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Review ArticleConfocal Laser Endomicroscopy inGastrointestinal and Pancreatobiliary Diseases:A Systematic Review and Meta-Analysis
Alessandro Fugazza,1 Federica Gaiani,1 Maria Clotilde Carra,2
Francesco Brunetti,3 Michaël Lévy,4 Iradj Sobhani,4,5 Daniel Azoulay,3
Fausto Catena,6 Gian Luigi de’Angelis,1 and Nicola de’Angelis3,5,7
1Unit of Gastroenterology and Digestive Endoscopy, University of Parma, 43100 Parma, Italy2University Paris VII-Denis Diderot, 75006 Paris, France3Unit of Digestive, Hepato-Pancreato-Biliary Surgery and Liver Transplantation,HenriMondorHospital, AP-HP, 94010Créteil, France4Department of Gastroenterology and Digestive Endoscopy, Henri Mondor Hospital, AP-HP, 94010 Créteil, France5Cancer Research Lab. EC2M3, Université Paris-Est, Val de Marne UPEC, 94010 Créteil, France6Emergency Surgery Department, University of Parma, 43100 Parma, Italy7Department of Advanced Biomedical Sciences, University Federico II of Naples, 80138 Naples, Italy
Correspondence should be addressed to Alessandro Fugazza; [email protected]
Received 6 September 2015; Accepted 31 December 2015
Academic Editor: Gerald J. Wyckoff
Copyright © 2016 Alessandro Fugazza et al. This is an open access article distributed under the Creative Commons AttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properlycited.
Confocal laser endomicroscopy (CLE) is an endoscopic-assisted technique developed to obtain histopathological diagnoses ofgastrointestinal and pancreatobiliary diseases in real time.The objective of this systematic review is to analyze the current literatureon CLE and to evaluate the applicability and diagnostic yield of CLE in patients with gastrointestinal and pancreatobiliary diseases.A literature search was performed on MEDLINE, EMBASE, Scopus, and Cochrane Oral Health Group Specialized Register, usingpertinent keywords without time limitations. Both prospective and retrospective clinical studies that evaluated the sensitivity,specificity, or accuracy of CLE were eligible for inclusion. Of 662 articles identified, 102 studies were included in the systematicreview. The studies were conducted between 2004 and 2015 in 16 different countries. CLE demonstrated high sensitivity andspecificity in the detection of dysplasia in Barrett’s esophagus, gastric neoplasms and polyps, colorectal cancers in inflammatorybowel disease, malignant pancreatobiliary strictures, and pancreatic cysts. Although CLE has several promising applications, its usehas been limited by its low availability, high cost, and need of specific operator training. Further clinical trials with a particular focuson cost-effectiveness andmedicoeconomic analyses, as well as standardized institutional training, are advocated to implement CLEin routine clinical practice.
1. Introduction
Confocal laser endomicroscopy (CLE) is an endoscopicmodality that was developed to obtain very high magnifica-tion of the mucosal layer of the gastrointestinal (GI) tract [1],and it has the potential to enable histological diagnosis in realtime [2]. CLE is based on tissue illumination using a low-power laser and the subsequent detection of fluorescent light
that is reflected back from the tissue through a pinhole [3].The term “confocal” refers to the alignment of both illumi-nation and collection systems in the same focal plane [4, 5].In brief, the laser light is focused at a selected depth in thetissue of interest and reflected light is then refocused ontothe detection system by the same lens. Only the returninglight that is refocused through the pinhole is detected. Anylight that is reflected or scattered at other geometric angles
Hindawi Publishing CorporationBioMed Research InternationalVolume 2016, Article ID 4638683, 31 pageshttp://dx.doi.org/10.1155/2016/4638683
2 BioMed Research International
from the illuminated object or any light that is refocused outof plane with the pinhole is excluded from detection. Thisdramatically increases the spatial resolution of CLE andenables cellular imaging and evaluation of tissue architectureat the focal plane to be performed during endoscopy [1].
To obtain confocal images, exogenous fluorescence agentscan be administered either topically or systemically [6]. Themost common topical contrast agents that are applied by aspraying catheter are acriflavine and cresyl violet [7], whereasthe most widely used systemically administered fluorescentagent is intravenous fluorescein sodium. Fluoresceins are non-toxic, and their administration has been associated with onlyrare adverse events, including transient hypotension with-out shock (0.5%), nausea (0.39%), injection site erythema(0.35%), self-limited diffuse rash (0.04%), andmild epigastricpain (0.09%) [8].
There are two types of CLE: endoscope-based (eCLE) andprobe-based (pCLE) endomicroscopy. To perform eCLE, adedicated endoscope with a miniaturized confocal scannerintegrated into the distal tip is employed [9]. This systemwas developed by Pentax (Tokyo, Japan) and enables simul-taneous endoscopic imaging to be performed. Additionally,it frees the endoscopic working channel, and it can be usedfor targeted biopsies or combined enhancement techniques[9, 10]. Images can be collected by sectioning down throughthe mucosa in 7 𝜇m increments to a depth of 250𝜇m. Imagestabilization is necessary to obtain good quality images [11].The second system is pCLE (Cellvizio, Mauna Kea Tech-nologies, Paris, France). In this system, confocal miniprobescan be passed down the accessory channel of any standardendoscope [12], providing rapid image capture and “stitching”of adjacent images to create a “mosaic image” in real time [11].The advantages of pCLE are its versatility and the possibilityof combining it with other imaging modalities such as virtualchromoendoscopy or magnification [9]. Image stabilizationcan be achieved by using a plastic cap on the endoscope tip.There are several types of probes that are characterized bydifferent imaging depths, fields of view, and lateral resolutions(Supplementary Table S1 in Supplementary Material avail-able online at http://dx.doi.org/10.1155/2016/4638683). Morerecently, a novel needle-based CLE (nCLE) miniprobe (AQ-Flex 19; Mauna Kea) has been developed which can passthrough a 19G needle to perform endoscopic ultrasound-guided fine-needle aspiration (EUS–FNA) on solid organsand lymph nodes [13–16]. The probes can be reused after dis-infection for as many as 10 to 20 examinations [1].
CLE can be applied to examine luminal structures, suchas esophagus, stomach, and colon, and ductal structures, suchas bile and pancreatic ducts. Ultimately, CLE can be used tooptimize endoscopic diagnoses, thereby reducing unneces-sary resections, avoiding repeated biopsies and unnecessaryfollow-up, and indirectly decreasing the risks and costs thatare associated with repeated indiscriminative endoscopicexams. However, the interpretation of CLE images is stillchallenging. A standard classification system for distinguish-ing between normal and pathological GI conditions has onlybeen developed for p-CLE devices; it was termed the MiamiClassification, and it was based on a consensus that wasreached among p-CLE users during a meeting that was held
in Miami in 2009 [12]. Conversely, international recommen-dations and guidelines for other CLE systems have not yetbeen assessed.
The objective of the present systematic review is to sum-marize and analyze the current literature evaluating the sensi-tivity and specificity of this novel imagingmodality (i.e., CLE)in detecting mucosal abnormalities. In assessing the availableliterature, we aimed to highlight the utility of CLE in thediagnosis of gastrointestinal and pancreatobiliary diseases,particularly in the screening or surveillance of dysplastic andneoplastic lesions, and to consider its potential future impacton daily clinical practice.
2. Methods
The methodological approach included the definition ofsearch strategies, the development of selection criteria, anassessment of study quality, and the abstraction of relevantdata.The PRISMA statements checklist for systematic reviewreporting was followed.
2.1. Study Inclusion Criteria. The study selection criteria weredefined prior to initiating data collection to enable the properidentification of eligible studies for inclusion in the analysis.
The search was restricted to studies that were performedin humans and that were published in English. Prospectiveand retrospective clinical studies were both eligible for inclu-sion, and there were no limits based on trial duration. Reviewarticles, case reports, commentaries, editorials, letters, andconference abstracts were not considered. Likewise, ex vivostudies were excluded. Endoscopic applications of CLE wereonly considered if theywere being used to evaluate the follow-ing types of diseases/lesions: Barrett’s esophagus; squamouscell carcinoma; esophagitis; gastroesophageal reflux disease;gastric polyps; gastric atrophy and reactive metaplasia, dys-plasia, and neoplasia; Helicobacter pylori-related gastritis;inflammatory bowel disease (IBD); celiac disease; colonicneoplasm; colonic polyps; biliary duct disease; and benign ormalignant pancreatic diseases. To be eligible for inclusion, astudy must have included at least one of the following out-comes: sensitivity, specificity, positive predictive value (PPV),negative predictive value (NPV), accuracy, description ofCLE indications, or mucosal features found using CLE.
2.2. Literature Search Strategy. A literature search was per-formed using the following online databases: MEDLINE(through PubMed), EMBASE, Scopus, and Cochrane OralHealth Group Specialized Register. A grey literature searchwas also performed by using the OpenGrey database. Toincrease the probability of identifying all relevant articles, aspecific research equation was formulated for each database,using the following key words and/or MeSH terms: confocallaser endomicroscopy, CLE, endomicroscopy, gastrointesti-nal, esophagus, esophageal, bile duct, biliary, gastric, colon,colic, pancreatic, and pancreas. Additionally, reference listsfrom eligible studies and relevant review articles (not inclu-ded in the systematic review) were cross-checked to identifyadditional studies.
BioMed Research International 3
2.3. Study Selection and Quality Assessment. The titles andabstracts of the retrieved studies were independently andblindly screened for relevance by two reviewers (AlessandroFugazza and Federica Gaiani). A full article was retrievedwhen the information in the title and/or abstract appearedto meet the objective of this review. To enhance sensitivity,records were removed only when both reviewers excludedthe record at the title screening level. All disagreements wereresolved through discussionswith a third and fourth reviewer(Nicola de’Angelis, Michaël Lévy). Subsequently, two review-ers (Alessandro Fugazza, Federica Gaiani) independentlyperformed a full-text analysis and quality assessment of theselected articles. The Cochrane criteria, which are describedin the Cochrane Handbook for Systematic Reviews of Inter-ventions [17], were applied for randomized clinical trials,and the Newcastle-Ottawa Scale (NOS) [18] was used fornonrandomized studies.
2.4. Data Extraction and Analysis. The data that were extra-cted from the studies for inclusion in the systematic reviewwere processed for qualitative and possibly quantitative anal-yses. The data were collected and summarized based onwhether CLEwas applied for gastrointestinal or pancreatobil-iary diseases. Data that would enable us to perform “perpatient,” “per biopsy,” and “per lesion” analyses were sepa-rately extracted whenever available. A “per patient” analysiswas performed by comparing each patient’s final CLE out-come against their histopathological diagnosis; similarly, “perbiopsy” and “per lesion” analyses were conducted by com-paring images produced by CLE with the results of histologicbiopsies. All data extraction was performed by one author(Alessandro Fugazza) and was verified by a second author(Federica Gaiani), and a 100% rate of final agreement wasmaintained.
To performquantitative analysis, data on sensitivity, spec-ificity, PPV, NPV, and main findings were extracted from theeligible studies. If necessary and possible, outcome variableswere calculated by the authors based on the data that wereavailable in individually selected studies. Only on-site (i.e.,real-time) data of CLE imaging analysis were considered.Meta-analyses were performed using MetaDisc (version 5.2;Clinical Biostatistics Unit, Hospital Ramon y Cajal, Madrid,Spain) [19]. Heterogeneity was assessed using 𝐼2 statistics.
3. Results
All database searches were performed without time limituntil January 2015. Overall, the combined search identified662 articles (after removing duplicates); of these, 348 wererejected based upon title and abstract evaluation. Out of theremaining articles, which underwent full-text evaluations,212 were excluded because they either were not pertinent tothe review questions, had nonrelevant study designs, or hadlanguage limitations. A final total of 102 articles were con-sidered to be eligible for the systematic review and wereevaluated by both qualitative and quantitative analyses. Aflowchart of the study’s identification and inclusion/exclusionprocesses is shown in Figure 1.
3.1. Study Characteristics. The studies that were includedwere published between 2004 and 2015. They included 8RCTs, 85 prospective studies, and 9 retrospective studies.Twenty-eight (27.4%) studies were multicentric, with a maxi-mum of 8 centers included. The studies were conducted in 16different countries. The included single-center studies wereconducted in Asia (𝑛 = 33), Europe (𝑛 = 31), USA (𝑛 = 7),andOceania (𝑛 = 3); themulticentric studies were conductedin Europe + USA (𝑛 = 15), Europe + Asia (𝑛 = 2), Europe(𝑛 = 5), and the USA (𝑛 = 6).
Overall, the 102 included studies enrolled a total of 6943patients; the number of patients per study ranged from 4to 1572, with a median sample of 67.4 patients. The medianpatient age was 56.9 years (range: 0.7 to 90 years). All of thepatients that underwent CLE were administered intravenousfluorescein prior to the procedure.
The outcomes produced by CLE technology are hereafterclassified by organ of application, including esophagus, stom-ach, pancreas, biliary tree, and colon.
3.2. Esophagus. The most important application of CLE inthe esophagus is the surveillance and evaluation of suspiciouslesions in patients presenting with Barrett’s esophagus (BE)[20–31]. With regard to the detection of premalignant andmalignant transformations of metaplasia in BE patients, a“per biopsy” meta-analysis of 7 studies [20, 21, 23–26, 30]resulted in a pooled sensitivity of 58% (CI
95%: 52%–63%;𝐼2: 95.2%), a pooled specificity of 90% (CI
95%: 89%–91%;𝐼2: 96.9%), a pooled positive likelihood ratio (LR) of 11.57(CI95%: 5.38–24.89; 𝐼
2: 93.7%), and a pooled negative LR of0.23 (CI
95%: 0.08–0.64; 𝐼2: 98%).The area under the curvewas
0.9758. A “per patient” meta-analysis based on 4 studies [21,24, 30, 31] yielded a pooled sensitivity of 79% (CI
95%: 65%–90%; 𝐼2: 58.5%), a pooled specificity of 90% (CI
95%: 85%–94%;𝐼2: 82.9%), a pooled positive LR of 8.04 (CI
95%: 2.28–28.3; 𝐼2:
83.5%), and a pooled negative LR of 0.24 (CI95%: 0.08–0.69;
𝐼2: 55.4%). The area under the curve was 0.926 (Figure 2 andTable 1). Only anecdotal reports have described using CLEto detect the features of squamous cell carcinoma [32–34],reflux esophagitis [35], and nonerosive reflux disease (NERD)[36].These latter studies were not included in the quantitativeanalysis (Table 1).
3.3. Stomach and Duodenum. Theuse of CLE in patients pre-senting with gastric disease has raised great interest, particu-larly in Asian countries, where these pathologies are highlyprevalent. The primary applications of CLE with respect tothe stomach and duodenum have included the detection ofpolyps and neoplastic lesions and the study of gastritis andmetaplastic lesions [37, 41, 43, 44, 46, 47, 49, 51, 52, 54, 56];the application of CLE has also shown utility in patients withceliac disease [60–62] andHelicobacter pylori-related gastritis[58] (Table 2). The performance of this innovative techniquehas been evaluated both alone and in comparison or in addi-tion to other methods, such as endoscopic ultrasound (EUS)and narrow band imaging (NBI); however, the majority ofthese studies had descriptive aims and focused on the utilityof employing CLE in targeting biopsies [40, 48].With respect
4 BioMed Research International
Table1:Summaryof
thes
tudies
applying
CLEfore
soph
ageallesionscreeninganddiagno
sis(“perb
iopsy”
or“per
patie
nt”a
nalysis
).
Author
andyear
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Barrett’sesop
hagus
Kiesslich
etal.200
6[20]
Germany
63patie
nts
156biop
sies
58.7
92.9
n/a
98.4
n/a
92.9
n/a
98.4
n/a
97.4
n/a
CLEmay
behelpfulinthem
anagem
ent
ofpatie
ntsw
ithBE
becauseg
astric,
Barrett’sepith
elium
,and
Barrett’s
associated
neop
lasticc
hanges
canbe
diagno
sedwith
high
accuracy.
Pohl
etal.
2008
[21]
Germany
38patie
nts
201b
iopsies
62.1
75 8057.9
94.1
n/a
44.4
91.7
98.8
60.9
93.3
CLEshow
edah
ighNPV
forthe
diagno
sisof
endo
scop
icallyinvisib
leneop
lasia
inBE
.Dun
bare
tal.2009
[22]
USA
39patie
nts
64n/a
n/a
n/a
n/a
n/a
CLEincreasesd
iagn
ostic
yield
for
neop
lasia
andredu
cesthe
numbero
fmucosalbiop
sies.
Wallace
etal.2010
[23]
USA
Germany
France
5patie
nts
20biop
sies
38–86
n/a
88n/a
96n/a
n/a
n/a
n/a
n/a
92
pCLE
hasv
eryhigh
accuracy
and
reliabilityforthe
diagno
sisof
neop
lasia
inBE
.
Bajbou
jet
al.2010
[24]
Germany
68patie
nts
703biop
sies
6060 12
95 9567 18
93 92n/a
n/a
pCLE
canbe
regarded
asno
ninferiorto
endo
scop
icbiop
sybu
t,foritslowPP
Vandsensitivity,m
aycurrently
notreplace
standard
biop
sytechniqu
esforthe
diagno
sisof
BEandassociated
neop
lasia
.
Sharmae
tal.2011
[25]
USA
France
Germany
101p
atients
874biop
sies
65.1
n/a
62.5
n/a
92.7
n/a
57.7
n/a
94.0
n/a
n/a
pCLE
combinedwith
HD-W
LEsig
nificantly
improved
thea
bilityto
detectneop
lasia
inBE
patie
ntsc
ompared
with
HD-W
LE.
Jayasekera
etal.2012
[26]
Austr
alia
50patie
nts
1117
biop
sies
66n/a
75.7
n/a
80.0
n/a
98.1
n/a
19.4
n/a
79.9
Minim
aladditio
nald
iagn
ostic
impactof
CLEaboveH
D-W
LEandNBI
inthe
assessmento
fBE.
Wallace
etal.2012
[27]
USA
France
UK
164patients
67.9
69.6
n/a
n/a
n/a
n/a
n/a
Thea
ddition
ofpC
LEto
high
-definitio
nwhitelight
imagingdo
esno
timprove
diagno
sticaccuracy
norc
linicalou
tcom
esin
patie
ntsu
ndergoingablationor
resectionforB
E.
Nguyenet
al.2012
[28]
USA
18patie
nts
72.6
n/a
n/a
n/a
n/a
n/a
Endo
scop
istsw
ithminim
alexperie
ncein
CLEcaneffectiv
elyusethistechn
olog
yfortargetedbiop
sy,decreasingthen
eed
forintense
tissues
amplingwith
out
loweringthed
iagn
ostic
yieldin
detecting
dysplasia
.
BioMed Research International 5
Table1:Con
tinued.
Author
andyear
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Bertaniet
al.2013
[29]
Italy
100patie
nts
59.7
100
8367
100
n/a
Incident
dysplasia
canbe
morefrequ
ently
detected
bypC
LEthan
byHD-W
LEin
BE.Th
ehigherd
ysplasiadetectionrate
provided
bypC
LEcouldim
provethe
efficacy
ofBE
surveillancep
rogram
s.
Trovatoet
al.2013
[30]
Italy
48patie
nts
422biop
sies
5483.3
93.3
95.2
98.2
71.4
66.6
97.6
99.7
93.7
98.1
CLEcanprovideinvivo
diagno
sisof
Barretttum
or-associatedesop
hagus
leadingto
significantimprovem
entsin
screeningandmon
itorin
gof
invivo
BE.
Cantoet
al.2014
[31]
USA
Germany
192patie
nts
978biop
sies
6295 86
92 9377 65
98 9893 92
Real-timeC
LEandTB
after
HD-W
LEcanim
provethe
diagno
sticyieldand
accuracy
forn
eoplasiaandsig
nificantly
impactin
vivo
decisio
n-makingby
alterin
gthed
iagn
osisandguiding
therapy.
Squamou
scellcarcino
ma
Pech
etal.
2008
[32]
Germany
21patients
64100
87.5
93100
95
CLEisableto
providev
irtualh
istolog
yof
early
squamou
scell
cancersw
ithah
igh
degree
ofaccuracy
andcanfacilitater
apid
diagno
sisdu
ringroutinee
ndoscopy.
Liuetal.
2009
[33]
China
27patie
nts
61.1
n/a
n/a
n/a
n/a
n/a
CLEcanbe
used
todistinguish
cancerou
sfro
mno
rmalepith
elium,w
hich
givesit
potentialvalue
fore
arlydetectionof
esop
hagealcarcinom
a.
Iguchi
etal.2009
[34]
Japan
15patie
nts
65.9
n/a
n/a
n/a
n/a
n/a
Scoringandqu
antifi
catio
nof
CLEim
ages
may
beuseful
forthe
differential
diagno
sisanddeterm
inationof
superficialinvasio
nby
squamou
scell
carcinom
a.Re
fluxesop
hagitis,non
erosiver
eflux
disease(NER
D)
Venk
atesh
etal.2012
[35]
Australia
23patie
nts
7.6 12n/a
n/a
n/a
n/a
n/a
Measuremento
fthe
S-Pdistance
byCL
Ewill
enablereal-timed
iagn
osisof
GER
D-related
esop
hagitis
durin
gon
goingendo
scop
y.
Chuetal.
2012
[36]
China
46patie
nts
48.12
45.23
n/a
n/a
n/a
n/a
n/a
CLErepresentsau
sefuland
potentially
significantimprovem
ento
verstand
ard
endo
scop
yto
exam
inethe
microalteratio
nsof
thee
soph
agus
invivo.
6 BioMed Research International
Records identified throughMEDLINE database
Records identified throughScopus database searching
Records identified throughCochrane database
Records identified throughEMBASE database
Additional recordsidentified through other
Articles retained afterfull-text evaluation
348 records excludedbecause of being nonpertinentto the review question or not
eligible study design
212 articles excluded because of(i) being nonpertinent to the review
Studies included inqualitative synthesis
Studies using CLE inthe esophagus
Studies using CLE in thestomach and duodenum
Studies using CLE inthe biliary duct
Studies using CLEin the pancreas
Studies using CLEin the lower GI
(n = 314)
(n = 102)
(n = 17) (n = 26) (n = 44) (n = 10) (n = 5)
n = 12)(iii) language limitations (
(ii) being nonpertinent study designsquestion (n = 20)
Records retained after screening on title and abstract (n = 662)
sources (n = 0)searching (n = 89)searching (n = 0)(n = 27)searching (n = 546)
(n = 180)
Figure 1: Flow chart of the electronic literature search strategy using Medline, Scopus, Embase, and other sources.
to the detection and diagnosis of polyps and neoplasticlesions, a “per patient” meta-analysis was only possible for 3of the included studies [43, 45, 46], and it yielded a pooledsensitivity of 85% (CI
95%: 78%–91%; 𝐼2: 52.3%), a pooled
specificity of 99% (CI95%: 98%-99%; 𝐼
2: 92.9%), a pooledpositive LR of 16.49 (CI
95%: 1.48–183.19; 𝐼2: 96%), and a
pooled negative LR of 0.16 (CI95%: 0.08–0.35; 𝐼
2: 57.4%)(Figure 3).The area under the curve was 0.929.The estimateddiagnostic accuracy of CLE ranged from 85% to 98.8%. Withrespect to the study of gastritis and gastric metaplasia, 6studies [50, 51, 53–56]were included in the “per biopsy”meta-analysis, which resulted in a pooled sensitivity of 94% (CI
95%:92%–96%; 𝐼2: 54.8%), a pooled specificity of 95% (CI
95%:92%–97%; 𝐼2: 55.6%), a positive LR of 17.66 (CI
95%: 9.04–34.51; 𝐼2: 63.8%), and a negative LR of 0.07 (CI
95%: 0.04–0.12;𝐼2: 47.4%). The area under the curve was 0.9832 (Figure 4).
A meta-analysis of two studies regarding HelicobacterPylori-related gastritis [57, 58] yielded a pooled sensitivity of86% (CI
95%: 76%–93%; 𝐼2: 0%), a pooled specificity of 93%
(CI95%: 87%–97%; 𝐼
2: 2.6%), a positive LR of 11.28 (CI95%: 5.4–
23.57; 𝐼2: 15.5%), and a negative LR of 0.16 (CI95%: 0.09–0.27;
𝐼2: 0%) (Figure S1).
The use of CLE in assessing celiac disease, with respect tointraepithelial lymphocytes and villous atrophy, was provento have high sensitivity and specificity. A meta-analysisperformed on 3 studies [60–62] produced a pooled sensitivity
of 84% (CI95%: 72%–92%; 𝐼
2: 71.3%), a pooled specificity of94% (CI
95%: 85%–99%; 𝐼2: 66.4%), a positive LR of 9.9 (CI
95%:2.12–46.35; 𝐼2: 53.9%), and a negative LR of 0.15 (CI
95%: 0.04–0.52; 𝐼2: 45.2%). The area under the curve was 0.9691 (FigureS2).
3.4. Colon. There is a wide range of applications for the useof CLE in patients with colonic diseases. These include thedescription of elementary and pathognomonic lesions in IBD[63–75], the detection of dysplasia/neoplasia in healedmucosa in IBDpatients [76–81], and themicroscopic descrip-tion of colorectal polypoid lesions and neoplasms [82–102].Although they have been less extensively studied, additionalapplications of CLE include obtaining microscopic descrip-tions of mucosa in patients with irritable bowel syndrome(IBS) [105, 106], infectious colitis (i.e., clostridium difficileinfection) [104], and colitis associated with Graft versus HostDisease (GVHD) [103] (Table 3).
A meta-analysis of 4 studies [77, 79–81] that investigateddysplasia and neoplasia in IBD patients produced a pooled“per lesion” sensitivity of 80% (CI
95%: 61%–92%; 𝐼2: 84.5%),
a pooled specificity of 93% (CI95%: 89%–96%; 𝐼
2: 86.3%), apooled positive LR of 8.76 (CI
95%: 1.78–44.23; 𝐼2: 71.7%), and
a pooled negative LR of 0.25 (CI95%: 0.01–7.44; 𝐼
2: 96.2%).Thearea under the curve was 0.9630 (Figure 5). A meta-analysisof 7 studies that investigated colorectal neoplasms and polyps
BioMed Research International 7
Table2:Summaryof
thes
tudies
applying
CLEforg
astricanddu
odenallesio
nscreeninganddiagno
sis(“perb
iopsy”
analysisor
“per
patie
nt”a
nalysis
).
Author
andyear
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Polyps
andneop
lasticlesions
ofthes
tomach
Kakejiet
al.2006
[37]
Japan
9patie
nts
n/a
n/a
n/a
n/a
n/a
n/a
CLEcouldbe
anew
screeningtoolfor
early
detectionof
malignancy.
Kitabatake
etal.200
6[38]
Japan
27patie
nts
7081.8
97.6
n/a
n/a
97.4
CLEmay
allowvirtualbiopsyin
the
future
with
mores
tableimaging
cond
ition
.
Liuetal.
2008
[39]
China
24patie
nts
n/a
n/a
n/a
n/a
n/a
n/a
CLEob
servations
ofvascular
architecture
may
beassistant
intheidentificatio
nof
early
gastr
oesoph
agealcancer.
Gheorgh
eetal.200
9[40]
Romania
11patie
nts
59.7
n/a
n/a
n/a
n/a
n/a
CLEandendo
scop
icultrasou
ndare
successfu
llyassociated
forh
istological
assessment,diseases
taging
,and
optim
altherapeutic
decisio
n.
Bann
oet
al.2010
[41]
Japan
29patie
nts
68.6
86.4
83.3
n/a
n/a
85
TheC
LEdiagno
sisof
them
ucin
phenotypeingastric
cancersw
aslim
ited
tointestinalandmixed
phenotypes
but
may
beuseful
forthe
diagno
sisof
mucin
phenotypea
nddifferentiald
iagn
osis.
Lietal.
2010
[42]
China
66patie
nts
17–81
n/a
n/a
n/a
n/a
90CL
Edemon
stratesh
ighaccuracy
ofdifferentiatin
ghyperplasticpo
lyps
and
adenom
as.
Lietal.
2010
[43]
China
108patie
nts
5777.8
81.8
n/a
n/a
n/a
CLEisan
acceptableandpo
tentially
useful
techno
logy
forthe
identifi
catio
nandgradingof
gastric
intraepithelial
neop
lasia
invivo.Th
ediagn
ostic
accuracy
needstobe
improved.
Jeon
etal.
2011[44]
Korea
31patie
nts
61.6
n/a
n/a
n/a
n/a
94.2
CLEdemon
stratesa
high
diagno
stic
accuracy
forg
astricepith
elialn
eoplasia.
Theu
seof
CLEcouldpo
ssiblyredu
cethe
numbero
funn
ecessary
biop
siesa
ndmistaken
diagno
sesb
eforee
ndoscopic
subm
ucosaldissectio
n.
8 BioMed Research International
Table2:Con
tinued.
Author
andyear
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Jietal.
2011[45]
China
24patie
nts
61.2
100
89.5
n/a
n/a
91.7
CELhash
ighaccuracy
forp
redictionof
remnant
tissuea
ftere
ndoscopicm
ucosal
resectionandmay
lead
tosig
nificant
improvem
entsin
clinicalsurveillance
after
endo
scop
icresection.
Lietal.
2011[46]
China
1572
patie
nts
58.1
88.9
99.3
85.3
99.5
98.8
CLEcanbe
used
toidentifygastric
superficialcancer/H
GIN
lesio
nswith
high
valid
ityandreliability.
Lim
etal.
2011[47]
China
36patie
nts
>50
95.2
93.3
n/a
n/a
n/a
Experie
nceinCL
Ewas
associated
with
greatera
ccuracyin
thed
iagn
osisof
gastric
intestinalmetaplasia
.
Wangetal.
2012
[48]
China
59patie
nts
63.1
90.6
84.6
n/a
n/a
88
CLEdemon
stratesh
ighdiagno
stic
accuracy,sensitivity,and
specificityfor
diagno
sticcla
ssificatio
nof
gastric
intraepithelialn
eoplasia.
Boketal.
2013
[49]
Korea
46patie
nts
65.3
n/a
n/a
n/a
n/a
91.7
pCLE
canprovidea
naccuratediagno
sisforsup
erficialgastricneop
lasia
,and
ithas
thep
otentia
ltocompensatefor
the
inherent
limitatio
nsof
acon
ventional
endo
scop
icbiop
sy.
Gastritisa
ndgastric
metaplasia
Guo
etal.
2008
[50]
China
53patie
nts
267biop
sies
51.2
n/a
98.1
n/a
95.3
n/a
96.9
n/a
97.14
n/a
n/a
CLEisau
sefuland
potentially
impo
rtant
metho
dforthe
diagno
sisand
classificatio
nof
gastric
intestinal
metaplasia
invivo.
Jietal.
2011[51]
China
76patie
nts
145biop
sies
48.8
n/a
86.2
n/a
97.4
n/a
89.3
n/a
96.6
n/a
92.8
CLEisuseful
foridentify
inggastric
metaplasia
.Thesefi
ndings
couldhave
potentialapp
licabilityford
uodenal
screeningandsuggesta
possibletargeting
therapyin
functio
nald
yspepsia.
Jietal.
2012
[52]
China
42patie
nts
50.4
n/a
n/a
n/a
n/a
n/a
CLEallowsfun
ctionalimagingof
mucosalbarrierd
efects.
Gastricintestinal
metaplasia
isassociated
with
anim
paire
dparacellu
larb
arrie
rirrespectiveo
fH.
pylorieradication.
BioMed Research International 9
Table2:Con
tinued.
Author
andyear
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Lim
etal.
2013
[53]
China
20patie
nts
125biop
sies
62.5
n/a
90.9
n/a
84.7
n/a
n/a
n/a
n/a
n/a
88
pCLE
was
superio
rtoautoflu
orescence
imagingandwhite-lightend
oscopy
for
diagno
singgastric
intestinalmetaplasia
.Off-siter
eviewim
proved
perfo
rmance
ofpC
LE.
Pitta
yano
netal.2013
[54]
Thailand
60patie
nts
120biop
sies
62.8
n/a
96n/a
90n/a
86n/a
97n/a
92
Com
bining
pCLE
with
magnifying
flexibles
pectralimagingcolor
enhancem
ent(ME-FICE
)providesh
igh
sensitivityandNPV
forg
astricintestinal
metaplasia
detection.
Thep
rompt
histo
logy
readingby
thistechniqu
emay
avoidun
necessarybiop
sy.
Lietal.
2014
[55]
China
168patients
492biop
sies
55n/a
91.6
n/a
96.7
n/a
n/a
n/a
n/a
n/a
n/a
CLEwith
targeted
biop
siesissup
eriorto
white-lightend
oscopy
with
standard
biop
siesfor
thed
etectio
nandsurveillance
ofgastric
intestinalmetaplasia
.The
numbero
fbiopsiesn
eededto
confi
rmgastric
intestinalmetaplasia
isabou
ton
e-third
ofthatneeded
with
white-light
endo
scop
ywith
stand
ardbiop
sies.
Liuetal.
2015
[56]
China
87patie
nts
130biop
sies
49.7
n/a
91.9
n/a
96.8
n/a
90.4
n/a
97.3
n/a
95.6
CLEisreliablefor
real-timea
ssessm
ento
fatroph
icgastritisandisalso
ableto
differentiatemetaplasticfro
mno
nmetaplasticatroph
y.Helicobacter
pylorirelated
gastritis
Jietal.
2010
[57]
China
103patie
nts
48.4
89.2
95.7
94.3
91.7
92.8
CLEdu
ringendo
scop
ycanaccurately
identifyspecificc
ellulara
ndsubcellular
changeso
fthe
surfa
cegastr
icmucosa
indu
cedby
H.pyloriinfectio
n.
Wangetal.
2010
[58]
China
118patie
nts
49.8
82.9
90.9
n/a
n/a
n/a
CLEcanaccuratelyshow
theh
istological
severityof
H.pyloriinfectio
n-associated
gastritis.
10 BioMed Research International
Table2:Con
tinued.
Author
andyear
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Duo
denalinfl
ammatorybo
weldisease
Lim
etal.
2014
[59]
Germany
Japan
UK
25patie
nts
n/a
n/a
n/a
n/a
n/a
n/a
CLEcandetectepith
elialdamagea
ndbarrierlossinthed
uodenu
mof
Croh
n’sDise
asea
ndUlce
rativ
eColitisp
atients
thatisno
tapp
arento
nconventio
nal
endo
scop
yor
histo
logy.
Celiac
disease
Leon
get
al.2008
[60]
Australia
31patie
nts
4194
92n/a
n/a
n/a
CLEcaneffectiv
elydiagno
seandevaluate
celiacd
iseases
everity
invivo
with
potentialtoim
provee
ndoscopy
efficiency.
Gün
ther
etal.2010
[61]
Germany
60patie
nts
5773
100
n/a
n/a
n/a
Thea
ssessm
ento
fduo
denalh
istologyby
CLEin
patientsw
ithceliacd
iseaseis
sensitive
andspecificindeterm
ining
increasednu
mbersof
intraepithelial
lymph
ocytes
andvillo
usatroph
ybu
tinsufficientinrespecto
fcrypt
hyperplasia
.For
routineu
seof
CLEin
patie
ntsw
ithceliacd
isease,thetechn
ique
wou
ldneed
tobe
improved.
Venk
atesh
etal.2010
[62]
UK
19patie
nts
8.35
100
8081
n/a
n/a
CELoff
ersthe
prospectof
diagno
sisof
celiacd
iseased
uringon
goingendo
scop
y.Italso
enablestargetin
gbiop
siesto
abno
rmalmucosaa
ndtherebyincreasin
gthed
iagn
ostic
yield,especiallywhen
villo
usatroph
yispatchy
inthe
duod
enum
.𝑁
stands
forthe
numbero
fpatientse
nrolledin
thestu
dy;n
/a,n
otavailableor
notapp
licable;p
CLE,
prob
e-basedconfocallasere
ndom
icroscop
y;CL
E,confocallasere
ndom
icroscop
y;PP
V,po
sitivepredictiv
evalue;NPV
,negativep
redictivev
alue;and
BE,B
arrett’se
soph
agus.
BioMed Research International 11
Table3:Summaryof
thes
tudies
evaluatin
gCL
Ein
lower
gastrointestinaldiseases
creening
anddiagno
sis(“perp
atient”a
nd“per
lesio
n”analysis).
Author
and
year
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Inflammatorybo
weldisease
Watanabee
tal.2008[63]
Japan
31patie
nts
n/a
n/a
n/a
n/a
n/a
n/a
Images
obtained
with
CLEprovide
equivalent
inform
ationto
conventio
nal
histo
logy.
Trovatoetal.
2009
[64]
Italy
18patie
nts
253lesio
ns70
n/a
94.1
n/a
100
n/a
n/a
n/a
n/a
n/a
94.4
Endo
microscop
ymay
behelpfulinthe
evaluatio
nof
morph
ologicchangesinileal
pouch.
Lietal.2010
[65]
China
73patie
nts
50.4
n/a
n/a
n/a
n/a
n/a
CLEisreliablefor
real-timea
ssessm
ento
finflammationactiv
ityin
UCby
evaluatio
nof
cryptarchitecture,microvascular
alteratio
ns,and
fluorescein
leakage.
Liuetal.2011
[66]
Canada
USA
57patie
nts
46.6
n/a
n/a
n/a
n/a
n/a
Epith
elialgap
density
visualized
byCL
Eis
significantly
increasedin
patie
ntsw
ithIBD
comparedwith
controls.
Mou
ssatae
tal.2011[67]
France,
Germany,
andUK
21patie
nts
26lesio
nsn/a
n/a
89n/a
100
n/a
100
n/a
80n/a
92.3
CLEisan
ewtoolthatcanim
age
intram
ucosalbacteriain
vivo
inpatie
nts
with
IBD.
Kiesslich
etal.2012[68]
Germany,
France,U
K,andCh
ina
58patie
nts
n/a
62.5
91.2
n/a
n/a
79
Cell
shedding
andbarrierlossd
etectedby
CLEpredictrelapse
ofIBDandhave
potentialasa
diagno
stictoolforthe
managem
ento
fthe
disease.
Kraussetal.
2012
[69]
Germany
146patie
nts
34.9
n/a
n/a
n/a
n/a
n/a
CLEallowsthe
analysisof
thes
ubsurfa
cestr
ucture
oflymph
oidfollicle
s,those
surrou
nded
byar
edrin
gmay
representan
early
markero
fCD.
Neumannet
al.2012[70]
Germany
72patie
nts
39n/a
n/a
n/a
n/a
n/a
CLEhasthe
potentialtosig
nificantly
improved
iagn
osisof
CDcomparedwith
standard
endo
scop
y.
Turcotteetal.
2012
[71]
Canada,U
SA41
patie
nts
41.1
n/a
n/a
n/a
n/a
n/a
Increasedepith
elialgaps
inthes
mall
intestinea
sdetermined
bypC
LEarea
predictorfor
future
hospita
lizationor
surgeryin
IBDpatie
nts.
Musqu
eret
al.2013[72]
France,U
SA16
patie
nts
35.5
n/a
n/a
n/a
n/a
n/a
CLEallowsq
uantitativ
eanalysis
ofcolonic
pitstructure
inhealthyandCD
patie
nts.
12 BioMed Research International
Table3:Con
tinued.
Author
and
year
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Atreya
etal.
2014
[73]
Germany
25patie
nts
41.6
n/a
n/a
n/a
n/a
n/a
Molecular
imagingwith
fluorescent
antib
odiesh
asthep
otentia
ltopredict
therapeutic
respon
sestobiological
treatmentinCD
andautoim
mun
eor
inflammatorydisorders.
Buda
etal.
2014
[74]
Italy,
Germany,
andUK
38patie
nts
52n/a
n/a
n/a
n/a
n/a
Invivo
intram
ucosalchangesd
etectedby
CLEin
UCremittentp
atientsc
anpredict
diseaser
elapse.
Lietal.2014
[75]
China
43patie
nts
4495.7
85n/a
n/a
90.7
CLEiscomparabletoconventio
nalhistolog
yin
predictin
grelap
sein
patie
ntsw
ithUC.
Dysplasia/neoplasiain
inflammatorybo
weldisease
Hurlston
eet
al.2007[76]
UK
36patie
nts
56n/a
n/a
n/a
n/a
97
Adenom
aLikeM
assesa
ndDisp
lasia
AssociatedLesio
nalM
assesc
anbe
differentiatedby
CLEwith
ahighoverall
accuracy
inpatie
ntsw
ithUlcerativeC
olitis.
Kiesslich
etal.2007[77]
Germany
153patie
nts
134lesio
ns44
n/a
94.7
n/a
98.3
n/a
90n/a
99.1
n/a
97.8
Chromoscopy-guidedendo
microscop
ycan
determ
ineifU
lcerativ
eColitissho
uld
undergobiop
syexam
ination,
increasin
gthe
diagno
sticyieldandredu
cing
then
eedfor
biop
syexam
inations.
Gün
ther
etal.
2011[78]
Germany
150patie
nts
48.3
n/a
n/a
n/a
n/a
n/a
CLEtargeted
biop
siesled
tohigh
erdetectionrateso
fintraepith
elialn
eoplasiain
patie
ntsw
ithlong
-stand
ingUC.
Hlavatyetal.
2011[79]
Slovakia
30patie
nts
68lesio
nsn/a
n/a
100
n/a
98.4
n/a
66.7
n/a
100
n/a
n/a
CLEtargeted
biop
siesa
resuperio
rto
rand
ombiop
siesinthes
creening
ofintraepithelialn
eoplasiain
patie
ntsw
ithinflammatorybo
weldisease.
vanden
Broeketal.
2011[80]
Netherla
nds
22patie
nts
87lesio
ns54
n/a
65n/a
82n/a
n/a
n/a
n/a
n/a 81
pCLE
forU
Csurveillanceisfeasib
lewith
reason
ablediagno
sticaccuracy.
Rispoetal.
2012
[81]
Italy
51patie
nts
14biop
sies
52n/a
100
n/a
90n/a
83n/a
100
n/a
n/a
CLEisan
accuratetoolforthe
detectionof
dysplasia
inlong
-stand
ingUlce
rativ
eColitis,lim
iting
then
eedof
biop
sies.
BioMed Research International 13
Table3:Con
tinued.
Author
and
year
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Colorectaln
eoplasmsa
ndpo
lyps
Kiesslich
etal.200
4[82]
Germany
42patie
nts
390lesio
ns64
.2n/a
97.4
n/a
99.4
n/a
n/a
n/a
n/a
n/a
99.2
CLEenables
virtualh
istologyof
neop
lastic
changesw
ithhigh
accuracy,optim
izing
diagno
sisdu
ringcolono
scop
y.
Odagietal.
2007
[83]
Japan
45patie
nts
63n/a
n/a
n/a
n/a
n/a
CEM
provides
endo
scop
istsw
ithav
aluable
newdiagno
stictoo
l,foro
bserving
tissuein
situattheh
istop
atho
logicallevel,
allowing
evaluatio
nof
physiologicalfun
ctiondu
ring
endo
scop
icexam
ination.
Wangetal.
2007
[84]
USA
54patie
nts
n/a
9187
n/a
n/a
89CL
Eprovides
invivo
realtim
epatho
logical
interpretatio
nof
tissue.
Buchnere
tal.
2010
[85]
USA
75patie
nts
119lesio
ns73
n/a
88n/a
76n/a
n/a
n/a
n/a
n/a
n/a
CLEdemon
stratesh
ighersensitivity
than
chromoend
oscopy
with
similarspecificity
indifferentiatin
gcolorectalpo
lyps.
DeP
almae
tal.2010[86]
Italy
20patie
nts
32lesio
ns62.5
n/a
100
n/a
84.6
n/a
90.5
n/a
100
n/a
92.3
pCLE
perm
itshigh
-qualityim
aging
enablin
gpredictio
nof
intraepithelial
neop
lasia
with
high
levelofaccuracy.
Góm
ezetal.
2010
[87]
USA
,Netherla
nds,
andGermany
53patie
nts
75lesio
nsn/a
n/a
76n/a
72n/a
n/a
n/a
n/a
n/a 75
Aninternationalcollabo
ratio
ngrou
phad
mod
eratetogood
interobservera
greement
usingap
CLEsyste
mto
predictn
eoplasia.
Sand
uleanu
etal.2010
[88]
Netherla
nds
72patie
nts
116lesio
ns72
n/a
97.3
n/a
92.8
n/a
n/a
n/a
n/a
n/a
95.7
C-CL
Eaccuratelydiscrim
inates
adenom
atou
sfrom
nonadeno
matou
scolorectalpo
lyps
andenablese
valuationof
degree
ofdysplasia
durin
gon
going
endo
scop
y.
Xiee
tal.2011
[89]
China
115patie
nts
115lesio
ns51.6
n/a
93.9
n/a
95.9
n/a
96.9
n/a
92.2
n/a
n/a
Endo
scop
eintegratedCL
Ewith
fluorescein
staining
may
reliablyassistinther
eal-tim
eidentifi
catio
nof
colonica
deno
mas.
And
réetal.
2012
[90]
USA
,France
71patie
nts
135lesio
ns75
n/a
91.4
n/a
85.7
n/a
n/a
n/a
n/a
n/a
89.6
Thep
ropo
sedsoftw
arefor
automated
classificatio
nof
pCLE
videos
ofcolonic
polyps
achieves
high
perfo
rmance,
comparabletothatof
offlined
iagn
osisof
pCLE
videos
establish
edby
expert
endo
scop
ists.
14 BioMed Research International
Table3:Con
tinued.
Author
and
year
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Cârţânăe
tal.
2012
[91]
Romania
4patie
nts
n/a
n/a
n/a
n/a
n/a
n/a
Imagingof
bloo
dvessels
with
CLEisfeasible
inno
rmalandtumor
colorectaltissueb
yusingflu
orescentlylabeledantib
odies
targeted
againstanendo
thelialmarker.Th
emetho
dcouldbe
transla
tedinto
thec
linical
setting
form
onito
ringof
antia
ngiogenic
therapy.
Coron
etal.
2012
[92]
France
USA
16patie
nts
13lesio
ns62
n/a
n/a
n/a
n/a
n/a
Standard
colonicb
iopsieso
btaineddu
ring
CLEretain
fluorescein,sho
wexcellent
delin
eatio
nof
mucosalstructures
with
out
additio
nalstaining,allowthee
valuationof
mucosalmicrovasculaturea
ndvascular
perm
eability,andares
uitablefor
immun
ostaining.
Kuiper
etal.
2012
[93]
Netherla
nds
64patie
nts
154lesio
ns59
n/a
57.1
n/a 71
n/a
n/a
n/a
n/a
n/a
66.7
Them
ajority
ofp-CL
Evideos
demon
strated
insufficientq
ualityin
morethanhalfof
the
timer
ecorded.Po
stho
caccuracyof
p-CL
Ewas
significantly
lower
incomparis
onwith
real-timea
ccuracyof
CLEandNBI.
Mascoloetal.
2012
[94]
Italy
22patie
nts
61.6
n/a
n/a
n/a
n/a
n/a
Byp-CL
E,itispo
ssibleto
identifyspecific
cryptarchitecturem
odificatio
nsassociated
with
changesincellu
larinfi
ltrationand
vesselsa
rchitecture,high
lightingag
ood
correspo
ndence
betweenp-CL
Efeatures
andhisto
logy.
Shahid
etal.
2012
[95]
USA
74patie
nts
154lesio
ns69
n/a 81
n/a
76n/a
78n/a
79n/a
79
Real-timea
ndoffl
ineinterpretations
ofp-CL
Eim
ages
arem
oderately
accurate.
Real-timeinterpretationisslightly
less
accuratethan
offlined
iagn
osis.
BioMed Research International 15
Table3:Con
tinued.
Author
and
year
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Shahid
etal.
2012
[96]
USA
65patie
nts
130lesio
ns69
n/a
86n/a
78n/a
n/a
n/a
n/a
n/a
82
p-CL
Edemon
stratedhigh
ersensitivityin
predictin
ghisto
logy
ofsm
allp
olyps
comparedwith
NBI,w
hereas
NBI
had
high
erspecificity.W
henused
incombinatio
n,thea
ccuracyof
pCLE
andNBI
was
extre
mely
high
,app
roaching
the
accuracy
ofhisto
patholog
y.
Shahid
etal.
2012
[97]
USA
,Netherla
nds
92patie
nts
129lesio
ns70
n/a
97n/a
77n/a 55
n/a
99n/a 81
Con
focalend
omicroscop
yincreasesthe
sensitivityford
etectin
gresid
ualn
eoplasia
after
colorectalEM
Rcomparedwith
endo
scop
yalon
e.In
combinatio
nwith
virtualchrom
oend
oscopy,the
accuracy
isextre
mely
high
,and
sensitivityapproaches
thatof
histo
patholog
y.
Góm
ezetal.
2013
[98]
USA
85patie
nts
127lesio
ns72
n/a
43.4
n/a
70.6
n/a
18.6
n/a
89n/a
n/a
Thea
ttempt
atcreatin
gcla
ssificatio
ncriteria
forp
robe-based
CLEdidno
tcon
sistently
distinguish
advanced
from
nonadvanced
adenom
asand,therefore,isno
tusefulin
applying
a“diagno
se,resect,anddiscard”
strategy.
Liuetal.2013
[99]
China
71patie
nts
166lesio
ns57.6
n/a
97.1
n/a
96.9
n/a
n/a
n/a
n/a
n/a
97.6
CLEhasthe
potentialtoenablean
immediatediagno
sisof
CRCandthed
egree
ofdifferentiatio
nof
CRCdu
ringon
going
endo
scop
yin
vivo.
Liuetal.2013
[100]
China
37patie
nts
37lesio
ns70
n/a
n/a
n/a
n/a
n/a
CLEcouldbe
used
inmolecular
imaging
with
specifictargetin
gof
EGFR
incolorectal
neop
lasia
.
16 BioMed Research International
Table3:Con
tinued.
Author
and
year
Cou
ntry
𝑁Meanageo
rrange
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Ciocâlteuet
al.2014[101]
Romania
5patie
nts
n/a
n/a
n/a
n/a
n/a
n/a
Differencesinvesselsm
orph
olog
ywith
CLE
areu
sefulfor
identifying
patie
ntsw
homight
benefit
from
neoadjuvantang
iogenetic
therapy.
Yuan
etal.
2014
[102]
China
39patie
nts
50lesio
ns52
n/a
79n/a
83n/a
n/a
n/a
n/a
n/a 81
Threed
ifferentcon
focallaser
endo
microscop
y(C
LE)d
iagn
ostic
syste
ms
inclu
ding
Maiz,Sand
uleanu
,and
Qilu
for
thep
redictionof
colorectalhyperplastic
polypor
adenom
ahavea
high
accuracy,
sensitivity,and
specificity.
Graftversus
HostD
isease
Bojarskietal.
2009
[103]
Germany
35patie
nts
n/a
74100
n/a
n/a
n/a
CLEprovides
rapiddiagno
sisof
acute
intestinalGVHDwith
high
accuracy
while
perfo
rmingendo
scop
y.Infectious
colitis
Neumannet
al.2013[104]
Germany
10patie
nts
72.5
88.9
97.2
8098.6
96.25
CLEhasthe
potentialfor
invivo
diagno
sisof
CDIa
ssociatedcolitis.
Inadditio
n,CL
Eallowed
thed
etectio
nof
intram
ucosal
bacteriain
vivo.
Irritablebo
welsynd
rome
Turcotteetal.
2013
[105]
Canada
34patie
nts
45.1
6289
8373
n/a
Asa
resultof
CLEanalysis,
IBSpatie
ntsh
ave
significantly
moree
pithelialgapsintheir
smallintestin
ecom
paredwith
healthy
controls,
which
may
beac
ause
ofaltered
intestinalperm
eabilityob
served
inIBS.
Fritscher-
Ravens
etal.
2014
[106]
Germany
USA UK
36patie
nts
44.6
n/a
n/a
n/a
n/a
n/a
Basedon
CLEanalysisof
IBSpatie
ntsw
itha
suspectedfood
intolerance,expo
sure
tocand
idatefoo
dantig
ensc
ausedim
mediate
breaks,increased
intervillou
sspaces,and
increasedIELs
intheintestin
almucosa.
CLEsta
ndsfor
confocallasere
ndom
icroscop
y;p-CL
E,prob
e-basedconfocallasere
ndom
icroscop
y;c-CL
E,colonprob
e-basedconfocallasere
ndom
icroscop
y;UC,
UlcerativeColitis;IBD,infl
ammatorybo
wel
disease;CD
,Crohn’sdisease;NBI,n
arrowbind
ingim
aging;GVHD,G
raftversus
HostD
isease;PP
V,po
sitivep
redictivev
alue;N
PV,n
egativep
redictivev
alue;and
BE,B
arrett’se
soph
agus.
BioMed Research International 17
0 0.2 0.4 0.6 0.8 1
Sensitivity
Pohl et al. 2008Bajbouj et al. 2010Trovato et al. 2013Canto et al. 2014
Sensitivity (95% CI)0.75 (0.19–0.99)0.61 (0.36–0.83)0.83 (0.36–1.00)0.95 (0.75–1.00)
Pooled sensitivity = 0.79 (0.65 to 0.90)𝜒2 = 7.22; df = 3 (p = 0.0651)Inconsistency (I2) = 58.5%
(a)
0 0.2 0.4 0.6 0.8 1
Specificity
Specificity (95% CI)Pohl et al. 2008Bajbouj et al. 2010Trovato et al. 2013Canto et al. 2014
0.58 (0.33–0.80)0.96 (0.86–1.00)0.95 (0.84–0.99)0.92 (0.83–0.97)
Pooled specificity = 0.90 (0.85 to 0.94)𝜒2 = 17.56; df = 3 (p = 0.0005)Inconsistency (I2) = 82.9%
(b)
0.01 1 100.0
Positive LR
Pohl et al. 2008Bajbouj et al. 2010Trovato et al. 2013Canto et al. 2014
Positive LR (95% CI)1.78 (0.82–3.86)14.97 (3.67–61.11)17.50 (4.32–70.90)11.72 (5.41–25.40)
Random effects modelPooled positive LR = 8.04 (2.28 to 28.30)
Inconsistency (I2) = 83.5%𝜏2 = 1.3351
18.18; df = 3 (p = 0.0004)Cochran-Q =
(c)
0.01 1 100.0
Negative LR
Pohl et al. 2008Bajbouj et al. 2010Trovato et al. 2013Canto et al. 2014
Negative LR (95% CI)0.43 (0.08–2.46)0.41 (0.23–0.73)0.18 (0.03–1.05)0.05 (0.01–0.37)
Random effects modelPooled negative LR = 0.24 (0.08 to 0.69)
Inconsistency (I2) = 55.4%𝜏2 = 0.6301
Cochran-Q = 6.73; df = 3 (p = 0.0809)
(d)
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
Sens
itivi
ty
0 0.2 0.4 0.6 0.8 1
1 − specificity
SROC curve
Symmetric SROCAUC = 0.9260SE(AUC) = 0.0576Q∗ = 0.8603SE(Q∗) = 0.0679
(e)
Figure 2: “Per patient” meta-analysis for CLE application in Barrett’s esophagus: (a) pooled sensitivity, (b) pooled specificity, (c) pooledpositive likelihood ratio (LR), (d) pooled negative LR, and (e) summary receiver operatic characteristic (SROC).
produced a pooled “per lesion” sensitivity of 83% (CI95%:
79%–87%; 𝐼2: 88.8%), a pooled specificity of 90% (CI95%:
87%–92%; 𝐼2: 94.8%), a pooled positive LR of 6.65 (CI95%:
2.8–15.8; 𝐼2: 90.3%), and a pooled negative LR of 0.17 (CI95%:
0.07–0.43; 𝐼2: 92%). The area under the curve was 0.9430(Figure 6).
CLE has also been widely applied to describe IBD mor-phologic features, although it was not possible to performa quantitative analysis of this application. In this particularindication, CLE appears to be a safe and feasible diagnostictool for imaging bowelmorphology, assessing disease activity,and predicting therapeutic responses.
3.5. Biliary Duct. In biliary tract and pancreatic cysts, routineforceps are not accurate for sampling and pathology examfails to address diagnosis. CLEwith in situ diagnosis might bea valuable alternative. However, few studies have been care-fully conducted.
CLE has been applied for the diagnosis of common biliaryduct lesions and to distinguish between benign and malig-nant strictures in patients with indeterminate biliary stenosis[2, 107–115] (Table 4). These applications were prospec-tively evaluated in several studies; of these, we performed ameta-analysis of 8 studies [107–109, 111–115], which resultedin a pooled sensitivity of 90% (CI
95%: 86%–94%; 𝐼2: 1.6%),
18 BioMed Research International
0 0.2 0.4 0.6 0.8 1
Sensitivity
Sensitivity (95% CI)Li et al. 2010Ji et al. 2011Li et al. 2011
0.78 (0.63–0.89)1.00 (0.48–1.00)0.89 (0.79–0.95)
Pooled sensitivity = 0.85 (0.78 to 0.91)𝜒2 = 4.19; df = 2 (p = 0.1231)Inconsistency (I2) = 52.3%
(a)
0 0.2 0.4 0.6 0.8 1
Specificity
Li et al. 2010Ji et al. 2011Li et al. 2011
0.90 (0.73–0.98)0.79 (0.54–0.94)0.99 (0.99–1.00)
Pooled specificity = 0.99 (0.98 to 0.99)𝜒2 = 28.02; df = 2 (p = 0.0000)Inconsistency (I2) = 92.9%
Specificity (95% CI)
(b)
0.01 1 100.0
Positive LR
Positive LR (95% CI)Li et al. 2010Ji et al. 2011Li et al. 2011
7.78 (2.63–23.01)4.07 (1.74–9.52)
133.33 (71.50–248.63)
Random effects model
Cochran-Q = 50.01; df = 2 (p = 0.0000)Inconsistency (I2) = 96.0%𝜏2 = 4.3302
Pooled positive LR = 16.49 (1.48 to 183.19)
(c)
0.01 1 100.0
Negative LR
Negative LR (95% CI)Li et al. 2010Ji et al. 2011Li et al. 2011
0.25 (0.14–0.43)0.11 (0.01–1.54)0.11 (0.06–0.21)
Random effects modelPooled negative LR = 0.16 (0.08 to 0.35)Cochran-Q = 4.70; df = 2 (p = 0.0955)Inconsistency (I2) = 57.4%𝜏2 = 0.2413
(d)
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
Sens
itivi
ty
0 0.2 0.4 0.6 0.8 1
1 − specificity
SROC curveSymmetric SROCAUC = 0.9296SE(AUC) = 0.0606Q∗ = 0.8647SE(Q∗) = 0.0727
(e)
Figure 3: “Per patient” meta-analysis for the application of CLE in detection and diagnosis of neoplastic lesions in the stomach: (a) pooledsensitivity, (b) pooled specificity, (c) pooled positive likelihood ratio (LR), (d) pooled negative LR, and (e) summary receiver operaticcharacteristic (SROC) curve.
a pooled specificity of 72% (CI95%: 65%–79%; 𝐼
2: 0%), apooled positive LR of 3.21 (CI
95%: 2.55–4.11; 𝐼2: 0%), and a
pooled negative LR of 0.15 (CI95%: 0.10–0.23; 𝐼
2: 0%).The areaunder the curve was 0.8578 (Figure 7).
3.6. Pancreas. Currently, in humans, the use of nCLE is exclu-sively applied to pancreatic tissue. The literature concerningthis technique includes a small number of studies that exam-ined the characterization of pancreatic lesions, such as pan-creatic cystic neoplasms [14, 15, 117], indeterminate pancreaticduct strictures [116], and serous cystadenomas [118] (Table 5).A meta-analysis of two studies [14, 117] that applied nCLE for
the diagnosis of pancreatic cyst neoplasms produced a pooledsensitivity of 68% (CI
95%: 55%–80%; 𝐼2: 79.8%), a pooled
specificity of 90% (CI95%: 74%–98%; 𝐼
2: 82.4%), a pooledpositive LR of 6.72 (CI
95%: 0.94–47.89; 𝐼2: 52%), and a pooled
negative LR of 0.30 (CI95%: 0.10–0.84; 𝐼
2: 60.6%) (Figure S3).
3.7. Study Quality Assessment. Based on the GRADE system,the overall quality of the evidence included in our analysiswas judged as low (10 studies had a very low level of quality; 59were low; 31 were moderate; and 2 were high).The risk of biasin the comparative randomized and nonrandomized studieswas evaluated by two independent reviewers (Alessandro
BioMed Research International 19
0 0.2 0.4 0.6 0.8 1
Sensitivity
Sensitivity (95% CI)Guo et al. 2008Ji et al. 2011Lim et al. 2013Pittayanon et al. 2013Li et al. 2014Liu et al. 2014
0.98 (0.95–1.00)0.86 (0.68–0.96)0.91 (0.81–0.97)0.96 (0.86–1.00)0.93 (0.87–0.97)0.91 (0.81–0.97)
Pooled sensitivity = 0.94 (0.92 to 0.96)𝜒2 = 11.07; df = 5 (p = 0.0500)Inconsistency (I2) = 54.8%
(a)
0 0.2 0.4 0.6 0.8 1
Specificity
Specificity (95% CI)Guo et al. 2008Ji et al. 2011Lim et al. 2013Pittayanon et al. 2013Li et al. 2014Liu et al. 2014
0.95 (0.89–0.98)0.97 (0.93–0.99)0.85 (0.73–0.93)0.94 (0.86–0.98)0.97 (0.88–1.00)0.97 (0.89–1.00)
Pooled specificity = 0.95 (0.92 to 0.97)𝜒2 = 11.25; df = 5 (p = 0.0466)Inconsistency (I2) = 55.6%
(b)
0.01 1 100.0
Positive LR
Positive LR (95% CI)Guo et al. 2008Ji et al. 2011Lim et al. 2013Pittayanon et al. 2013Li et al. 2014Liu et al. 2014
21.00 (8.92–49.43)33.33 (10.81–102.81)
17.03 (6.56–44.19)27.41 (7.01–107.14)28.74 (7.33–112.65)
Random effects modelPooled positive LR = 17.66 (9.04 to 34.51)Cochran-Q = 13.83; df = 5 (p = 0.0167)Inconsistency (I2) = 63.8%𝜏2 = 0.4262
5.96 (3.25–10.93)
(c)
0.01 1 100.0
Negative LR
Negative LR (95% CI)Guo et al. 2008Ji et al. 2011Lim et al. 2013Pittayanon et al. 2013Li et al. 2014Liu et al. 2014
0.02 (0.01–0.06)0.14 (0.06–0.35)0.11 (0.05–0.23)0.04 (0.01–0.17)0.07 (0.04–0.14)0.09 (0.04–0.21)
Random effects modelPooled negative LR = 0.07 (0.04 to 0.12)Cochran-Q = 9.50; df = 5 (p = 0.0906)Inconsistency (I2) = 47.4%𝜏2 = 0.1852
(d)
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
Sens
itivi
ty
0 0.2 0.4 0.6 0.8 1
1 − specificity
SROC curveSymmetric SROCAUC = 0.9832SE(AUC) = 0.0069Q∗ = 0.9435
SE(Q∗) = 0.0138
(e)
Figure 4: “Per biopsy”meta-analysis for the application of CLE in gastritis and gastricmetaplasia: (a) pooled sensitivity, (b) pooled specificity,(c) pooled positive likelihood ratio (LR), (d) pooled negative LR, and (e) summary receiver operatic characteristic (SROC) curve.
Fugazza, Federica Gaiani) based on Cochrane and NOS cri-teria. Specifically, two RCTs [55, 77] were classified as havinga low risk of bias, and 6 RCTs had a high risk of bias [22, 25,27, 28, 31, 54] (Table S2). Based onNOS criteria, 5 studies [29,52, 62, 70, 74] were classified as having a low risk of bias, and17 [36, 39, 48, 59–61, 63, 66–69, 71, 72, 78, 94, 106, 112] had ahigh risk of bias (Table S3).
4. Discussion
To the best of our knowledge, this is the first systematic reviewto analyze the diagnostic accuracy of CLE across all of theapplications for which it has been used.
A crucial differencebetweenCLE andalternative endosco-pic techniques is that CLE does not merely identify a lesion,
20 BioMed Research International
Kiesslich et al. 2007Hlavaty et al. 2011van den Broek et al. 2011Rispo et al. 2012
0.95 (0.74–1.00)0.00 (0.00–0.60)0.50 (0.01–0.99)1.00 (0.48–1.00)
Pooled sensitivity = 0.80 (0.61 to 0.92)𝜒2 = 19.42; df = 3 (p = 0.0002)Inconsistency (I2) = 84.5%
0 0.2 0.4 0.6 0.8 1
Sensitivity
Sensitivity (95% CI)
(a)
Kiesslich et al. 2007Hlavaty et al. 2011van den Broek et al. 2011Rispo et al. 2012
0.98 (0.94–1.00)0.98 (0.92–1.00)0.82 (0.73–0.90)0.89 (0.52–1.00)
Pooled specificity = 0.93 (0.89 to 0.96)𝜒2 = 21.94; df = 3 (p = 0.0001)Inconsistency (I2) = 86.3%
0 0.2 0.4 0.6 0.8 1
Specificity
Specificity (95% CI)
(b)
Kiesslich et al. 2007Hlavaty et al. 2011van den Broek et al. 2011Rispo et al. 2012
54.47 (13.72–216.07)4.33 (0.20–93.22)2.83 (0.66–12.20)6.11 (1.37–27.25)
Random effects modelPooled positive LR = 8.76 (1.78 to 43.23)Cochran-Q = 10.61; df = 3 (p = 0.0141)Inconsistency (I2) = 71.7%𝜏2 = 1.8135
0.01 1 100.0
Positive LR
Positive LR (95% CI)
(c)
Kiesslich et al. 2007Hlavaty et al. 2011van den Broek et al. 2011Rispo et al. 2012
0.05 (0.01–0.36)0.92 (0.69–1.24)0.61 (0.15–2.44)0.10 (0.01–1.41)
Random effects modelPooled negative LR = 0.25 (0.01 to 7.44)Cochran-Q = 79.98; df = 3 (p = 0.0000)Inconsistency (I2) = 96.2%𝜏2 = 11.3358
0.01 1 100.0
Negative LR
Negative LR (95% CI)
(d)
Symmetric SROCAUC = 0.9630SE(AUC) = 0.0512Q∗ = 0.9090SE(Q∗) = 0.0768
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
Sens
itivi
ty
0 0.2 0.4 0.6 0.8 1
1 − specificity
SROC curve
(e)
Figure 5: “Per lesion” meta-analysis for the application of CLE in the detection of dysplasia and neoplasia in inflammatory bowel diseasepatients: (a) pooled sensitivity, (b) pooled specificity, (c) pooled positive likelihood ratio (LR), (d) pooled negative LR, and (e) summaryreceiver operatic characteristic (SROC) curve.
but it also enables the discrimination of benign or malignantfeatures via direct and immediate microscopic investigation,which can be performed simultaneously with endoscopicexamination [119]. Despite this, CLE is still viewed as anexpensive tool that requires standardized criteria for the diag-nosis of select pathologies and needs specific training tointerpret CLE images before it can be implemented as a rou-tine diagnostic tool.
4.1. CLE in the Esophagus. Several studies have validatedthe diagnostic and therapeutic role of CLE with respect topremalignant lesions and cancers of the upper GI tract. In
a feasibility study, the use of pCLE demonstrated an up to92% accuracy rate in detecting malignant and premalignantmodifications of GI mucosa compared to conventional histo-pathology [120]. However, the primary application of CLE inesophageal tissue has been for the detection of high-gradedysplasia and cost-effective treatment strategies of BE. Inparticular, CLE has been used for follow-up of BE patientspresenting with HG dysplasia and to define the lateral extentof neoplasias prior to therapy.
It has been demonstrated that when using endomicros-copy for the surveillance of BE, the number of required biop-sies can be significantly decreased by up to 87% [22], as this
BioMed Research International 21
Table4:Summaryof
thes
tudies
evaluatin
gCL
Ein
biliary
diseases
creening
anddiagno
sis(all“per
patie
nt”a
nalysis
).
Author
and
year
Cou
ntry
𝑁Meanage(yr)
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Meining
etal.
2008
[107]
Germany
14patie
nts
61.3
8388
//
86p-CL
Econsiderablyincreasessensitivity
forthe
detectionof
biliary
neop
lasia
andtherefore
representsap
romising
diagno
sticapproach.
Giovann
iniet
al.2011[108]
France
37patie
nts
62.3
8375
n/a
n/a
86IntrabiliarypC
LEisfeasible.
Meining
etal.
2011[109]
Germany
USA
89patie
nts
62.8
9867
7197
81
p-CL
Eprovides
reliablem
icroscop
icexam
ination
andhase
xcellent
sensitivityandNPV
with
significantly
high
eraccuracy
ofER
CPandpC
LEcomparedwith
ERCP
with
tissuea
cquisition.
Meining
etal.
2012
[110]
Germany
USA
47and42
patie
nts
63.2 63
9733
8080
n/a
TheM
iamiC
lassificatio
nenablesa
structured,
unifo
rm,and
reprod
ucibledescrip
tionof
pancreaticob
iliarypC
LE.
Shiehetal.
2012
[2]
USA
10patie
nts
56.9
n/a
n/a
n/a
n/a
n/a
pCLE
oftheC
BDviathe
Gastro
Flex
UHD
miniprobe
isfeasibleandmay
offer
improved
imageq
ualityover
thes
tand
ardCh
olangioF
lex
prob
e.
Cailloletal.
2013
[111]
France
USA
60patie
nts
62.2
96.3
75.7
76.5
96.2
85Th
eParisClassifi
catio
nim
provethe
accuracy
ofpC
LEford
iagn
osingbenign
inflammatory
stric
tures.
Cailloletal.
2013
[112]
France
54patie
nts
6688
83n/a
n/a
87Inflammationfro
mprestentingprocedures
interfe
resw
ithpC
LEdiagno
sisof
theb
iledu
ctlesio
ns.
Heifetal.
2013
[113]
USA
15patie
nts
54100
61.1
22.2
100
n/a
pCLE
may
have
ahighsensitivityandnegativ
epredictiv
evalue
toexclu
deneop
lasia
inpatie
nts
with
PSCandDS.
Cailloletal.
2015
[114]
France
61patie
nts
6788
7992
6985
Thea
ddition
ofap
CLEprocedureinthe
diagno
stichisto
logice
xaminationof
abiliary
stric
ture
perm
itsas
ignificantincreasein
diagno
sticreliabilityandallowsfor
aVPN
of100%
.
Slivka
etal.
2015
[115]
USA Italy
France
112patie
nts
64.5
8971
9382
88pC
LEprovided
amorea
ccuratea
ndsensitive
diagno
sisof
cholangiocarcino
mac
omparedwith
tissues
amplingalon
e.𝑁
stands
forthe
numbero
fpatientse
nrolledin
thes
tudy
;pCL
E,prob
e-basedconfocallasere
ndom
icroscop
y;CL
E,confocallasere
ndom
icroscop
y;PP
V,po
sitivep
redictivev
alue;N
PV,n
egativep
redictivev
alue;
PSC,
prim
arysclerosin
gcholangitis;D
S,do
minantb
iliarystr
icture;and
CBD,com
mon
biledu
ct.
22 BioMed Research International
Table5:Summaryof
thes
tudies
evaluatin
gCL
Ein
pancreaticdiseases
creening
anddiagno
sis(all“per
patie
nt”a
nalysis
).
Authorsa
ndyear
Cou
ntry
𝑁Meanage(yr)
Sensitivity
(%)
Specificity
(%)
PPV
(%)
NPV (%)
Accuracy
(%)
Mainfin
ding
s
Kond
aetal.2011
[15]
USA
18patie
nts
57.9
n/a
n/a
n/a
n/a
n/a
nCLE
isthep
ancreasistechn
icallyfeasible.
Kond
aetal.
2013
[14]
USA
Germany
France
66patie
nts
63.1
59100
100
5071
nCLE
hasa
high
specificityin
thed
etectio
nof
PCNbu
titm
aybe
limitedby
alow
sensitivity.
Kahaleh
etal.
2015
[116]
USA
France
18patie
nts
58.3
n/a
n/a
n/a
n/a
94CL
Eiseffectiv
einassistin
gwith
diagno
sisof
indeterm
inatep
ancreatic
ductstr
icturesp
riorto
surgery.
Nakaietal.2015
[117]
USA
30patie
nts
7287
77100
100
77Th
ecom
binatio
nof
cysto
scop
yandnC
LEof
pancreaticcysts
appearstohave
stron
gconcordancew
iththec
linicaldiagno
sisof
PCN.
Napoléonetal.
2015
[118]
France
31patie
nts
5769
100
100
8287
Then
ewlydevelopednC
LEcriterio
nseem
stobe
high
lyspecificfor
thed
iagn
osisof
serous
cystadenom
a.𝑁
stands
forthe
numbero
fpatientse
nrolledin
thes
tudy
;nCL
E,needle-based
confocallasere
ndom
icroscop
y;CL
E,confocallasere
ndom
icroscop
y;PP
V,po
sitivep
redictivev
alue;N
PV,negativep
redictivev
alue;
andPC
N,pancreatic
cysticn
eoplasms.
BioMed Research International 23
0 0.2 0.4 0.6 0.8 1
Sensitivity
Sensitivity (95% CI)Kiesslich et al. 2004
Gomez et al. 2010Shahid et al. 2012aShahid et al. 2012bGomez et al. 2013Liu et al. 2013
Pooled sensitivity = 0.83 (0.79 to 0.87)𝜒2 = 53.66; df = 6 (p = 0.0000)Inconsistency (I2) = 88.8%
0.97 (0.86–1.00)1.00 (0.84–1.00)0.76 (0.62–0.87)0.71 (0.60–0.81)0.86 (0.75–0.94)0.41 (0.18–0.67)0.97 (0.90–1.00)
De Palma et al. 2010
(a)
0 0.2 0.4 0.6 0.8 1
Specificity
Specificity (95% CI)Kiesslich et al. 2004
Gomez et al. 2010Shahid et al. 2012aShahid et al. 2012bGomez et al. 2013Liu et al. 2013
0.99 (0.98–1.00)0.82 (0.48–0.98)0.72 (0.51–0.88)0.82 (0.72–0.90)0.78 (0.66–0.87)0.71 (0.61–0.79)0.97 (0.91–0.99)
Pooled specificity = 0.90 (0.87 to 0.92)𝜒2 = 116.49; df = 6 (p = 0.0000)Inconsistency (I2) = 94.8%
De Palma et al. 2010
(b)
0.01 1 100.0
Positive LR
Positive LR (95% CI)Kiesslich et al. 2004De Palma et al. 2010Gomez et al. 2010Shahid et al. 2012aShahid et al. 2012bGomez et al. 2013Liu et al. 2013
171.37 (42.99–683.19)4.69 (1.55–14.16)2.71 (1.42–5.19)4.06 (2.43–6.77)3.88 (2.49–6.05)1.42 (0.75–2.68)
31.40 (10.30–95.72)
Random effects modelPooled positive LR = 6.65 (2.80 to 15.80)Cochran-Q = 62.13; df = 6 (p = 0.0000)Inconsistency (I2) = 90.3%𝜏2 = 1.1705
(c)
0.01 1 100.0
Negative LR
Negative LR (95% CI)Kiesslich et al. 2004
Gomez et al. 2010Shahid et al. 2012aShahid et al. 2012bGomez et al. 2013Liu et al. 2013
0.03 (0.00–0.18)0.03 (0.00–0.45)0.33 (0.19–0.58)0.35 (0.24–0.50)0.18 (0.09–0.34)0.83 (0.55–1.26)0.03 (0.01–0.12)
Random effects modelPooled negative LR = 0.17 (0.07 to 0.43)Cochran-Q = 75.24; df = 6 (p = 0.0000)Inconsistency (I2) = 92.0%𝜏2 = 1.2352
De Palma et al. 2010
(d)
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
Sens
itivi
ty
0 0.2 0.4 0.6 0.8 1
1 − specificity
SROC curveSymmetric SROCAUC = 0.9430SE(AUC) = 0.0487Q∗ = 0.8812SE(Q∗) = 0.0628
(e)
Figure 6: “Per lesion” meta-analysis for the application of CLE in colorectal neoplasms and malignant foci in polypoid lesions: (a) pooledsensitivity, (b) pooled specificity, (c) pooled positive likelihood ratio (LR), (d) pooled negative LR, and (e) summary receiver operaticcharacteristic (SROC) curve.
technique produces a higher diagnostic yield for the detectionof neoplasia compared to randombiopsy.This improved yielddirectly results from the need to sample only the suspiciousareas that have been identified byCLE [22, 31]. However, whatthe optimal surveillance biopsy procedure is in BE patientsremains unclear. Current surveillance programs, such as the
four-quadrant Seattle biopsy protocol, are relatively expen-sive and time-consuming [29]. The Preservation and Incor-poration of Valuable Endoscopic Innovation (PIVI) initiativethat was recently implemented by the American Societyof Gastrointestinal Endoscopy (ASGE) [121] recommendsthat, before replacing the current Seattle protocol, a targeted
24 BioMed Research International
Meining et al. 2008Meining et al. 2011Giovannini et al. 2011Caillol et al. 2013aCaillol et al. 2013bHeif et al. 2013Caillol et al. 2014Slivka et al. 2015
0.83 (0.36–1.00)0.98 (0.87–1.00)0.83 (0.61–0.95)0.96 (0.81–1.00)0.88 (0.72–0.97)1.00 (0.03–1.00)0.88 (0.74–0.96)0.89 (0.79–0.95)
Pooled sensitivity = 0.90 (0.86 to 0.94)𝜒2 = 7.12; df = 7 (p = 0.4168)Inconsistency (I2) = 1.6%
0 0.2 0.4 0.6 0.8 1
Sensitivity
Sensitivity (95% CI)
(a)
Meining et al. 2008Meining et al. 2011Giovannini et al. 2011Caillol et al. 2013aCaillol et al. 2013bHeif et al. 2013Caillol et al. 2014Slivka et al. 2015
0.88 (0.47–1.00)0.67 (0.52–0.80)0.71 (0.29–0.96)0.76 (0.58–0.89)0.83 (0.36–1.00)0.64 (0.35–0.87)0.79 (0.49–0.95)0.71 (0.54–0.84)
Pooled specificity = 0.72 (0.65 to 0.79)𝜒2 = 3.03; df = 7 (p = 0.8820)Inconsistency (I2) = 0.0%
0 0.2 0.4 0.6 0.8 1
Specificity
Specificity (95% CI)
(b)
Meining et al. 2008Meining et al. 2011Giovannini et al. 2011Caillol et al. 2013aCaillol et al. 2013bHeif et al. 2013Caillol et al. 2014Slivka et al. 2015
6.67 (1.03–43.17)2.99 (1.99–4.48)2.89 (0.88–9.47)
5.27 (0.88–31.70)2.05 (0.72–5.79)4.10 (1.49–11.24)3.03 (1.87–4.91)
Random effects modelPooled positive LR = 3.21 (2.51 to 4.11)Cochran-Q = 2.64; df = 7 (p = 0.9158)Inconsistency (I2) = 0.0%𝜏2 = 0.0000
0.01 1 100.0
Positive LR
Positive LR (95% CI)
3.97 (2.16–7.29)
(c)
Meining et al. 2008Meining et al. 2011Giovannini et al. 2011Caillol et al. 2013aCaillol et al. 2013bHeif et al. 2013Caillol et al. 2014Slivka et al. 2015
0.19 (0.03–1.16)0.04 (0.01–0.26)0.24 (0.09–0.67)0.05 (0.01–0.34)0.15 (0.05–0.39)0.39 (0.03–4.49)0.16 (0.07–0.37)0.16 (0.08–0.32)
Random effects modelPooled negative LR = 0.15 (0.10 to 0.23)Cochran-Q = 6.30; df = 7 (p = 0.5048)Inconsistency (I2) = 0.0%𝜏2 = 0.0000
0.01 1 100.0
Negative LR
Negative LR (95% CI)
(d)
Symmetric SROCAUC = 0.8576SE(AUC) = 0.0501Q∗ = 0.7884SE(Q∗) = 0.0481
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
Sens
itivi
ty
0 0.2 0.4 0.6 0.8 1
1 − specificity
SROC curve
(e)
Figure 7: “Per patient” meta-analysis for biliary duct application of CLE: (a) pooled sensitivity, (b) pooled specificity, (c) pooled positivelikelihood ratio (LR), (d) pooled ne