14
In-vivo Endoscopic tissue identification tool utilising Rapid Evaporative Ionization Mass Spectrometry (REIMS): the novel iEndoscope Abstract (maximum 1000 characters) Gastro-intestinal cancers are a leading cause of mortality, accounting for 23% of cancer-related deaths worldwide. In order to improve outcomes from these cancers, novel tissue characterisation methods are needed to facilitate accurate diagnosis. Rapid Evaporative Ionization Mass Spectrometry (REIMS) is a technique developed for the in-vivo classification of human tissue through mass spectrometric analysis of aerosols released during electrosurgical dissection. This ionization technique has been integrated with an endoscopic polypectomy snare allowing in-vivo analysis of the gastrointestinal tract. We have developed and optimised a REIMS endoscopic method, and tested its classification performance in-vivo. The novel intelligent endoscope (‘iEndoscope’) has been shown to be capable of differentiating between healthy layers of the intestinal wall, cancer and adenomatous polyps based on the REIMS fingerprint of each tissue type in-vivo. Main text Gastro-intestinal (GI) cancers account for 23% of cancer- related deaths globally [1] . Despite an increasing incidence, mortality from cancer has been decreasing over the last four decades [2] . However, it is estimated that a further 30-40% of

spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

Embed Size (px)

Citation preview

Page 1: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

In-vivo Endoscopic tissue identification tool utilising Rapid Evaporative Ionization Mass Spectrometry

(REIMS): the novel iEndoscope

Abstract (maximum 1000 characters)

Gastro-intestinal cancers are a leading cause of mortality, accounting for 23% of cancer-

related deaths worldwide. In order to improve outcomes from these cancers, novel tissue

characterisation methods are needed to facilitate accurate diagnosis. Rapid Evaporative

Ionization Mass Spectrometry (REIMS) is a technique developed for the in-vivo classification

of human tissue through mass spectrometric analysis of aerosols released during

electrosurgical dissection. This ionization technique has been integrated with an endoscopic

polypectomy snare allowing in-vivo analysis of the gastrointestinal tract. We have developed

and optimised a REIMS endoscopic method, and tested its classification performance in-vivo.

The novel intelligent endoscope (‘iEndoscope’) has been shown to be capable of

differentiating between healthy layers of the intestinal wall, cancer and adenomatous polyps

based on the REIMS fingerprint of each tissue type in-vivo.

Main text

Gastro-intestinal (GI) cancers account for 23% of cancer-related deaths globally[1]. Despite an

increasing incidence, mortality from cancer has been decreasing over the last four decades[2].

However, it is estimated that a further 30-40% of these deaths can be prevented through

improvements in disease diagnosis and institution of early treatment. Conventional white light

endoscopic investigation of the GI tract with tissue biopsy is the gold standard method for

diagnosis of GI cancers[3]. Early stage cancers and pre-malignant conditions can also be

successfully treated using electrocautery-based endoscopic techniques. However, it has been

reported that upper GI cancer may be missed at endoscopy in up to 7.8% of patients who are

subsequently diagnosed with cancer[4]. The major advantage of endoscopic intervention is that

patients avoid the need for major surgery if their lesions are completely excised. However, re-

intervention is necessary in up to 41% of patients due to incomplete excision [5]. Hence, there

remains a need to develop accurate, real time techniques to reduce misdiagnosis rates and

improve complete resection rates.

Page 2: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

Enhanced imaging techniques are being developed to improve diagnostic accuracy within the

GI tract with profound emphasis on spectroscopic characterization using elastic scattering

spectroscopy, optical coherence tomography or multimodal imaging combining Raman

spectroscopy, autofluorescence and narrow band imaging[6]. Mass spectrometry (MS)-based

identification of tissues have been reported using imaging techniques sampling

probe/electrospray systems and the direct ambient ionization MS investigation of tissues[7].

Rapid Evaporative Ionization MS (REIMS) has emerged from this latter group as the only

technology that allows in-situ, real-time analysis through utilization of electrosurgical tools as

MS ion sources. The REIMS fingerprint of human tissues shows high histological specificity

with 90-100% concordance with standard histology[8]. The aim of the current study was to

develop a real-time, robust endoscopic tissue characterisation tool based on REIMS

technology.

A commercially available endoscopic polypectomy snare was equipped with an additional T-

piece connector to establish a transfer line between the tissue evaporation point and the

atmospheric inlet of a mass spectrometer (Figure 1A). The challenges in developing a

REIMS-based endoscopic setup include the short signal capture window (1-2 seconds),

aspiration of aerosol from a closed cavity, potential exogenous contamination from the GI

tract and the need for a long sampling line (>4m) through the working channel of the

endoscope for ion transfer. To address these issues, the endoscopic setup was optimized and

reproducibility assessed using a porcine stomach model. Artificial polyps were created within

porcine stomach mucosa and resections were undertaken using a polypectomy snare (Figure

1B); this set-up allowed for an exact simulation of a standard endoscopic resection. Since the

polyp completely blocks the opening of the plastic sheath of the snare during resection

(Figure 1B), the resultant aerosol was aspirated through fenestrations created on the plastic

sheath. These aerosol particles were transferred to the mass spectrometer via PFTE tubing

connected to the irrigation port of the snare on the proximal end and directly to the inlet

capillary of the mass spectrometer on the distal (relative to the point of evaporation) end.

Aspiration of the aerosols was facilitated by using a Venturi pump driven by standard medical

air (REF). The modification of the MS instrument included the addition of a novel

atmospheric interface featuring a jet disruptor element positioned into the central axis of the

large opening of the Stepwave ion guide (supplementary figure 1). The jet disruptor surface

facilitates efficient fragmentation of molecular clusters formed in the free jet region of the

atmospheric interface due to the adiabatic expansion of gas entering the vacuum and the

Page 3: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

resulting drop in temperature. The surface-induced dissociation of supramolecular clusters

improves the signal intensity and also alleviates the problems associated with the

contamination of ion optics.

Figure 1. Endoscopic experimental setup. A) The polypectomy snare was equipped with an additional T-piece in order to establish direct connection between the electrode tip and the mass spectrometer for the transfer of electrosurgical aerosol. B) Resection of GI polyps using a commercial snare. The polyp is captured using the snare loop, which is was securely fastened around the base. Electrosurgical dissection is performed and the generated aerosols is aspirated through the fenestrations created on the plastic sheath of the snare.

REIMS spectra recorded from the porcine stomach model (supplementary figure 2) in the

Page 4: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

mass/charge range 600-1000 features predominantly phospholipids, which have been

observed for all mammalian tissue types in previous REIMS studies[8-9]. Initial experiments

included optimization of the snare tip geometry (number and position of fenestrations on the

plastic sheath) and an assessment of the repeatability of the analysis (see Supporting

Information).

Following optimization of the sampling geometry, the REIMS endoscopic setup was tested on

ex-vivo human samples including gastric adenocarcinoma, healthy gastric mucosa and healthy

gastric submucosa. These samples were acquired from 3 individual patients, all of whom

provided written, informed consent (please see Experimental section). Our previous studies

have demonstrated marked differences in the REIMS fingerprint of healthy mucosa and

cancers of the GI tract[8]; however this is the first time that healthy submucosa and GI polyps

have also been investigated.

Significant spectral differences were observed between healthy gastric mucosa, healthy

gastric submucosa and gastric cancer tissue. Spectra of healthy gastric mucosa (n=32) and

gastric adenocarcinoma (n=29) featured phospholipids in the range m/z 600-900; whilst the

gastric submucosa (n=10) featured intensive triglyceride (TG) and phosphatidyl-inositol (PI)

species in the m/z 850-1000 range (Figure 2A). The submucosa in the GI tract represents a

connective tissue layer containing arterioles, venules and lymphatic vessels; it is made up of

mostly collagenous and elastic fibers with varying amounts of adipose elements. It is

hypothesised that the PI and triglycerides species observed in the m/z 850-1000 mass range

are associated with the histological features present within the submucosa. An interesting

feature was observed regarding the abundance of phosphatidyl-ethanolamines (PE) and

corresponding plasmalogen species. While the PEs show higher abundance, the plasmalogens

are depleted in the tumour tissue, probably due to the impaired peroxisomal function of the

cancer cells. Figure 2B shows a number of selected peaks which are significantly different

between the healthy tissue layers and cancer tissue in the mass range 600-900. All peaks

between m/z 850 to 1000 show significant differences when comparing the gastric submucosa

to either adenocarcinoma or gastric mucosa.

The clear differences observed between the REIMS fingerprints of the submucosa and

mucosal layer could also be exploited as a potential safety function for interventional

endoscopy. Colonoscopic procedures involving electrocautery are associated with a 9x

increase in perforation risk compared to a purely diagnostic procedure[10]. It has also been

Page 5: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

reported that endomucosal resection (EMR) of ulcerated lesions are at higher risk of

perforation[11]. Using the described REIMS endoscopic method, it will be possible to

incorporate an alert feature in the system so that any diathermy devices are immediately

stopped if there is a breach of the submucosal layer during polypectomy or endomucosal

resection. Development of the REIMS technology for this purpose could potentially help in

decreasing perforation rates and the significant morbidity associated with this complication.

Page 6: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

Figure 2: A) Mass spectra of gastric mucosa, gastric submucosa and adenocarcinoma tissue

recorded using a modified Xevo G2-S Q-Tof mass spectrometer. Cancerous and healthy mucosa

tissue feature mainly phospholipids in the 600-900 m/z region, whilst submucosa features

triglyceride and phosphatidyl-inositol species in the 850-1000 m/z range. B) Comparison of the

abundance of selected peaks showing significant differences between cancerous and healthy

tissue in the 600-900 mass/charge range using Kruskal-Wallis ANOVA. All peaks above m/z 850

are significantly different when comparing submucosa to the other two tissue types.

Analysis of ex vivo human colonic adenocarcinoma (n=43) and healthy colonic mucosa

(n=45) acquired from 7 patients was conducted with a LTQ Velos mass spectrometer at the

University of Debrecen, Hungary. Adenomatous polyps (n=5) from 2 patients were also

sampled ex-vivo and the resulting REIMS data was analyzed using multivariate statistical

tools (Figure 3). In agreement with previously published REIMS studies, the spectra acquired

from healthy mucosa and adenocarcinoma of both the stomach and colon separate well in 3

dimensional PCA space (Figures 3A & 3B). The sampled adenomatous polyps also

demonstrate good separation from both healthy mucosa and malignant tissue from the colon

(Figure 3A).

Page 7: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

Figure 3: A) 3-dimensional PCA plot of healthy gastric mucosa (n=32), gastric submucosa

(n=10) and adenocarcinoma of the stomach (n=29) acquired from 3 patients ex-vivo with Xevo

G2-S Q-Tof mass spectrometer. The significant differences between submucosa and the other

two layers can potentially be used to develop a perforation risk alert system for interventional

endoscopy. B) 3-dimensional PCA plot of human colon adenocarcinoma (n=43) and healthy

colon mucosal data (n=45) acquired from 7 patients using a LTQ Velos mass spectrometer. The

adenomatous polyps (n=5) collected from 2 patients were sampled ex-vivo after their removal. A

significant difference can be observed in the PCA space between all three groups.

Following the proof of concept analysis of ex-vivo samples, the iEndoscope method was also

tested in-vivo on 3 consecutive patients referred for colonoscopy. Different regions of the

colon and rectum were sampled during the colonoscopy procedures. The first and third

patients had evidence of colonic polyps, which were confirmed to be benign. The second

patient had evidence of a normal colon with no macroscopically visible polyps. The mucosal

layer showed uniform spectral pattern independently from anatomical location; however

colonic polyps showed marked differences from the healthy mucosal layer (Figure 4), in

agreement with the observation of the ex-vivo studies (Figure 3B).15

Takáts Zoltán, 11/11/14,
Spectral differences? Grrrrrr….. I do know that the resolution was not sufficiently good to properly identify anything, but we hav to say something !
Sach Kumar, 12/12/14,
Julia – can we make a suitable comparison here?
Page 8: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

Figure 4: In-vivo utilization of the iEndoscope system. A) Sampling points taken from 3 patients

undergoing colonoscopy. B) Sampling points depicted on a 3-dimensional PCA plot. The spectra

acquired in-vivo when the polyps were removed localize in a different part of space, whilst all

other mucosal spectra are quasi uniformly independent from the sampling location.

The data presented in this report demonstrates the significant translational potential in

developing the REIMS technique as a real-time diagnostic tool in endoscopy. We have tested

the iEndoscope in both ex-vivo and in-vivo settings without the need for major modification

of standard, approved clinical equipment. We have optimized our method to account for the

short signal capture window that occurs with endoscopic resectional procedures and addressed

technical challenges including long ion transfer distances and potential aspiration of

gastric/intestinal content. The iEndoscope has successfully been shown to be capable of

differentiating between healthy mucosa, adenoma and GI cancer based on their individual

lipodomic spectral profiles. Furthermore, the significant differences demonstrated between

mucosal and submucosal layers of the GI tract indicate that REIMS can also be utilized to

avoid the damaging of healthy tissue during interventional endoscopy. REIMS technology has

also been demonstrated to be able to identify microorganisms[12], which raises the possibility

of developing an endoscopic in-situ bacterial community analysis tool using this platform.

The iEndoscope can be envisioned as a general screening tool in which the microscopic

characteristics of tissue could be evaluated intra-endoscopically allowing for real-time clinical

decision-making and potential benefits for patients.

Page 9: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

Experimental

A commercially available polypectomy snare (Olympus Model No. SD-210U-15. Working

length 2300mm, minimum channel size 2.8mm, opening diameter 15mm, wire thickness

0.47mm) was equipped with an additional T-piece in order to establish connection with a 1/8’

OD 2 mm PFTE tubing between the tissue evaporation point and the atmospheric inlet of a

mass spectrometer (Xevo G2-S Q-TOF, Waters, Manchester, UK, and LTQ Velos linear

iontrap mass spectrometer, Thermo Fisher Scientific ltd, Bremen, Germany). The snare was

used with a commercially available endoscope (Olympus Corporation, Tokyo, Japan) and

endoscopic stack, coupled with an electrosurgical generator (Valleylab Surgistat II, Covidien,

Mansfield, MA, USA). The endoscopic plume generated during the removal of polyps was

captured through the fenestrations of the snare and transferred to the mass spectrometer

through the snare tubing, via PFTE tubing coupled directly to the inlet capillary using the

internal vacuum of the mass spectrometer for plume capturing. High resolution mass

spectrometry was performed in negative ion mode between m/z 150-1500 range. Written,

informed consent was obtained from all patients who provided tissue samples. Ethical

approval was obtained from the Hungarian National Scientific Research Ethical Committee

(Ref number 182/PI/10) and the National Research Ethics Service, UK (Ref number:

11/LO/0686). The data analysis workflow for the separation of healthy, cancerous and

adenomatous polyps of the gastrointestinal tract include the construction of a tissue specific

spectral database followed by multivariate classification and spectral identification algorithms

as previously described[8-9].

Page 10: spiral.imperial.ac.uk  · Web viewspectroscopy, optical coherence tomography or multimodal imaging combining Raman spectroscopy, autofluorescence and narrow band …

References

[1] A. Jemal, F. Bray, M. M. Center, J. Ferlay, E. Ward, D. Forman, CA Cancer J Clin 2011, 61, 69-90.

[2] World Health Organization., The World Health Organization's fight against cancer : strategies that prevent, cure and care, World Health Organization, Geneva, 2007.

[3] C. J. Rees, P. T. Rajasekhar, M. D. Rutter, E. Dekker, Expert Rev Gastroenterol Hepatol 2014, 8, 29-47.

[4] G. Chadwick, O. Groene, J. Hoare, R. H. Hardwick, S. Riley, T. D. Crosby, G. B. Hanna, D. A. Cromwell, Endoscopy 2014, 46, 553-560.

[5] K. T. Kao, A. Q. Giap, M. A. Abbas, Arch Surg 2011, 146, 690-696.[6] aGastrointest Endosc 2013, 78, 568-573; bX. Qi, Y. Pan, M. V. Sivak, J. E. Willis, G.

Isenberg, A. M. Rollins, Biomed Opt Express 2010, 1, 825-847.[7] aC. H. Chen, Z. Lin, S. Garimella, L. Zheng, R. Shi, R. G. Cooks, Z. Ouyang, Anal

Chem 2013, 85, 11843-11850; bM. K. Mandal, K. Yoshimura, L. C. Chen, Z. Yu, T. Nakazawa, R. Katoh, H. Fujii, S. Takeda, H. Nonami, K. Hiraoka, J Am Soc Mass Spectrom 2012, 23, 2043-2047.

[8] J. Balog, L. Sasi-Szabo, J. Kinross, M. R. Lewis, L. J. Muirhead, K. Veselkov, R. Mirnezami, B. Dezso, L. Damjanovich, A. Darzi, J. K. Nicholson, Z. Takats, Sci Transl Med 2013, 5, 194ra193.

[9] J. Balog, T. Szaniszlo, K. C. Schaefer, J. Denes, A. Lopata, L. Godorhazy, D. Szalay, L. Balogh, L. Sasi-Szabo, M. Toth, Z. Takats, Anal Chem 2010, 82, 7343-7350.

[10] T. R. Levin, W. Zhao, C. Conell, L. C. Seeff, D. L. Manninen, J. A. Shapiro, J. Schulman, Ann Intern Med 2006, 145, 880-886.

[11] M. Fujishiro, O. Goto, N. Kakushima, S. Kodashima, Y. Muraki, M. Omata, Dig Liver Dis 2007, 39, 566-571.

[12] N. Strittmatter, M. Rebec, E. A. Jones, O. Golf, A. Abdolrasouli, J. Balog, V. Behrends, K. A. Veselkov, Z. Takats, Anal Chem 2014, 86, 6555-6562.