No

1GradFr

Methoecho-ppost-conative white mspecimMRI fiused to

Resultpredictlinear: complep<.01).presencthese bpatient method

ConclugadolinCE, buAbnormstudy pvascula

RefereAckno

FigurespecimnCBVmicrov

Figurevasculcorrect

on-parametric

Emma Essoduate Group in Biorancisco, San Fran

Francisco, S

ods: 72 image-guidlanar imaging (flip

ontrast T1-weighteresolution. An avematter (NAWM)

men was graded onindings. A randomo determine if the b

s: Predicting Vascted the tissue vascnPH, and non-par

ex vasculature. Ev. Identifying Abnoce of abnormal va

blood volume meat with abnormal vad. usions: The bloodnium significantly ut non-linear and nmal (simple or comprovides histopathature features withences: [1] Paulson owledgements: NI

e 2. Factor VIII Imens with delicateV, non-linear: nPH,vascular hyperplas

e 1. Hemodynamiclature calculated ution (left) and non

and non-linea

ck-Burns1,2, Joannoengineering, UC ncisco, CA, UnitedSan Francisco, CA

ded tissue samplesp angle=35°, TE/Ted SPGR, T2-weigerage hemodynamfor normalization,

n an ordinal scale m-effects ordinal reblood volume mea

cular Morphologycular morphology rametric: nPH areven adjusted for Cormal Vasculatureasculature, while Csures was associatasculature in both

d volume measurepredicted the undnon-parametric anmplex) vasculaturhological support

hin the heterogeneoet al. (2008) Rad H Grant R01 CA1

IHC staining (top)e, simple, and co, and non-parametrsia.

c curve from a biosing non-linear ga

n-parametric analys

ar DSC-MRI p

na J. Phillips3,4, AnBerkeley/UC San

d States, 3NeurologA, United States, 5B

s were collected frTR=54–56/1250-1ghted FLAIR). A 5

mic curve was calcu, using both the n(delicate, simple,

egression model, adasure(s) from each

(delicate, simple,(non-linear: nCBV predictive of a gr

CE, these same CBe (simple or compCE was not (non-ted with approximthe CE and non-C

es from both the erlying vascular m

nalysis may assist re also existed bey

of the non-paramous GBM, which m249:2 [2] Weiskof

127612-01A1 and

) and correspondinomplex vasculaturric: nPH are signif

psy with complex mma-variate fit wsis (right).

post-processinwith trea

nnette M. MolinaroFrancisco, San Fr

gical Surgery, UC Bioengineering an

Intrvascsamis thypesuscyet glomlimivolufor aits uhas stratvascplannprocmicr

rom 35 patients ne500ms, slice thick5-mm diameter spulated from within

non-linear and noncomplex) using Fdjusted for contraspost-processing m

, or complex): AdjV p<.05, nPH p<.0reater degree of hBV estimates werelex): Non-linear: linear: nCBV p=.

mately a 2.2-fold grCE tissue, which is

non-linear and nmorphology determ

in guiding samplyond the CE-lesionmetric and non-limay assist in guidiff (1994) ISMRM NIH Grant P01 CA

ng ΔR2* curve (bre (a-c). Increasedficant risk factors f

ith leakage

ng methods pratment-naive Go3, Janine M. Luporancisco, CA, UniSan Francisco, Sad Therapeutic Scie

roduction: Tissuecularized human

mples for tumor grathe presence of erplasia, tortuousceptibility contrastthere are known

meruloid vasculattation and have be

ume (CBV) [1]. Noaddressing this limuse in the clinical pnot been extensivtegy-dependent Ccular features for dning. The goal oessing methods to

rovasculature in paewly diagnosed wkness=3-4 mm, maherical region at tn each specimen rn-parametric post-actor VIII immunst-enhancement (C

method significantl

justed for CE, non03; non-parametri

hyperplasia. Identife marginally signinCBV, non-linear03, nPH p<.03; nreater likelihood os correctly identifi

on-parametric anamined by Factor VIling toward compn and was accuratinear post-processing biopsy locationp 279, [3] Essock-A11816-01A2.

bottom) of 3 d non-linear: for increased

redict underlyGBM o2, Soonmee Cha2,3

ited States, 2Deparan Francisco, CA,ences, UC San Fra

e heterogeneity brain tumor, has

ading that accuratecomplex glomer

s lamina, and bt (DSC) MRI haslimitations near rture. Multiple een shown to greaon-linear gamma-v

mitation in the resepractice. Non-para

vely validated withCBV estimates wdiagnosis and charof this study was o determine whichatients with treatm

with GBM. Preoperatrix=128x128, 0.the specimen targeregion and an aver-processing methonohistochemical (ICE) at the target loly predicted vascu

n-linear: nCBV, nic: nPH p<.05). Fifying Complex Vificant predictors r nPH, and non-pa

non-parametric: nPof presence of abnied with the CBV

alysis of DSC daIII IHC analysis. Clex vasculature wtely identified by sing techniques an and identifying p-Burns et al. (2011

ying vascular h

3, Susan M. Changrtment of Radiolog United States, 4Dancisco, San Fran

of glioblastoma

s historically beeely represent the turuloid vasculaturbreakdown of ths been used to nonregions of contraspost-processing matly influence the variate fit with leaearch setting, yet nametric analysis ish histopathology.

will help guide bracterize vascular to compare non-li

h CBV estimate mment naive GBM.

rative 3T MR exa1mmol/kg Gd-DTet location was ovrage curve was caod [2-3] (see FiguHC) staining by a

ocation and repeateular morphology de

non-linear: nPH, anigure 2 illustrates asculature: As expof complex vascuarametric: nPH wePH p<.02; CE: p=normal vasculature

measures from bo

ata acquired with Complex vasculatu

when it is present both the non-lines noninvasive mepatients for targete1) Neuro-oncol 13

histopatholog

g3, and Sarah J. Negy and Biomedical

Department of Pathncisco, CA, United

(GBM), a highn a challenge foumor biology. Onere, characterized he blood brain ninvasively assess

st agent extravasatmethods exist foresultant estimate

akage correction isnecessitates curve-s less computationHistopathological biopsy selection burden for anti-aninear and non-parost accurately refl

ams included T2* TPA) and anatomicerlaid on the align

alculated within thure 1). Vascular man experienced pated specimen sampetermined by IHC

nd non-parametrichow greater non-lpected, CE was a ulature (CBV meaere each significan

=>.2). In general, ae. Figure 3 illustratoth the non-linear a

a 35° flip angle ure is far more likewithin the heterog

ear and non-paramethods for characed anti-angiogenic3:1

gy in patients

elson1,5 l Imaging, UC Sanhology, UC San d States

hly malignant anor selecting biopse hallmark of GBM

by microvasculabarrier. Dynami

s microvasculaturtion, common neaor addressing thes of cerebral bloos a common metho-fitting which liminally expensive, ye

validation of thestoward aggressiv

ngiogenic treatmenrametric DSC poslects the underlyin

DSC gradient-echc imaging (pre- anned DSC data at the normal appearin

morphology of eacthologist blinded t

ples per patient, waanalysis.

c: nPH significantllinear: nCBV, nonstrong predictor o

asures: p<=.09, CEnt predictors of tha 1-unit increase ites an example of and non-parametri

and single-dose oely to coincide witgeneous CE-lesion

metric analysis. Thcterizing aggressivc therapies.

Figure 3. a. T1w-CE MRI of a

patient with 2 biopsy targets (pink), from CE (left) and

non-CE (right)tissue.

b. Factor VIIIIHC staining

shows abnormal

vasculature in both

specimens, which is

identified by elevated non-

linear and non-parametric

CBV estimatesin c.

nd sy M ar ic e, ar is

od od ts et se ve nt t-

ng

ho nd he ng ch to as

ly n-of E: he in a

ic

of th n. is

ve

-

s

193Proc. Intl. Soc. Mag. Reson. Med. 20 (2012)