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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)