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Development of a novel animal model to differentiate radiation necrosis from tumor recurrence
Kumar, Sanath; Arbab, Ali S; Jain, Rajan; Kim, Jinkoo; deCarvalho, Ana C; Shankar, Adarsh; Mikkelsen, Tom; Brown, Stephen L
Distinguishing tumor progression from radiation necrosis after treatment in patients with brain tumors presents a clinical dilemma. A well-characterized, orthotopic rodent model of radiation-induced brain necrosis including a tumor is not currently available The objective of the study was to create focal radiation necrosis in rat brain bearing human glioblastoma (GBM) using stereotactic radiosurgery and confirm it by immuno-histological analysis. Nude rats implanted with primary GBM cells were irradiated using a stereotactic setup (n = 3) or received no radiation (n = 3). Ten weeks after the implantation, growth of the tumor was confirmed by magnetic resonance imaging (MRI). For each animal, MRI and contrast-enhanced CT images were obtained and fused using registration software. The tumor was identified and delineated using the fused CT/MR images. A treatment plan was generated using a 4 mm radiosurgery cone such that one portion of the tumor receives 100% dose of 60 Gy sufficient to cause necrosis, whereas the tumor edge at depth receives only 50% or less dose, allowing for regrowth of the tumor. The brains were collected 10 weeks after irradiation and immuno-histological analysis was performed. Hematoxylin and eosin staining showed central liquefaction necrosis in the high dose region consistent with necrosis and viable tumor in the peripheral low dose region. Ki-67 staining showed highly proliferative tumor cells surrounding the necrotic parts of the tumor. Luxol fast blue and lectin staining showed demyelination and vascular injury in brain tissue consistent with radiation necrosis. We have developed a novel model of radiation necrosis in rats bearing glioma.
PMCID:3369018
PMID: 22407176
ISSN: 0167-594x
CID: 455732
Model selection for DCE-T1 studies in glioblastoma
Bagher-Ebadian, Hassan; Jain, Rajan; Nejad-Davarani, Siamak P; Mikkelsen, Tom; Lu, Mei; Jiang, Quan; Scarpace, Lisa; Arbab, Ali S; Narang, Jayant; Soltanian-Zadeh, Hamid; Paudyal, Ramesh; Ewing, James R
Dynamic contrast enhanced T(1)-weighted MRI using the contrast agent gadopentetate dimeglumine (Gd-DTPA) was performed on 10 patients with glioblastoma. Nested models with as many as three parameters were used to estimate plasma volume or plasma volume and forward vascular transfer constant (K(trans)) and the reverse vascular transfer constant (k(ep)). These constituted models 1, 2, and 3, respectively. Model 1 predominated in normal nonleaky brain tissue, showing little or no leakage of contrast agent. Model 3 predominated in regions associated with aggressive portions of the tumor, and model 2 bordered model 3 regions, showing leakage at reduced rates. In the patient sample, v(p) was about four times that of white matter in the enhancing part of the tumor. K(trans) varied by a factor of 10 between the model 2 (1.9 <--> 10(-3) min(-1)) and model 3 regions (1.9 <--> 10(-2) min(-1)). The mean calculated interstitial space (model 3) was 5.5%. In model 3 regions, excellent curve fits were obtained to summarize concentration-time data (mean R(2) = 0.99). We conclude that the three parameters of the standard model are sufficient to fit dynamic contrast enhanced T(1) data in glioblastoma under the conditions of the experiment.
PMCID:3292667
PMID: 22127934
ISSN: 0740-3194
CID: 455742
Apparent diffusion coefficient histogram analysis stratifies progression-free and overall survival in patients with recurrent GBM treated with bevacizumab: a multi-center study
Pope, Whitney B; Qiao, Xin Joe; Kim, Hyun J; Lai, Albert; Nghiemphu, Phioanh; Xue, Xi; Ellingson, Benjamin M; Schiff, David; Aregawi, Dawit; Cha, Soonmee; Puduvalli, Vinay K; Wu, Jing; Yung, Wai-Kwan A; Young, Geoffrey S; Vredenburgh, James; Barboriak, Dan; Abrey, Lauren E; Mikkelsen, Tom; Jain, Rajan; Paleologos, Nina A; Rn, Patricia Lada; Prados, Michael; Goldin, Jonathan; Wen, Patrick Y; Cloughesy, Timothy
We have tested the predictive value of apparent diffusion coefficient (ADC) histogram analysis in stratifying progression-free survival (PFS) and overall survival (OS) in bevacizumab-treated patients with recurrent glioblastoma multiforme (GBM) from the multi-center BRAIN study. Available MRI's from patients enrolled in the BRAIN study (n = 97) were examined by generating ADC histograms from areas of enhancing tumor on T1 weighted post-contrast images fitted to a two normal distribution mixture curve. ADC classifiers including the mean ADC from the lower curve (ADC-L) and the mean lower curve proportion (LCP) were tested for their ability to stratify PFS and OS by using Cox proportional hazard ratios and the Kaplan-Meier method with log-rank test. Mean ADC-L was 1,209 x 10(-6)mm(2)/s +/- 224 (SD), and mean LCP was 0.71 +/- 0.23 (SD). Low ADC-L was associated with worse outcome. The hazard ratios for 6-month PFS, overall PFS, and OS in patients with less versus greater than mean ADC-L were 3.1 (95 % confidence interval: 1.6, 6.1; P = 0.001), 2.3 (95 % CI: 1.3, 4.0; P = 0.002), and 2.4 (95 % CI: 1.4, 4.2; P = 0.002), respectively. In patients with ADC-L <1,209 and LCP >0.71 versus ADC-L >1,209 and LCP <0.71, there was a 2.28-fold reduction in the median time to progression, and a 1.42-fold decrease in the median OS. The predictive value of ADC histogram analysis, in which low ADC-L was associated with poor outcome, was confirmed in bevacizumab-treated patients with recurrent GBM in a post hoc analysis from the multi-center (BRAIN) study.
PMCID:3997502
PMID: 22426926
ISSN: 0167-594x
CID: 175855
Magnetic resonance estimation of longitudinal relaxation time (T1) in spoiled gradient echo using an adaptive neural network
Bagher-Ebadian, H; Jain, R; Khalighi, MM; Nejad-Davarani, SP; Paudyal, R; Narang, J; Quan, J; Mikkelsen, T; Ewing, JR
ORIGINAL:0008469
ISSN: 1045-9227
CID: 542322
Brain tumor angiogenesis and glioma grading: role of tumor blood volume and permeabgilitity estimates suing perfusion CT
Chapter by: Jain, Rajan
in: Tumors of the central nervous system by Hayat, M. A [Eds]
Dordrecht : Springer, 2011
pp. 81-91
ISBN: 9789400706170
CID: 542112
VALIDATION OF A GRADING SYSTEM FOR MALIGNANT EPIDURAL SPINAL CORD COMPRESSION [Meeting Abstract]
Ryu, Samuel; Rock, Jack; Jain, Rajan; Casas, Carlos; Schultz, Lonnie; Pace, Mitchel; Aho, Todd; Horio, Marion; Doshi, Prenav
ISI:000297026600496
ISSN: 1522-8517
CID: 542222
ROLE OF NON-MODEL-BASED SEMI-QUANTITATIVE INDICES OBTAINED FROM DCET1 MR PERFUSION IN DIFFERENTIATING PSEUDO-PROGRESSION FROM TRUE-PROGRESSION [Meeting Abstract]
Jain, Rajan; Narang, Jayant; Arbab, Ali Syed; Schultz, Lonni; Scarpace, Lisa; Mikkelsen, Tom; Babajni-Feremi, Abbas
ISI:000297026600551
ISSN: 1522-8517
CID: 542252
SURVIVAL PREDICTION USING MOLECULAR CLASSIFICATION OF GLIOBLASTOMAS: ROLE OF TUMOR BLOOD VOLUME ESTIMATION USING DSC T2*MR PERFUSION [Meeting Abstract]
Jain, Rajan; Poisson, Laila; Narang, Jayant; Scarpace, Lisa; Gutman, David; Jaffe, Carl; Saltz, Joel; Flanders, Adam; Daniel, Brat; Mikkelsen, Tom
ISI:000297026600552
ISSN: 1522-8517
CID: 542262
Perfusion CT imaging of brain tumors: an overview [Case Report]
Jain, R
Perfusion imaging of brain tumors has been performed by using various tracer and nontracer modalities and can provide additional physiologic and hemodynamic information, which is not available with routine morphologic imaging. Tumor vascular perfusion parameters obtained by using CT or MR perfusion have been used for tumor grading, prognosis, and treatment response in addition to differentiating treatment/radiation effects and non-neoplastic lesions from neoplasms. This article is an overview of the utility of PCT for assessment of brain tumors and describes the technique, its advantages, and limitations.
PMID: 21051510
ISSN: 0195-6108
CID: 541612
Morphologic magnetic resonance imaging features of therapy-induced cerebral necrosis
Rogers, L R; Gutierrez, J; Scarpace, L; Schultz, L; Ryu, S; Lord, B; Movsas, B; Honsowetz, J; Jain, R
To describe the morphologic magnetic resonance imaging (MRI) findings in histologically proven therapy-induced cerebral necrosis. We retrospectively reviewed the morphologic MRI findings in patients with therapy-induced cerebral necrosis. Images were reviewed for size, location, and characteristics of signal intensity abnormalities and T1-contrast enhancement. Images were also assessed for mass effect, necrosis, cyst, atrophy, cortical thinning, and leukoencephalopathy. The individual imaging characteristics were correlated with clinical and treatment variables. There were 44 patients. Seventy percent had a glioma, all patients had received radiation, and 57% had received chemotherapy in close proximity to radiation. All images demonstrated contrast enhancement, predominantly in the white matter. Enhancement was present in the periventricular/subependymal region in 50% of cases and the corpus callosum in 27%. The most common pattern of lesion peripheral enhancement was "spreading wavefront" and of interior enhancement was "Swiss cheese/soap bubble." The enhancing lesion was single in 60% of cases. Mass effect was present in 93% of patients. Location and patterns of enhancement were significantly associated with the interval from brain radiation to the diagnosis of therapy-induced cerebral necrosis, tumor histology, patient age, type of radiation, and administration of systemic chemotherapy. This is the largest study of the morphologic conventional MRI findings in pathologically confirmed therapy-induced cerebral necrosis. We characterized the imaging findings in a variety of tumor types following a variety of radiation treatments and other antineoplastic therapy. These findings may be of value in identifying therapy-induced cerebral necrosis in patients treated for a brain tumor.
PMID: 20490612
ISSN: 0167-594x
CID: 541572