Try a new search

Format these results:

Searched for:

person:jainr04

in-biosketch:true

Total Results:

211


Multinodular and Vacuolating Neuronal Tumor-like Lesion of the Spinal Cord: Two Case Reports

Schollaert, Joris; Van der Planken, David; Mampaey, Sam; Breen, Matthew; Foo, Farng-Yang; Jain, Rajan; Van Goethem, Johan W M
We describe 2 cases of a spinal cord lesion with imaging features closely resembling those described in supratentorial multinodular and vacuolating neuronal tumor (MVNT) or infratentorial multinodular and vacuolating posterior fossa lesions of unknown significance. Multiple well-delineated nonenhancing T2-hyperintense intramedullary cystic ovoid nodules were visualized within the white matter of the spinal cord, including some immediately abutting the gray matter. No alterations in signal intensity or morphology were detected in a follow-up. Moreover, no relevant clinical symptoms attributable to the lesions were present. We describe these lesions as presumed MVNT, and we therefore use the term MVNT-like spinal cord lesions.
PMID: 38331962
ISSN: 1936-959x
CID: 5632462

Clinical Efficacy of ONC201 in H3K27M-Mutant Diffuse Midline Gliomas Is Driven by Disruption of Integrated Metabolic and Epigenetic Pathways

Venneti, Sriram; Kawakibi, Abed Rahman; Ji, Sunjong; Waszak, Sebastian M; Sweha, Stefan R; Mota, Mateus; Pun, Matthew; Deogharkar, Akash; Chung, Chan; Tarapore, Rohinton S; Ramage, Samuel; Chi, Andrew; Wen, Patrick Y; Arrillaga-Romany, Isabel; Batchelor, Tracy T; Butowski, Nicholas A; Sumrall, Ashley; Shonka, Nicole; Harrison, Rebecca A; de Groot, John; Mehta, Minesh; Hall, Matthew D; Daghistani, Doured; Cloughesy, Timothy F; Ellingson, Benjamin M; Beccaria, Kevin; Varlet, Pascale; Kim, Michelle M; Umemura, Yoshie; Garton, Hugh; Franson, Andrea; Schwartz, Jonathan; Jain, Rajan; Kachman, Maureen; Baum, Heidi; Burant, Charles F; Mottl, Sophie L; Cartaxo, Rodrigo T; John, Vishal; Messinger, Dana; Qin, Tingting; Peterson, Erik; Sajjakulnukit, Peter; Ravi, Karthik; Waugh, Alyssa; Walling, Dustin; Ding, Yujie; Xia, Ziyun; Schwendeman, Anna; Hawes, Debra; Yang, Fusheng; Judkins, Alexander R; Wahl, Daniel; Lyssiotis, Costas A; de la Nava, Daniel; Alonso, Marta M; Eze, Augustine; Spitzer, Jasper; Schmidt, Susanne V; Duchatel, Ryan J; Dun, Matthew D; Cain, Jason E; Jiang, Li; Stopka, Sylwia A; Baquer, Gerard; Regan, Michael S; Filbin, Mariella G; Agar, Nathalie Y R; Zhao, Lili; Kumar-Sinha, Chandan; Mody, Rajen; Chinnaiyan, Arul; Kurokawa, Ryo; Pratt, Drew; Yadav, Viveka N; Grill, Jacques; Kline, Cassie; Mueller, Sabine; Resnick, Adam; Nazarian, Javad; Allen, Joshua E; Odia, Yazmin; Gardner, Sharon L; Koschmann, Carl
UNLABELLED:Patients with H3K27M-mutant diffuse midline glioma (DMG) have no proven effective therapies. ONC201 has recently demonstrated efficacy in these patients, but the mechanism behind this finding remains unknown. We assessed clinical outcomes, tumor sequencing, and tissue/cerebrospinal fluid (CSF) correlate samples from patients treated in two completed multisite clinical studies. Patients treated with ONC201 following initial radiation but prior to recurrence demonstrated a median overall survival of 21.7 months, whereas those treated after recurrence had a median overall survival of 9.3 months. Radiographic response was associated with increased expression of key tricarboxylic acid cycle-related genes in baseline tumor sequencing. ONC201 treatment increased 2-hydroxyglutarate levels in cultured H3K27M-DMG cells and patient CSF samples. This corresponded with increases in repressive H3K27me3 in vitro and in human tumors accompanied by epigenetic downregulation of cell cycle regulation and neuroglial differentiation genes. Overall, ONC201 demonstrates efficacy in H3K27M-DMG by disrupting integrated metabolic and epigenetic pathways and reversing pathognomonic H3K27me3 reduction. SIGNIFICANCE:The clinical, radiographic, and molecular analyses included in this study demonstrate the efficacy of ONC201 in H3K27M-mutant DMG and support ONC201 as the first monotherapy to improve outcomes in H3K27M-mutant DMG beyond radiation. Mechanistically, ONC201 disrupts integrated metabolic and epigenetic pathways and reverses pathognomonic H3K27me3 reduction. This article is featured in Selected Articles from This Issue, p. 2293.
PMCID:10618742
PMID: 37584601
ISSN: 2159-8290
CID: 5626362

Occipital Nocardia Abscess Presenting With Positive Visual Phenomenon and Quadrantanopsia

Fein, Alexander S; Kelly, Sean M; Louie, Eddie; Young, Matthew G; Jain, Rajan; William, Christopher M; Galetta, Steven L; Grossman, Scott N
A 74-year-old man with chronic obstructive pulmonary disease, glaucoma, and Stage IIIB squamous cell lung cancer experienced several minutes of flashing lights in his right visual hemifield, followed by onset of a right visual field defect. On examination, the patient had a right homonymous hemianopsia that was most dense inferiorly by confrontation testing. Emergent CT scan of the head revealed a 2.5 × 3 cm hypodensity in the left occipital lobe, which was interpreted as an acute stroke. Continuous EEG monitoring captured left posterior quadrant seizures that were temporally correlated to the positive visual phenomena. Subsequent MRI of the brain with and without contrast revealed a conglomerate of centrally necrotic and peripherally enhancing mass lesions. On biopsy, a thick purulent material was drained and Gram stain of the sample revealed gram-positive beaded rods, which speciated to Nocardia farcinica. The patient was treated with a six-week course of intravenous meropenem and a one-year course of oral trimethroprim-sulfamethoxazole. On follow-up, the patient experienced resolution of the right visual field deficit.
PMID: 37440372
ISSN: 1536-5166
CID: 5537712

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Lee, Matthew D; Patel, Sohil H; Mohan, Suyash; Akbari, Hamed; Bakas, Spyridon; Nasrallah, MacLean P; Calabrese, Evan; Rudie, Jeffrey; Villanueva-Meyer, Javier; LaMontagne, Pamela; Marcus, Daniel S; Colen, Rivka R; Balana, Carmen; Choi, Yoon Seong; Badve, Chaitra; Barnholtz-Sloan, Jill S; Sloan, Andrew E; Booth, Thomas C; Palmer, Joshua D; Dicker, Adam P; Flanders, Adam E; Shi, Wenyin; Griffith, Brent; Poisson, Laila M; Chakravarti, Arnab; Mahajan, Abhishek; Chang, Susan; Orringer, Daniel; Davatzikos, Christos; Jain, Rajan
PURPOSE/OBJECTIVE:While the T2-FLAIR mismatch sign is highly specific for isocitrate dehydrogenase (IDH)-mutant, 1p/19q-noncodeleted astrocytomas among lower-grade gliomas, its utility in WHO grade 4 gliomas is not well-studied. We derived the partial T2-FLAIR mismatch sign as an imaging biomarker for IDH mutation in WHO grade 4 gliomas. METHODS:Preoperative MRI scans of adult WHO grade 4 glioma patients (n = 2165) from the multi-institutional ReSPOND (Radiomics Signatures for PrecisiON Diagnostics) consortium were analyzed. Diagnostic performance of the partial T2-FLAIR mismatch sign was evaluated. Subset analyses were performed to assess associations of imaging markers with overall survival (OS). RESULTS:One hundred twenty-one (5.6%) of 2165 grade 4 gliomas were IDH-mutant. Partial T2-FLAIR mismatch was present in 40 (1.8%) cases, 32 of which were IDH-mutant, yielding 26.4% sensitivity, 99.6% specificity, 80.0% positive predictive value, and 95.8% negative predictive value. Multivariate logistic regression demonstrated IDH mutation was significantly associated with partial T2-FLAIR mismatch (odds ratio [OR] 5.715, 95% CI [1.896, 17.221], p = 0.002), younger age (OR 0.911 [0.895, 0.927], p < 0.001), tumor centered in frontal lobe (OR 3.842, [2.361, 6.251], p < 0.001), absence of multicentricity (OR 0.173, [0.049, 0.612], p = 0.007), and presence of cystic (OR 6.596, [3.023, 14.391], p < 0.001) or non-enhancing solid components (OR 6.069, [3.371, 10.928], p < 0.001). Multivariate Cox analysis demonstrated cystic components (p = 0.024) and non-enhancing solid components (p = 0.003) were associated with longer OS, while older age (p < 0.001), frontal lobe center (p = 0.008), multifocality (p < 0.001), and multicentricity (p < 0.001) were associated with shorter OS. CONCLUSION/CONCLUSIONS:Partial T2-FLAIR mismatch sign is highly specific for IDH mutation in WHO grade 4 gliomas.
PMID: 37468750
ISSN: 1432-1920
CID: 5535892

AI-based decision support improves reproducibility of tumor response assessment in neuro-oncology: an international multi-reader study

Vollmuth, Philipp; Foltyn, Martha; Huang, Raymond Y; Galldiks, Norbert; Petersen, Jens; Isensee, Fabian; van den Bent, Martin J; Barkhof, Frederik; Park, Ji Eun; Park, Yae Won; Ahn, Sung Soo; Brugnara, Gianluca; Meredig, Hagen; Jain, Rajan; Smits, Marion; Pope, Whitney B; Maier-Hein, Klaus; Weller, Michael; Wen, Patrick Y; Wick, Wolfgang; Bendszus, Martin
BACKGROUND:To assess whether AI-based decision support allows more reproducible and standardized assessment of treatment response on MRI in neuro-oncology as compared to manual 2-dimensional measurements of tumor burden using the RANO criteria. METHODS:A series of 30 patients (15 lower-grade gliomas, 15 glioblastoma) with availability of consecutive MRI scans was selected. The time to progression (TTP) on MRI was separately evaluated for each patient by 15 investigators over two rounds. In the 1 st round the TTP was evaluated based on the RANO-criteria, whereas in the 2 nd round the TTP was evaluated by incorporating additional information from AI-enhanced MRI-sequences depicting the longitudinal changes in tumor volumes. The agreement of the TTP-measurements between investigators was evaluated using concordance correlation coefficients (CCC) with confidence intervals (CI) and p-values obtained using bootstrap resampling. RESULTS:The CCC of TTP-measurements between investigators was 0.77 (95%CI=0.69,0.88) with RANO alone and increased to 0.91 (95%CI=0.82,0.95) with AI-based decision support (p=0.005). This effect was significantly greater (p=0.008) for patients with lower-grade gliomas (CCC=0.70 [95%CI=0.56,0.85] without vs. 0.90 [95%CI=0.76,0.95] with AI-based decision support) as compared to glioblastoma (CCC=0.83 [95%CI=0.75,0.92] without vs. 0.86 [95%CI=0.78,0.93] with AI-based decision support). Investigators with less years of experience judged the AI-based decision as more helpful (p=0.02). CONCLUSIONS:AI-based decision support has the potential to yield more reproducible and standardized assessment of treatment response in neuro-oncology as compared to manual 2-dimensional measurements of tumor burden, particularly in patients with lower-grade gliomas. A fully-functional version of this AI-based processing pipeline is provided as open-source (https://github.com/NeuroAI-HD/HD-GLIO-XNAT).
PMID: 35917833
ISSN: 1523-5866
CID: 5287962

Acute Neurological Complications of Coronavirus Disease

Chang, Sanders; Schecht, Michael; Jain, Rajan; Belani, Puneet
The coronavirus disease (COVID-19) pandemic has impacted many lives globally. Neurologic manifestations have been observed among individuals at various stages and severity of the disease, the most common being stroke. Prompt identification of these neurologic diagnoses can affect patient management and prognosis. This article discusses the acute neuroradiological features typical of COVID-19, including cerebrovascular disease, intracerebral hemorrhage, leukoencephalopathy, and sensory neuropathies.
PMID: 36404047
ISSN: 1557-9867
CID: 5371912

Author Correction: Federated learning enables big data for rare cancer boundary detection

Pati, Sarthak; Baid, Ujjwal; Edwards, Brandon; Sheller, Micah; Wang, Shih-Han; Reina, G Anthony; Foley, Patrick; Gruzdev, Alexey; Karkada, Deepthi; Davatzikos, Christos; Sako, Chiharu; Ghodasara, Satyam; Bilello, Michel; Mohan, Suyash; Vollmuth, Philipp; Brugnara, Gianluca; Preetha, Chandrakanth J; Sahm, Felix; Maier-Hein, Klaus; Zenk, Maximilian; Bendszus, Martin; Wick, Wolfgang; Calabrese, Evan; Rudie, Jeffrey; Villanueva-Meyer, Javier; Cha, Soonmee; Ingalhalikar, Madhura; Jadhav, Manali; Pandey, Umang; Saini, Jitender; Garrett, John; Larson, Matthew; Jeraj, Robert; Currie, Stuart; Frood, Russell; Fatania, Kavi; Huang, Raymond Y; Chang, Ken; Balaña, Carmen; Capellades, Jaume; Puig, Josep; Trenkler, Johannes; Pichler, Josef; Necker, Georg; Haunschmidt, Andreas; Meckel, Stephan; Shukla, Gaurav; Liem, Spencer; Alexander, Gregory S; Lombardo, Joseph; Palmer, Joshua D; Flanders, Adam E; Dicker, Adam P; Sair, Haris I; Jones, Craig K; Venkataraman, Archana; Jiang, Meirui; So, Tiffany Y; Chen, Cheng; Heng, Pheng Ann; Dou, Qi; Kozubek, Michal; Lux, Filip; Michálek, Jan; Matula, Petr; Keřkovský, Miloš; Kopřivová, Tereza; Dostál, Marek; Vybíhal, Václav; Vogelbaum, Michael A; Mitchell, J Ross; Farinhas, Joaquim; Maldjian, Joseph A; Yogananda, Chandan Ganesh Bangalore; Pinho, Marco C; Reddy, Divya; Holcomb, James; Wagner, Benjamin C; Ellingson, Benjamin M; Cloughesy, Timothy F; Raymond, Catalina; Oughourlian, Talia; Hagiwara, Akifumi; Wang, Chencai; To, Minh-Son; Bhardwaj, Sargam; Chong, Chee; Agzarian, Marc; Falcão, Alexandre Xavier; Martins, Samuel B; Teixeira, Bernardo C A; Sprenger, Flávia; Menotti, David; Lucio, Diego R; LaMontagne, Pamela; Marcus, Daniel; Wiestler, Benedikt; Kofler, Florian; Ezhov, Ivan; Metz, Marie; Jain, Rajan; Lee, Matthew; Lui, Yvonne W; McKinley, Richard; Slotboom, Johannes; Radojewski, Piotr; Meier, Raphael; Wiest, Roland; Murcia, Derrick; Fu, Eric; Haas, Rourke; Thompson, John; Ormond, David Ryan; Badve, Chaitra; Sloan, Andrew E; Vadmal, Vachan; Waite, Kristin; Colen, Rivka R; Pei, Linmin; Ak, Murat; Srinivasan, Ashok; Bapuraj, J Rajiv; Rao, Arvind; Wang, Nicholas; Yoshiaki, Ota; Moritani, Toshio; Turk, Sevcan; Lee, Joonsang; Prabhudesai, Snehal; Morón, Fanny; Mandel, Jacob; Kamnitsas, Konstantinos; Glocker, Ben; Dixon, Luke V M; Williams, Matthew; Zampakis, Peter; Panagiotopoulos, Vasileios; Tsiganos, Panagiotis; Alexiou, Sotiris; Haliassos, Ilias; Zacharaki, Evangelia I; Moustakas, Konstantinos; Kalogeropoulou, Christina; Kardamakis, Dimitrios M; Choi, Yoon Seong; Lee, Seung-Koo; Chang, Jong Hee; Ahn, Sung Soo; Luo, Bing; Poisson, Laila; Wen, Ning; Tiwari, Pallavi; Verma, Ruchika; Bareja, Rohan; Yadav, Ipsa; Chen, Jonathan; Kumar, Neeraj; Smits, Marion; van der Voort, Sebastian R; Alafandi, Ahmed; Incekara, Fatih; Wijnenga, Maarten M J; Kapsas, Georgios; Gahrmann, Renske; Schouten, Joost W; Dubbink, Hendrikus J; Vincent, Arnaud J P E; van den Bent, Martin J; French, Pim J; Klein, Stefan; Yuan, Yading; Sharma, Sonam; Tseng, Tzu-Chi; Adabi, Saba; Niclou, Simone P; Keunen, Olivier; Hau, Ann-Christin; Vallières, Martin; Fortin, David; Lepage, Martin; Landman, Bennett; Ramadass, Karthik; Xu, Kaiwen; Chotai, Silky; Chambless, Lola B; Mistry, Akshitkumar; Thompson, Reid C; Gusev, Yuriy; Bhuvaneshwar, Krithika; Sayah, Anousheh; Bencheqroun, Camelia; Belouali, Anas; Madhavan, Subha; Booth, Thomas C; Chelliah, Alysha; Modat, Marc; Shuaib, Haris; Dragos, Carmen; Abayazeed, Aly; Kolodziej, Kenneth; Hill, Michael; Abbassy, Ahmed; Gamal, Shady; Mekhaimar, Mahmoud; Qayati, Mohamed; Reyes, Mauricio; Park, Ji Eun; Yun, Jihye; Kim, Ho Sung; Mahajan, Abhishek; Muzi, Mark; Benson, Sean; Beets-Tan, Regina G H; Teuwen, Jonas; Herrera-Trujillo, Alejandro; Trujillo, Maria; Escobar, William; Abello, Ana; Bernal, Jose; Gómez, Jhon; Choi, Joseph; Baek, Stephen; Kim, Yusung; Ismael, Heba; Allen, Bryan; Buatti, John M; Kotrotsou, Aikaterini; Li, Hongwei; Weiss, Tobias; Weller, Michael; Bink, Andrea; Pouymayou, Bertrand; Shaykh, Hassan F; Saltz, Joel; Prasanna, Prateek; Shrestha, Sampurna; Mani, Kartik M; Payne, David; Kurc, Tahsin; Pelaez, Enrique; Franco-Maldonado, Heydy; Loayza, Francis; Quevedo, Sebastian; Guevara, Pamela; Torche, Esteban; Mendoza, Cristobal; Vera, Franco; Ríos, Elvis; López, Eduardo; Velastin, Sergio A; Ogbole, Godwin; Soneye, Mayowa; Oyekunle, Dotun; Odafe-Oyibotha, Olubunmi; Osobu, Babatunde; Shu'aibu, Mustapha; Dorcas, Adeleye; Dako, Farouk; Simpson, Amber L; Hamghalam, Mohammad; Peoples, Jacob J; Hu, Ricky; Tran, Anh; Cutler, Danielle; Moraes, Fabio Y; Boss, Michael A; Gimpel, James; Veettil, Deepak Kattil; Schmidt, Kendall; Bialecki, Brian; Marella, Sailaja; Price, Cynthia; Cimino, Lisa; Apgar, Charles; Shah, Prashant; Menze, Bjoern; Barnholtz-Sloan, Jill S; Martin, Jason; Bakas, Spyridon
PMID: 36702828
ISSN: 2041-1723
CID: 5426632

3D-2D GAN Based Brain Metastasis Synthesis with Configurable Parameters for Fully 3D Data Augmentation

Chapter by: Zhao, Gengyan; Yoo, Youngjin; Re, Thomas J.; Das, Jyotipriya; Hesheng, Wang; Kim, Michelle M.; Shen, Colette; Lee, Yueh; Kondziolka, Douglas; Ibrahim, Mohannad; Lian, Jun; Jain, Rajan; Zhu, Tong; Parmar, Hemant; Balter, James M.; Cao, Yue; Gibson, Eli; Comaniciu, Dorin
in: Progress in Biomedical Optics and Imaging - Proceedings of SPIE by
[S.l.] : SPIE, 2023
pp. ?-?
ISBN: 9781510660335
CID: 5501952

Imaging-based stratification of adult gliomas prognosticates survival and correlates with the 2021 WHO classification

Kamble, Akshaykumar N; Agrawal, Nidhi K; Koundal, Surabhi; Bhargava, Salil; Kamble, Abhaykumar N; Joyner, David A; Kalelioglu, Tuba; Patel, Sohil H; Jain, Rajan
BACKGROUND:Because of the lack of global accessibility, delay, and cost-effectiveness of genetic testing, there is a clinical need for an imaging-based stratification of gliomas that can prognosticate survival and correlate with the 2021-WHO classification. METHODS:In this retrospective study, adult primary glioma patients with pre-surgery/pre-treatment MRI brain images having T2, FLAIR, T1, T1 post-contrast, DWI sequences, and survival information were included in TCIA training-dataset (n = 275) and independent validation-dataset (n = 200). A flowchart for imaging-based stratification of adult gliomas(IBGS) was created in consensus by three authors to encompass all adult glioma types. Diagnostic features used were T2-FLAIR mismatch sign, central necrosis with peripheral enhancement, diffusion restriction, and continuous cortex sign. Roman numerals (I, II, and III) denote IBGS types. Two independent teams of three and two radiologists, blinded to genetic, histology, and survival information, manually read MRI into three types based on the flowchart. Overall survival-analysis was done using age-adjusted Cox-regression analysis, which provided both hazard-ratio (HR) and area-under-curve (AUC) for each stratification system(IBGS and 2021-WHO). The sensitivity and specificity of each IBSG type were analyzed with cross-table to identify the corresponding 2021-WHO genotype. RESULTS:Imaging-based stratification was statistically significant in predicting survival in both datasets with good inter-observer agreement (age-adjusted Cox-regression, AUC > 0.5, k > 0.6, p < 0.001). IBGS type-I, type-II, and type-III gliomas had good specificity in identifying IDHmut 1p19q-codel oligodendroglioma (training - 97%, validation - 85%); IDHmut 1p19q non-codel astrocytoma (training - 80%, validation - 85.9%); and IDHwt glioblastoma (training - 76.5%, validation- 87.3%) respectively (p-value < 0.01). CONCLUSIONS:Imaging-based stratification of adult diffuse gliomas predicted patient survival and correlated well with 2021-WHO glioma classification.
PMID: 35876874
ISSN: 1432-1920
CID: 5276232

MRI features predict tumor grade in isocitrate dehydrogenase (IDH)-mutant astrocytoma and oligodendroglioma

Joyner, David A; Garrett, John; Batchala, Prem P; Rama, Bharath; Ravicz, Joshua R; Patrie, James T; Lopes, Maria-B; Fadul, Camilo E; Schiff, David; Jain, Rajan; Patel, Sohil H
PURPOSE/OBJECTIVE:Nearly all literature for predicting tumor grade in astrocytoma and oligodendroglioma pre-dates the molecular classification system. We investigated the association between contrast enhancement, ADC, and rCBV with tumor grade separately for IDH-mutant astrocytomas and molecularly-defined oligodendrogliomas. METHODS:For this retrospective study, 44 patients with IDH-mutant astrocytomas (WHO grades II, III, or IV) and 39 patients with oligodendrogliomas (IDH-mutant and 1p/19q codeleted) (WHO grade II or III) were enrolled. Two readers independently assessed preoperative MRI for contrast enhancement, ADC, and rCBV. Inter-reader agreement was calculated, and statistical associations between MRI metrics and WHO grade were determined per reader. RESULTS:For IDH-mutant astrocytomas, both readers found a stepwise positive association between contrast enhancement and WHO grade (Reader A: OR 7.79 [1.97, 30.80], p = 0.003; Reader B: OR 6.62 [1.70, 25.82], p = 0.006); both readers found that ADC was negatively associated with WHO grade (Reader A: OR 0.74 [0.61, 0.90], p = 0.002); Reader B: OR 0.80 [0.66, 0.96], p = 0.017), and both readers found that rCBV was positively associated with WHO grade (Reader A: OR 2.33 [1.35, 4.00], p = 0.002; Reader B: OR 2.13 [1.30, 3.57], p = 0.003). For oligodendrogliomas, both readers found a positive association between contrast enhancement and WHO grade (Reader A: OR 15.33 [2.56, 91.95], p = 0.003; Reader B: OR 20.00 [2.19, 182.45], p = 0.008), but neither reader found an association between ADC or rCBV and WHO grade. CONCLUSIONS:Contrast enhancement predicts WHO grade for IDH-mutant astrocytomas and oligodendrogliomas. ADC and rCBV predict WHO grade for IDH-mutant astrocytomas, but not for oligodendrogliomas.
PMID: 35953567
ISSN: 1432-1920
CID: 5287192