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He L, Fei F, Zhou C, Bai X, Yu S, Wang L, Xu R, Liu H. Establishment and validation of a nomogram for predicting IDH-wildtype glioblastomas in nonenhancing adult-type diffuse gliomas. Neurooncol Adv 2025; 7:vdaf035. [PMID: 40321617 PMCID: PMC12048881 DOI: 10.1093/noajnl/vdaf035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2025] Open
Abstract
Background Approximately 8.94%-44.44% of nonenhancing adult-type diffuse gliomas are identified as glioblastomas. Our purpose is to develop a nomogram that can predict glioblastomas from nonenhancing adult-type diffuse gliomas. Methods Nonenhancing adult-type diffuse gliomas were collected from Beijing Tiantan Hospital and TCIA public database. Univariate and multivariate logistic regression were performed to screen features on the training set. The features with P < .05 in multivariate logistic regression were used to establish the prediction model. The testing and validation sets were used to test the model. Results A total of 557 and 67 nonenhancing adult-type diffuse gliomas were collected from Beijing Tiantan Hospital and TCIA, respectively. The T2-FLAIR mismatch sign exhibited 100% specificity but low sensitivity (<30%) in ruling out glioblastoma. Age, tumor location, rADC(kurtosis), and rADC(median) were identified as independent predictors and employed for developing the prediction model. The AUC of the model was 0.901, 0.861, and 0.945 in the training, testing, and validation set, respectively. The best cutoff value of nomoscore was 138.5, which achieved sensitivity of 0.935, 0.714, and 0.895, specificity of 0.777, 0.782, and 0.8775 in the training, testing, and validation sets, respectively. Survival analysis shown that patients with nomoscore above 138.5 had significantly poorer survival time than those with scores below 138.5. Conclusions Positive T2-FLAIR mismatch sign can effectively rule out glioblastoma in nonenhancing adult-type diffuse gliomas with high specificity. Nonenhancing adult-type diffuse gliomas with nomoscore above 138.5 are highly suspicious for glioblastoma or nonglioblastoma with a poor prognosis.
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Affiliation(s)
- Lei He
- Department of Neurosurgery, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Fan Fei
- Department of Neurosurgery, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Chengzhi Zhou
- Department of Neurosurgery, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaoyan Bai
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuqing Yu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lei Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ruxiang Xu
- Department of Neurosurgery, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Hanjie Liu
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, America
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Lui E. Perfusion percentage signal recovery and a mundane chicken wire: what could they have to do in oligodendrogliomas? Eur Radiol 2024; 34:5317-5319. [PMID: 38530428 DOI: 10.1007/s00330-024-10711-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 02/25/2024] [Accepted: 03/07/2024] [Indexed: 03/28/2024]
Affiliation(s)
- Elaine Lui
- Department of Radiology, The University of Melbourne, Parkville, Victoria, Australia.
- Department of Medical Imaging, The Royal Melbourne Hospital, Parkville, Victoria, Australia.
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He L, Zhang H, Li T, Yang J, Zhou Y, Wang J, Saidaer T, Bai X, Liu X, Wang Y, Wang L. Identifying IDH-mutant and 1p/19q noncodeleted astrocytomas from nonenhancing gliomas: Manual recognition followed by artificial intelligence recognition. Neurooncol Adv 2024; 6:vdae013. [PMID: 38405203 PMCID: PMC10894653 DOI: 10.1093/noajnl/vdae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024] Open
Abstract
Background The T2-FLAIR mismatch sign (T2FM) has nearly 100% specificity for predicting IDH-mutant and 1p/19q noncodeleted astrocytomas (astrocytomas). However, only 18.2%-56.0% of astrocytomas demonstrate a positive T2FM. Methods must be considered for distinguishing astrocytomas from negative T2FM gliomas. In this study, positive T2FM gliomas were manually distinguished from nonenhancing gliomas, and then a support vector machine (SVM) classification model was used to distinguish astrocytomas from negative T2FM gliomas. Methods Nonenhancing gliomas (regardless of pathological type or grade) diagnosed between January 2022 and October 2022 (N = 300) and November 2022 and March 2023 (N = 196) will comprise the training and validation sets, respectively. Our method for distinguishing astrocytomas from nonenhancing gliomas was examined and validated using the training set and validation set. Results The specificity of T2FM for predicting astrocytomas was 100% in both the training and validation sets, while the sensitivity was 42.75% and 67.22%, respectively. Using a classification model of SVM based on radiomics features, among negative T2FM gliomas, the accuracy was above 85% when the prediction score was greater than 0.70 in identifying astrocytomas and above 95% when the prediction score was less than 0.30 in identifying nonastrocytomas. Conclusions Manual screening of positive T2FM gliomas, followed by the SVM classification model to differentiate astrocytomas from negative T2FM gliomas, may be a more effective method for identifying astrocytomas in nonenhancing gliomas.
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Affiliation(s)
- Lei He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Hong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Tianshi Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Jianing Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yanpeng Zhou
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Jiaxiang Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Tuerhong Saidaer
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xiaoyan Bai
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xing Liu
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yinyan Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, People’s Republic of China
- Chinese Institute for Brain Research, Beijing, People’s Republic of China
| | - Lei Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, People’s Republic of China
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4
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Jung AY. Basics for Pediatric Brain Tumor Imaging: Techniques and Protocol Recommendations. Brain Tumor Res Treat 2024; 12:1-13. [PMID: 38317484 PMCID: PMC10864130 DOI: 10.14791/btrt.2023.0037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 11/24/2023] [Accepted: 11/28/2023] [Indexed: 02/07/2024] Open
Abstract
This review provides an overview of the current state of pediatric brain tumor imaging, emphasizing the role of various imaging sequences and highlighting the advantages of standardizing protocols for pediatric brain tumor imaging in diagnosis and treatment response evaluation. Basic anatomical sequences such as pre- and post-contrast 3D T1-weighted, T2-weighted, fluid-attenuated inversion recovery, T2*-weighted, and diffusion-weighted imaging (DWI), are fundamental for assessing tumor location, extent, and characteristics. Advanced techniques like DWI, diffusion tensor imaging, perfusion imaging, magnetic resonance spectroscopy, and functional MRI offer insights into cellularity, vascularity, metabolism, and function. To enhance consistency and quality, standardized protocols for pediatric brain tumor imaging have been recommended by expert groups. Special considerations for pediatric patients, including the minimization of anesthesia exposure and gadolinium contrast agent usage, are essential to ensure patient safety and comfort. Staying up-to-date with diagnostic imaging techniques can contribute to improved communication, outcomes, and patient care in the field of pediatric neurooncology.
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Affiliation(s)
- Ah Young Jung
- Department of Radiology, Asan Medical Center, Seoul, Korea.
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5
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Lee MD, Patel SH, Mohan S, Akbari H, Bakas S, Nasrallah MP, Calabrese E, Rudie J, Villanueva-Meyer J, LaMontagne P, Marcus DS, Colen RR, Balana C, Choi YS, Badve C, Barnholtz-Sloan JS, Sloan AE, Booth TC, Palmer JD, Dicker AP, Flanders AE, Shi W, Griffith B, Poisson LM, Chakravarti A, Mahajan A, Chang S, Orringer D, Davatzikos C, Jain R. Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium. Neuroradiology 2023; 65:1343-1352. [PMID: 37468750 PMCID: PMC11058040 DOI: 10.1007/s00234-023-03196-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 07/07/2023] [Indexed: 07/21/2023]
Abstract
PURPOSE 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 Partial T2-FLAIR mismatch sign is highly specific for IDH mutation in WHO grade 4 gliomas.
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Affiliation(s)
- Matthew D Lee
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
| | - Sohil H Patel
- Department of Radiology, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Suyash Mohan
- Department of Radiology, Division of Neuroradiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Hamed Akbari
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - MacLean P Nasrallah
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Glioblastoma Multiforme Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Evan Calabrese
- Department of Radiology, Division of Neuroradiology, Duke University, Durham, NC, USA
| | - Jeffrey Rudie
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Javier Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Pamela LaMontagne
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel S Marcus
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Rivka R Colen
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Carmen Balana
- Medical Oncology Department, Catalan Institute of Oncology (ICO), Barcelona, Spain
| | - Yoon Seong Choi
- Department of Radiology, Section of Neuroradiology, Yonsei University Health System, Seoul, South Korea
| | - Chaitra Badve
- Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA
| | - Jill S Barnholtz-Sloan
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, MD, USA
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Andrew E Sloan
- Department of Neurosurgery, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA
- Seidman Cancer Center and Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Thomas C Booth
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, King's College Hospital NHS Foundation Trust, Ruskin WingLondon, UK
| | - Joshua D Palmer
- Department of Radiation Oncology and Neurosurgery, The James Cancer Hospital at the Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Adam P Dicker
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Adam E Flanders
- Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Wenyin Shi
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Brent Griffith
- Department of Radiology, Henry Ford Health, Detroit, MI, USA
| | - Laila M Poisson
- Department of Public Health Sciences, Center for Bioinformatics, Henry Ford Health, Detroit, MI, USA
| | - Arnab Chakravarti
- Department of Radiation Oncology and Neurosurgery, The James Cancer Hospital at the Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, UK
| | - Susan Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Daniel Orringer
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Center for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Rajan Jain
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
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6
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Garcia‐Mora J, Parker RL, Cecere T, Robertson JL, Rossmeisl JH. The T2-FLAIR mismatch sign as an imaging biomarker for oligodendrogliomas in dogs. J Vet Intern Med 2023; 37:1447-1454. [PMID: 37246729 PMCID: PMC10365042 DOI: 10.1111/jvim.16749] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/09/2023] [Indexed: 05/30/2023] Open
Abstract
BACKGROUND In humans, the T2-weighted (T2W)-fluid-attenuated inversion recovery (FLAIR) mismatch sign (T2FMM) is a specific imaging biomarker for the isocitrate dehydrogenase 1 (IDH1)-mutated, 1p/19q non-codeleted low-grade astrocytomas (LGA). The T2FMM is characterized by a homogeneous hyperintense T2W signal and a hypointense signal with a hyperintense peripheral rim on FLAIR sequences. In gliomas in dogs, the T2FMM has not been described. HYPOTHESES/OBJECTIVES In dogs with focal intra-axial brain lesions, T2FMM will discriminate gliomas from other lesions. The T2FMM will be associated with the LGA phenotype and presence of microcysts on histopathology. Interobserver agreement for T2FMM magnetic resonance imaging (MRI) features will be high. ANIMALS One hundred eighty-six dogs with histopathologically diagnosed focal intra-axial lesions on brain MRI including oligodendrogliomas (n = 90), astrocytomas (n = 47), undefined gliomas (n = 9), cerebrovascular accidents (n = 33), and inflammatory lesions (n = 7). METHODS Two blinded raters evaluated the 186 MRI studies and identified cases with the T2FMM. Histopathologic and immunohistochemical slides of T2FMM cases were evaluated for morphologic features and IDH1-mutations and compared to cases without the T2FMM. Gene expression analyses were performed on a subset of oligodendrogliomas (n = 10) with and without T2FMM. RESULTS The T2FMM was identified in 14/186 (8%) of MRI studies, and all dogs with T2FMM had oligodendrogliomas (n = 12 low-grade [LGO], n = 2 high-grade [HGO]; P < .001). Microcystic change was significantly associated with the T2FMM (P < .00001). In oligodendrogliomas with T2FMM, IDH1-mutations or specific differentially expressed genes were not identified. CONCLUSION AND CLINICAL IMPORTANCE The T2FMM can be readily identified on routinely obtained MRI sequences. It is a specific biomarker for oligodendroglioma in dogs, and was significantly associated with non-enhancing LGO.
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Affiliation(s)
- Josefa Garcia‐Mora
- Department of Small Animal Clinical Sciences and Animal Cancer Care and Research CenterVirginia‐Maryland College of Veterinary Medicine, Virginia TechBlacksburgVirginiaUSA
- Veterinary and Comparative Neuro‐Oncology Laboratory, Virginia‐Maryland College of Veterinary Medicine, Virginia TechBlacksburgVirginiaUSA
| | - Rell L. Parker
- Department of Small Animal Clinical Sciences and Animal Cancer Care and Research CenterVirginia‐Maryland College of Veterinary Medicine, Virginia TechBlacksburgVirginiaUSA
| | - Thomas Cecere
- Department of Biomedical Sciences & PathobiologyVirginia‐Maryland College of Veterinary Medicine, Virginia TechBlacksburgVirginiaUSA
| | - John L. Robertson
- Veterinary and Comparative Neuro‐Oncology Laboratory, Virginia‐Maryland College of Veterinary Medicine, Virginia TechBlacksburgVirginiaUSA
- School of Biomedical Engineering and Sciences, Virginia Tech‐Wake Forest UniversityBlacksburgVirginiaUSA
- Comprehensive Cancer Center and Brain Tumor Center of Excellence, Wake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - John H. Rossmeisl
- Department of Small Animal Clinical Sciences and Animal Cancer Care and Research CenterVirginia‐Maryland College of Veterinary Medicine, Virginia TechBlacksburgVirginiaUSA
- Veterinary and Comparative Neuro‐Oncology Laboratory, Virginia‐Maryland College of Veterinary Medicine, Virginia TechBlacksburgVirginiaUSA
- School of Biomedical Engineering and Sciences, Virginia Tech‐Wake Forest UniversityBlacksburgVirginiaUSA
- Comprehensive Cancer Center and Brain Tumor Center of Excellence, Wake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
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7
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Wagner MW, Nobre L, Namdar K, Khalvati F, Tabori U, Hawkins C, Ertl-Wagner BB. T2-FLAIR Mismatch Sign in Pediatric Low-Grade Glioma. AJNR Am J Neuroradiol 2023; 44:841-845. [PMID: 37348970 PMCID: PMC10337621 DOI: 10.3174/ajnr.a7916] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/22/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND AND PURPOSE No qualitative imaging feature currently predicts molecular alterations of pediatric low-grade gliomas with high sensitivity or specificity. The T2-FLAIR mismatch sign predicts IDH-mutated 1p19q noncodeleted adult gliomas with high specificity. We aimed to assess the significance of the T2-FLAIR mismatch sign in pediatric low-grade gliomas. MATERIALS AND METHODS Pretreatment MR images acquired between January 2001 and August 2018 in pediatric patients with pediatric low-grade gliomas were retrospectively identified. Inclusion criteria were the following: 1) 0-18 years of age, 2) availability of molecular information in histopathologically confirmed cases, and 3) availability of preoperative brain MR imaging with non-motion-degraded T2-weighted and FLAIR sequences. Spinal cord tumors were excluded. RESULTS Three hundred forty-nine patients were included (187 boys; mean age, 8.7 [SD, 4.8] years; range, 0.5-17.7 years). KIAA1549-B-Raf proto-oncogene (BRAF) fusion and BRAF p.V600E mutation were the most common molecular markers (n = 148, 42%, and n = 73, 20.7%, respectively). The T2-FLAIR mismatch sign was present in 25 patients (7.2%). Of these, 9 were dysembryoplastic neuroepithelial tumors; 8, low-grade astrocytomas; 5, diffuse astrocytomas; 1, a pilocytic astrocytoma; 1, a glioneuronal tumor; and 1, an angiocentric glioma. None of the 25 T2-FLAIR mismatch pediatric low-grade gliomas were BRAF p.V600E-mutated. Fourteen of 25 pediatric low-grade gliomas with the T2-FLAIR mismatch sign had rare molecular alterations, while the molecular subtype was unknown for 11 tumors. CONCLUSIONS The T2-FLAIR mismatch sign was not observed in the common molecular alterations, BRAF p.V600E-mutated and KIAA1549-BRAF fused pediatric low-grade gliomas, while it was encountered in pediatric low-grade gliomas with rare pediatric molecular alterations.
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Affiliation(s)
- M W Wagner
- From the Division of Neuroradiology (M.W.W., F.K., B.B.E.-W.), Department of Diagnostic Imaging
- Neurosciences & Mental Health Research Program (M.W.W., F.K., B.B.E.-W.), SickKids Research Institute, Toronto, Ontario, Canada
- Department of Medical Imaging (M.W.W., K.N., F.K., B.B.E.-W.)
- Department of Neuroradiology (M.W.W.), University Hospital Augsburg, Augsburg, Germany
| | - L Nobre
- Department of Neurooncology (L.N., U.T.)
| | - K Namdar
- Department of Medical Imaging (M.W.W., K.N., F.K., B.B.E.-W.)
- Department of Computer Science (K.N., F.K.)
- Department of Mechanical and Industrial Engineering (K.N., F.K.), University of Toronto, Toronto, Ontario, Canada
| | - F Khalvati
- From the Division of Neuroradiology (M.W.W., F.K., B.B.E.-W.), Department of Diagnostic Imaging
- Neurosciences & Mental Health Research Program (M.W.W., F.K., B.B.E.-W.), SickKids Research Institute, Toronto, Ontario, Canada
- Department of Medical Imaging (M.W.W., K.N., F.K., B.B.E.-W.)
- Institute of Medical Science (F.K.)
- Department of Computer Science (K.N., F.K.)
- Department of Mechanical and Industrial Engineering (K.N., F.K.), University of Toronto, Toronto, Ontario, Canada
- Vector Institute (F.K.), Toronto, Ontario, Canada
| | - U Tabori
- Department of Neurooncology (L.N., U.T.)
| | - C Hawkins
- Department of Paediatric Laboratory Medicine (C.H.), Division of Pathology, The Hospital for Sick Children (SickKids), Toronto, Ontario, Canada
| | - B B Ertl-Wagner
- From the Division of Neuroradiology (M.W.W., F.K., B.B.E.-W.), Department of Diagnostic Imaging
- Neurosciences & Mental Health Research Program (M.W.W., F.K., B.B.E.-W.), SickKids Research Institute, Toronto, Ontario, Canada
- Department of Medical Imaging (M.W.W., K.N., F.K., B.B.E.-W.)
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8
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Nishimura S, Yamashita K, Togao O, Kikuchi K, Kuga D, Yamamoto H, Yoshimoto K, Ishigami K. The T2-FLAIR mismatch sign in glioblastoma, isocitrate dehydrogenase wild-type A case report. Acta Radiol Open 2023; 12:20584601231184565. [PMID: 37342484 PMCID: PMC10278412 DOI: 10.1177/20584601231184565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/08/2023] [Indexed: 06/23/2023] Open
Abstract
We present a case of the T2-FLAIR mismatch sign in glioblastoma, isocitrate dehydrogenase (IDH)-wild type. The T2-FLAIR mismatch sign is known as a highly specific imaging finding of astrocytoma, IDH-mutant. Meanwhile, IDH-wildtype diffuse astrocytic gliomas with telomerase reverse transcriptase (TERT) promoter mutation in adults are defined as glioblastoma in the 2021 World Health Organization Classification of Tumors of the Central Nervous System, fifth edition (2021 WHO classification), which underscores the importance of molecular information in central nervous system tumors. This indicates even glioblastoma, IDH-wild type may be masquerading as lower-grade glioma in histology. The reasons for the discrepancy between tumors with less aggressive histology and poor prognosis caused by telomerase reverse transcriptase promoter mutation of IDH-wildtype diffuse glioma remain unclear. However, glioblastoma, IDH-wildtype should be considered as a potential differential diagnosis even in patients with the T2-FLAIR mismatch sign in diffuse gliomas.
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Affiliation(s)
- Shunsuke Nishimura
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Koji Yamashita
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Osamu Togao
- Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kazufumi Kikuchi
- Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Daisuke Kuga
- Department of Neurosurgery, Kyushu University Faculty of Medicine Graduate School of Medical Sciences School of Medicine, Fukuoka, Japan
| | - Hidetaka Yamamoto
- Department of Anatomic Pathology, Pathologic Sciences, Kyushu University Faculty of Medicine Graduate School of Medical Sciences School of Medicine, Fukuoka, Japan
- Department of Pathology, Dentistry and Pharmaceutical Sciences, Graduate School of Medicine, Okayama University, Okayama, Japan
| | - Koji Yoshimoto
- Department of Neurosurgery, Kyushu University Faculty of Medicine Graduate School of Medical Sciences School of Medicine, Fukuoka, Japan
| | - Kousei Ishigami
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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9
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Yamamoto T, Tourdias T. Editorial comment: "Diffuse glioma, not otherwise specified: imaging-based risk stratification achieves histomolecular-level prognostication". Eur Radiol 2022; 32:7778-7779. [PMID: 36100776 DOI: 10.1007/s00330-022-09098-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/06/2022] [Accepted: 07/23/2022] [Indexed: 01/03/2023]
Affiliation(s)
- Takayuki Yamamoto
- Institut de Bio-imagerie IBIO, Université de Bordeaux, 146 rue Léo saignat 33076, F-33000, Bordeaux, France.
| | - Thomas Tourdias
- Institut de Bio-imagerie IBIO, Université de Bordeaux, 146 rue Léo saignat 33076, F-33000, Bordeaux, France.,Centre Hospitalier Universitaire (CHU) de Bordeaux, Neuroimagerie Diagnostique et Thérapeutique, F-33000, Bordeaux, France.,INSERM, Neurocentre Magendie, Université de Bordeaux, U1215, F-33000, Bordeaux, France
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