과제정보
We thank to Yeo Kyung Nam, MD (Shinchon Yonsei Hospital) and Minjae Kim, MD, PhD (Asan Medical Center) for participating as a reader of this study.
참고문헌
- Hammoud MA, Sawaya R, Shi W, Thall PF, Leeds NE. Prognostic significance of preoperative MRI scans in glioblastoma multiforme. J Neurooncol 1996;27:65-73 https://doi.org/10.1007/BF00146086
- Lacroix M, Abi-Said D, Fourney DR, Gokaslan ZL, Shi W, DeMonte F, et al. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. J Neurosurg 2001;95:190-198 https://doi.org/10.3171/jns.2001.95.2.0190
- Diehn M, Nardini C, Wang DS, McGovern S, Jayaraman M, Liang Y, et al. Identification of noninvasive imaging surrogates for brain tumor gene-expression modules. Proc Natl Acad Sci U S A 2008;105:5213-5218 https://doi.org/10.1073/pnas.0801279105
- Patel SH, Poisson LM, Brat DJ, Zhou Y, Cooper L, Snuderl M, et al. T2-FLAIR mismatch, an imaging biomarker for IDH and 1p/19q status in lower-grade gliomas: a TCGA/TCIA project. Clin Cancer Res 2017;23:6078-6085 https://doi.org/10.1158/1078-0432.CCR-17-0560
- Smits M, van den Bent MJ. Imaging correlates of adult glioma genotypes. Radiology 2017;284:316-331 https://doi.org/10.1148/radiol.2017151930
- Carrillo JA, Lai A, Nghiemphu PL, Kim HJ, Phillips HS, Kharbanda S, et al. Relationship between tumor enhancement, edema, IDH1 mutational status, MGMT promoter methylation, and survival in glioblastoma. AJNR Am J Neuroradiol 2012;33:1349-1355 https://doi.org/10.3174/ajnr.A2950
- Nam YK, Park JE, Park SY, Lee M, Kim M, Nam SJ, et al. Reproducible imaging-based prediction of molecular subtype and risk stratification of gliomas across different experience levels using a structured reporting system. Eur Radiol 2021;31:7374-7385 https://doi.org/10.1007/s00330-021-08015-4
- Louis DN, Wesseling P, Paulus W, Giannini C, Batchelor TT, Cairncross JG, et al. cIMPACT-NOW update 1: Not Otherwise Specified (NOS) and Not Elsewhere Classified (NEC). Acta Neuropathol 2018;135:481-484 https://doi.org/10.1007/s00401-018-1808-0
- Juratli TA, Tummala SS, Riedl A, Daubner D, Hennig S, Penson T, et al. Radiographic assessment of contrast enhancement and T2/FLAIR mismatch sign in lower grade gliomas: correlation with molecular groups. J Neurooncol 2019;141:327-335 https://doi.org/10.1007/s11060-018-03034-6
- Lee MK, Park JE, Jo Y, Park SY, Kim SJ, Kim HS. Advanced imaging parameters improve the prediction of diffuse lower-grade gliomas subtype, IDH mutant with no 1p19q codeletion: added value to the T2/FLAIR mismatch sign. Eur Radiol 2020;30:844-854 https://doi.org/10.1007/s00330-019-06395-2
- Johnson DR, Kaufmann TJ, Patel SH, Chi AS, Snuderl M, Jain R. There is an exception to every rule-T2-FLAIR mismatch sign in gliomas. Neuroradiology 2019;61:225-227 https://doi.org/10.1007/s00234-018-2148-4
- Onishi S, Yamasaki F, Takano M, Yonezawa U, Taguchi A, Sugiyama K, et al. NIMG-01. T2wi-Flair mismatch sign in lower grade glioma and dysembryoplastic neuroepithelial tumor. Neuro Oncol 2019;21(Suppl 6):vi161
- Gritsch S, Batchelor TT, Gonzalez Castro LN. Diagnostic, therapeutic, and prognostic implications of the 2021 World Health Organization classification of tumors of the central nervous system. Cancer 2022;128:47-58 https://doi.org/10.1002/cncr.33918
- Arevalo O, Valenzuela R, Esquenazi Y, Rao M, Tran B, Zhu J, et al. The 2016 World Health Organization classification of tumors of the central nervous system: a practical approach for gliomas, part 2. Isocitrate dehydrogenase status-imaging correlation. Neurographics 2017;7:344-349 https://doi.org/10.3174/ng.9170231
- Kanazawa T, Fujiwara H, Takahashi H, Nishiyama Y, Hirose Y, Tanaka S, et al. Imaging scoring systems for preoperative molecular diagnoses of lower-grade gliomas. Neurosurg Rev 2019;42:433-441 https://doi.org/10.1007/s10143-018-0981-x
- Maynard J, Okuchi S, Wastling S, Busaidi AA, Almossawi O, Mbatha W, et al. World Health Organization Grade II/III glioma molecular status: prediction by MRI morphologic features and apparent diffusion coefficient. Radiology 2020;296:111-121 https://doi.org/10.1148/radiol.2020191832
- Zhou H, Vallieres M, Bai HX, Su C, Tang H, Oldridge D, et al. MRI features predict survival and molecular markers in diffuse lower-grade gliomas. Neuro Oncol 2017;19:862-870 https://doi.org/10.1093/neuonc/now256
- Kim YJ, Chang KH, Song IC, Kim HD, Seong SO, Kim YH, et al. Brain abscess and necrotic or cystic brain tumor: discrimination with signal intensity on diffusion-weighted MR imaging. AJR Am J Roentgenol 1998;171:1487-1490 https://doi.org/10.2214/ajr.171.6.9843275
- Cancer Genome Atlas Research Network; Brat DJ, Verhaak RG, Aldape KD, Yung WK, Salama SR, et al. Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas. N Engl J Med 2015;372:2481-2498 https://doi.org/10.1056/NEJMoa1402121
- Buckner JC, Shaw EG, Pugh SL, Chakravarti A, Gilbert MR, Barger GR, et al. Radiation plus procarbazine, CCNU, and vincristine in low-grade glioma. N Engl J Med 2016;374:1344-1355 https://doi.org/10.1056/NEJMoa1500925
- Bell EH, Pugh SL, McElroy JP, Gilbert MR, Mehta M, Klimowicz AC, et al. Molecular-based recursive partitioning analysis model for glioblastoma in the temozolomide era: a correlative analysis based on NRG oncology RTOG 0525. JAMA Oncology 2017;3:784-792 https://doi.org/10.1001/jamaoncol.2016.6020
- Leao DJ, Craig PG, Godoy LF, Leite CC, Policeni B. Response assessment in neuro-oncology criteria for gliomas: practical approach using conventional and advanced techniques. Am J Neuroradiol 2020;41:10-20 https://doi.org/10.3174/ajnr.A6358
- Wen PY, Macdonald DR, Reardon DA, Cloughesy TF, Sorensen AG, Galanis E, et al. Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J Clin Oncol 2010;28:1963-1972 https://doi.org/10.1200/JCO.2009.26.3541
- Wesseling P, Capper D. WHO 2016 classification of gliomas. Neuropathol Appl Neurobiol 2018;44:139-150 https://doi.org/10.1111/nan.12432
- Louis DN, Perry A, Reifenberger G, von Deimling A, Figarella-Branger D, Cavenee WK, et al. The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 2016;131:803-820 https://doi.org/10.1007/s00401-016-1545-1
- Jang EB, Kim HS, Park JE, Park SY, Nam YK, Nam SJ, et al. Diffuse glioma, not otherwise specified: imaging-based risk stratification achieves histomolecular-level prognostication. Eur Radiol 2022;32:7780-7788 https://doi.org/10.1007/s00330-022-08850-z
- Gutman DA, Cooper LA, Hwang SN, Holder CA, Gao J, Aurora TD, et al. MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. Radiology 2013;267:560-569 https://doi.org/10.1148/radiol.13120118
- Nicolasjilwan M, Hu Y, Yan C, Meerzaman D, Holder CA, Gutman D, et al. Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients. J Neuroradiol 2015;42:212-221 https://doi.org/10.1016/j.neurad.2014.02.006
- Chaichana K, Parker S, Olivi A, Quinones-Hinojosa A. A proposed classification system that projects outcomes based on preoperative variables for adult patients with glioblastoma multiforme. J Neurosurg 2010;112:997-1004 https://doi.org/10.3171/2009.9.JNS09805
- Zhao K, Liu R, Li Z, Liu M, Zhao Y, Xue Z, et al. The imaging features and prognosis of gliomas involving the subventricular zone: an MRI study. Clin Neurol Neurosurg 2022;222:107465
- Pope WB, Sayre J, Perlina A, Villablanca JP, Mischel PS, Cloughesy TF. MR imaging correlates of survival in patients with high-grade gliomas. AJNR Am J Neuroradiol 2005;26:2466-2474
- Katki HA. Quantifying risk stratification provided by diagnostic tests and risk predictions: comparison to AUC and decision curve analysis. Stat Med 2019;38:2943-2955 https://doi.org/10.1002/sim.8163
- Han KL, Ren M, Wick W, Abrey L, Das A, Jin J, et al. Progression-free survival as a surrogate endpoint for overall survival in glioblastoma: a literature-based meta-analysis from 91 trials. Neuro Oncol 2014;16:696-706 https://doi.org/10.1093/neuonc/not236
- Lamborn KR, Yung WK, Chang SM, Wen PY, Cloughesy TF, DeAngelis LM, et al. Progression-free survival: an important end point in evaluating therapy for recurrent high-grade gliomas. Neuro Oncol 2008;10:162-170 https://doi.org/10.1215/15228517-2007-062
- Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, et al. An image is worth 16x16 words: transformers for image recognition at scale. arXiv:2010.11929 [Preprint]. [posted October 22, 2020; revised June 3, 2021; cited October 6, 2021]. https://arxiv.org/abs/2010.11929