دورية أكاديمية
Diffuse glioma, not otherwise specified: imaging-based risk stratification achieves histomolecular-level prognostication
| العنوان: | Diffuse glioma, not otherwise specified: imaging-based risk stratification achieves histomolecular-level prognostication |
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| المساهمون: | Eun Bee Jang, Ho Sung Kim, Ji Eun Park, Seo Young Park, Yeo Kyung Nam, Soo Jung Nam, Young-Hoon Kim, Jeong Hoon Kim |
| بيانات النشر: | Springer International |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Brain Neoplasms* / diagnostic imaging, Brain Neoplasms* / genetics, Glioma* / diagnostic imaging, Glioma* / genetics, Humans, Isocitrate Dehydrogenase / genetics, Mutation, Retrospective Studies, Risk Assessment, Diagnostic molecular pathology, Glioma, Imaging genomics, Prognosis |
| الوصف: | Objectives: To determine whether imaging-based risk stratification enables prognostication in diffuse glioma, NOS (not otherwise specified). Methods: Data from 220 patients classified as diffuse glioma, NOS, between January 2011 and December 2020 were retrospectively included. Two neuroradiologists analyzed pre-surgical CT and MRI to assign gliomas to the three imaging-based risk types considering well-known imaging phenotypes (e.g., T2/FLAIR mismatch). According to the 2021 World Health Organization classification, the three risk types included (1) low-risk, expecting oligodendroglioma, isocitrate dehydrogenase (IDH)-mutant, and 1p/19q-codeleted; (2) intermediate-risk, expecting astrocytoma, IDH-mutant; and (3) high-risk, expecting glioblastoma, IDH-wildtype. Progression-free survival (PFS) and overall survival (OS) were estimated for each risk type. Time-dependent receiver operating characteristic analysis using 10-fold cross-validation with 100-fold bootstrapping was used to compare the performance of an imaging-based survival model with that of a historical molecular-based survival model published in 2015, created using The Cancer Genome Archive data. Results: Prognostication according to the three imaging-based risk types was achieved for both PFS and OS (log-rank test, p < 0.001). The imaging-based survival model showed high prognostic value, with areas under the curves (AUCs) of 0.772 and 0.650 for 1-year PFS and OS, respectively, similar to the historical molecular-based survival model (AUC = 0.74 for PFS and 0.87 for OS). The imaging-based survival model achieved high long-term performance in both 3-year PFS (AUC = 0.806) and 5-year OS (AUC = 0.812). Conclusion: Imaging-based risk stratification achieved histomolecular-level prognostication in diffuse glioma, NOS, and could aid in guiding patient referral for insufficient or unsuccessful molecular diagnosis. Key points: • Three imaging-based risk types enable distinct prognostication in diffuse glioma, NOS (not otherwise specified). • The ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 0938-7994 1432-1084 35587830 |
| العلاقة: | EUROPEAN RADIOLOGY; J00851; OAK-2022-10357; https://ir.ymlib.yonsei.ac.kr/handle/22282913/194850Test; https://link.springer.com/article/10.1007/s00330-022-08850-zTest; T9920221000; EUROPEAN RADIOLOGY, Vol.32(11) : 7780-7788, 2022-05 |
| DOI: | 10.1007/s00330-022-08850-z |
| الإتاحة: | https://doi.org/10.1007/s00330-022-08850-zTest https://ir.ymlib.yonsei.ac.kr/handle/22282913/194850Test |
| حقوق: | CC BY-NC-ND 2.0 KR |
| رقم الانضمام: | edsbas.9837DF3 |
| قاعدة البيانات: | BASE |
| تدمد: | 09387994 14321084 35587830 |
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| DOI: | 10.1007/s00330-022-08850-z |