Zhao Dongxu, Duan Lin, Juratli Tareq A, Shen Fazheng, Zhou Liyun, Cui Shulin, Zhang Hang, Ren Hang, Cheng Luyao, Wang Hailan, Shi Wenhan, Li Tianxiao, Li Ming
Department of Cerebrovascular Disease and Neurosurgery, Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, 450003, China.
Department of Neurosurgery, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Ann Clin Transl Neurol. 2025 Feb;12(2):255-266. doi: 10.1002/acn3.52251. Epub 2024 Nov 18.
To differentiate glioma grading and determine isocitrate dehydrogenase (IDH) mutation status, which are crucial for prognosis assessment and treatment planning in glioma patients.
This retrospective study included patients diagnosed with adult diffuse glioma from 1 January, 2018 to 31 July, 2023 in two independent institutions. It documented and analysed clinical and radiographic features. A nomogram model was constructed using stepwise regression to predict lower-grade gliomas and IDH mutation status.
A total of 383 adult patients with diffuse glioma were included in the study, with Cohort A (297 patients) serving as the training set and Cohort B (86 patients) serving as the validation cohort. Consistent with previous reports, the Hyper fluid-attenuated inversion recovery (FLAIR) rim sign exhibited higher sensitivity in lower-grade gliomas for IDH mutant gliomas compared with the T2-FLAIR mismatch sign. However, the Hyper FLAIR rim sign was also present in Grade 4 gliomas, and thus, the T2-FLAIR mismatch sign exhibited better clinical efficacy in predicting glioma grade and IDH mutation compared with the Hyper FLAIR rim sign in clinical applications. Meanwhile, preoperative magnetic resonance spectroscopy (MRS) indicators, particularly the Cho/Cr ratio, have shown excellent performance in predicting glioma grade and IDH mutation status. The nomogram developed through stepwise regression demonstrated excellent predictive capabilities in distinguishing glioma grade and IDH mutation status.
Combining imaging and molecular features, the predictive model established in this study offers a reliable non-invasive tool for predicting glioma grading and IDH mutation status, aiding the clinical decision-making process and improving patient management.
鉴别胶质瘤分级并确定异柠檬酸脱氢酶(IDH)突变状态,这对胶质瘤患者的预后评估和治疗规划至关重要。
这项回顾性研究纳入了2018年1月1日至2023年7月31日在两个独立机构诊断为成人弥漫性胶质瘤的患者。记录并分析了临床和影像学特征。使用逐步回归构建列线图模型,以预测低级别胶质瘤和IDH突变状态。
本研究共纳入383例成人弥漫性胶质瘤患者,其中队列A(297例患者)作为训练集,队列B(86例患者)作为验证队列。与既往报道一致,与T2-FLAIR不匹配征相比,超液体衰减反转恢复(FLAIR)边缘征在IDH突变型低级别胶质瘤中表现出更高的敏感性。然而,4级胶质瘤中也存在超FLAIR边缘征,因此,在临床应用中,与超FLAIR边缘征相比,T2-FLAIR不匹配征在预测胶质瘤分级和IDH突变方面表现出更好的临床效果。同时,术前磁共振波谱(MRS)指标,尤其是Cho/Cr比值,在预测胶质瘤分级和IDH突变状态方面表现出优异的性能。通过逐步回归开发的列线图在区分胶质瘤分级和IDH突变状态方面表现出优异的预测能力。
本研究建立的预测模型结合影像学和分子特征,为预测胶质瘤分级和IDH突变状态提供了一种可靠的非侵入性工具,有助于临床决策过程并改善患者管理。