在MRI上最大程度切除非增强肿瘤是IDH野生型胶质母细胞瘤的一个有利预后因素。

IF 12.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Radiology Pub Date : 2025-05-01 DOI:10.1148/radiol.241393
Hye Hyeon Moon,Doonyaporn Wongsawaeng Wave,Ji Eun Park,Seo Young Park,Seunghee Baek,Young-Hoon Kim,Sang Woo Song,Chang-Ki Hong,Jeong Hoon Kim,Myung Hwan Lee,Yae Won Park,Sung Soo Ahn,Jeffrey Michael Pollock,Ramon Francisco Barajas,Ho Sung Kim
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External validation used consecutive patients from two centers (March 2017 to January 2023). Patients were stratified into three groups: GTR-NET, GTR in contrast-enhanced tumor (CET) only, and no GTR. A conditional inference tree (CIT) model was developed using GTR type, age, and O6-methylguanine DNA methyltransferase (MGMT) promoter methylation status to predict overall survival (OS) and was externally validated. Kaplan-Meier analysis, log-rank test, time-dependent area under the receiver operating characteristic curve, and Harrell C-indexes were used for evaluation. Results In the training set (n = 201; mean age, 60 years ± 11.3; 109 males), four survival groups were identified. GTR-NET was associated with longer OS (median, 32.6 months; IQR, 18.7-46.7 months; P < .001). When GTR-NET was not achieved, OS was stratified as follows: younger than age 60 years (median OS, 23.4 months; IQR, 12.2-34.8 months), age 60 years or older and positive for MGMT (median OS, 19.1 months; IQR, 13.0-27.8 months), and age 60 years or older and negative for MGMT (median OS, 10.7 months; IQR, 6.5-14.1 months). External validation sets (352 patients in external validation set 1 and 60 patients external validation set 2) confirmed these groups (P < .001 and P = .04). Time-dependent areas under the receiver operating characteristic curve ranged from 0.684 (95% CI: 0.623, 0.745) to 0.694 (95% CI: 0.631, 0.758) and from 0.610 (95% CI: 0.449, 0.771) to 0.678 (95% CI: 0.512, 0.844), with CIT sensitivity for GTR-NET at 70.7%-77.3% and 87.6%-87.9% and C-indexes of 0.65 and 0.63. Conclusion A GTR-NET-based survival model was developed and validated, demonstrating that GTR-NET is an independent prognostic marker for longer OS in IDH-wildtype glioblastoma. 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引用次数: 0

摘要

异柠檬酸脱氢酶(IDH)野生型胶质母细胞瘤通常包括非对比增强肿瘤(NET)成分,NET切除的程度可以作为预后指标。目的评估基于NET总全切除(GTR)的临床结果,建立包含GTR-NET的IDH野生型胶质母细胞瘤的真实生存模型,并在跨国外部队列中验证研究结果。材料和方法回顾性分析纳入前瞻性登记(2017年3月至2020年10月)的IDH野生型胶质母细胞瘤患者作为训练集。外部验证使用了来自两个中心的连续患者(2017年3月至2023年1月)。患者被分为三组:GTR- net组、仅GTR增强肿瘤(CET)组和无GTR组。使用GTR类型、年龄和o6 -甲基鸟嘌呤DNA甲基转移酶(MGMT)启动子甲基化状态建立条件推断树(CIT)模型来预测总生存期(OS),并进行外部验证。采用Kaplan-Meier分析、log-rank检验、受试者工作特征曲线下随时间变化面积和Harrell c指数进行评价。结果在训练集中(n = 201;平均年龄60岁±11.3岁;109名男性),确定了四个生存组。GTR-NET与更长的OS相关(中位,32.6个月;IQR, 18.7-46.7个月;P < 0.001)。未达到GTR-NET时,OS分层如下:年龄小于60岁(中位OS 23.4个月;IQR, 12.2-34.8个月),年龄60岁及以上,MGMT阳性(中位OS, 19.1个月;IQR, 13.0-27.8个月),年龄60岁或以上,MGMT阴性(中位OS, 10.7个月;IQR, 6.5-14.1个月)。外部验证集(外部验证集1 352例,外部验证集2 60例)证实了这些组(P < .001, P = .04)。受试者工作特征曲线下的时间依赖区域范围为0.684 (95% CI: 0.623, 0.745)至0.694 (95% CI: 0.631, 0.758), 0.610 (95% CI: 0.449, 0.771)至0.678 (95% CI: 0.512, 0.844), GTR-NET的CIT敏感性为70.7% ~ 77.3%和87.6% ~ 87.9%,c指数为0.65和0.63。结论建立并验证了基于GTR-NET的生存模型,表明GTR-NET是idh野生型胶质母细胞瘤较长生存期的独立预后标志物。ClinicalTrials.gov标识符:NCT02619890©RSNA, 2025本文提供补充材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximum Resection of Noncontrast-enhanced Tumor at MRI Is a Favorable Prognostic Factor in IDH Wild-Type Glioblastoma.
Background Isocitrate dehydrogenase (IDH) wild-type glioblastoma often includes a noncontrast-enhanced tumor (NET) component, and the extent of NET resection may serve as a prognostic marker. Purpose To assess clinical outcomes based on gross total resection (GTR) of NET, develop a real-world survival model incorporating GTR-NET for IDH wild-type glioblastoma, and validate the findings in multinational external cohorts. Materials and Methods A retrospective analysis included patients with IDH wild-type glioblastoma in a prospective registry (March 2017 to October 2020) as the training set. External validation used consecutive patients from two centers (March 2017 to January 2023). Patients were stratified into three groups: GTR-NET, GTR in contrast-enhanced tumor (CET) only, and no GTR. A conditional inference tree (CIT) model was developed using GTR type, age, and O6-methylguanine DNA methyltransferase (MGMT) promoter methylation status to predict overall survival (OS) and was externally validated. Kaplan-Meier analysis, log-rank test, time-dependent area under the receiver operating characteristic curve, and Harrell C-indexes were used for evaluation. Results In the training set (n = 201; mean age, 60 years ± 11.3; 109 males), four survival groups were identified. GTR-NET was associated with longer OS (median, 32.6 months; IQR, 18.7-46.7 months; P < .001). When GTR-NET was not achieved, OS was stratified as follows: younger than age 60 years (median OS, 23.4 months; IQR, 12.2-34.8 months), age 60 years or older and positive for MGMT (median OS, 19.1 months; IQR, 13.0-27.8 months), and age 60 years or older and negative for MGMT (median OS, 10.7 months; IQR, 6.5-14.1 months). External validation sets (352 patients in external validation set 1 and 60 patients external validation set 2) confirmed these groups (P < .001 and P = .04). Time-dependent areas under the receiver operating characteristic curve ranged from 0.684 (95% CI: 0.623, 0.745) to 0.694 (95% CI: 0.631, 0.758) and from 0.610 (95% CI: 0.449, 0.771) to 0.678 (95% CI: 0.512, 0.844), with CIT sensitivity for GTR-NET at 70.7%-77.3% and 87.6%-87.9% and C-indexes of 0.65 and 0.63. Conclusion A GTR-NET-based survival model was developed and validated, demonstrating that GTR-NET is an independent prognostic marker for longer OS in IDH-wildtype glioblastoma. ClinicalTrials.gov identifier: NCT02619890 © RSNA, 2025 Supplemental material is available for this article.
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来源期刊
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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