医学
无线电技术
比例危险模型
危险系数
磁共振成像
胶质母细胞瘤
异柠檬酸脱氢酶
动态对比度
弗雷明翰风险评分
肿瘤科
内科学
对比度(视觉)
放射科
核医学
置信区间
人工智能
疾病
计算机科学
生物化学
化学
癌症研究
酶
作者
Elena S. Pak,Kyu Hun Choi,Seung Hong Choi,Sung Hye Park,Tae Yong Kim,Sung Sup Park,Joo-Ho Lee,Soon-Tae Lee,Ilseon Hwang,Roh Eul Yoo,Koung Mi Kang,Tae Sup Yun,Ji-Eun Kim,Chul-Ho Sohn
标识
DOI:10.3348/kjr.2020.1433
摘要
To develop a radiomics risk score based on dynamic contrast-enhanced (DCE) MRI for prognosis prediction in patients with glioblastoma.One hundred and fifty patients (92 male [61.3%]; mean age ± standard deviation, 60.5 ± 13.5 years) with glioblastoma who underwent preoperative MRI were enrolled in the study. Six hundred and forty-two radiomic features were extracted from volume transfer constant (Ktrans), fractional volume of vascular plasma space (Vp), and fractional volume of extravascular extracellular space (Ve) maps of DCE MRI, wherein the regions of interest were based on both T1-weighted contrast-enhancing areas and non-enhancing T2 hyperintense areas. Using feature selection algorithms, salient radiomic features were selected from the 642 features. Next, a radiomics risk score was developed using a weighted combination of the selected features in the discovery set (n = 105); the risk score was validated in the validation set (n = 45) by investigating the difference in prognosis between the "radiomics risk score" groups. Finally, multivariable Cox regression analysis for progression-free survival was performed using the radiomics risk score and clinical variables as covariates.16 radiomic features obtained from non-enhancing T2 hyperintense areas were selected among the 642 features identified. The radiomics risk score was used to stratify high- and low-risk groups in both the discovery and validation sets (both p < 0.001 by the log-rank test). The radiomics risk score and presence of isocitrate dehydrogenase (IDH) mutation showed independent associations with progression-free survival in opposite directions (hazard ratio, 3.56; p = 0.004 and hazard ratio, 0.34; p = 0.022, respectively).We developed and validated the "radiomics risk score" from the features of DCE MRI based on non-enhancing T2 hyperintense areas for risk stratification of patients with glioblastoma. It was associated with progression-free survival independently of IDH mutation status.
科研通智能强力驱动
Strongly Powered by AbleSci AI