Multimodel habitats constructed by perfusion and/or diffusion MRI predict isocitrate dehydrogenase mutation status and prognosis in high-grade gliomas

作者全名："Liu, J.; Cong, C.; Zhang, J.; Qiao, J.; Guo, H.; Wu, H.; Sang, Z.; Kang, H.; Fang, J.; Zhang, W."

作者地址："[Liu, J.; Qiao, J.; Guo, H.; Sang, Z.; Kang, H.; Zhang, W.] Army Med Univ, Daping Hosp, Dept Radiol, Chongqing 400042, Peoples R China; [Liu, J.; Qiao, J.; Guo, H.; Sang, Z.; Kang, H.; Fang, J.; Zhang, W.] Chongqing Clin Res Ctr Imaging & Nucl Med, Chongqing 400042, Peoples R China; [Cong, C.] Army Med Univ, Daping Hosp, Dept Nucl Med, Chongqing 400042, Peoples R China; [Cong, C.] Chongqing Univ Technol, Sch Elect & Elect Engn, Chongqing 400054, Peoples R China; [Zhang, J.] Gen Hosp Western Theater Command PLA, Dept Radiol, Chengdu 600083, Peoples R China; [Wu, H.] Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, Chongqing 400042, Peoples R China; [Fang, J.] Army Med Univ, Daping Hosp, Dept Ultrasound, Chongqing 400042, Peoples R China; [Zhang, W.] Army Med Univ, Daping Hosp, Dept Radiol, 10 Changjiang Rd, Chongqing 400042, Peoples R China"

通信作者："Zhang, W (通讯作者)，Army Med Univ, Daping Hosp, Dept Radiol, 10 Changjiang Rd, Chongqing 400042, Peoples R China."

来源：CLINICAL RADIOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001146397600001

JCR分区：Q2

影响因子：2.6

年份：2024

卷号：79

期号：1

开始页：e127

结束页：e136

文献类型：Article

关键词：　

摘要："AIM: To determine whether tumour vascular and cellular heterogeneity of high-grade glioma (HGG) is predictive of isocitrate dehydrogenase (IDH) mutation status and overall survival (OS) by using tumour habitat-based analysis constructed by perfusion and/or diffusion magnetic resonance imaging (MRI).MATERIALS AND METHODS: Seventy-eight HGG patients that met the 2021 World Health Organization WHO Classification of Tumors of the Central Nervous System, 5th edition (WHO CNS5), were enrolled to predict IDH mutation status, of which 32 grade 4 patients with unmethylated O-6-methylguanine-DNA methyltransferase (MGMT) promoter were enrolled for prognostic analysis. The deep-learning-based model nnU-Net and K-means clustering algorithm were applied to construct the Traditional Habitat, Vascular Habitat (VH), Cellular Density Habitat (DH), and their Combined Habitat (CH). Quantitative parameters were extracted and compared between IDH-mutant and IDH-wild-type patients, respectively, and the prediction potential was evaluated by receiver operating characteristic (ROC) curve analysis. OS was analysed using Kaplan-Meier survival analysis and the log-rank test.RESULTS: Compared with IDH-mutants, median relative cerebral blood volume (rCBVmedian) values in the whole enhancing tumour (WET), VH1, VH3, CH1-4 habitats were significantly increased in IDH-wild-type HGGs (all p<0.05). Additionally, the accuracy of rCBVmedian values in CH1 outperformed other habitats in identifying IDH mutation status (p<0.001) at a cut-off value of 4.83 with AUC of 0.815. Kaplan-Meier survival analysis highlighted significant differences in OS between the populations dichotomised by the median of rCBVmedian in WET, VH1, CH1-3 habitats (all p<0.05).CONCLUSIONS: The habitat imaging technique may improve the accuracy of predicting IDH mutation status and prognosis, and even provide a new direction for subsequent personalised precision treatment.(c) 2023 Published by Elsevier Ltd on behalf of The Royal College of Radiologists."

基金机构：Science and Technology Project of Chongqing Imaging Medicine and Nuclear Medicine Clinical Research Center [CSTC2015YFPT-gcjsyjzx0175]; Natural Science Foundation of Chongqing [cstc2021jcyj-msxmX0230]; Improvement Plan for the Innovation Ability of Army Medical Center [2019CXLCC019]

基金资助正文：The authors thank all the medical staff for their support and collaboration. This study was support financially by Science and Technology Project of Chongqing Imaging Medicine and Nuclear Medicine Clinical Research Center (CSTC2015YFPT-gcjsyjzx0175) ; Natural Science Foundation of Chongqing (cstc2021jcyj-msxmX0230) ; and The Improvement Plan for the Innovation Ability of Army Medical Center (2019CXLCC019) .