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A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication
Wei Jingwei1,1,2,3; Yang Guoqiang4; Hao Xiaohan1; Gu Dongsheng1,2,3; Tan Yan4; Wang Xiaochun4; Dong Di1,2,3; Zhang Shuaitong1,2,3; Wang Le4; Zhang Hui4; Tian Jie1,2,3
Source PublicationEuropean Radiology
2018-07-23
Issue29Pages:877-888
Abstract

Abstract

Objectives Oxygen 6-methylguanine-DNA methyltransferase (MGMT) promoter methylation is a significant prognostic biomarker
in astrocytomas, especially for temozolomide (TMZ) chemotherapy. This study aimed to preoperatively predictMGMTmethylation
status based on magnetic resonance imaging (MRI) radiomics and validate its value for evaluation of TMZ chemotherapy effect.
Methods We retrospectively reviewed a cohort of 105 patients with grade II-IV astrocytomas. Radiomic features were extracted
from the tumour and peritumoral oedema habitats on contrast-enhanced T1-weighted images, T2-weighted fluid-attenuated inversion
recovery images and apparent diffusion coefficient (ADC) maps. The following radiomics analysis was structured in three
phases: feature reduction, signature construction and discrimination statistics. A fusion radiomics signature was finally developed
using logistic regression modelling. Predictive performance was compared between the radiomics signature, previously reported
clinical factors and ADC parameters. Validation was additionally performed on a time-independent cohort (n = 31). The prognostic
value of the signature on overall survival for TMZ chemotherapy was explored using Kaplan Meier estimation.
Results The fusion radiomics signature exhibited supreme power for predicting MGMT promoter methylation, with area under
the curve values of 0.925 in the training cohort and 0.902 in the validation cohort. Performance of the radiomics signature
surpassed that of clinical factors and ADC parameters. Moreover, the radiomics approach successfully divided patients into highrisk
and low-risk groups for overall survival after TMZ chemotherapy (p = 0.03).
Conclusions The proposed radiomics signature accurately predictedMGMT promoter methylation in patients with astrocytomas, and
achieved survival stratification for TMZ chemotherapy, thus providing a preoperative basis for individualised treatment planning.

KeywordAstrocytoma Methylation Prognosis Diagnostic Imaging Roc Curve
Indexed BySCI
Language英语
WOS IDWOS:000454706500042
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23670
Collection学术期刊
中国科学院分子影像重点实验室
Corresponding AuthorZhang Hui; Tian Jie
Affiliation1.Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
2.Beijing Key Laboratory of Molecular Imaging, Beijing 100190, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.Department of Radiology, First Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
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Wei Jingwei,Yang Guoqiang,Hao Xiaohan,et al. A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication[J]. European Radiology,2018(29):877-888.
APA Wei Jingwei.,Yang Guoqiang.,Hao Xiaohan.,Gu Dongsheng.,Tan Yan.,...&Tian Jie.(2018).A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication.European Radiology(29),877-888.
MLA Wei Jingwei,et al."A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication".European Radiology .29(2018):877-888.
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