4.6 Article

18F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma

期刊

CANCER IMAGING
卷 19, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s40644-019-0246-0

关键词

Radiomics; FDG PET; MGMT promoter methylation; Glioma; Prognosis

资金

  1. Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences [2016-I2M-2-001, 2018-I2M-3-001]
  2. Fundamental Research Funds for the Central Universities [3332018029]
  3. National Natural Science Foundation of China [81772009, 81772012]
  4. Scientific and Technological Research Project of Henan Province [182102310162]
  5. Beijing Natural Science Foundation [7182109]
  6. Chinese Academy of Sciences [GJJSTD20170004, QYZDJ-SSW-JSC005]
  7. Youth Innovation Promotion Association of Chinese Academy of Sciences [2019136]

向作者/读者索取更多资源

Background The methylation status of the O-6-methylguanine-DNA methyltransferase (MGMT) promoter has emerged as a favorable independent prognostic and predictive biomarker in glioma. This study aimed to build a radiomics signature based on F-18-fluorodeoxyglucose (FDG) positron emission tomography (PET) for noninvasive measurement of the MGMT promoter methylation status in glioma. Methods One hundred and seven pathology-confirmed primary diffuse glioma patients were retrospectively included and randomly assigned to the primary (n = 71) or validation cohort (n = 36). The MGMT promoter methylation status was measured by pyrosequencing. A total of 1561 radiomics features were extracted from the three-dimensional region of interest (ROI) on the standard uptake value (SUV) maps that were generated from the original F-18-FDG PET data. A radiomics signature, a clinical signature and a fusion signature that combined the clinical and radiomics features together were generated. The performance of the three signatures was evaluated by receiver operating characteristic (ROC) curve analysis, and the patient prognosis was stratified based on the MGMT promoter methylation status and the signature with the best performance. Results Five radiomics features were selected to construct the radiomics signature, and displayed the best performance with area under the receiver operating characteristic (ROC) curve (AUC) reaching 0.94 and 0.86 in the primary and validation cohorts, respectively, which outweigh the performances of clinical signature and fusion signature. With a median follow-up time of 32.4 months, the radiomics signature stratified the glioma patients into two risk groups with significantly different prognoses (p = 0.04). Conclusions F-18-FDG-PET-based radiomics is a promising approach for preoperatively evaluating the MGMT promoter methylation status in glioma and predicting the prognosis of glioma patients noninvasively.

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