Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma
Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma
复制标题
DOI:
10.1148/ryai.2020190199
复制
发表时间:
2021-01-01
期刊:
影响因子:
--
通讯作者:
Kalpathy-Cramer, Jayashree
中科院分区:
文献类型:
--
作者:
Hoebel, Katharina, V;Patel, Jay B.;Kalpathy-Cramer, Jayashree
Purpose: To determine the influence of preprocessing on the repeatability and redundancy of radiomics features extracted using a popular open-source radiomics software package in a scan-rescan glioblastoma MRI study.Materials and Methods: In this study, a secondary analysis of T2-weighted fluid-attenuated inversion recovery (FLAIR) and T1-weighted postcontrast images from 48 patients (mean age, 56 years [range, 22-77 years]) diagnosed with glioblastoma were included from two prospective studies (ClinicalTrials.gov NCT00662506 [2009-2011] and NCT00756106 [2008-2011]). All patients underwent two baseline scans 2-6 days apart using identical imaging protocols on 3-T MRI systems. No treatment occurred between scan and rescan, and tumors were essentially unchanged visually. Radiomic features were extracted by using PyRadiomics (https://pyradiomics.readthedocs.io/) under varying conditions, including normalization strategies and intensity quantization. Subsequently, intraclass correlation coefficients were determined between feature values of the scan and rescan.Results: Shape features showed a higher repeatability than intensity (adjusted P