Multi-sequence MRI radiomics of colorectal liver metastases: Which features are reproducible across readers?

Eur J Radiol. 2024 Mar:172:111346. doi: 10.1016/j.ejrad.2024.111346. Epub 2024 Feb 1.

Abstract

Purpose: To assess the inter-reader reproducibility of radiomics features on multiple MRI sequences after segmentations of colorectal liver metastases (CRLM).

Method: 30 CRLM (in 23 patients) were manually delineated by three readers on MRI before the start of chemotherapy on the contrast enhanced T1-weighted images (CE-T1W) in the portal venous phase, T2-weighted images (T2W) and b800 diffusion weighted images (DWI). DWI delineations were copied to the ADC-maps. 107 radiomics features were extracted per sequence. The intraclass correlation coefficient (ICC) was calculated per feature. Features were considered reproducible if ICC > 0.9.

Results: 90% of CE-T1W features were reproducible with a median ICC of 0.98 (range 0.76-1.00). 81% of DWI features were robust with median ICC = 0.97 (range 0.38-1.00). The T2W features had a median ICC of 0.96 (range 0.55-0.99) and were reproducible in 80%. ADC showed the lowest number of reproducible features with 58% and median ICC = 0.91 (range 0.38-0.99) When considering the lower bound of the ICC 95% confidence intervals, 58%, 66%, 54% and 29% reached 0.9 for the CE-T1W, DWI, T2W and ADC features, respectively. The feature class with the best reproducibility differed per sequence.

Conclusions: The majority of MRI radiomics features from CE-T1W, T2W, DWI and ADC in colorectal liver metastases were robust for segmentation variability between readers. The CE-T1W yielded slightly better reproducibility results compared to DWI and T2W. The ADC features seem more susceptible to reader differences compared to the other three sequences.

Keywords: Colorectal cancer; Hepatic metastasis; MRI; Radiomics; Reproducibility; Segmentation.

MeSH terms

  • Colorectal Neoplasms* / diagnostic imaging
  • Diffusion Magnetic Resonance Imaging / methods
  • Humans
  • Liver Neoplasms* / diagnostic imaging
  • Magnetic Resonance Imaging / methods
  • Radiomics
  • Reproducibility of Results