Texture features extraction
intrahepatic lesion, volume MM
Axial T2-w images (T2WI) were transferred into an open-source ITK-SNAP software (version 3.6.0, www. itksnap.org) for manual segmentation; the region of interest (ROI) on the MR images cannot be obtained automatically. As a result, an experienced radiologist (with more than 10 years of experience in abdominal radiology), blinded to the patients’ clinical status, reviewed the aforementioned MR images and manually traced the border of the lesions slice by slice to acquire a 2D ROI. Subsequently, the three-dimensional volume of interest (3D VOI) was constructed automatically based on the 2D ROIs of the intrahepatic lesion. Subsequently, the radiomics features from each VOI were extracted using in-house software (Artificial Intelligence Kit, A.K, GE Healthcare). A total of 396 radiomics features were extracted from MRI images, including (1) histogram features, such as entropy, energy, kurtosis, uniformity, and skewness; (2) form factor features, including compactness, surface area, sphericity, maximum 3D diameter, surface volume ratio, volume CC, spherical disproportion, and volume MM; (3) texture features, such as gray-level size zone matrix (GLZSM), gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), and Haralick parameters.