Assessment of the quality and current performance computed tomography (CT) radiomics-based models in predicting epidermal growth factor receptor (EGFR) mutation status patients with non-small-cell lung carcinoma (NSCLC). Two medical literature databases were systematically searched, articles presenting original studies on CT for EGFR retrieved. Forest plots related statistical tests performed t...

Recent advances in artificial intelligence have greatly impacted the field of medical imaging and vastly improved development computational algorithms for data analysis. In pediatric neuro-oncology, radiomics, process obtaining high-dimensional from radiographic images, has been recently utilized applications including survival prognostication, molecular classification, tumor type classificatio...

• The use of screening breast MRI is expanding beyond high-risk women to include intermediate- and average-risk women. study by Pötsch et al uses a radiomics-based method decrease the number benign biopsies while maintaining high sensitivity. Future studies will likely increasingly focus on deep learning methods abbreviated data.

Up to 40% of localized colon cancer (CC) patients relapse despite optimal initial treatment. Circulating tumor DNA has emerged as a new prognostic biomarker in this setting. However, liquid biopsy tests provide limited accuracy the early prediction relapse. On basis, radiomics and artificial intelligence (AI) are posed relevant insights patient outcome. Here we propose predictive model CC recur...

Background and purpose: Radiomics features are used to identify disease types predict therapy outcomes. However, how the radiomics different among anatomical structures has never been investigated. Hence, we analyzed of 22 in head neck area CT images. Furthermore, studied whether can classify using unsupervised machine-learning techniques. Materials methods: We obtained IMRT/VMAT treatment plan...

Radiomics holds great promise in the field of cancer management. However, clinical application radiomics has been hampered by uncertainty about robustness features extracted from images. Previous studies have reported that are sensitive to changes voxel size resampling and interpolation, image perturbation, or slice thickness. This study aims observe variability positron emission tomography (PE...