External validation of 18F-FDG PET-based radiomic models on identification of residual oesophageal cancer after neoadjuvant chemoradiotherapy.
Sign Up to like & getrecommendations! Published in 2023 at "Nuclear medicine communications"
DOI: 10.1097/mnm.0000000000001707
Abstract: OBJECTIVES Detection of residual oesophageal cancer after neoadjuvant chemoradiotherapy (nCRT) is important to guide treatment decisions regarding standard oesophagectomy or active surveillance. The aim was to validate previously developed 18F-FDG PET-based radiomic models to detect… read more here.
Keywords: model; external validation; radiomic models; residual oesophageal ... See more keywords
Overall Survival Prediction of Glioma Patients With Multiregional Radiomics
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.911065
Abstract: Radiomics-guided prediction of overall survival (OS) in brain gliomas is seen as a significant problem in Neuro-oncology. The ultimate goal is to develop a robust MRI-based approach (i.e., a radiomics model) that can accurately classify… read more here.
Keywords: radiomic models; tumor; subregions radiomics; segmentation ... See more keywords
Comparison of Radiomic Models Based on Low-Dose and Standard-Dose CT for Prediction of Adenocarcinomas and Benign Lesions in Solid Pulmonary Nodules
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2020.634298
Abstract: Objectives This study aimed to develop radiomic models based on low-dose CT (LDCT) and standard-dose CT to distinguish adenocarcinomas from benign lesions in patients with solid solitary pulmonary nodules and compare the performance among these… read more here.
Keywords: adenocarcinomas benign; radiomic models; standard dose; ldct standard ... See more keywords
Clinical-radiomic models based on digital breast tomosynthesis images: a preliminary investigation of a predictive tool for cancer diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2023.1152158
Abstract: Objective This study aimed to develop a clinical–radiomic model based on radiomic features extracted from digital breast tomosynthesis (DBT) images and clinical factors that may help to discriminate between benign and malignant breast lesions. Materials… read more here.
Keywords: clinical radiomic; digital breast; breast tomosynthesis; radiomic models ... See more keywords