A Novel Multimodal Radiomics Model for Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2020.00457
Abstract: Objective: To explore a new predictive model of lymphatic vascular infiltration (LVI) in rectal cancer based on magnetic resonance (MR) and computed tomography (CT). Methods: A retrospective study was conducted on 94 patients with histologically… read more here.
Keywords: multimodal radiomics; preoperative prediction; rectal cancer; radiomics model ... See more keywords
A Novel Multimodal Radiomics Model for Predicting Prognosis of Resected Hepatocellular Carcinoma
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.745258
Abstract: Objective To explore a new model to predict the prognosis of liver cancer based on MRI and CT imaging data. Methods A retrospective study of 103 patients with histologically proven hepatocellular carcinoma (HCC) was conducted.… read more here.
Keywords: hepatocellular carcinoma; prognosis; multimodal radiomics; radiomics model ... See more keywords
Longitudinal and Multimodal Radiomics Models for Head and Neck Cancer Outcome Prediction
Sign Up to like & getrecommendations! Published in 2023 at "Cancers"
DOI: 10.3390/cancers15030673
Abstract: Simple Summary Machine learning based radiomics models for prediction of loco-regional recurrence today mostly rely on features extracted from pre-treatment imaging data. In this work, we investigate the predictive ability of such models when imaging… read more here.
Keywords: head neck; fdg pet; radiomics models; multimodal radiomics ... See more keywords