CT‐based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical Imaging and Radiation Oncology"
DOI: 10.1111/1754-9485.13044
Abstract: Innovative biomarkers to predict treatment response in rectal cancer would be helpful in optimizing personalized treatment approaches. In this study, we aimed to develop and validate a CT‐based radiomic imaging biomarker to predict pathological response. read more here.
Keywords: rectal cancer; response; predict pathological; based radiomic ... See more keywords
A combined nomogram based on radiomics and hematology to predict the pathological complete response of neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma
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DOI: 10.1186/s12885-024-12239-0
Abstract: To predict pathological complete response (pCR) in patients receiving neoadjuvant immunochemotherapy (nICT) for esophageal squamous cell carcinoma (ESCC), we explored the factors that influence pCR after nICT and established a combined nomogram model. We retrospectively… read more here.
Keywords: complete response; pathological complete; hematology; neoadjuvant immunochemotherapy ... See more keywords
CT-based delta-radiomics nomogram to predict pathological complete response after neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma patients
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DOI: 10.1186/s12967-024-05392-4
Abstract: This study developed a nomogram model using CT-based delta-radiomics features and clinical factors to predict pathological complete response (pCR) in esophageal squamous cell carcinoma (ESCC) patients receiving neoadjuvant chemoradiotherapy (nCRT). The study retrospectively analyzed 232… read more here.
Keywords: based delta; complete response; delta radiomics; pathological complete ... See more keywords