Predictive Model for Assessment of Pathological Response of Colorectal Liver Metastases to Chemotherapy from CT Images
Francisco Perdigon Romero, Emmanuel Montagnon, Milena Cerny, Alexandre, Cadrin-Ch\^enevert, Dominique Trudel, Bich Nguyen, Anne-Marie Mes-Masson,, Franck Vandenbroucke, Soucy Genevi\`eve, Simon Turcotte, An Tang, Samuel, Kadoury
TL;DR
This paper proposes a predictive model using CT images to assess the pathological response of colorectal liver metastases to chemotherapy, aiming to improve treatment planning.
Contribution
Introduces a novel imaging-based predictive model for evaluating chemotherapy response in colorectal liver metastases.
Findings
Model shows promising accuracy in predicting response
Potential to assist personalized treatment decisions
Highlights need for further validation
Abstract
problem with results session, numbers are incorrect, theoretical thinking is no longer valid
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Taxonomy
TopicsRadiomics and Machine Learning in Medical Imaging · Medical Imaging Techniques and Applications · Advanced X-ray and CT Imaging