Quantitative peritumoral magnetic resonance imaging fingerprinting improves machine learning-based prediction of overall survival in colorectal cancer

• Main Authors: Azadeh Tabari (Author), Brian D'Amore (Author), Janice Noh (Author), Michael S. Gee (Author), Dania Daye (Author)
• 格式: 圖書
• 出版: Open Exploration Publishing Inc., 2024-02-01T00:00:00Z.
• 主題: article
• 在線閱讀: Connect to this object online.

Aim: To investigate magnetic resonance imaging (MRI)-based peritumoral texture features as prognostic indicators of survival in patients with colorectal liver metastasis (CRLM). Methods: From 2007-2015, forty-eight patients who underwent MRI within 3 months prior to initiating treatment for CRLM wer...