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

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...

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מידע ביבליוגרפי

Principais autores:	Azadeh Tabari, Brian D’Amore, Janice Noh, Michael S. Gee, Dania Daye
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Open Exploration Publishing Inc. 2024-02-01
סדרה:	Exploration of Targeted Anti-tumor Therapy
נושאים:	colorectal cancer peritumoral texture features imaging biomarkers survival
גישה מקוונת:	https://www.explorationpub.com/Journals/etat/Article/1002205
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!