A Novel Machine-Learning Approach to Predict Recurrence After Resection of Colorectal Liver Metastases-Reference-Cited by-同舟云学术

A Novel Machine-Learning Approach to Predict Recurrence After Resection of Colorectal Liver Metastases

Published:2020-08-10 Issue:13 Volume:27 Page:5139-5147
ISSN:1068-9265
Container-title:Annals of Surgical Oncology
language:en
Short-container-title:Ann Surg Oncol

Author:

Paredes Anghela Z.,Hyer J. Madison,Tsilimigras Diamantis I.,Moro Amika,Bagante Fabio,Guglielmi Alfredo,Ruzzenente Andrea,Alexandrescu Sorin,Makris Eleftherios A.,Poultsides George A.,Sasaki Kazunari,Aucejo Federico N.,Pawlik Timothy M.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Surgery

Link

https://link.springer.com/content/pdf/10.1245/s10434-020-08991-9.pdf

Reference38 articles.

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3. Engstrand J, Nilsson H, Stromberg C, Jonas E, Freedman J. Colorectal cancer liver metastases: a population-based study on incidence, management, and survival. BMC Cancer. 2018;18:78.

4. Sahara K, Tsilimigras DI, Paredes AZ, et al. Development and validation of a real-time mortality risk calculator before, during, and after hepatectomy: an analysis of the ACS NSQIP database. HPB Oxford. 2019.

5. Fong Y, Fortner J, Sun RL, Brennan MF, Blumgart LH. Clinical score for predicting recurrence after hepatic resection for metastatic colorectal cancer: Analysis of 1001 consecutive cases. Ann Surg. 1999;230:309–18.

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