Preoperative identification of early extrahepatic recurrence after hepatectomy for colorectal liver metastases: A machine learning approach.
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| Title: | Preoperative identification of early extrahepatic recurrence after hepatectomy for colorectal liver metastases: A machine learning approach. |
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| Authors: | Kawashima J; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA.; Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan., Endo Y; Department of Surgery, University of Rochester, Rochester, New York, USA., Woldesenbet S; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA., Chatzipanagiotou OP; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA., Tsilimigras DI; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA., Catalano G; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA.; Department of Surgery, University of Verona, Verona, Italy., Khan MMM; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA., Rashid Z; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA., Khalil M; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA., Altaf A; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA., Munir MM; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA., Guglielmi A; Department of Surgery, University of Verona, Verona, Italy., Ruzzenente A; Department of Surgery, University of Verona, Verona, Italy., Aldrighetti L; Department of Surgery, Ospedale San Raffaele, Milan, Italy., Alexandrescu S; Department of Surgery, Fundeni Clinical Institute, Bucharest, Romania., Kitago M; Department of Surgery, Keio University, Tokyo, Japan., Poultsides G; Department of Surgery, Stanford University, Stanford, California, USA., Sasaki K; Department of Surgery, Stanford University, Stanford, California, USA., Aucejo F; Department of General Surgery, Cleveland Clinic Foundation, Cleveland, Ohio, USA., Endo I; Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan., Pawlik TM; Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA. |
| Source: | World journal of surgery [World J Surg] 2024 Nov; Vol. 48 (11), pp. 2760-2771. Date of Electronic Publication: 2024 Oct 19. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 7704052 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2323 (Electronic) Linking ISSN: 03642313 NLM ISO Abbreviation: World J Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-2323 |
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| DOI: | 10.1002/wjs.12376 |
