A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients

DI Tsilimigras; R Mehta; D Moris; K Sahara; F Bagante; AZ Paredes; A Moro; A Guglielmi; L Aldrighetti; M Weiss; TW Bauer; S Alexandrescu; GA Poultsides; SK Maithel; HP Marques; G Martel; C Pulitano; F Shen; O Soubrane; B Groot Koerkamp; I Endo; TM Pawlik

doi:10.1245/s10434-019-08067-3

A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients

DI Tsilimigras, R Mehta, D Moris, K Sahara, F Bagante, AZ Paredes, A Moro, A Guglielmi, L Aldrighetti, M Weiss, TW Bauer, S Alexandrescu, GA Poultsides, SK Maithel, HP Marques, G Martel, C Pulitano, F Shen, O Soubrane, B Groot KoerkampI Endo, TM Pawlik

Surgery

Research output: Contribution to journal › Article › Academic › peer-review

59 Citations (Scopus)

Original language	English
Pages (from-to)	1110-1119
Number of pages	10
Journal	Annals of Surgical Oncology
Volume	27
Issue number	4
DOIs	https://doi.org/10.1245/s10434-019-08067-3
Publication status	Published - 2020

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EMC OR-01

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10.1245/s10434-019-08067-3

Cite this

Tsilimigras, DI., Mehta, R., Moris, D., Sahara, K., Bagante, F., Paredes, AZ., Moro, A., Guglielmi, A., Aldrighetti, L., Weiss, M., Bauer, TW., Alexandrescu, S., Poultsides, GA., Maithel, SK., Marques, HP., Martel, G., Pulitano, C., Shen, F., Soubrane, O., ... Pawlik, TM. (2020). A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients. Annals of Surgical Oncology, 27(4), 1110-1119. https://doi.org/10.1245/s10434-019-08067-3

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title = "A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients",

author = "DI Tsilimigras and R Mehta and D Moris and K Sahara and F Bagante and AZ Paredes and A Moro and A Guglielmi and L Aldrighetti and M Weiss and TW Bauer and S Alexandrescu and GA Poultsides and SK Maithel and HP Marques and G Martel and C Pulitano and F Shen and O Soubrane and \{Groot Koerkamp\}, B and I Endo and TM Pawlik",

year = "2020",

doi = "10.1245/s10434-019-08067-3",

language = "English",

volume = "27",

pages = "1110--1119",

journal = "Annals of Surgical Oncology",

issn = "1068-9265",

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Tsilimigras, DI, Mehta, R, Moris, D, Sahara, K, Bagante, F, Paredes, AZ, Moro, A, Guglielmi, A, Aldrighetti, L, Weiss, M, Bauer, TW, Alexandrescu, S, Poultsides, GA, Maithel, SK, Marques, HP, Martel, G, Pulitano, C, Shen, F, Soubrane, O, Groot Koerkamp, B, Endo, I & Pawlik, TM 2020, 'A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients', Annals of Surgical Oncology, vol. 27, no. 4, pp. 1110-1119. https://doi.org/10.1245/s10434-019-08067-3

A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients. / Tsilimigras, DI; Mehta, R; Moris, D et al.
In: Annals of Surgical Oncology, Vol. 27, No. 4, 2020, p. 1110-1119.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients

AU - Tsilimigras, DI

AU - Mehta, R

AU - Moris, D

AU - Sahara, K

AU - Bagante, F

AU - Paredes, AZ

AU - Moro, A

AU - Guglielmi, A

AU - Aldrighetti, L

AU - Weiss, M

AU - Bauer, TW

AU - Alexandrescu, S

AU - Poultsides, GA

AU - Maithel, SK

AU - Marques, HP

AU - Martel, G

AU - Pulitano, C

AU - Shen, F

AU - Soubrane, O

AU - Groot Koerkamp, B

AU - Endo, I

AU - Pawlik, TM

PY - 2020

Y1 - 2020

U2 - 10.1245/s10434-019-08067-3

DO - 10.1245/s10434-019-08067-3

M3 - Article

C2 - 31728792

SN - 1068-9265

VL - 27

SP - 1110

EP - 1119

JO - Annals of Surgical Oncology

JF - Annals of Surgical Oncology

IS - 4

ER -

Tsilimigras DI, Mehta R, Moris D, Sahara K, Bagante F, Paredes AZ et al. A Machine-Based Approach to Preoperatively Identify Patients with the Most and Least Benefit Associated with Resection for Intrahepatic Cholangiocarcinoma: An International Multi-institutional Analysis of 1146 Patients. Annals of Surgical Oncology. 2020;27(4):1110-1119. doi: 10.1245/s10434-019-08067-3