Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection fo...
Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection for BCLC-0, A and B Hepatocellular Carcinoma: Implications for Resection Beyond the BCLC Guidelines
About this item
Full title
Author / Creator
Tsilimigras, Diamantis I. , Mehta, Rittal , Moris, Dimitrios , Sahara, Kota , Bagante, Fabio , Paredes, Anghela Z. , Farooq, Ayesha , Ratti, Francesca , Marques, Hugo P. , Silva, Silvia , Soubrane, Olivier , Lam, Vincent , Poultsides, George A. , Popescu, Irinel , Grigorie, Razvan , Alexandrescu, Sorin , Martel, Guillaume , Workneh, Aklile , Guglielmi, Alfredo , Hugh, Tom , Aldrighetti, Luca , Endo, Itaru and Pawlik, Timothy M.
Publisher
Cham: Springer Science and Business Media LLC
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer Science and Business Media LLC
Subjects
More information
Scope and Contents
Contents
Background
There is an ongoing debate about expanding the resection criteria for hepatocellular carcinoma (HCC) beyond the Barcelona Clinic Liver Cancer (BCLC) guidelines. We sought to determine the factors that held the most prognostic weight in the pre- and postoperative setting for each BCLC stage by applying a machine learning method.
Met...
Alternative Titles
Full title
Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection for BCLC-0, A and B Hepatocellular Carcinoma: Implications for Resection Beyond the BCLC Guidelines
Authors, Artists and Contributors
Author / Creator
Mehta, Rittal
Moris, Dimitrios
Sahara, Kota
Bagante, Fabio
Paredes, Anghela Z.
Farooq, Ayesha
Ratti, Francesca
Marques, Hugo P.
Silva, Silvia
Soubrane, Olivier
Lam, Vincent
Poultsides, George A.
Popescu, Irinel
Grigorie, Razvan
Alexandrescu, Sorin
Martel, Guillaume
Workneh, Aklile
Guglielmi, Alfredo
Hugh, Tom
Aldrighetti, Luca
Endo, Itaru
Pawlik, Timothy M.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2350718795
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2350718795
Other Identifiers
ISSN
1068-9265,1534-4681
E-ISSN
1534-4681
DOI
10.1245/s10434-019-08025-z
