Preoperative prediction of post hepatectomy liver failure after surgery for hepatocellular carcinoma on CT-scan by machine learning and radiomics analyses.

Date publication

novembre 2024

Journal

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology

Auteurs

Membres identifiés du Cancéropôle Est :
Pr MARESCAUX Jacques

Tous les auteurs :
Famularo S, Maino C, Milana F, Ardito F, Rompianesi G, Ciulli C, Conci S, Gallotti A, La Barba G, Romano M, De Angelis M, Patauner S, Penzo C, De Rose AM, Marescaux J, Diana M, Ippolito D, Frena A, Boccia L, Zanus G, Ercolani G, Maestri M, Grazi GL, Ruzzenente A, Romano F, Troisi RI, Giuliante F, Donadon M, Torzilli G

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/39592285

Résumé

No instruments are available to predict preoperatively the risk of posthepatectomy liver failure (PHLF) in HCC patients. The aim was to predict the occurrence of PHLF preoperatively by radiomics and clinical data through machine-learning algorithms.

Référence

Eur J Surg Oncol. 2024 11 15;:109462