@article{fdi:010090691,
  title = {{A} preoperative risk score based on early recurrence for estimating outcomes after resection of hepatocellular carcinoma in the non-cirrhotic liver},
  author = {{R}uiz, {E}. and {H}onles, {J}. and {F}ernández, {R}. and {U}ribe, {K}. and {C}erapio, {J}. {P}. and {C}ancino, {K}. and {C}ontreras-{M}ancilla, {J}. and {C}asavilca-{Z}ambrano, {S}. and {B}errospi, {F}. and {P}ineau, {P}. and {B}ertani, {S}t{\'e}phane},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {L}iver resection is the mainstay treatment option for patients with hepatocellular carcinoma in the non-cirrhotic liver ({NCL}-{HCC}), but almost half of these patients will experience a recurrence within five years of surgery. {T}herefore, we aimed to develop a rationale-based risk evaluation tool to assist surgeons in recurrence-related treatment planning for {NCL}-{HCC}. {M}ethods: {W}e analyzed single-center data from 263 patients who underwent liver resection for {NCLHCC}. {U}sing machine learning modeling, we first determined an optimal cut-off point to discriminate early versus late relapses based on time to recurrence. {W}e then constructed a risk score based on preoperative variables to forecast outcomes according to recurrence-free survival. {R}esults: {W}e computed an optimal cut-off point for early recurrence at 12 months post-surgery. {W}e identified macroscopic vascular invasion, multifocal tumor, and spontaneous tumor rupture as predictor variables of outcomes associated with early recurrence and integrated them into a scoring system. {W}e thus stratified, with high concordance, three groups of patients on a graduated scale of recurrencerelated survival. {C}onclusion: {W}e constructed a preoperative risk score to estimate outcomes after liver resection in {NCL}-{HCC} patients. {H}ence, this score makes it possible to rationally stratify patients based on recurrence risk assessment for better treatment planning.},
  keywords = {{PEROU}},
  booktitle = {},
  journal = {{HPB}},
  volume = {26},
  numero = {5},
  pages = {691--702},
  ISSN = {1365-182{X}},
  year = {2024},
  DOI = {10.1016/j.hpb.2024.02.010},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090691},
}