A preoperative risk score based on early recurrence for estimating outcomes after resection of hepatocellular carcinoma in the non-cirrhotic liver
Descripción del Articulo
Background: Liver 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. Therefore, we aimed to develop a rationale-based risk evaluation...
| Autores: | , , , , , , , , , , |
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| Formato: | artículo |
| Fecha de Publicación: | 2024 |
| Institución: | Instituto Nacional de Enfermedades Neoplásicas |
| Repositorio: | INEN-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.inen.sld.pe:20.500.14703/385 |
| Enlace del recurso: | https: //doi.org/10.1016/j.hpb.2024.02.010 https://hdl.handle.net/20.500.14703/385 |
| Nivel de acceso: | acceso abierto |
| Materia: | Adult Aged Carcinoma, Hepatocellular Female Hepatectomy Humans Liver Neoplasms Machine Learning Male Middle Aged Neoplasm Recurrence, Local Retrospective Studies Risk Assessment Risk Factors Time Factors Treatment Outcome https://purl.org/pe-repo/ocde/ford#3.02.21 |
| Sumario: | Background: Liver 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. Therefore, we aimed to develop a rationale-based risk evaluation tool to assist surgeons in recurrence-related treatment planning for NCL-HCC. Methods: We analyzed single-center data from 263 patients who underwent liver resection for NCL-HCC. Using machine learning modeling, we first determined an optimal cut-off point to discriminate early versus late relapses based on time to recurrence. We then constructed a risk score based on preoperative variables to forecast outcomes according to recurrence-free survival. Results: We computed an optimal cut-off point for early recurrence at 12 months post-surgery. We 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. We thus stratified, with high concordance, three groups of patients on a graduated scale of recurrence-related survival. Conclusion: We constructed a preoperative risk score to estimate outcomes after liver resection in NCL-HCC patients. Hence, this score makes it possible to rationally stratify patients based on recurrence risk assessment for better treatment planning. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).