A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm)
Descripción del Articulo
Background: It has previously been demonstrated that a fraction of patients with hepatocellular carcinoma (HCC) > 10 cm can benefit from liver resection. However, there is still a lack of effective decision-making tools to inform intervention in these patients. Methods: We analysed a comprehe...
| Autores: | , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2022 |
| Institución: | Instituto Nacional de Enfermedades Neoplásicas |
| Repositorio: | INEN-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.inen.sld.pe:20.500.14703/283 |
| Enlace del recurso: | https://hdl.handle.net/20.500.14703/283 |
| Nivel de acceso: | acceso abierto |
| Materia: | preoperative nomogram large hepatocellular carcinoma https://purl.org/pe-repo/ocde/ford#3.02.21 |
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PublicationRuiz-Figueroa, EPineau, PFlores, CFernández, RCano, LCerapio, JPCasavilca-Zambrano, SBerrospi, FChávez, IRoche, BBertani, S2025-04-02T14:42:10Z2025-04-02T14:42:10Z202210.1016/j.hpb.2021.06.006https://hdl.handle.net/20.500.14703/283HPBBackground: It has previously been demonstrated that a fraction of patients with hepatocellular carcinoma (HCC) > 10 cm can benefit from liver resection. However, there is still a lack of effective decision-making tools to inform intervention in these patients. Methods: We analysed a comprehensive set of clinical data from 234 patients who underwent liver resection for HCC >10 cm at the National Cancer Institute of Peru between 1990 and 2015, monitored their survival, and constructed a nomogram to predict the surgical outcome based on preoperative variables. Results: We identified cirrhosis, multifocality, macroscopic vascular invasion, and spontaneous tumour rupture as independent predictors of survival and integrated them into a nomogram model. The nomogram's ability to forecast survival at 1, 3, and 5 years was subsequently confirmed with high concordance using an internal validation. Through applying this nomogram, we stratified three groups of patients with different survival probabilities. Conclusion: We constructed a preoperative nomogram to predict long-term survival in patients with HCC >10 cm. This nomogram is useful in determining whether a patient with large HCC might truly benefit from liver resection, which is paramount in low- and middle-income countries where HCC is often diagnosed at advanced stages. © 2021 The Author(s)application/pdfengElsevier B.V.UKinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/preoperative nomogramlarge hepatocellular carcinomahttps://purl.org/pe-repo/ocde/ford#3.02.21A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm)info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:INEN-Institucionalinstname:Instituto Nacional de Enfermedades Neoplásicasinstacron:INENORIGINALRuiz; 2022application/pdf1372526https://repositorio.inen.sld.pe/backend/api/core/bitstreams/79717870-377d-4b9a-8720-dc0231d2b016/downloadbf8c036de3f645bd3eff4c0237b4e749MD51trueAnonymousREADTEXTRuiz; 2022.txtWritten by FormatFilter org.dspace.app.mediafilter.TikaTextExtractionFilter on 2025-03-29T20:35:59Z (GMT).Extracted texttext/plain49540https://repositorio.inen.sld.pe/backend/api/core/bitstreams/41565b17-ac30-4307-a01a-af6c54421a0c/downloadd69c5846bd04c8fcd7e6880942af78b0MD54falseAnonymousREADTHUMBNAILRuiz; 2022.jpgWritten by FormatFilter org.dspace.app.mediafilter.PDFBoxThumbnail on 2025-03-29T20:35:59Z (GMT).Generated Thumbnailimage/jpeg37376https://repositorio.inen.sld.pe/backend/api/core/bitstreams/3e574ae9-32dd-44f1-9dc6-8f019129546c/downloadcbe893cbe6ab728ca87fab26bb2531b3MD55falseAnonymousREAD20.500.14703/283oai:repositorio.inen.sld.pe:20.500.14703/2832026-02-17T15:10:26.103Zhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.inen.sld.peRepositorio del Instituto Nacional de Enfermedades Neoplásicasrepositorio@inen.sld.pe |
| dc.title.none.fl_str_mv |
A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm) |
| title |
A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm) |
| spellingShingle |
A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm) Ruiz-Figueroa, E preoperative nomogram large hepatocellular carcinoma https://purl.org/pe-repo/ocde/ford#3.02.21 |
| title_short |
A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm) |
| title_full |
A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm) |
| title_fullStr |
A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm) |
| title_full_unstemmed |
A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm) |
| title_sort |
A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm) |
| author |
Ruiz-Figueroa, E |
| author_facet |
Ruiz-Figueroa, E Pineau, P Flores, C Fernández, R Cano, L Cerapio, JP Casavilca-Zambrano, S Berrospi, F Chávez, I Roche, B Bertani, S |
| author_role |
author |
| author2 |
Pineau, P Flores, C Fernández, R Cano, L Cerapio, JP Casavilca-Zambrano, S Berrospi, F Chávez, I Roche, B Bertani, S |
| author2_role |
author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Ruiz-Figueroa, E Pineau, P Flores, C Fernández, R Cano, L Cerapio, JP Casavilca-Zambrano, S Berrospi, F Chávez, I Roche, B Bertani, S |
| dc.subject.none.fl_str_mv |
preoperative nomogram large hepatocellular carcinoma |
| topic |
preoperative nomogram large hepatocellular carcinoma https://purl.org/pe-repo/ocde/ford#3.02.21 |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#3.02.21 |
| description |
Background: It has previously been demonstrated that a fraction of patients with hepatocellular carcinoma (HCC) > 10 cm can benefit from liver resection. However, there is still a lack of effective decision-making tools to inform intervention in these patients. Methods: We analysed a comprehensive set of clinical data from 234 patients who underwent liver resection for HCC >10 cm at the National Cancer Institute of Peru between 1990 and 2015, monitored their survival, and constructed a nomogram to predict the surgical outcome based on preoperative variables. Results: We identified cirrhosis, multifocality, macroscopic vascular invasion, and spontaneous tumour rupture as independent predictors of survival and integrated them into a nomogram model. The nomogram's ability to forecast survival at 1, 3, and 5 years was subsequently confirmed with high concordance using an internal validation. Through applying this nomogram, we stratified three groups of patients with different survival probabilities. Conclusion: We constructed a preoperative nomogram to predict long-term survival in patients with HCC >10 cm. This nomogram is useful in determining whether a patient with large HCC might truly benefit from liver resection, which is paramount in low- and middle-income countries where HCC is often diagnosed at advanced stages. © 2021 The Author(s) |
| publishDate |
2022 |
| dc.date.accessioned.none.fl_str_mv |
2025-04-02T14:42:10Z |
| dc.date.available.none.fl_str_mv |
2025-04-02T14:42:10Z |
| dc.date.issued.fl_str_mv |
2022 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
| dc.identifier.doi.none.fl_str_mv |
10.1016/j.hpb.2021.06.006 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.14703/283 |
| dc.identifier.journal.none.fl_str_mv |
HPB |
| identifier_str_mv |
10.1016/j.hpb.2021.06.006 HPB |
| url |
https://hdl.handle.net/20.500.14703/283 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier B.V. |
| dc.publisher.country.none.fl_str_mv |
UK |
| publisher.none.fl_str_mv |
Elsevier B.V. |
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Nota importante:
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).