A preoperative nomogram for predicting long-term survival after resection of large hepatocellular carcinoma (>10 cm)

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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...

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Detalles Bibliográficos
Autores: Ruiz-Figueroa, E, Pineau, P, Flores, C, Fernández, R, Cano, L, Cerapio, JP, Casavilca-Zambrano, S, Berrospi, F, Chávez, I, Roche, B, Bertani, S
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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spelling 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
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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
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HPB
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dc.language.iso.none.fl_str_mv eng
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv 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.
dc.source.none.fl_str_mv reponame:INEN-Institucional
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