Cargando…
Predictive model for the intraoperative unresectability of hilar cholangiocarcinoma: Reducing futile surgical exploration
INTRODUCTION: Surgical exploration is widely performed in hilar cholangiocarcinoma (HCCA), but the intraoperative resectability rate is only 60%-80%. Exploration substantially increases pain and mental stress, and the costs and length of hospital stay are considerably increased. Identifying preopera...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007352/ https://www.ncbi.nlm.nih.gov/pubmed/35417458 http://dx.doi.org/10.1371/journal.pone.0258522 |
_version_ | 1784686828894289920 |
---|---|
author | Song, Jinglin Lei, Xiaofeng Lin, Heng Dai, Haisu Liu, Xingchao Jiang, Yan Hu, Feng Li, Yuancheng Fan, Haining Zhang, Leida Chen, Zhiyu Zhang, Chengcheng |
author_facet | Song, Jinglin Lei, Xiaofeng Lin, Heng Dai, Haisu Liu, Xingchao Jiang, Yan Hu, Feng Li, Yuancheng Fan, Haining Zhang, Leida Chen, Zhiyu Zhang, Chengcheng |
author_sort | Song, Jinglin |
collection | PubMed |
description | INTRODUCTION: Surgical exploration is widely performed in hilar cholangiocarcinoma (HCCA), but the intraoperative resectability rate is only 60%-80%. Exploration substantially increases pain and mental stress, and the costs and length of hospital stay are considerably increased. Identifying preoperative risk factors associated with unresectability could decrease unnecessary exploration. MATERIALS AND METHODS: In total, 440 HCCA patients from multiple centers were enrolled. Those receiving surgical exploration were divided into the resected and unresected groups. Morphological variables including Bismuth classification, lymph node metastasis and vessel invasion were obtained from radiological exams. Logistic regression for the training cohort was used to identify risk factors for unresectability, and a nomogram was constructed to calculate the unresectability rate. A calibration curve assessed the power of the nomogram. RESULTS: Among 311 patients receiving surgical exploration, 45 (14.7%) were unresectable by intraoperative judgment. Compared with the resected group, unresected patients had similar costs (p = 0.359) and lengths of hospital stay (p = 0.439). Multivariable logistic regression of the training cohort (235 patients) revealed that CA125, Bismuth-Corlette type IV, lymph node metastasis and hepatic artery invasion were risk factors for unresectability. Liver atrophy (p = 0.374) and portal vein invasion (p = 0.114) were not risk factors. The nomogram was constructed based on the risk factors. The concordance index (C-index) values of the calibration curve for predicting the unresectability rate of the training and validation (76 patients) cohorts were 0.900 (95% CI, 0.835–0.966) and 0.829 (95% CI, 0.546–0.902), respectively. CONCLUSION: Analysis of preoperative factors could reveal intraoperative unresectability and reduce futile surgical explorations, ultimately benefiting HCCA patients. |
format | Online Article Text |
id | pubmed-9007352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90073522022-04-14 Predictive model for the intraoperative unresectability of hilar cholangiocarcinoma: Reducing futile surgical exploration Song, Jinglin Lei, Xiaofeng Lin, Heng Dai, Haisu Liu, Xingchao Jiang, Yan Hu, Feng Li, Yuancheng Fan, Haining Zhang, Leida Chen, Zhiyu Zhang, Chengcheng PLoS One Research Article INTRODUCTION: Surgical exploration is widely performed in hilar cholangiocarcinoma (HCCA), but the intraoperative resectability rate is only 60%-80%. Exploration substantially increases pain and mental stress, and the costs and length of hospital stay are considerably increased. Identifying preoperative risk factors associated with unresectability could decrease unnecessary exploration. MATERIALS AND METHODS: In total, 440 HCCA patients from multiple centers were enrolled. Those receiving surgical exploration were divided into the resected and unresected groups. Morphological variables including Bismuth classification, lymph node metastasis and vessel invasion were obtained from radiological exams. Logistic regression for the training cohort was used to identify risk factors for unresectability, and a nomogram was constructed to calculate the unresectability rate. A calibration curve assessed the power of the nomogram. RESULTS: Among 311 patients receiving surgical exploration, 45 (14.7%) were unresectable by intraoperative judgment. Compared with the resected group, unresected patients had similar costs (p = 0.359) and lengths of hospital stay (p = 0.439). Multivariable logistic regression of the training cohort (235 patients) revealed that CA125, Bismuth-Corlette type IV, lymph node metastasis and hepatic artery invasion were risk factors for unresectability. Liver atrophy (p = 0.374) and portal vein invasion (p = 0.114) were not risk factors. The nomogram was constructed based on the risk factors. The concordance index (C-index) values of the calibration curve for predicting the unresectability rate of the training and validation (76 patients) cohorts were 0.900 (95% CI, 0.835–0.966) and 0.829 (95% CI, 0.546–0.902), respectively. CONCLUSION: Analysis of preoperative factors could reveal intraoperative unresectability and reduce futile surgical explorations, ultimately benefiting HCCA patients. Public Library of Science 2022-04-13 /pmc/articles/PMC9007352/ /pubmed/35417458 http://dx.doi.org/10.1371/journal.pone.0258522 Text en © 2022 Song et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Song, Jinglin Lei, Xiaofeng Lin, Heng Dai, Haisu Liu, Xingchao Jiang, Yan Hu, Feng Li, Yuancheng Fan, Haining Zhang, Leida Chen, Zhiyu Zhang, Chengcheng Predictive model for the intraoperative unresectability of hilar cholangiocarcinoma: Reducing futile surgical exploration |
title | Predictive model for the intraoperative unresectability of hilar cholangiocarcinoma: Reducing futile surgical exploration |
title_full | Predictive model for the intraoperative unresectability of hilar cholangiocarcinoma: Reducing futile surgical exploration |
title_fullStr | Predictive model for the intraoperative unresectability of hilar cholangiocarcinoma: Reducing futile surgical exploration |
title_full_unstemmed | Predictive model for the intraoperative unresectability of hilar cholangiocarcinoma: Reducing futile surgical exploration |
title_short | Predictive model for the intraoperative unresectability of hilar cholangiocarcinoma: Reducing futile surgical exploration |
title_sort | predictive model for the intraoperative unresectability of hilar cholangiocarcinoma: reducing futile surgical exploration |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007352/ https://www.ncbi.nlm.nih.gov/pubmed/35417458 http://dx.doi.org/10.1371/journal.pone.0258522 |
work_keys_str_mv | AT songjinglin predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT leixiaofeng predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT linheng predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT daihaisu predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT liuxingchao predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT jiangyan predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT hufeng predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT liyuancheng predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT fanhaining predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT zhangleida predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT chenzhiyu predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration AT zhangchengcheng predictivemodelfortheintraoperativeunresectabilityofhilarcholangiocarcinomareducingfutilesurgicalexploration |