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Predictors for selective flexure mobilization during robotic anterior resection for rectal cancer: a prospective cohort analysis
INTRODUCTION: Splenic flexure mobilization (SFM) may be indicated during anterior resection to provide a tension-free anastomosis. However, to date, no score allows identifying patients who may benefit from SFM. METHODS: Patients who underwent robotic anterior resection for rectal cancer were identi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322756/ https://www.ncbi.nlm.nih.gov/pubmed/37010604 http://dx.doi.org/10.1007/s00464-023-10008-x |
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author | Meyer, Jeremy van der Schelling, George Wijsman, Jan Ris, Frédéric Crolla, Rogier |
author_facet | Meyer, Jeremy van der Schelling, George Wijsman, Jan Ris, Frédéric Crolla, Rogier |
author_sort | Meyer, Jeremy |
collection | PubMed |
description | INTRODUCTION: Splenic flexure mobilization (SFM) may be indicated during anterior resection to provide a tension-free anastomosis. However, to date, no score allows identifying patients who may benefit from SFM. METHODS: Patients who underwent robotic anterior resection for rectal cancer were identified from a prospective register. Demographic and cancer-related variables were extracted, and predictors of SFM were identified using regression models. Thereafter, 20 patients with SFM and 20 patients without SFM were randomly selected and their pre-operative CTscan were reviewed. The radiological index was defined as 1/(sigmoid length/pelvis depth). The optimal cut-off value for predicting SFM was identified using ROC curve analysis. RESULTS: Five hundred and twenty-four patients were included. SFM was performed in 121 patients (27.8%) and increased operative time by 21.8 min (95% CI: 11.3 to 32.4, p < 0.001). The incidence of postoperative complications did not differ between patient with or without SFM. Realization of an anastomosis was the main predictor for SFM (OR: 42.4, 95% CI: 5.8 to 308.5, p < 0.001). In patients with colorectal anastomosis, both sigmoid length (15 ± 5.1 cm versus 24.2 ± 80.9 cm, p < 0.001) and radiological index (1 ± 0.3 versus 0.6 ± 0.2, p < 0.001) differed between patients who had SFM and patients who did not. ROC curve analysis of the radiological index indicated an optimal cut-off value of 0.8 (sensitivity: 75%, specificity: 90%). CONCLUSION: SFM was performed in 27.8% of patients who underwent robotic anterior resection, and increased operative time by 21.8 min. For optimal surgical planning, patients requiring SFM can be identified based on pre-operative CT using the index 1/(sigmoid length/pelvis depth) with a cut-off value set at 0.8. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00464-023-10008-x. |
format | Online Article Text |
id | pubmed-10322756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-103227562023-07-07 Predictors for selective flexure mobilization during robotic anterior resection for rectal cancer: a prospective cohort analysis Meyer, Jeremy van der Schelling, George Wijsman, Jan Ris, Frédéric Crolla, Rogier Surg Endosc Article INTRODUCTION: Splenic flexure mobilization (SFM) may be indicated during anterior resection to provide a tension-free anastomosis. However, to date, no score allows identifying patients who may benefit from SFM. METHODS: Patients who underwent robotic anterior resection for rectal cancer were identified from a prospective register. Demographic and cancer-related variables were extracted, and predictors of SFM were identified using regression models. Thereafter, 20 patients with SFM and 20 patients without SFM were randomly selected and their pre-operative CTscan were reviewed. The radiological index was defined as 1/(sigmoid length/pelvis depth). The optimal cut-off value for predicting SFM was identified using ROC curve analysis. RESULTS: Five hundred and twenty-four patients were included. SFM was performed in 121 patients (27.8%) and increased operative time by 21.8 min (95% CI: 11.3 to 32.4, p < 0.001). The incidence of postoperative complications did not differ between patient with or without SFM. Realization of an anastomosis was the main predictor for SFM (OR: 42.4, 95% CI: 5.8 to 308.5, p < 0.001). In patients with colorectal anastomosis, both sigmoid length (15 ± 5.1 cm versus 24.2 ± 80.9 cm, p < 0.001) and radiological index (1 ± 0.3 versus 0.6 ± 0.2, p < 0.001) differed between patients who had SFM and patients who did not. ROC curve analysis of the radiological index indicated an optimal cut-off value of 0.8 (sensitivity: 75%, specificity: 90%). CONCLUSION: SFM was performed in 27.8% of patients who underwent robotic anterior resection, and increased operative time by 21.8 min. For optimal surgical planning, patients requiring SFM can be identified based on pre-operative CT using the index 1/(sigmoid length/pelvis depth) with a cut-off value set at 0.8. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00464-023-10008-x. Springer US 2023-04-03 2023 /pmc/articles/PMC10322756/ /pubmed/37010604 http://dx.doi.org/10.1007/s00464-023-10008-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Meyer, Jeremy van der Schelling, George Wijsman, Jan Ris, Frédéric Crolla, Rogier Predictors for selective flexure mobilization during robotic anterior resection for rectal cancer: a prospective cohort analysis |
title | Predictors for selective flexure mobilization during robotic anterior resection for rectal cancer: a prospective cohort analysis |
title_full | Predictors for selective flexure mobilization during robotic anterior resection for rectal cancer: a prospective cohort analysis |
title_fullStr | Predictors for selective flexure mobilization during robotic anterior resection for rectal cancer: a prospective cohort analysis |
title_full_unstemmed | Predictors for selective flexure mobilization during robotic anterior resection for rectal cancer: a prospective cohort analysis |
title_short | Predictors for selective flexure mobilization during robotic anterior resection for rectal cancer: a prospective cohort analysis |
title_sort | predictors for selective flexure mobilization during robotic anterior resection for rectal cancer: a prospective cohort analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322756/ https://www.ncbi.nlm.nih.gov/pubmed/37010604 http://dx.doi.org/10.1007/s00464-023-10008-x |
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