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Computed tomography based cross-sectional anatomy of the pelvis predicts surgical outcome after rectal cancer surgery

PURPOSE: Narrow pelvis has been considered an adverse factor for postoperative and oncologic outcomes after rectal cancer surgery. The aim of this study was to investigate the validity of using only axial CT scan images to calculate the pelvic cross-sectional area for the prediction of adverse outco...

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Autores principales: Noh, Gyoung Tae, Chung, Soon Sup, Kim, Kwang Ho, Lee, Ryung-Ah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Surgical Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406401/
https://www.ncbi.nlm.nih.gov/pubmed/32802814
http://dx.doi.org/10.4174/astr.2020.99.2.90
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author Noh, Gyoung Tae
Chung, Soon Sup
Kim, Kwang Ho
Lee, Ryung-Ah
author_facet Noh, Gyoung Tae
Chung, Soon Sup
Kim, Kwang Ho
Lee, Ryung-Ah
author_sort Noh, Gyoung Tae
collection PubMed
description PURPOSE: Narrow pelvis has been considered an adverse factor for postoperative and oncologic outcomes after rectal cancer surgery. The aim of this study was to investigate the validity of using only axial CT scan images to calculate the pelvic cross-sectional area for the prediction of adverse outcomes after rectal cancer surgery. METHODS: The medical records of patients who underwent rectal cancer surgery were reviewed and analyzed retrospectively. Axial images of CT scan were used to measure the pelvic cross-sectional area. Pelvic surgical site infection (SSI), positive resection margin, and early local recurrence were adopted as end-points to analyze the impact of pelvimetry on surgical outcome. RESULTS: The mean pelvic cross-sectional area was 84.3 ± 10.9 cm(2). Males had significantly smaller pelvic areas than females (P < 0.001). Comparing pelvic cross-sectional areas according to the surgical outcomes, the results indicated that patients with pelvic SSI and local failure (positive resection margin or local recurrence within 1 year) have significantly smaller cross-sectional-area than SSI and local failure-free patients (P = 0.013 and P = 0.031). A calculated cross-sectional area of 88.8 cm(2) was determined as the cutoff value for the prediction of pelvic SSI and/or local failure, which was significant in a validating analysis. CONCLUSION: The pelvic cross-sectional area obtained from a routine axial CT scan image was associated with pelvic SSI, positive resection margin, and early local recurrence. It might be an intuitive, feasible, and easily adoptable method for predicting surgical outcomes.
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spelling pubmed-74064012020-08-13 Computed tomography based cross-sectional anatomy of the pelvis predicts surgical outcome after rectal cancer surgery Noh, Gyoung Tae Chung, Soon Sup Kim, Kwang Ho Lee, Ryung-Ah Ann Surg Treat Res Original Article PURPOSE: Narrow pelvis has been considered an adverse factor for postoperative and oncologic outcomes after rectal cancer surgery. The aim of this study was to investigate the validity of using only axial CT scan images to calculate the pelvic cross-sectional area for the prediction of adverse outcomes after rectal cancer surgery. METHODS: The medical records of patients who underwent rectal cancer surgery were reviewed and analyzed retrospectively. Axial images of CT scan were used to measure the pelvic cross-sectional area. Pelvic surgical site infection (SSI), positive resection margin, and early local recurrence were adopted as end-points to analyze the impact of pelvimetry on surgical outcome. RESULTS: The mean pelvic cross-sectional area was 84.3 ± 10.9 cm(2). Males had significantly smaller pelvic areas than females (P < 0.001). Comparing pelvic cross-sectional areas according to the surgical outcomes, the results indicated that patients with pelvic SSI and local failure (positive resection margin or local recurrence within 1 year) have significantly smaller cross-sectional-area than SSI and local failure-free patients (P = 0.013 and P = 0.031). A calculated cross-sectional area of 88.8 cm(2) was determined as the cutoff value for the prediction of pelvic SSI and/or local failure, which was significant in a validating analysis. CONCLUSION: The pelvic cross-sectional area obtained from a routine axial CT scan image was associated with pelvic SSI, positive resection margin, and early local recurrence. It might be an intuitive, feasible, and easily adoptable method for predicting surgical outcomes. The Korean Surgical Society 2020-08 2020-07-31 /pmc/articles/PMC7406401/ /pubmed/32802814 http://dx.doi.org/10.4174/astr.2020.99.2.90 Text en Copyright © 2020, the Korean Surgical Society http://creativecommons.org/licenses/by-nc/4.0/ Annals of Surgical Treatment and Research is an Open Access Journal. All articles are distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Noh, Gyoung Tae
Chung, Soon Sup
Kim, Kwang Ho
Lee, Ryung-Ah
Computed tomography based cross-sectional anatomy of the pelvis predicts surgical outcome after rectal cancer surgery
title Computed tomography based cross-sectional anatomy of the pelvis predicts surgical outcome after rectal cancer surgery
title_full Computed tomography based cross-sectional anatomy of the pelvis predicts surgical outcome after rectal cancer surgery
title_fullStr Computed tomography based cross-sectional anatomy of the pelvis predicts surgical outcome after rectal cancer surgery
title_full_unstemmed Computed tomography based cross-sectional anatomy of the pelvis predicts surgical outcome after rectal cancer surgery
title_short Computed tomography based cross-sectional anatomy of the pelvis predicts surgical outcome after rectal cancer surgery
title_sort computed tomography based cross-sectional anatomy of the pelvis predicts surgical outcome after rectal cancer surgery
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406401/
https://www.ncbi.nlm.nih.gov/pubmed/32802814
http://dx.doi.org/10.4174/astr.2020.99.2.90
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