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Comparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignancies

Objective: Peritoneal carcinomatosis is a disease’s presentation in the advanced stages of many gynecologic tumours. The distribution and volume of the disease are the main factors in achieving complete debulking. Diagnostic laparoscopy is a technique to allow evaluation of the disease. This study’s...

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Autores principales: Climent, María Teresa, Serra, Anna, Gilabert-Estellés, Juan, Gilabert-Aguilar, Juan, Llueca, Antoni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229310/
https://www.ncbi.nlm.nih.gov/pubmed/34207720
http://dx.doi.org/10.3390/jcm10122553
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author Climent, María Teresa
Serra, Anna
Gilabert-Estellés, Juan
Gilabert-Aguilar, Juan
Llueca, Antoni
author_facet Climent, María Teresa
Serra, Anna
Gilabert-Estellés, Juan
Gilabert-Aguilar, Juan
Llueca, Antoni
author_sort Climent, María Teresa
collection PubMed
description Objective: Peritoneal carcinomatosis is a disease’s presentation in the advanced stages of many gynecologic tumours. The distribution and volume of the disease are the main factors in achieving complete debulking. Diagnostic laparoscopy is a technique to allow evaluation of the disease. This study’s objective is to compare two laparoscopic scores (Fagotti’s index and Sugarbaker’s peritoneal cancer index (PCI)) and assess the diagnostic accuracy to select patients for neoadjuvant treatment and reduce unnecessary laparotomies. Methods: A non-randomised retrospective cohort study was conducted in patients with peritoneal carcinomatosis (ovarian and endometrial origin) who underwent laparoscopy and subsequent laparotomy. We evaluated the scores’ ability to predict incomplete surgery and whether they were related to the patients’ prognosis. Results: We included 34 patients, of which 23.5% received neoadjuvant chemotherapy. The rate of complete cytoreductive surgery was 79.4% (n = 27 patients). The highest sensitivity was obtained with a PCI value greater than 20. It was the best parameter to determine incomplete debulking. Survival curves were analysed according to the “cut off” established for each score, and statically significant differences were found using PCI with respect to Fagotti’s Index. However, these differences were not found with Fagotti’s score. Conclusion: The best diagnostic method to classify patients with peritoneal cancer is the PCI. It could be adapted to each surgical team because it allows identifying the “cut off point”, which depends on incomplete surgery rate.
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spelling pubmed-82293102021-06-26 Comparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignancies Climent, María Teresa Serra, Anna Gilabert-Estellés, Juan Gilabert-Aguilar, Juan Llueca, Antoni J Clin Med Article Objective: Peritoneal carcinomatosis is a disease’s presentation in the advanced stages of many gynecologic tumours. The distribution and volume of the disease are the main factors in achieving complete debulking. Diagnostic laparoscopy is a technique to allow evaluation of the disease. This study’s objective is to compare two laparoscopic scores (Fagotti’s index and Sugarbaker’s peritoneal cancer index (PCI)) and assess the diagnostic accuracy to select patients for neoadjuvant treatment and reduce unnecessary laparotomies. Methods: A non-randomised retrospective cohort study was conducted in patients with peritoneal carcinomatosis (ovarian and endometrial origin) who underwent laparoscopy and subsequent laparotomy. We evaluated the scores’ ability to predict incomplete surgery and whether they were related to the patients’ prognosis. Results: We included 34 patients, of which 23.5% received neoadjuvant chemotherapy. The rate of complete cytoreductive surgery was 79.4% (n = 27 patients). The highest sensitivity was obtained with a PCI value greater than 20. It was the best parameter to determine incomplete debulking. Survival curves were analysed according to the “cut off” established for each score, and statically significant differences were found using PCI with respect to Fagotti’s Index. However, these differences were not found with Fagotti’s score. Conclusion: The best diagnostic method to classify patients with peritoneal cancer is the PCI. It could be adapted to each surgical team because it allows identifying the “cut off point”, which depends on incomplete surgery rate. MDPI 2021-06-09 /pmc/articles/PMC8229310/ /pubmed/34207720 http://dx.doi.org/10.3390/jcm10122553 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Climent, María Teresa
Serra, Anna
Gilabert-Estellés, Juan
Gilabert-Aguilar, Juan
Llueca, Antoni
Comparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignancies
title Comparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignancies
title_full Comparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignancies
title_fullStr Comparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignancies
title_full_unstemmed Comparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignancies
title_short Comparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignancies
title_sort comparison of peritoneal carcinomatosis scoring methods in predicting resectability and prognosis in gynecologic malignancies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229310/
https://www.ncbi.nlm.nih.gov/pubmed/34207720
http://dx.doi.org/10.3390/jcm10122553
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