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dc.contributor.authorCLIMENT MARTÍ, MARIA TERESA
dc.contributor.authorSerra Rubert, Anna
dc.contributor.authorGilabert-Estellés, Juan
dc.contributor.authorGilabert-Aguilar, Juan
dc.contributor.authorLlueca, Antoni
dc.date.accessioned2022-03-10T08:01:53Z
dc.date.available2022-03-10T08:01:53Z
dc.date.issued2021-06-09
dc.identifier.citationCliment, María T., Anna Serra, Juan Gilabert-Estellés, Juan Gilabert-Aguilar, and Antoni Llueca. 2021. "Comparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignancies" Journal of Clinical Medicine 10, no. 12: 2553. https://doi.org/10.3390/jcm10122553ca_CA
dc.identifier.issn2077-0383
dc.identifier.urihttp://hdl.handle.net/10234/196986
dc.description.abstractObjective: 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.ca_CA
dc.format.extent12 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfJ. Clin. Med. 2021, 10(12), 2553; https://doi.org/10.3390/jcm10122553ca_CA
dc.rights: © 2021 by the authors. 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/).ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/ca_CA
dc.subjectlaparoscopyca_CA
dc.subjectperitoneal carcinomatosisca_CA
dc.subjectPCIca_CA
dc.subjectFagotti indexca_CA
dc.subjectresecabilityca_CA
dc.titleComparison of Peritoneal Carcinomatosis Scoring Methods in Predicting Resectability and Prognosis in Gynecologic Malignanciesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/jcm10122553
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameMedtronic University Chair for Training and Surgical Researchca_CA
project.funder.nameUniversitat Jaume Ica_CA
project.funder.nameInstituto de Salud Carlos IIIca_CA
oaire.awardNumberPI17/01945ca_CA


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: © 2021 by the authors.
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/).
Excepto si se señala otra cosa, la licencia del ítem se describe como: : © 2021 by the authors. 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/).