Giulia Spagnol, Sofia Bigardi, Michela Zorzi, Matteo Morotti, Massimo Carollo, Giulia Micol Bruni, Orazio De Tommasi, Matteo Tamagnini, Livia Xhindoli, Marco Noventa, Roberto Tozzi, Carlo Saccardi, Matteo Marchetti
{"title":"用Δ-腹膜癌指数(Δ-PCI)预测卵巢癌完全细胞减灭术和组织病理学对新辅助化疗的反应","authors":"Giulia Spagnol, Sofia Bigardi, Michela Zorzi, Matteo Morotti, Massimo Carollo, Giulia Micol Bruni, Orazio De Tommasi, Matteo Tamagnini, Livia Xhindoli, Marco Noventa, Roberto Tozzi, Carlo Saccardi, Matteo Marchetti","doi":"10.3390/jcm13226915","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objectives:</b> To analyze the role of PCI variation (Δ-PCI) before and after neoadjuvant chemotherapy (NACT) in an interval cytoreductive surgery (ICS) setting with the aim to propose a scoring model for predicting both complete cytoreduction and histopathologic response. <b>Methods:</b> A total of 50 consecutive patients who underwent ICS at our institution were prospectively collected between January-2020 and December-2023. PCI was assessed at exploratory surgery and at ICS. The clinical and histopathological response to NACT was determined by Δ-PCI and CRS. A cut-off value for Δ-PCI, to predict complete cytoreduction, histopathological response, and both together, was identified using a receiver operating characteristic (ROC) curve. The Kaplan-Meier test was used to define disease-free survival (DFS) based on the Δ-PCI cut-off value. <b>Results:</b> Complete cytoreduction was achieved in 82% of patients, with a median Δ-PCI score at ICS of 12 (range 7-29). The remaining 18% had a median Δ-PCI score at IDS of 8 (range 4-11). The best predictor of complete cytoreduction, histopathologic response CRS 3, and both was the Δ-PCI score, with an area under the curve (AUC) of 0.85 (0.73-0.96), 0.98 (0.94-1.00) and 0.88 (0.75-0.96), respectively; ROC curve analysis determined a Δ-PCI cut-off of 8, 17 and 15, respectively. Δ-PCI ≥ 15 as a predictor for both complete cytoreduction and histopathologic response CRS 3 with a median DFS of 26 months for Δ-PCI ≥ 15 versus 12 months for Δ-PCI < 15 (<i>p</i> = 0.02). <b>Conclusions:</b> Δ-PCI (cut-off ≥ 15) is a predictive model for complete cytoreduction, histological response CRS 3, and improved DFS.</p>","PeriodicalId":15533,"journal":{"name":"Journal of Clinical Medicine","volume":"13 22","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Δ-Peritoneal Cancer Index (Δ-PCI) to Predict Complete Cytoreduction and Histopathological Response to Neoadjuvant Chemotherapy in Ovarian Cancer.\",\"authors\":\"Giulia Spagnol, Sofia Bigardi, Michela Zorzi, Matteo Morotti, Massimo Carollo, Giulia Micol Bruni, Orazio De Tommasi, Matteo Tamagnini, Livia Xhindoli, Marco Noventa, Roberto Tozzi, Carlo Saccardi, Matteo Marchetti\",\"doi\":\"10.3390/jcm13226915\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objectives:</b> To analyze the role of PCI variation (Δ-PCI) before and after neoadjuvant chemotherapy (NACT) in an interval cytoreductive surgery (ICS) setting with the aim to propose a scoring model for predicting both complete cytoreduction and histopathologic response. <b>Methods:</b> A total of 50 consecutive patients who underwent ICS at our institution were prospectively collected between January-2020 and December-2023. PCI was assessed at exploratory surgery and at ICS. The clinical and histopathological response to NACT was determined by Δ-PCI and CRS. A cut-off value for Δ-PCI, to predict complete cytoreduction, histopathological response, and both together, was identified using a receiver operating characteristic (ROC) curve. The Kaplan-Meier test was used to define disease-free survival (DFS) based on the Δ-PCI cut-off value. <b>Results:</b> Complete cytoreduction was achieved in 82% of patients, with a median Δ-PCI score at ICS of 12 (range 7-29). The remaining 18% had a median Δ-PCI score at IDS of 8 (range 4-11). The best predictor of complete cytoreduction, histopathologic response CRS 3, and both was the Δ-PCI score, with an area under the curve (AUC) of 0.85 (0.73-0.96), 0.98 (0.94-1.00) and 0.88 (0.75-0.96), respectively; ROC curve analysis determined a Δ-PCI cut-off of 8, 17 and 15, respectively. Δ-PCI ≥ 15 as a predictor for both complete cytoreduction and histopathologic response CRS 3 with a median DFS of 26 months for Δ-PCI ≥ 15 versus 12 months for Δ-PCI < 15 (<i>p</i> = 0.02). <b>Conclusions:</b> Δ-PCI (cut-off ≥ 15) is a predictive model for complete cytoreduction, histological response CRS 3, and improved DFS.</p>\",\"PeriodicalId\":15533,\"journal\":{\"name\":\"Journal of Clinical Medicine\",\"volume\":\"13 22\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3390/jcm13226915\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/jcm13226915","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Δ-Peritoneal Cancer Index (Δ-PCI) to Predict Complete Cytoreduction and Histopathological Response to Neoadjuvant Chemotherapy in Ovarian Cancer.
Objectives: To analyze the role of PCI variation (Δ-PCI) before and after neoadjuvant chemotherapy (NACT) in an interval cytoreductive surgery (ICS) setting with the aim to propose a scoring model for predicting both complete cytoreduction and histopathologic response. Methods: A total of 50 consecutive patients who underwent ICS at our institution were prospectively collected between January-2020 and December-2023. PCI was assessed at exploratory surgery and at ICS. The clinical and histopathological response to NACT was determined by Δ-PCI and CRS. A cut-off value for Δ-PCI, to predict complete cytoreduction, histopathological response, and both together, was identified using a receiver operating characteristic (ROC) curve. The Kaplan-Meier test was used to define disease-free survival (DFS) based on the Δ-PCI cut-off value. Results: Complete cytoreduction was achieved in 82% of patients, with a median Δ-PCI score at ICS of 12 (range 7-29). The remaining 18% had a median Δ-PCI score at IDS of 8 (range 4-11). The best predictor of complete cytoreduction, histopathologic response CRS 3, and both was the Δ-PCI score, with an area under the curve (AUC) of 0.85 (0.73-0.96), 0.98 (0.94-1.00) and 0.88 (0.75-0.96), respectively; ROC curve analysis determined a Δ-PCI cut-off of 8, 17 and 15, respectively. Δ-PCI ≥ 15 as a predictor for both complete cytoreduction and histopathologic response CRS 3 with a median DFS of 26 months for Δ-PCI ≥ 15 versus 12 months for Δ-PCI < 15 (p = 0.02). Conclusions: Δ-PCI (cut-off ≥ 15) is a predictive model for complete cytoreduction, histological response CRS 3, and improved DFS.
期刊介绍:
Journal of Clinical Medicine (ISSN 2077-0383), is an international scientific open access journal, providing a platform for advances in health care/clinical practices, the study of direct observation of patients and general medical research. This multi-disciplinary journal is aimed at a wide audience of medical researchers and healthcare professionals.
Unique features of this journal:
manuscripts regarding original research and ideas will be particularly welcomed.JCM also accepts reviews, communications, and short notes.
There is no limit to publication length: our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible.