Development of a Novel Intra-Operative Score to Record Diseases’ Anatomic Fingerprints (ANAFI Score) for the Prediction of Complete Cytoreduction in Advanced-Stage Ovarian Cancer by Using Machine Learning and Explainable Artificial Intelligence

Development of a Novel Intra-Operative Score to Record Diseases’ Anatomic Fingerprints (ANAFI Score) for the Prediction of Complete Cytoreduction in Advanced-Stage Ovarian Cancer by Using Machine Learning and Explainable Artificial Intelligence

Background: The Peritoneal Carcinomatosis Index (PCI) and the Intra-operative Mapping for Ovarian Cancer (IMO), to a lesser extent, have been universally validated in advanced-stage epithelial ovarian cancer (EOC) to describe the extent of peritoneal dissemination and are proven to be powerful predi...

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Bibliographic Details
Main Authors: Alexandros Laios, Evangelos Kalampokis, Racheal Johnson, Sarika Munot, Amudha Thangavelu, Richard Hutson, Tim Broadhead, Georgios Theophilou, David Nugent, Diederick De Jong
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Cancers
Subjects:
epithelial ovarian cancer
complete cytoreduction
anatomic fingerprints
peritoneal carcinomatosis index
intra-operative mapping
machine learning
Online Access:https://www.mdpi.com/2072-6694/15/3/966

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https://www.mdpi.com/2072-6694/15/3/966

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