Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/1744
Title: | Exploring the Potential Role of Upper Abdominal Peritonectomy in Advanced Ovarian Cancer Cytoreductive Surgery Using Explainable Artificial Intelligence |
Authors: | Laios, Alexandros Kalampokis, Evangelos Mamalis, Marios Evangelos Thangavelu, Amudha Hutson, Richard Broadhead, Tim Nugent, David De Jong, Diederick |
Type: | Article |
Subjects: | FRASCATI::Medical and Health sciences FRASCATI::Engineering and technology |
Keywords: | epithelial ovarian cancer complete cytoreduction upper abdominal peritonectomy machine learning explainable artificial intelligence survival |
Issue Date: | Nov-2023 |
Source: | Cancers |
Volume: | 15 |
Issue: | 22 |
First Page: | 5386 |
Abstract: | The Surgical Complexity Score (SCS) has been widely used to reflect the surgical effort during advanced stage epithelial ovarian cancer (EOC) cytoreduction. However, not all surgical procedures are described by this score. Using artificial intelligence, we developed and explained an algorithm that weighted the importance of all surgical procedures for the prediction of complete cytoreduction (CC0). We identified upper abdominal peritonectomy (UAP) as the most salient procedural predictor of CC0, followed by pelvic and para-aortic lymph node dissection and ileocecal resection/right hemicolectomy. The UAP was predictive of poorer progression-free survival but not overall survival. The SCS did not impact survival. We advocate thorough early inspection of the upper abdominal quadrants to ensure that CC0 is achievable. |
URI: | https://doi.org/10.3390/cancers15225386 https://ruomo.lib.uom.gr/handle/7000/1744 |
ISSN: | 2072-6694 |
Other Identifiers: | 10.3390/cancers15225386 |
Appears in Collections: | Department of Business Administration |
Files in This Item:
File | Description | Size | Format | |
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cancers-15-05386.pdf | 1,86 MB | Adobe PDF | View/Open |
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