Retrospective Study
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Oncol. Aug 24, 2022; 13(8): 702-711
Published online Aug 24, 2022. doi: 10.5306/wjco.v13.i8.702
Computer-aided clinical image analysis as a predictor of sentinel lymph node positivity in cutaneous melanoma
Marios Papadakis, Alexandros Paschos, Andreas S Papazoglou, Andreas Manios, Hubert Zirngibl, Georgios Manios, Dimitra Koumaki
Marios Papadakis, Hubert Zirngibl, Department of Surgery II, University of Witten-Herdecke, Wuppertal 42283, Germany
Alexandros Paschos, Department of Dermatology, Helios St. Elisabeth Hospital Oberhausen, Oberhausen 46045, Germany
Andreas S Papazoglou, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
Andreas Manios, Department of Surgical Oncology, University Hospital of Heraklion, Heraklion 71110, Greece
Georgios Manios, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia 35131, Greece
Dimitra Koumaki, Department of Dermatology, University Hospital of Heraklion, Heraklion 71110, Greece
Author contributions: Papadakis M designed the research, performed the research, analyzed the data and wrote the paper; Paschos A participated in the data collection; Papazoglou A analyzed the data, Manios A contributed a new software used for the study; Zirngibl H contributed literature sources; Manios G analyzed the data; Koumaki D designed the research, performed the research, analyzed the data and wrote the paper; All authors reviewed and approved the final manuscript.
Institutional review board statement: The study was approved from the Ethics Committee of University Witten/Herdecke and was performed in accordance with institutional guidelines. Written informed consent was waived for retrospective study participation.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: All authors declare no conflicts of interest.
Data sharing statement: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Marios Papadakis, MD, MSc, PhD, Research Scientist, Surgeon, Department of Surgery II, University of Witten-Herdecke, Heusnerstrasse 40, Wuppertal 42283, Germany. marios_papadakis@yahoo.gr
Received: February 28, 2022
Peer-review started: February 28, 2022
First decision: May 31, 2022
Revised: June 24, 2022
Accepted: July 26, 2022
Article in press: July 26, 2022
Published online: August 24, 2022
Processing time: 176 Days and 0.2 Hours
Core Tip

Core Tip: Computer-aided image analysis can facilitate prediction of sentinel lymph-node positivity. Several color, sharpness and geometry parameters can predict positive lymph node occurrence, while color texture cannot determine sentinel lymph node positivity.