Development of an ontology for laparoscopic transabdominal adrenalectomy via a comprehensive modified Delphi survey and its validation on a multicentric pilot data set for surgical training and future video analysis with machine learning algorithms-Reference-Cited by-同舟云学术

Development of an ontology for laparoscopic transabdominal adrenalectomy via a comprehensive modified Delphi survey and its validation on a multicentric pilot data set for surgical training and future video analysis with machine learning algorithms

Published:2024-06 Issue:6 Volume:111 Page:
ISSN:0007-1323
Container-title:British Journal of Surgery
language:en
Short-container-title:

Author:

Seeliger Barbara¹²³⁴^ORCID,Di Lorenzo Sofia⁵⁶,Alesina Pier F⁷,Brunaud Laurent⁸⁹^ORCID,Chiapponi Costanza¹⁰,De Crea Carmela⁶¹¹,Donatini Gianluca¹²¹³,Iacobone Maurizio¹⁴^ORCID,Makay Özer¹⁵^ORCID,Mihai Radu¹⁶^ORCID,Mogl Martina T¹⁷,Mutter Didier¹²³,Padoy Nicolas¹⁴,Palazzo Fausto¹⁸,Vidal Oscar¹⁹,Pennestrí Francesco⁵⁶^ORCID,Marescaux Jacques³,Vix Michel²³,Raffaelli Marco⁵⁶^ORCID

Affiliation:

1. Institute of Image-Guided Surgery, IHU Strasbourg , Strasbourg , France

2. Department of Digestive and Endocrine Surgery, University Hospitals of Strasbourg , Strasbourg , France

3. Research Institute Against Digestive Cancer, IRCAD , Strasbourg , France

4. ICube, UMR7357, CNRS, INSERM U1328 RODIN, Université de Strasbourg , Strasbourg , France

5. Division of Endocrine and Metabolic Surgery, Fondazione Policlinico Universitario Agostino Gemelli—IRCCS , Rome , Italy

6. Centro di Ricerca in Chirurgia delle Ghiandole Endocrine e dell'Obesità, Università Cattolica del Sacro Cuore , Rome , Italy

7. Department of Surgery, Division of Endocrine Surgery, Helios Universitätsklinikum Wuppertal, Universität Witten-Herdecke , Wuppertal , Germany

8. Unit of Endocrine and Metabolic Surgery, Department of Surgery (CVMC), CHU Nancy—Hospital Brabois Adultes, University of Lorraine , Nancy , France

9. Faculty of Medicine, INSERM NGERE/U1256 ‘Nutrition, Genetics, Environmental Risks’ University of Lorraine , Nancy , France

10. Department of General, Visceral, Cancer and Transplant Surgery, University Hospital Cologne , Cologne , Germany

11. Division of Endocrine Surgery, Ospedale Isola Tiberina—Gemelli Isola , Rome , Italy

12. Department of General and Endocrine Surgery, Centre Hospitalier Universitaire de Poitiers , Poitiers , France

13. INSERM U1313-IRMETIST, Université de Poitiers , Poitiers , France

14. Endocrine Surgery Unit, Department of Surgery, Oncology, and Gastroenterology, University Hospital, University of Padua , Padua , Italy

15. Center for Endocrine Surgery, Ozel Saglik Hospital , Izmir , Turkey

16. Department of Endocrine Surgery, Churchill Cancer Centre, Oxford University Hospitals NHS Foundation Trust , Oxford , UK

17. Department of Surgery, CCM | CVK, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin , Berlin , Germany

18. Department of Endocrine Surgery, Hammersmith Hospital, Imperial College Healthcare NHS Trust , London , UK

19. Department of General and Endocrine Surgery, Institute of Digestive and Metabolic Diseases, Hospital Clínic Barcelona, Universitat de Barcelona , Barcelona , Spain

Abstract

Lay Summary Surgical technique is essential to ensure safe minimally invasive adrenalectomy. Due to the relative rarity of adrenal surgery, it is challenging to ensure adequate exposure in surgical training. Surgical video analysis supports auto-evaluation, expert assessment and could be a target for automatization. The developed ontology was validated by a European expert consensus and is applicable across the surgical techniques encountered in all participating centres, with an exemplary demonstration in bi-centric recordings. Standardization of adrenalectomy video analysis may foster surgical training and enable machine learning training for automated safety alerts.

Funder

French National Agency for Research

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/bjs/article-pdf/111/6/znae148/58322194/znae148.pdf