Automated Assessment of Surgical Quality in Distal Gastrectomy: Development of a Novel Computer Vision Model Based on the Critical View of Quality (CVQ).

Jeesun Kim^1,2, Dotan Asselmann³, Tamir Wolf³, Seong-Ho Kong^1,4,5, Do Joong Park^1,4,5, Hyuk-Joon Lee^1,4,5, Gerald Fried⁶, Han-Kwang Yang^1,4,5,7

¹Department of Surgery, Seoul National University Hospital, Seoul, Republic of Korea.

²Department of Surgery, Ewha Womans University Mokdong Hospital, Seoul, Republic of Korea.

³Theator, Inc., Palo Alto, CA, United States.

⁴Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.

⁵Cancer Research Institute, Seoul National University, Seoul, Republic of Korea.

⁶Department of Surgery, McGill University, Montreal, QC, Canada.

⁷Department of Surgery, National Cancer Center, Goyang, Republic of Korea.

PubMed DOI

Abstract

OBJECTIVE: To evaluate the clinical validity of the critical view of quality (CVQ) as a measure of lymphadenectomy quality in minimally invasive distal gastrectomy and to develop a computer vision model for automated CVQ assessment. BACKGROUND: Objective intraoperative assessment of lymphadenectomy quality in gastric cancer surgery remains limited, relying largely on postoperative surrogate marke…

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