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An artificial intelligence-designed predictive calculator of conversion from minimally invasive to open colectomy in colon cancer.
Emile, Sameh Hany; Horesh, Nir; Garoufalia, Zoe; Gefen, Rachel; Rogers, Peter; Wexner, Steven D.
Affiliation
  • Emile SH; Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
  • Horesh N; Colorectal Surgery Unit, General Surgery Department, Mansoura University Hospitals, Mansoura, Egypt.
  • Garoufalia Z; Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
  • Gefen R; Department of Surgery and Transplantation, Sheba Medical Center, Ramat-Gan, Israel.
  • Rogers P; Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
  • Wexner SD; Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
Updates Surg ; 76(4): 1321-1330, 2024 Aug.
Article in En | MEDLINE | ID: mdl-38926233
ABSTRACT
Minimally invasive surgery is safe and effective in colorectal cancer. Conversion to open surgery may be associated with adverse effects on treatment outcomes. This study aimed to assess risk factors of conversion from minimally invasive to open colectomy for colon cancer and impact of conversion on short-term and survival outcomes. This case-control study included colon cancer patients undergoing minimally invasive colectomy from the National Cancer Database (2015-2019). Logistic regression analyses were conducted to determine independent predictors of conversion from laparoscopic and robotic colectomy to open surgery. 26,546 patients (mean age 66.9 ± 13.1 years) were included. Laparoscopic and robotic colectomies were performed in 79.1% and 20.9% of patients, respectively, with a 10.6% conversion rate. Independent predictors of conversion were male sex (OR 1.19, p = 0.014), left-sided cancer (OR 1.35, p < 0.001), tumor size (OR 1, p = 0.047), stage II (OR 1.25, p = 0.007) and stage III (OR 1.47, p < 0.001) disease, undifferentiated carcinomas (OR 1.93, p = 0.002), subtotal (OR 1.25, p = 0.011) and total (OR 2.06, p < 0.001) colectomy, resection of contiguous organs (OR 1.9, p < 0.001), and robotic colectomy (OR 0.501, p < 0.001). Conversion was associated with higher 30- and 90-day mortality and unplanned readmission, longer hospital stay, and shorter overall survival (59.8 vs 65.3 months, p < 0.001). Male patients, patients with bulky, high-grade, advanced-stage, and left-sided colon cancers, and patients undergoing extended resections are at increased risk of conversion from minimally invasive to open colectomy. The robotic platform was associated with reduced odds of conversion. However, surgeons' technical skills and criteria for conversion could not be assessed.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Laparoscopy / Colectomy / Colonic Neoplasms / Conversion to Open Surgery / Robotic Surgical Procedures Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Updates Surg / Updates in surgery (Online) / Updates surg. (Online) Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Laparoscopy / Colectomy / Colonic Neoplasms / Conversion to Open Surgery / Robotic Surgical Procedures Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Updates Surg / Updates in surgery (Online) / Updates surg. (Online) Year: 2024 Document type: Article Affiliation country: Country of publication: