Impact of robotic total mesorectal excision upon pathology metrics in overweight males with low rectal cancer: a pooled analysis of 836 cases.
Mahir GachabayovHanjoo LeeAgon KajmolliDaniel Moritz FelsenreichRoberto Bergamaschinull nullPublished in: Updates in surgery (2023)
The aim of this pooled analysis was to evaluate the impact of robotic total mesorectal excision (TME) on pathology metrics in Male Overweight patients with Low rectal cancer (MOL). This was a multicenter retrospective pooled analysis of data. Two groups were defined: MOL (Male, Overweight, Low rectal cancer) and non-MOL. Overweight was defined as BMI ≥ 25 kg/m 2 . Low rectal cancer was defined as cancer within 6 cm from the anal verge. The primary endpoints of this study were histopathological metrics, namely circumferential resection margin (CRM) (mm), CRM involvement rate (%), and the quality of TME. Circumferential resection margin (CRM) was involved if < 1 mm. 836 (106 MOL and 730 non-MOL) patients that underwent robotic TME by six surgeons over 3 years were compared. No significant differences in demographics and perioperative variables were found, except for operating time, distal margin, and number of lymph nodes harvested. CRM involvement rate did not significantly differ (7.5% vs. 5.5%, p = 0.395). Mean CRM was statistically significantly narrower in MOL patients (6.6 vs. 7.7 mm, p = 0.04). Quality of TME did not differ. Distance of tumor from the anal verge was the only independent predictor of CRM involvement. Robotic TME may provide optimal pathology metrics in overweight males with low rectal cancer. Although CRM was a few millimeters narrower in MOL, the values were within the range of uninvolved margins making the difference statistically significant, but not clinically. Being MOL was not a risk factor for involvement of circumferential resection margin.
Keyphrases
- rectal cancer
- locally advanced
- end stage renal disease
- weight loss
- weight gain
- physical activity
- minimally invasive
- ejection fraction
- newly diagnosed
- lymph node
- chronic kidney disease
- peritoneal dialysis
- robot assisted
- neoadjuvant chemotherapy
- patients undergoing
- high grade
- clinical trial
- deep learning
- radiation therapy
- acute kidney injury
- patient reported
- machine learning
- double blind