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Preoperative predictive risk to cancer quality in robotic rectal cancer surgery
- Source :
- European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology. 47(2)
- Publication Year :
- 2020
-
Abstract
- Background Circumferential resection margin (CRM) involvement is widely considered the strongest predictor of local recurrence after TME. This study aimed to determine preoperative factors associated with a higher risk of pathological CRM involvement in robotic rectal cancer surgery. Methods This was a retrospective review of a prospectively maintained database of consecutive adult patients who underwent elective, curative robotic low anterior or abdominoperineal resection with curative intent for primary rectal adenocarcinoma in a tertiary referral cancer center from March 2012 to September 2019. Pretreatment magnetic resonance imaging (MRI) reports were reviewed for all the patients. Risk factors for pathological CRM involvement were investigated using Firth’s logistic regression and a predictive model based on preoperative radiological features was formulated. Results A total of 305 patients were included, and 14 (4.6%) had CRM involvement. Multivariable logistic regression found both T3 >5 mm (OR 6.12, CI 1.35–36.44) and threatened or involved mesorectal fascia (OR 4.54, CI 1.33–17.55) on baseline MRI to be preoperative predictors of pathologic CRM positivity, while anterior location (OR 3.44, CI 0.72–33.13) was significant only on univariate analysis. The predictive model showed good discrimination (area under the receiver-operating characteristic curve >0.80) and predicted a 32% risk of positive CRM if all risk factors were present. Conclusion Patients with pre-operatively assessed threatened radiological margin, T3 tumors with greater than 5 mm extension and anterior location are at risk for a positive CRM. The predictive model can preoperatively estimate the CRM positivity risk for each patient, allowing surgeons to tailor management to improve oncological outcomes.
- Subjects :
- Male
medicine.medical_specialty
Colorectal cancer
Logistic regression
03 medical and health sciences
0302 clinical medicine
Robotic Surgical Procedures
Rectal Adenocarcinoma
medicine
Humans
Robotic surgery
Retrospective Studies
Univariate analysis
Proctectomy
Abdominoperineal resection
business.industry
Rectal Neoplasms
Rectum
Cancer
Margins of Excision
General Medicine
Middle Aged
medicine.disease
Total mesorectal excision
Magnetic Resonance Imaging
Oncology
030220 oncology & carcinogenesis
Preoperative Period
030211 gastroenterology & hepatology
Surgery
Female
Radiology
business
Subjects
Details
- ISSN :
- 15322157
- Volume :
- 47
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
- Accession number :
- edsair.doi.dedup.....1f6ad2c08c85556410892cbd2b6cd373