Currently, there is no prediction scale available to identify patients with rectal neoplasms as technically complex in the middle and lower thirds; that is, those who are at high risk of affected circumferential margins and low quality of the mesorectum. The application of a predictive model that allows preoperative identification of the group of patients in whom optimal results in mesorectal quality and circumferential margin are less likely to be obtained through laparoscopic or minimally invasive surgery would enable the selection of patients who will require and justify all efforts and healthcare resources to improve surgical outcomes. Therefore, the investigators aim to create a predictive model to identify these patients, allowing the discrimination of which patients will benefit from different techniques, or even which ones would be opportune to initially consider an open approach.
Study Type
OBSERVATIONAL
Enrollment
333
Collection of preoperative demographic, clinical, and radiological variables from patients who meet the inclusion criteria in order to identify possible risk factors for suboptimal surgical treatment
Hospital Universitari Dr. Josep Trueta de Girona
Girona, Spain
RECRUITINGSuboptimal oncological outcomes
Surgical resection with affected margins (proximal-distal and/or circumferential \< 1mm) and/or incomplete or nearly complete mesorectal resection
Time frame: 15 postoperative days
Surgical and Postoperative complications
Conversion to open surgery and anastomotic dehiscence rates
Time frame: 30 postoperative days
Overall and disease free survival
Recurrence of the tumoral disease at the pelvic level and distant recurrence is defined as s the recurrence of the disease in other distant organs.
Time frame: 3-years surgery
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