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Added by mollevi
Group name EquipeMY
Item Type Journal Article
Title MRI-based score to predict surgical difficulty in patients with rectal cancer
Creator Escal et al.
Author L. Escal
Author S. Nougaret
Author B. Guiu
Author M. M. Bertrand
Author H. de Forges
Author R. Tetreau
Author P. Rouanet
Abstract BACKGROUND: Rectal cancer surgery is technically challenging and depends on many factors. This study evaluated the ability of clinical and anatomical factors to predict surgical difficulty in total mesorectal excision. METHODS: Consecutive patients who underwent total mesorectal excision for locally advanced rectal cancer in a laparoscopic, robotic or open procedure after neoadjuvant treatment, between 2005 and 2014, were included in this retrospective study. Preoperative clinical and MRI data were studied to develop a surgical difficulty grade. RESULTS: In total, 164 patients with a median age of 61 (range 26-86) years were considered to be at low risk (143, 87ˇ2 per cent) or high risk (21, 12ˇ8 per cent) of surgical difficulty. In multivariable analysis, BMI at least 30?kg/m2 (P?=?0ˇ021), coloanal anastomosis (versus colorectal) (P?=?0ˇ034), intertuberous distance less than 10ˇ1?cm (P?=?0ˇ041) and mesorectal fat area exceeding 20ˇ7?cm2 (P?=?0ˇ051) were associated with greater surgical difficulty. A four-item score (ranging from 0 to 4), with each item (BMI, type of surgery, intertuberous distance and mesorectal fat area) scored 0 (absence) or 1 (presence), is proposed. Patients can be considered at high risk of a difficult or challenging operation if they have a score of 3 or more. CONCLUSION: This simple morphometric score may assist surgical decision-making and comparative study by defining operative difficulty before surgery.
Publication The British Journal of Surgery
Volume 105
Issue 1
Pages 140-146
Date Jan 2018
Journal Abbr Br J Surg
Language eng
DOI 10.1002/bjs.10642
ISSN 1365-2168
Library Catalog PubMed
Extra PMID: 29088504
Tags Adult, Aged, Aged, 80 and over, Clinical Decision-Making, Decision Support Techniques, Female, Humans, Logistic Models, Magnetic Resonance Imaging, Male, Middle Aged, Multivariate Analysis, original, Rectal Neoplasms, Rectum, Retrospective Studies
Date Added 2018/11/13 - 17:35:07
Date Modified 2019/05/21 - 13:15:10


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