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 |