Role of MRI in the prediction of pancreatic adenocarcinoma resectability. Experience of the university hospital of Constantine
Year: 2023
Type: article
Study design: Observational Study
Abstract: Introduction. Pancreatic ductal adenocarcinoma is a rapidly progressive, highly aggressive disease with a poor prognosis. Complete curative surgery offers the only hope of remission of this cancer. Purpose. The purpose of this work is to assess the performance of MRI in determining the tumor resectability of pancreatic adenocarcinoma in order to select the best candidates for surgery. Materials and methods. A prospective, cross-sectional, and evaluative study over 24 months from January 2020 to December 2021 of patients suspected of having pancreatic cancer. Results. A total of 117 cases of patients were included, aged 34-91 years with an average age of 62 ± 11 years and a sex ratio of 1.25. The average Tumor diameter is 43.61 ± 15.268 mm. MRI assessment of resectability was performed according to NCCN version 1.2020 criteria. 46 patients (i.e. 39.3%) were at the metastasis stage, 36 patients (i.e. 30.8%) resectable, 19 patients (i.e. 16.2%) locally advanced and 16 patients (i.e. 13.7%) borderline resectability. Tumor resectability of MRI was compared with results of surgery in 45 patients (i.e. 38.5%). Analysis showed high accuracy of MRI in assessing tumor resectability of pancreatic adenocarcinoma with 100% sensitivity, 80% specificity, 94.6% PPV and 100 NPV. Discussion. The place of MRI is increasingly important in the determination of tumor resectability and therapeutic decision of pancreatic adenocarcinoma; this may be due to the progress made to improve the quality of different sequences essentially functional, and also the capacity of MRI to make a better tissue characterization. Conclusion. MRI is reliable and high performance imaging technique in the assessment of pancreatic cancer resectability according to NCCN 1.2020 Guidelines.
Author: Walid Tibermacine
Institution: University of Constantine 3
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4405073771