3D Magnetic Resonance Cholangiopancreatography (MRCP) in Symptomatic Post Cholecystectomy Patients: Ideal Imaging Plane of Source Volume Images

Autor: Ummara Siddique, Aman Nawaz Khan, Muhammad Naveed Anwar, Muhammad Abdullah, Abdullah Safi, Anisa Sundal, Ghulam Ghaus, Hadia Abid
Rok vydání: 2022
Zdroj: Saudi Journal of Radiology. 1:1-13
ISSN: 1658-8959
DOI: 10.55038/sjr.v1i2.15
Popis: Objectives: The purpose of our study was to find out the ideal 3D-MRCP acquisition plane among coronal and axial source datasets for bile duct assessment in patients with persistent post cholecystectomy pain. Methods: This was a cross sectional analytical study carried out in Radiology department of a teaching hospital from 1st January 2016 to 30 May 2017. 78 symptomatic patients for MRCP in the duration were included. Age range was 20 to 70 years and patients had persistent or recurrent post cholecystectomy symptoms like abdominal pain, vomiting or jaundice. Data was collected retrospectively from the hospital’s database so the need of informed consent was waivered off by permission from hospital’s ethical committee. MRCP was performed for all patients on 1.5 tesla GE MRI machine with breath-hold multi-slice acquisition using dedicated multichannel surface coils covering the abdomen. Both 2D and 3D MRCP were done. Coronal MIP was reconstructed based on each dataset. Data was analyzed using Microsoft excel and SPSS version 22. Results were compared for the ideal 3D plane to assess pancreatic and biliary ducts. Results: The encountered post cholecystectomy biliary findings were strictures (48%), retained biliary stones (35.8%), which were located either intrahepatic or extra-hepatic, most commonly in distal CBD causing obstructive jaundice and rest of the patients had either cholangiocarcinoma at hilum, pancreatitis or post op complications like complete bile duct transaction, bile duct ligation etc. The most common finding was biliary stricture. CHD and proximal CBD were better assessed for presence of strictures and stones on 3D coronal (P value
Databáze: OpenAIRE