Diffusion-Weighted Imaging: An Exciting and Problem-Solving Tool in Patients with Hepatic Metastases

Autor: Mohd Gull Bhatt, Naseer A Choh, Rauf A. Wani, Savia Gupta, Sheikh Riaz Rasool, Zubaida Rasool
Rok vydání: 2021
Předmět:
Zdroj: The Indian Journal of Radiology & Imaging
Indian Journal of Radiology and Imaging, Vol 31, Iss 01, Pp 086-090 (2021)
ISSN: 1998-3808
0971-3026
DOI: 10.1055/s-0041-1729490
Popis: Background The diffusion-weighted imaging (DWI) is based on the random Brownian motion of water molecules that influences image contrast depending on different pathological conditions. Objective The purpose of this study was to evaluate the efficacy of various magnetic resonance imaging (MRI) sequences including diffusion-weighted and gadobenate-enhanced MRI in the detection and characterization of liver lesions in a patient of known primary malignancy and to compare MRI with contrast-enhanced computed tomography (CECT) and ultrasonography (USG) in the detection of liver metastases. Methods All patients underwent a multiphase MRI. The final diagnosis was established by histopathological examination. Results A total of 43 patients of known primary malignancy were enrolled. MRI gave a provisional diagnosis of liver metastases in 21 patients and benign disease in 22 patients with histopathological correlation revealing two false-negative and one false-positive result. In the detection of lesions, DWI outscored other sequences (92.9 vs. 83.5% in hepatobiliary phase vs. 55.0% in T2-weighted sequences) with a statistically significant difference noted only in comparison with T2-weighted sequences (p < 0.001). In 16 patients, MRI added new lesions that were not detected by CECT/USG. The sensitivity and specificity of MRI for detecting metastases were 90.9%/95.2% and 97.9%/96.8% for per-patient and per-lesion basis, respectively. Conclusion Multiphase MRI improved both the detection and characterization of liver metastases. Adding DWI to the routine MR sequences helped in detecting small liver metastases (
Databáze: OpenAIRE