The added value of diffusion weighted MRI over standard dynamic liver MRI in characterization of focal liver lesions
Main Article Content
Keywords
Magnetic Resonance Imaging, diffusion-weighted MRI, focal liver lesions
Abstract
Background: The study aims to assay the value of diffusion-weighted MR imaging over conventional dynamic liver MRI in the characterization and distinguishing of localized benign and malignant alterations in liver mass.
Methods: All liver MRI scans taken at Imam Khomeini Hospital Imaging Center from November 2018 to October 2021 were studied. Demographic information of patients was recorded. One hundred and forty patients with 221 liver lesions and focal liver tumors were evaluated using TSE T2WI, GE T1WI, 3-T MRI tests. Dynamic imaging was performed using T1 THRIVE. The results were compared with histopathology, laboratory and other previous radiological results (US &/or MSCT) performed on all patients. All collected
data were analysis with SPSS VER 18 software.
Results: Among the 140 individuals studied, 221 liver lesions were identified. The average age of the patients was 51.1±12.4 years, of all the patients investigated in the present study, there were 68 men and 72 women. The lesions were cysts (24), hemangiomas (81), FNH (9), adenomas, (10), peliosis hepatis (4), HCC (33), metastasis (58), cholangiocarcinoma (1), and Epithelioid hemangioendothelioma (1). means of ADC at the Cutoff point ≤1000 corresponded to sensitivity, specificity, positive and negative predictive value, and accuracy (100 %, 96 %, 95 %, 100, and 98 %). the diagnostic indicators of dynamic research obtained as follows specificity, sensitivity, negative and positive predictive value, and accuracy found accordingly (%, 97 %, 96 p%, 98 %, and 98 %).
Conclusion: We expect to minimize the number of biopsies and costs by using DWI over dynamic MRI to identify the features of liver lesions (malignant or benign). Using DWI on dynamic MRI results to identify liver malignant or benign lesions is expected to minimize the number and the costs of biopsies.
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