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Year : 2018  |  Volume : 35  |  Issue : 3  |  Page : 277-281

The role of dynamic contrast-enhanced MRI analysis of perfusion changes in hepatocellular carcinoma

Radiology Department, Benha University, Egypt

Correspondence Address:
Dr. Ahmed M Elzeneini
Radiology and PET.CT Departments, Nasser Institute for Research and Treatment, 1351 Nile Corniche, Cairo
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/bmfj.bmfj_46_18

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Background Dynamic contrast-enhanced (DCE)-MRI functional imaging is primarily focused on quantitative evaluation of tumoral perfusion and permeability, thus enabling an insight into the pathophysiology of tissue and serving as early noninvasive biologic markers of tumorigenesis. Aim The aim was to evaluate the functional role of DCE-MRI analysis of perfusion changes in hepatocellular carcinoma (HCC). Patients and methods A total of 43 patients with liver cirrhosis having 65 HCCs all underwent 3 T multiphase DCE-MRI assessment. Maximum relative enhancement, area under curve, wash-in ratio, wash-out ratio, time to arrival, and time to peak semiquantitative measurements were analytically compared between the hepatocellular carcinogenic lesions and the adjacent lesion-free liver cirrhosis. Results Comparison of different perfusion metrics across hepatocellular carcinogenic lesions and adjacent lesion-free liver cirrhosis revealed exceling statistical significance. Diagnostic accuracies were highest when using wash-out ratio (86.2%) to detect HCC from background cirrhosis, whereas they were lowest using area under the curve (67.7%). Implementing wash-in ratio (81.9%), as a first-pass perfusion metric, surpassed its counterpart, maximum relative enhancement (73.4%), in diagnostic reliability. Regarding the timing of flow dynamics, time to arrival (84.1%) was more important than time to peak (78.1%) as a diagnostic indicator of hepatocarcinogenesis. Conclusion Multiphase DCE-MRI perfusion analyses provide quantitative hemodynamic metrics that promise potential usefulness as noninvasive biomarkers in the detection of HCC.

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