A mong primary malignant hepatic tumors, hepatocellular carcinoma (HCC) is the most common disease and is highly associated with chronic hepatitis B and cirrhosis. Focal nodular hyperplasia (FNH) is the second most common benign focal liver lesion (1), and although it displays gentle biological behavior generally, it can cause abdominal pain or right upper quadrant discomfort occasionally. In terms of the extent of vascular supply during contrast enhancement, HCC and FNH both show a hyperarterialization pattern. HCC is characterized by rapid washout in portal and delayed phase compared with adjacent liver tissue, while FNH displays isointensity or mild hyperintensity in the venous phase because of its slower washout. Liver-specific contrast agents, such as gadoxetic acid, can provide unique information to diagnose these conditions more precisely; however, such agents increase the cost and time-consumption of diagnosis. Occasionally, HCC and FNH show confounding or atypical appearances on imaging, especially for high-or middle-grade differentiated HCC, leading to confusion, misdiagnosis ( Fig. 1), and even unnecessary interventions. Since the treatment of these two lesions is completely different, avoiding unnecessary invasive treatment or tests, such as biopsy, surgery, or interventional therapy, is vital for the prognosis and quality of life of the patient. Therefore, it is crucial to diagnose these conditions noninvasively and accurately before surgery.Diffusion-weighted imaging (DWI) is a functional technology to detect diffusion of water molecules and permits to capture more detailed disease information. For lesion detection, the signal intensity on diffusion-weighted image depends on several factors, particularly cell density.
A B D O M I N A L I MAG I N G O R I G I N A L A R T I C L E
PURPOSEWe aimed to explore whether intravoxel incoherent motion (IVIM)-related parameters of hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) demonstrate differences that could be used to differentiate and improve diagnostic efficiency.
METHODSA total of 27 patients, including 22 with HCC and 5 with FNH, underwent liver 3.0 T magnetic resonance imaging for routine sequences. They were concurrently examined by IVIM diffusion-weighted imaging (DWI) scanning with 11 different b values (0-800 s/mm 2 ). IVIM-derived parameters, such as pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f ), and apparent diffusion coefficient (ADC total ), were quantified automatically by post-processing software and compared between HCC and FNH groups. A receiver operating characteristic (ROC) curve was then created to predict their diagnostic value.
RESULTS