Cirrhosis-associated hepatocellular nodules: correlation of histopathologic and MR imaging features.
Cirrhotic livers are characterized by advanced fibrosis and the formation of hepatocellular nodules, which are classified histologically as either (a) regenerative lesions (eg, regenerative nodules, lobar or segmental hyperplasia, focal nodular hyperplasia) or (b) dysplastic or neoplastic lesions (eg, dysplastic foci and nodules, hepatocellular carcinomas). The differentiation of these lesions is important because regenerative nodules are benign, whereas dysplastic and neoplastic nodules are premalignant and malignant, respectively. However, their accurate characterization may be difficult even at histopathologic analysis. Differential diagnosis may be facilitated by comparing the clinical and pathologic findings with radiologic imaging features; in particular, nodule size, vascularity, hepatocellular function, and Kupffer cell density assessed at magnetic resonance (MR) imaging are suggestive of the correct diagnosis. MR imaging is more useful than computed tomography for such assessments because it provides better soft-tissue contrast and a more nuanced depiction of different tissue properties. Moreover, a wider variety of contrast agents is available for use in MR imaging. Familiarity with the MR imaging characteristics of cirrhosis-associated hepatocellular nodules is therefore important for optimal diagnosis and management of cirrhotic disease.
Hanna
Robert F
RF
Department of Radiology, Division of Body Imaging, University of California, San Diego, UCSD Liver Center, 200 W Arbor Dr, San Diego, CA 92103-8756, USA.
Aguirre
Diego A
DA
Kased
Norbert
N
Emery
Shawn C
SC
Peterson
Michael R
MR
Sirlin
Claude B
CB
D000368:Aged; D006528:Carcinoma, Hepatocellular / Q000473:pathology*; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008103:Liver Cirrhosis / Q000473:pathology*; D008113:Liver Neoplasms / Q000473:pathology*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D013223:Statistics as Topic