Myxoid hepatocellular neoplasms: imaging appearance of a unique mucinous tumor variant

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Purpose: To describe the imaging appearance of myxoid hepatocellular neoplasms (MHNs), including adenomas and carcinomas, a recently described pathologically unique tumor variant. Materials and Methods: Single-institution review of pathologically proven MHNs revealed 4 patients with imaging prior to resection. All available cross-sectional imaging was then retrospectively reviewed in consensus using specified descriptive characteristics previously published for hepatocellular adenoma subtypes. Imaging characteristics on magnetic resonance imaging (MRI), ultrasound (US), and computed tomography (CT) were reviewed. Results: MHNs were predominantly markedly T2 hyperintense with thin internal septations, circumscribed with lobulated margins, and demonstrated heterogeneous enhancement on arterial phase that became more homogenous on delayed phases. The lesions were hypodense on CT with similar enhancement characteristics as on MRI. On US, they were mildly hyperechoic and heterogeneous with posterior acoustic enhancement. Conclusion: MHNs show distinct imaging features that may allow accurate noninvasive diagnosis and differentiation from other hepatic lesions, including cavernous hemangioma, focal nodular hyperplasia, and other variants of hepatocellular adenoma or carcinoma.

Original languageEnglish (US)
Pages (from-to)2115-2122
Number of pages8
JournalAbdominal Radiology
Volume41
Issue number11
DOIs
StatePublished - Nov 1 2016

Keywords

  • CT
  • Hepatic adenoma
  • Hepatocellular carcinoma
  • MRI
  • Myxoid hepatocellular lesion
  • Ultrasound

ASJC Scopus subject areas

  • Gastroenterology
  • Urology
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Myxoid hepatocellular neoplasms: imaging appearance of a unique mucinous tumor variant'. Together they form a unique fingerprint.

Cite this