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Hepatocellular-cholangiocarcinoma: Helical computed tomography findings in 30 patients

  • Osama Ebied
  • , Michael P. Federle*
  • , Arye Blachar
  • , Giuseppe Brancatelli
  • , Luigi Grazioli
  • , Dominique Cazals-Hatem
  • , Federica Dondero
  • , Valérie Vilgrain
  • *Corresponding author for this work
  • University of Pittsburgh
  • APHP Beaujon
  • University of Palermo
  • University of Brescia

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

Objective: To report the helical multiphasic computed tomography (CT) findings in 30 patients with hepatocellular-cholangiocarcinoma. Method: We evaluated age, gender, tumor risk factors, serum tumor markers, symptoms, and tumor morphology and enhancement on helical multiphasic CT in 30 patients. Results: Twenty-six of 30 patients (86%) were men. Patients had an age range of 27-78 years (mean = 58 years). Abdominal signs or symptoms were present in 21 of 30 patients, and 25 of 30 (83%) had chronic liver disease. Helical CT demonstrated a well-defined tumor in all patients with signs of malignancy such as hepatic hypervascularity (63%), biliary obstruction (17%), satellite lesions (40%), and lymphadenopathy (27%). Portions of the tumor were hyperattenuated on arterial-phase imaging and hypoattenuated on all other phases, whereas other portions showed delayed persistent enhancement, sometimes (27%) with hepatic capsular retraction, findings that have been reported to be characteristic of hepatocellular carcinoma and cholangiocarcinoma, respectively. Conclusion: The diagnosis of hepatocellular-cholangiocarcinoma should be considered when a hepatic tumor has CT features of both hepatocellular carcinoma and cholangiocarcinoma. Radiologists should be aware of this tumor type so that the biopsy is performed properly to allow sufficient tissue sampling.

Original languageEnglish
Pages (from-to)117-124
Number of pages8
JournalJournal of Computer Assisted Tomography
Volume27
Issue number2
DOIs
StatePublished - 2003
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Computed tomography
  • Diagnosis (liver tumor)
  • Liver neoplasms (tumors)
  • Malignant (liver tumor)

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