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Case 18 - Nodular focal fatty infiltration of the liver

from Section 2 - Liver

Published online by Cambridge University Press:  05 November 2011

Fergus V. Coakley
Affiliation:
University of California, San Francisco
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Summary

Imaging description

Focal fatty infiltration of the liver is usually easily recognized based on the characteristic findings of a focal lesion with a geographic shape adjacent to the porta hepatis or fissure for the ligamentum teres that may contain non-distorted traversing blood vessels [1]. Occasionally, focal fat is nodular and located in other locations in the liver. Such atypical nodular focal fatty infiltration may result in an appearance of echogenic lesions at ultrasound or hypodense lesions at CT that mimic metastases (Figures 18.1–18.2) [1–6].

Importance

Nodular focal fatty infiltration may mimic metastases, leading to patient anxiety and unnecessary investigations in pursuit of a non-existent primary site.

Typical clinical scenario

Nodular focal fatty infiltration is typically seen as an incidental finding in patients being imaged for unrelated reasons, but may occasionally be seen with patients with known causes of diffuse fatty infiltration such as diabetes or alcohol abuse (Figure 18.3).

Differential diagnosis

A target-like appearance with central echogenicity on ultrasound and central hyperdensity on contrast-enhanced CT has been described [2–4] but would not appear sufficiently distinctive to allow a confident diagnosis. MRI is often critical to the diagnosis by demonstrating signal loss on opposed phase imaging, and the absence of abnormal enhancement on post-contrast imaging that might suggest other focal hepatic lesions that may contain microscopic fat, such as focal nodular hyperplasia, adenoma, or hepatocellular carcinoma [1, 4]. With respect to these other focal lesions, it should be noted that fat occurs in 35 to 77% of adenomas, up to 35% of small hepatocellular carcinomas, and is extremely rare in focal nodular hyperplasia and usually patchy rather than uniform [7–10].

Type
Chapter
Information
Pearls and Pitfalls in Abdominal Imaging
Pseudotumors, Variants and Other Difficult Diagnoses
, pp. 54 - 59
Publisher: Cambridge University Press
Print publication year: 2010

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References

Prasad, SR, Wang, H, Rosas, H, et al. Fat-containing lesions of the liver: radiologic-pathologic correlation. Radiographics 2005; 25: 321–331.CrossRefGoogle ScholarPubMed
Kemper, J, Jung, G, Poll, LW, et al. CT and MRI findings in multifocal hepatic steatosis mimicking malignancy. Abdom Imaging 2002; 27: 708–710.CrossRefGoogle ScholarPubMed
Rubaltelli, L, Savastano, S, Khadivi, Y, et al. Targetlike appearance of pseudotumors in segment IV of the liver on sonography. Am J Roentgenol 2002; 178: 75–77.CrossRefGoogle ScholarPubMed
Yates, CK, Streight, RA. Focal fatty infiltration of the liver simulating metastatic disease. Radiology 1986; 159: 83–84.CrossRefGoogle ScholarPubMed
Kröncke, TJ, Taupitz, M, Kivelitz, D, et al. Multifocal nodular fatty infiltration of the liver mimicking metastatic disease on CT: imaging findings and diagnosis using MR imaging. Eur Radiol 2000; 10: 1095–1100.Google ScholarPubMed
Flournoy, JG, Potter, JL, Sullivan, BM, Gerza, CB, Ramzy, I. CT appearance of multifocal hepatic steatosis. J Comput Assist Tomogr 1984; 8: 1192–1194.CrossRefGoogle ScholarPubMed
Chung, KY, Mayo-Smith, WW, Saini, S, et al. Hepatocellular adenoma: MR imaging features with pathologic correlation. Am J Roentgenol 1995; 165: 303–308.CrossRefGoogle ScholarPubMed
Arrive, L, Flejou, JF, Vilgrain, V, et al. Hepatic adenoma: MR findings in 51 pathologically proved lesions. Radiology 1994; 193: 507–512.CrossRefGoogle ScholarPubMed
Kutami, R, Nakashima, Y, Nakashima, O, Shiota, K, Kojiro, M. Pathomorphologic study on the mechanism of fatty change in small hepatocellular carcinoma of humans. J Hepatol 2000; 33: 282–289.CrossRefGoogle ScholarPubMed
Stanley, G, Jeffrey, RB, Feliz, B. CT findings and histopathology of intratumoral steatosis in focal nodular hyperplasia: case report and review of the literature. J Comput Assist Tomogr 2002; 26: 815–817.CrossRefGoogle ScholarPubMed

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