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Cited by 328

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Diagnosis of cirrhosis based on regional changes in hepatic morphology: a radiological and pathological analysis.

Harbin, W P, Robert, N J, Ferrucci, J T·1980·Radiology

Abstract

Transverse images of cirrhotic livers revealed specific morphological changes. The right lobe exhibited relatively greater shrinkage, while the caudate lobe underwent relative enlargement. Sonograms or CT scans of 25 proved cirrhotic livers, 25 normal livers, and 15 livers with diffuse disease other than cirrhosis were analyzed using a number of measurements and ratios to evaluate and quantify the frequency and possible diagnostic value of these alterations. Using the ratio of transverse caudate lobe width to transverse right lobe width, cirrhotic livers could be separated from noncirrhotic liver (both normal and abnormal) with a sensitivity of 84%, a specificity of 100%, and an accuracy of 94%. Another ratio revealed relative widening of the porta hepatis in 84% of cirrhotic livers, but this was not specific for cirrhosis. Pathological analysis of 11 cirrhotic cadaver livers revealed greater fibrosis in the right lobe than in the caudate lobe.

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Metadata

Authors
Harbin, W. P., Robert, N. J., & Ferrucci, J. T.
Venue
Radiology
Published
1980-05
Volume
135
Issue
2
Pages
273-283
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2115035711
Cited by
328
References
0
FWCI
2.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Diagnosis of cirrhosis based on regional changes in hepatic morphology: a radiological and pathological analysis. https://app.cochat.ai/papers/10.1148/radiology.135.2.7367613
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Harbin, W. P., Robert, N. J., & Ferrucci, J. T. (1980). Diagnosis of cirrhosis based on regional changes in hepatic morphology: a radiological and pathological analysis. Radiology. https://doi.org/10.1148/radiology.135.2.7367613

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.