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DOI 10.1016/j.ejrad.2018.01.023

Медицинская библиотека · European journal of radiology · 2018

MR imaging of hepatocellular adenomas on genotype-phenotype classification: A report from China.

Wang Heqing, Yang Chun, Rao Shengxiang, Ji Yuan, Han Jing, Sheng Ruofan, Zeng Mengsu

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Аннотация

PURPOSE: To investigate and compare the MR features between hepatocellular adenoma (HCA) subtypes in China, including preliminary observations on diffusion-weighted imaging (DWI).

METHODS

Thirty-six patients with 39 pathologically proven HCAs underwent gadopentetate dimeglumine enhanced MRI. The morphological and imaging features on T1, T2-weighted, dynamic-enhanced imaging and DWI were retrospectively evaluated and compared between four HCA subtypes, using Kruskal-Wallis test, Fisher's exact test and Dunn-Bonferroni post hoc test.

RESULTS

HCA frequently occurred in male (n = 19, 52.8%), lacked an association with oral contraceptives (n = 0), and had a relatively high incidence of coexistent Hepatitis B infection (n = 6, 16.7%). Signals on T1 and T2-weighted imaging, enhancement pattern and intensity, lesion heterogeneity, as well as accompanying findings including lesion steatosis, necrosis or cystic component, central scar, and pseudocapsule were different between HCA subtypes (P < .0001 to P = .019). Apparent diffusion coefficient (ADC) values among HCA subtypes were different as a whole (P = .029), within which β-catenin-mutated HCA had the lowest ADCs; but post hoc comparisons demonstrated no significant differences between groups (P = .066-1.000).

CONCLUSION

Both clinical and MR imaging presentation of HCA in China had some specific characteristics, and a good relationship existed between MR data and genotype-phenotype classification. Furthermore, ADC value may provide a potential indicator of malignant transformation.

Для цитирования: Wang Heqing, Yang Chun, Rao Shengxiang, Ji Yuan, Han Jing, Sheng Ruofan, Zeng Mengsu. MR imaging of hepatocellular adenomas on genotype-phenotype classification: A report from China.. European journal of radiology. 2018. DOI: 10.1016/j.ejrad.2018.01.023.

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