ISSN 1004-4140
CN 11-3017/P
XU X L, ZHANG T, ZHANG X Q. CT and MRI Findings of Multiple Infarcted Regenerative Nodules in Liver Cirrhosis after Variceal Hemorrhage[J]. CT Theory and Applications, 2023, 32(4): 539-544. DOI: 10.15953/j.ctta.2022.063. (in Chinese).
Citation: XU X L, ZHANG T, ZHANG X Q. CT and MRI Findings of Multiple Infarcted Regenerative Nodules in Liver Cirrhosis after Variceal Hemorrhage[J]. CT Theory and Applications, 2023, 32(4): 539-544. DOI: 10.15953/j.ctta.2022.063. (in Chinese).

CT and MRI Findings of Multiple Infarcted Regenerative Nodules in Liver Cirrhosis after Variceal Hemorrhage

  • Objective: To investigate the CT and MRI features of multiple infarcted regenerative nodules in cirrhosis after variceal hemorrhage. Methods: A total of 21 patients, including 13 males and 8 females, who were diagnosed with multiple infarction regenerating nodules in cirrhosis after variceal hemorrhage, were included in this study. All patients were examined by a 3.0 T MR scanner or 256 slice spiral CT, and the enhancement pattern, signal intensity, shape, number, size, edge, location, and distribution of the lesions were analyzed . Results: In CT or MRI imaging, 3 patients had 10 or less lesions and 19 patients had more than 10 lesions. The diameter of the liver lesions was 3~26 mm, and most lesions were round nodules which were clustered and distributed . Moreover, the lesions were mainly distributed in the subcapsular region of the liver. After dynamic enhancement of the CT and MRI, most nodules had no obvious enhancement and a few had marginal enhancement . On T1WI images, all lesions showed equal signal or slightly low signal, while on T2WI images, most lesions had high signals with clear boundaries. During CT and MRI follow-up, the lesions disappeared in 13 patients and shrank or significantly reduced in 8 patients. Conclusions: CT and MRI can show the imaging features of multiple infarcted regenerative nodules in liver cirrhosis after variceal hemorrhage, which can be differentiated from liver malignancy by imaging follow-up, clinical history, and tumor indicators.
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