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Quadriphasic contrast-enhanced CT scan images, showing the exophytic lesion (white arrows)
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Patients with liver cirrhosis are at increased risk of developing hepatocellular carcinoma (HCC) and are placed on routine surveillance for HCC. Diagnosis algorithms are in place to guide clinicians in the evaluation of liver lesions detected during surveillance. Radiological assessments are critical with diagnostic criteria based on identification...
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This is a case of remarkable alpha-fetoprotein in a female patient with known cryptogenic liver cirrhosis. Both ultrasound and triphasic computed tomography (CT) abdomen cannot diagnose or exclude hepatocellular carcinoma (HCC). It turns out to be a case of portal vein thrombosis and hepatic pseudo-infarction. It is better to postpone the therapeut...
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... However, most serological indexes can reflect only the state of hepatitis and liver fibrosis in active period, while they cannot reveal the severity of liver fibrosis in stable period. In different laboratories, the values of the same serological indexes are different to some extent [12,13]. As a result, these indexes show no direct guiding significance in the staging of liver fibrosis at present. ...
This research was aimed at investigating the artificial intelligence (AI) segmentation algorithm-based multislice spiral computed tomography (MSCT) in the diagnosis of liver cirrhosis and liver fibrosis. Besides, it was aimed at providing new methods for the diagnosis of liver cirrhosis and liver fibrosis. All patients were divided into the control group, mild liver fibrosis group, and significant liver fibrosis group. A total of 112 patients were included, with 40 cases in the mild liver fibrosis group, 48 cases in the significant liver fibrosis group, and 24 cases who underwent computed tomography (CT) examination in the control group. In the research, deconvolution algorithm of AI segmentation algorithm was adopted to process the images. The average hepatic arterial fraction (HAF) values of patients in the control group, mild liver fibrosis group, and severe liver fibrosis group were 17.59 ± 10.03 %, 18.23 ± 5.57 %, and 20.98 ± 6.63 %, respectively. The average MTT values of patients in the control group, mild liver fibrosis group, and severe liver fibrosis group were 12.69 ± 1.78 S, 12.53 ± 2.05 S, and 12.04 ± 1.57 S, respectively. The average blood flow (BF) values of patients in the control group, mild liver fibrosis group, and severe liver fibrosis group were 105.68 ± 15.57 mL 100 g-1·min-1, 116.07 ± 16.5 mL·100 g-1·min-1, and 110.39 ± 16.32 mL·100 g-1·min-1, respectively. Besides, the average blood volume (BV) values of patients in the control group, mild liver fibrosis group, and significant liver fibrosis group were 15.69 ± 4.35 mL·log-1, 16.97 ± 2.68 mL·log-1, and 16.11 ± 4.87 mL·100 g-1, respectively. According to statistics, the differences among the average HAF, MTT, BF, and BV values showed no statistical meaning. AI segmentation algorithm-based MSCT imaging could promote the diagnosis of liver cirrhosis and liver fibrosis effectively and offer new methods to clinical diagnosis of liver cirrhosis and liver fibrosis.
