Back to Search Start Over

The Value of CT Perfusion Parameters and Apparent Diffusion Coefficient Value of Magnetic Resonance Diffusion Weighted Imaging in Diagnosis of Hepatocellular Carcinoma

Authors :
Kezhen Li
Baiping Wang
Source :
Computational and mathematical methods in medicine. 2022
Publication Year :
2022

Abstract

Background. Hepatocellular carcinoma is one of the malignant tumors with the highest incidence in the world. According to the latest statistics of the National Cancer Center, the incidence of liver cancer ranks fifth in malignant tumors and its mortality rate ranks second in China, which seriously threatens people’ s life and health. Aim. To investigate the value of CT perfusion parameters and apparent diffusion coefficient (ADC) of magnetic resonance imaging (MRI) diffusion weighted imaging (DWI) in the diagnosis of hepatocellular carcinoma. Methods. 43 patients with hepatocellular carcinoma and 40 patients with hepatic hemangioma treated in our hospital from August 2018 to August 2021 were selected for CT perfusion imaging and MRI examination. Results. The liver blood flow (BF), liver blood volume (BV), and hepatic artery perfusion (HAP) in the hepatocellular carcinoma group were (267.38 ± 35.59) ml/(min·100 g), (30.20 ± 8.82) ml/100 g, and (0.64 ± 0.10) ml/(min·ml), respectively, which were significantly higher than those in the hepatic hemangioma group ( p < 0.05 ). The ADC value of hepatocellular carcinoma DWI sequence was (1.20 ± 0.17) ×10-3 mm2, which was significantly lower than that of hepatic hemangioma ( p < 0.05 ). The area under ROC curve of BF, BV, HAP, and ADC values for hepatocellular carcinoma was 0.860, 0.754, 0.804, and 0.890, respectively. The area under ROC curve of the four groups was compared ( p > 0.05 ). Conclusion. CT perfusion parameters BF, BV, HAP, and DWI sequence ADC values have certain application value in the diagnosis of hepatocellular carcinoma, and there is no significant difference between the diagnostic value of each parameter.

Details

ISSN :
17486718
Volume :
2022
Database :
OpenAIRE
Journal :
Computational and mathematical methods in medicine
Accession number :
edsair.doi.dedup.....7834608a0b8005550d56f5bc4de1c1c4