In:
Contrast Media & Molecular Imaging, Hindawi Limited, Vol. 2022 ( 2022-8-16), p. 1-7
Abstract:
This paper investigates the clinical application value of quantitative CT (QCT) technique in evaluating liver fat content in patients with schizophrenia. 457 patients with schizophrenia underwent abdominal CT and QCT scans. QCT postprocessing software (QCT Pro version 6.1) measures the percentage of liver fat content in all patients and calculates the average value. Then, the CT workstation displays the corresponding liver/spleen CT value ratio. SPSS 25.0 software is used for statistical analysis of data, and the correlation coefficient between the mean liver fat content. The ratio of liver/spleen CT values is calculated and the consistency between the results is compared. The ROC curve is used to define the cutoff value of the target and evaluate its diagnostic efficiency. There is a high negative correlation between the mean liver fat content and the ratio of liver/spleen CT value in all schizophrenia patients (r = −0.935, P 〈 0.05). The identification rate of patients with mild fatty liver by QCT technology is 4 times higher than that of the liver and spleen CT value ratio (50.98% Vs 12.47%). Taking the ratio of the liver to the spleen as the standard, the ROC curve of the liver fat content in QCT is drawn, the cutoff values of the mean liver fat content of the normal liver and mild fatty liver and mild and moderate fatty liver were 9.35% and 19.4%, respectively. Comparing this result with the results obtained by the existing QCT for the fatty liver diagnosis and grading standard value (American standard) shows that there is a difference of about 5% between the two. Compared with the semiquantitative liver/spleen ratio, QCT technology can quantify the liver fat content. Given the particularity of patients with schizophrenia, QCT can be used as an important test for identifying early fatty liver and assessing the severity of fatty liver.
Type of Medium:
Online Resource
ISSN:
1555-4317
,
1555-4309
DOI:
10.1155/2022/7006133
Language:
English
Publisher:
Hindawi Limited
Publication Date:
2022
detail.hit.zdb_id:
2222967-X
