Hong Zhu, Xuhui Liu, Huihao Qin, Jun Zhao, Hongjun Jiang, Qingyao Li
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引用次数: 0
Abstract
Objective: This study aimed to assess the correlation and consistency between quantitative CT (QCT) and MRI asymmetric echo least squares estimation iterative water-lipid separation sequence (IDEAL-IQ) in determining pancreatic fat content in patients with type 2 diabetes.
Methods: A total of 67 patients with type 2 diabetes mellitus who met the inclusion criteria were included in the study. QCT and MRIIDEAL-IQ technologies were utilized to evaluate the patients quantitatively. The pancreatic head, body, and tail regions were examined to measure the fat content and obtain the CT pancreatic fat fraction (CT-PFF) and MRI pancreatic fat fraction (MR-PFF). Pearson correlation analysis examined the relationship between diabetes-related factors and CT-PFF/MR-PFF. Additionally, Bland-Altman analysis assessed the consistency between CT-PFF and MR-PFF.
Results: Among the 67 patients, 33 were males and 34 were females. The average age was (66.55±6.23) years, with an average abdominal circumference of (83.34 ± 10.10) cm. The mean values for glycated hemoglobin, fasting blood glucose, BMI, and liver fat content were (6.97±1.07) mmol • L-1, (6.83±1.82) mmol • L-1, (24.02 ± 2.96) kg/m², and (5.28±2.76)%, respectively. Pearson correlation analysis indicated a significant correlation between abdominal circumference, liver fat content, and MR-PFF (r=0.261, 0.267, P < .05). However, no significant correlation was observed between age, glycated hemoglobin, fasting blood glucose, BMI, and MR-PFF (all, P > .05). The minimum and maximum values for CT-PFF among the 67 patients were 7.3% and 60.3%, respectively, with an average value of (19.90±10.61)%. For MR-PFF, the minimum and maximum values were 2% and 48%, respectively, with an average value of (12.21±10.71)%. Pearson correlation analysis demonstrated a significant correlation between CT-PFF and MR-PFF (r = .842, P < .05). Bland-Altman analysis revealed an average bias value of 7.7% and a standard deviation of 5.6% for CT-PFF and MR-PFF. The mean 95% confidence interval ranged from 4.15% to 19.75% (P < .05), with 64 cases falling within this interval and 3 cases falling outside.
Conclusion: A correlation exists between pancreatic fat content, abdominal circumference, and liver fat content. Both QCT and MRI can accurately quantify pancreatic fat content, and their correlation and consistency are relatively ideal. QCT technology is particularly suitable for patients with contraindications for magnetic resonance examination.
期刊介绍：
Launched in 1995, Alternative Therapies in Health and Medicine has a mission to promote the art and science of integrative medicine and a responsibility to improve public health. We strive to maintain the highest standards of ethical medical journalism independent of special interests that is timely, accurate, and a pleasure to read. We publish original, peer-reviewed scientific articles that provide health care providers with continuing education to promote health, prevent illness, and treat disease. Alternative Therapies in Health and Medicine was the first journal in this field to be indexed in the National Library of Medicine. In 2006, 2007, and 2008, ATHM had the highest impact factor ranking of any independently published peer-reviewed CAM journal in the United States—meaning that its research articles were cited more frequently than any other journal’s in the field.
Alternative Therapies in Health and Medicine does not endorse any particular system or method but promotes the evaluation and appropriate use of all effective therapeutic approaches. Each issue contains a variety of disciplined inquiry methods, from case reports to original scientific research to systematic reviews. The editors encourage the integration of evidence-based emerging therapies with conventional medical practices by licensed health care providers in a way that promotes a comprehensive approach to health care that is focused on wellness, prevention, and healing. Alternative Therapies in Health and Medicine hopes to inform all licensed health care practitioners about developments in fields other than their own and to foster an ongoing debate about the scientific, clinical, historical, legal, political, and cultural issues that affect all of health care.
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