LI Meng-ru, WEI Wei, ZHANG Long-long, ZHAO Ying-ming, ZHAO Jing. Diagnostic value of dual-energy spectral CT material quantitative analysis in pancreatic fat deposition[J]. Journal of Bengbu Medical University, 2021, 46(1): 18-21. DOI: 10.13898/j.cnki.issn.1000-2200.2021.01.005
    Citation: LI Meng-ru, WEI Wei, ZHANG Long-long, ZHAO Ying-ming, ZHAO Jing. Diagnostic value of dual-energy spectral CT material quantitative analysis in pancreatic fat deposition[J]. Journal of Bengbu Medical University, 2021, 46(1): 18-21. DOI: 10.13898/j.cnki.issn.1000-2200.2021.01.005

    Diagnostic value of dual-energy spectral CT material quantitative analysis in pancreatic fat deposition

    • ObjectiveTo explore the diagnostic value of dual-energy spectral CT material quantitative analysis for pancreatic fat deposition.
      MethodsA total of 35 patients with metabolic syndrome, such as obesity, hyperglycemia and fatty liver, were selected as the observation group.The CT values of the head, body and tail of pancreas were measured on the single energy image of optimal keV value.The fat contents of the head, body and tail of pancreas were determined on the fat-water material image.The spectral curves of pancreatic tissues were obtained to make the average spectral curves.The results were compared with the fat contents measured in 30 patients who underwent abdominal CT scan for physical examination or other diseases in the control group.
      ResultsAmong 35 cases in the observation group, 8 cases were found with normal body mass index, and the rest were overweight or obesity.The average CT value of pancreas decreased with the increase of body mass index (P < 0.01), while the average fat content increased with the increase of body mass index(P < 0.01).The energy CT value and water content of pancreatic tissues in observation group were significantly lower than those in control group, and the fat content was significantly higher than that in control group(P < 0.01).
      ConclusionsDual-energy spectral CT quantitative analysis can objectively and quantitatively describe the fat deposition in pancreas, and provide more valuable informations for early diagnosis and treatment in clinic.
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