Computed tomography-based multiple body composition parameters predict outcomes in Crohn’s disease

Autor: Ziling Zhou, Ziman Xiong, Qingguo Xie, Peng Xiao, Qingpeng Zhang, Jian Gu, Jing Li, Daoyu Hu, Xuemei Hu, Yaqi Shen, Zhen Li
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Insights into Imaging, Vol 12, Iss 1, Pp 1-12 (2021)
Druh dokumentu: article
ISSN: 1869-4101
DOI: 10.1186/s13244-021-01083-6
Popis: Abstract Background The efficacy of computed tomography-based multiple body composition parameters in assessing disease behavior and prognosis has not been comprehensively evaluated in Crohn’s disease. This study aimed to assess the association of body composition parameters with disease behavior and outcomes in Crohn’s disease and to compare the efficacies of indexes derived from body and lumbar spinal heights in body composition analysis. Results One hundred twenty-two patients with confirmed Crohn’s disease diagnoses and abdominal computed tomography scans were retrospectively included in this study. Skeletal muscle, visceral, and subcutaneous fat indexes were calculated by dividing each type of tissue area by height2 and lumbar spinal height2. Parameters reflecting the distribution of adiposity were also assessed. Principal component analysis was used to deal with parameters with multicollinearity. Patients were grouped according to their disease behavior (inflammatory vs. structuring/penetrating) and outcomes. Adverse outcome included need for intestinal surgery or anti-TNF therapy. Predictors of disease course from multiple parameters were evaluated using multivariate analysis. Indexes derived from body and lumbar spinal heights were strongly correlated (r, 0.934–0.995; p
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