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Comparison of bi-exponential and mono-exponential models of diffusion-weighted imaging for detecting active sacroiliitis in ankylosing spondylitis.
Sun, Haitao; Liu, Kai; Liu, Hao; Ji, Zongfei; Yan, Yan; Jiang, Lindi; Zhou, Jianjun.
Afiliação
  • Sun H; 1 Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Medical Imaging Institute, Department of Medical Imaging, Shanghai Medical School of Fudan University, Shanghai, PR China.
  • Liu K; 1 Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Medical Imaging Institute, Department of Medical Imaging, Shanghai Medical School of Fudan University, Shanghai, PR China.
  • Liu H; 1 Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Medical Imaging Institute, Department of Medical Imaging, Shanghai Medical School of Fudan University, Shanghai, PR China.
  • Ji Z; 2 Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, PR China.
  • Yan Y; 2 Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, PR China.
  • Jiang L; 2 Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, PR China.
  • Zhou J; 1 Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Medical Imaging Institute, Department of Medical Imaging, Shanghai Medical School of Fudan University, Shanghai, PR China.
Acta Radiol ; 59(4): 468-477, 2018 Apr.
Article em En | MEDLINE | ID: mdl-28741366
ABSTRACT
Background There has been a growing need for a sensitive and effective imaging method for the differentiation of the activity of ankylosing spondylitis (AS). Purpose To compare the performances of intravoxel incoherent motion (IVIM)-derived parameters and the apparent diffusion coefficient (ADC) for distinguishing AS-activity. Material and Methods One hundred patients with AS were divided into active (n = 51) and non-active groups (n = 49) and 21 healthy volunteers were included as control. The ADC, diffusion coefficient ( D), pseudodiffusion coefficient ( D*), and perfusion fraction ( f) were calculated for all groups. Kruskal-Wallis tests and receiver operator characteristic (ROC) curve analysis were performed for all parameters. Results There was good reproducibility of ADC /D and relatively poor reproducibility of D*/f. ADC, D, and f were significantly higher in the active group than in the non-active and control groups (all P < 0.0001, respectively). D* was slightly but significant lower in the active group than in the non-active and control group ( P = 0.0064, 0.0215). There was no significant difference in any parameter between the non-active group and the control group (all P > 0.050). In the ROC analysis, ADC had the largest AUC for distinguishing between the active group and the non-active group (0.988) and between the active and control groups (0.990). Multivariate logistic regression analysis models showed no diagnostic improvement. Conclusion ADC provided better diagnostic performance than IVIM-derived parameters in differentiating AS activity. Therefore, a straightforward and effective mono-exponential model of diffusion-weighted imaging may be sufficient for differentiating AS activity in the clinic.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espondilite Anquilosante / Processamento de Imagem Assistida por Computador / Imagem de Difusão por Ressonância Magnética / Sacroileíte Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espondilite Anquilosante / Processamento de Imagem Assistida por Computador / Imagem de Difusão por Ressonância Magnética / Sacroileíte Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article