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• W2596108492 abstract "•Quantitative MRI helps the differentiation of malignant from benign bone tumours. •This study showed the optimal cut-off value for each quantitative parameter. •Hybrid parameter is better in differentiating malignant and benign bone tumours. Aim To evaluate and compare the diagnostic performance of quantitative parameters derived from diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating benign and malignant bone tumours. Materials and methods Fifty-five patients (age range, 21–82 years; mean age, 55 years) underwent pretreatment MRI. Apparent diffusion coefficient (ADC) values were calculated by DWI. The DCE-MRI data were analysed for the volume transfer constant (Ktrans), extravascular extracellular volume fraction (Ve), and volume rate constant (Kep), and Ktrans/ADC ratio. Each parameter's performance was evaluated using the area under the receiver operating characteristic (ROC) curv (AUC), and their AUCs were compared. ROC curves were analysed and each parameter's optimal cut-off value was determined, from which each parameter was evaluated for sensitivity, specificity, accuracy, and positive and negative predictive values. The odds ratio (OR) with 95% confidence interval for detecting malignant bone lesions after adjusting the age factor of each parameter was estimated. Results All parameter values (except Ve) were significantly different between benign and malignant bone tumours (p<0.05). The Ktrans had a significantly greater AUC than Ve (p=0.03). The Ktrans/ADC and Kep had the best sensitivity (0.917) and specificity (0.632), respectively. The Kep and Ktrans/ADC had the best positive (0.811) and negative (0.769) predictive values, respectively. The OR was highest for Ktrans/ADC (17.38; p=0.0013). Conclusion The Ktrans, Kep, ADC, and Ktrans/ADC could help to detect malignant lesions from bone tumours and Ktrans/ADC appears to be the superior variable among them. To evaluate and compare the diagnostic performance of quantitative parameters derived from diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating benign and malignant bone tumours. Fifty-five patients (age range, 21–82 years; mean age, 55 years) underwent pretreatment MRI. Apparent diffusion coefficient (ADC) values were calculated by DWI. The DCE-MRI data were analysed for the volume transfer constant (Ktrans), extravascular extracellular volume fraction (Ve), and volume rate constant (Kep), and Ktrans/ADC ratio. Each parameter's performance was evaluated using the area under the receiver operating characteristic (ROC) curv (AUC), and their AUCs were compared. ROC curves were analysed and each parameter's optimal cut-off value was determined, from which each parameter was evaluated for sensitivity, specificity, accuracy, and positive and negative predictive values. The odds ratio (OR) with 95% confidence interval for detecting malignant bone lesions after adjusting the age factor of each parameter was estimated. All parameter values (except Ve) were significantly different between benign and malignant bone tumours (p<0.05). The Ktrans had a significantly greater AUC than Ve (p=0.03). The Ktrans/ADC and Kep had the best sensitivity (0.917) and specificity (0.632), respectively. The Kep and Ktrans/ADC had the best positive (0.811) and negative (0.769) predictive values, respectively. The OR was highest for Ktrans/ADC (17.38; p=0.0013). The Ktrans, Kep, ADC, and Ktrans/ADC could help to detect malignant lesions from bone tumours and Ktrans/ADC appears to be the superior variable among them." @default.
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• W2596108492 date "2017-07-01" @default.
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• W2596108492 title "Multiparametric approach with diffusion-weighted imaging and dynamic contrast-enhanced MRI: a comparison study for differentiating between benign and malignant bone lesions in adults" @default.
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• W2596108492 doi "https://doi.org/10.1016/j.crad.2017.02.017" @default.
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