Department of Radiology; August Pi i Sunyer Biomedical Research Institute (IDIBAPS).
Department of Nuclear Medicine.
Eur J Radiol. 2020 Nov;132:109299. doi: 10.1016/j.ejrad.2020.109299. Epub 2020 Sep 21.
To compare the diagnostic accuracy of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced-magnetic resonance imaging (DCE-MRI) involving two region of interest (ROI) sizes with 18-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) to differentiate diabetic foot osteomyelitis (DFO) from Charcot neuro-osteoarthropathy (CN).
Thirty-one diabetic patients were included in this prospective study. Two readers independently evaluated DWI (apparent diffusion coefficient [ADC] and high-b-value signal pathological-to-normal bone ratio [DWIr]) and DCE-MRI parameters (K, K, V, internal area under the gadolinium curve at 60 s [iAUC] and time intensity curve [TIC]) using two different ROI sizes, and F-FDG PET/CT parameters (visual assessment, SUV, delayed SUV, and percentage changes between SUV and delayed SUV). Techniques were compared by univariate analysis using the area under the receiver operating characteristic curve [AUC]. Reliability was analyzed with Kappa and Intraclass correlation [ICC].
DWIr, K and iAUC showed better diagnostic accuracy (AUC = 0.814-0.830) and reliability (ICC > 0.9) for large than for small ROIs (AUC = 0.736-0.750; ICC = 0.6 in K, 0.8 in DWIr and iAUC). TIC showed moderate diagnostic performance (AUC = 0.739-0.761) and reliability (κ 0.7). Visual assessment of F-FDG PET/CT demonstrated a significantly higher accuracy (AUC = 0.924) than MRI parameters. Semi-quantitative F-FDG PET/CT parameters did not provide significant improvement over visual analysis (AUC = 0.848-0.903).
DWIr, K and iAUC allowed reliable differentiation of DFO and CN, particularly for large ROIs. Visual assessment of F-FDG PET/CT was the most accurate technique for differentiation.
比较两种感兴趣区(ROI)大小的扩散加权成像(DWI)和动态对比增强磁共振成像(DCE-MRI)与 18 氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描(F-FDG PET/CT)的诊断准确性,以区分糖尿病足骨髓炎(DFO)和夏科氏神经骨关节病(CN)。
本前瞻性研究纳入 31 例糖尿病患者。两位观察者独立评估 DWI(表观扩散系数 [ADC] 和高 b 值信号病理性与正常骨比值 [DWIr])和 DCE-MRI 参数(K、K、V、60 秒内钆内面积下的内部曲线下面积 [iAUC] 和时间强度曲线 [TIC]),使用两种不同 ROI 大小,并评估 F-FDG PET/CT 参数(视觉评估、SUV、延迟 SUV 和 SUV 与延迟 SUV 之间的百分比变化)。使用受试者工作特征曲线下面积(AUC)进行单变量分析比较技术。使用 Kappa 和组内相关系数 [ICC] 分析可靠性。
DWIr、K 和 iAUC 对大 ROI 显示出更好的诊断准确性(AUC=0.814-0.830)和可靠性(ICC>0.9),而小 ROI 则为 0.736-0.750(K 的 ICC 为 0.6,DWIr 和 iAUC 的 ICC 为 0.8)。TIC 显示出中等的诊断性能(AUC=0.739-0.761)和可靠性(κ 0.7)。F-FDG PET/CT 的视觉评估显示出明显更高的准确性(AUC=0.924),优于 MRI 参数。半定量 F-FDG PET/CT 参数与视觉分析相比没有显著改善(AUC=0.848-0.903)。
DWIr、K 和 iAUC 可可靠地区分 DFO 和 CN,尤其是大 ROI。F-FDG PET/CT 的视觉评估是最准确的区分技术。