Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jie Fang Avenue, Hankou, Wuhan 430030, PR China.
Department of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hankou, Wuhan, PR China.
Acad Radiol. 2021 Oct;28(10):1375-1382. doi: 10.1016/j.acra.2020.05.039. Epub 2020 Jul 1.
To evaluate the diagnostic performance of parameters derived from multimodel diffusion weighted imaging (monoexponential, stretched-exponential diffusion weighted imaging and diffusion kurtosis imaging [DKI]) from noninvasive magnetic resonance imaging in distinguishing obstructive azoospermia (OA) from nonobstructive azoospermia (NOA).
Forty-six patients with azoospermia were prospectively enrolled and classified into two groups (21 OA patients and 25 NOA patients). The multimodel parameters of diffusion-weighted imaging (DWI; apparent diffusion coefficient [ADC], distributed diffusion coefficient [DDC], diffusion heterogeneity [α], diffusion kurtosis diffusivity [D], and diffusion kurtosis coefficient [K]) were derived. The diagnostic performance of these parameters for the differentiation of OA and NOA patients were evaluated using receiver operating characteristic analysis. The area under the curve (AUC) was calculated to evaluate the diagnostic accuracy of each parameter.
All the parameters (ADC, α, DDC, D and K) values were significantly different between OA and NOA (P < 0.001 for all). For the differentiation of OA from NOA, K showed the highest AUC value (0.965), followed by DDC (0.946), D (0.933), ADC (0.922), and α (0.887). K had a significantly higher AUC than the conventional ADC (P < 0.05).
Parameters derived from multimodels of DWI have the potential for the noninvasive differentiation of OA and NOA. The K value derived from the DKI model might serve as a useful imaging marker for the differentiation of azoospermia.
评估多模型磁共振扩散加权成像(单指数、拉伸指数扩散加权成像和扩散峰度成像[DKI])衍生参数在鉴别梗阻性无精子症(OA)与非梗阻性无精子症(NOA)中的诊断性能。
前瞻性纳入 46 例无精子症患者,分为两组(21 例 OA 患者和 25 例 NOA 患者)。获得扩散加权成像(DWI)的多模型参数(表观扩散系数[ADC]、分布扩散系数[DDC]、扩散异质性[α]、扩散峰度弥散度[D]和扩散峰度系数[K])。采用受试者工作特征分析评估这些参数鉴别 OA 和 NOA 患者的诊断性能。计算曲线下面积(AUC)评估每个参数的诊断准确性。
OA 和 NOA 之间所有参数(ADC、α、DDC、D 和 K)值均有显著差异(P < 0.001)。用于区分 OA 和 NOA,K 显示出最高的 AUC 值(0.965),其次是 DDC(0.946)、D(0.933)、ADC(0.922)和α(0.887)。K 的 AUC 值明显高于常规 ADC(P < 0.05)。
DWI 多模型衍生参数具有非侵入性鉴别 OA 和 NOA 的潜力。DKI 模型衍生的 K 值可能是鉴别无精子症的一种有用的成像标志物。