Lin Yarong, Zhu Wenrong, Zhu Qingqiang
Yangzhou University, Northern Jiangsu People's Hospital, Department of Medical Imaging, Yangzhou, China.
Diagn Interv Radiol. 2025 Sep 8;31(5):416-422. doi: 10.4274/dir.2025.242880. Epub 2025 Jul 21.
To quantitatively compare the diagnostic values of conventional diffusion-weighted imaging and diffusion kurtosis imaging (DKI) in differentiating clear cell renal cell carcinoma (ccRCC) and renal angiomyolipoma with minimal fat (RAMF).
Sixty-eight patients with ccRCC and 18 patients with RAMF were retrospectively studied. For DKI and apparent diffusion coefficient (ADC), respiratory-triggered echo-planar imaging sequences were acquired in the axial plane (three -values: 0, 1000, 2000 s/mm; one -value: 2000 s/mm). Mean diffusivity (MD), fractional anisotropy (FA), mean kurtosis (MK), kurtosis anisotropy (KA), radial kurtosis (RK), and ADC were evaluated. The diagnostic efficacy of various diffusion parameters in predicting ccRCC and RAMF was compared.
The ADC and MD values of ccRCCs were higher than those of RAMFs ( < 0.05), whereas comparable FA, MK, and KA values were observed between ccRCCs and RAMFs ( > 0.05). Moreover, the RK values of RAMFs were higher than those of ccRCCs ( < 0.05). Receiver operating characteristic (ROC) curve analyses showed that MD values had the highest diagnostic efficacy in differentiating ccRCCs from RAMFs. In pairwise comparisons of ROC curves and diagnostic efficacy, DKI parameters demonstrated better diagnostic accuracy than ADC in differentiating between ccRCCs and RAMFs ( < 0.05).
DKI analysis demonstrates superior performance than ADC analysis in differentiating ccRCC and RAMF.
DKI technology may serve as an additional non-invasive biomarker for the differential diagnosis of renal tumor types.
定量比较传统扩散加权成像和扩散峰度成像(DKI)在鉴别透明细胞肾细胞癌(ccRCC)和最小脂肪肾血管平滑肌脂肪瘤(RAMF)中的诊断价值。
回顾性研究68例ccRCC患者和18例RAMF患者。对于DKI和表观扩散系数(ADC),在轴面采集呼吸触发的回波平面成像序列(三个值:0、1000、2000 s/mm²;一个值:2000 s/mm²)。评估平均扩散率(MD)、各向异性分数(FA)、平均峰度(MK)、峰度各向异性(KA)、径向峰度(RK)和ADC。比较各种扩散参数预测ccRCC和RAMF的诊断效能。
ccRCC的ADC和MD值高于RAMF(P<0.05),而ccRCC和RAMF之间的FA、MK和KA值相当(P>0.05)。此外,RAMF的RK值高于ccRCC(P<0.05)。受试者操作特征(ROC)曲线分析表明,MD值在区分ccRCC和RAMF方面具有最高的诊断效能。在ROC曲线和诊断效能的成对比较中,DKI参数在区分ccRCC和RAMF方面显示出比ADC更好的诊断准确性(P<0.05)。
DKI分析在鉴别ccRCC和RAMF方面表现优于ADC分析。
DKI技术可作为肾肿瘤类型鉴别诊断的一种额外的非侵入性生物标志物。