盒内非相干运动
医学
部分各向异性
磁共振弥散成像
磁共振成像
肾病
病态的
有效扩散系数
病理
胃肠病学
泌尿科
内科学
核医学
放射科
内分泌学
糖尿病
作者
Huan Zhou,Si Yi,Jing Wang,Yi Wang,Yitian Xiao,Yi Tang,Wei Qin
出处
期刊:British Journal of Radiology
[British Institute of Radiology]
日期:2024-07-29
摘要
Abstract Objectives To explore the efficacy of diffuse magnetic resonance imaging (MRI) for identifying clinicopathological changes in immunoglobulin A nephropathy (IgAN) patients. Methods The study enrolled IgAN patients and healthy volunteers. IgAN patients were divided into group 1 (eGFR ≥ 90 ml/min/1.73m2), group 2 (60 ≤ eGFR < 90 ml/min/1.73m2), and group 3 (eGFR < 60 ml/min/1.73m2). Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and diffusion tensor imaging (DTI) were performed via 3.0 T magnetic resonance. Diffuse MRI, clinical, and pathological indicators were collected and analyzed. P < 0.05 was considered statistically significant. Results Forty-six IgAN patients and twenty-seven volunteers were enrolled. The apparent diffusion coefficient (ADC), diffusion coefficient (D), perfusion fraction (f), and fractional anisotropy (FA) were significantly different among IgAN subgroups and controls. These parameters were positively correlated with eGFR and negatively with creatinine, and inversely correlated with glomerular sclerosis, interstitial fibrosis, and tubular atrophy (all P < 0.05). They had significantly high area under the curve (AUC) for distinguishing IgAN patients from controls, while FA had the highest AUC in identifying Group 1 IgAN patients from volunteers. Conclusions DTI and IVIM-DWI had the advantage of evaluating clinical and pathological changes in IgAN patients. DTI was superior at distinguishing early IgAN patients and might be a noninvasive marker for screening early IgAN patients from healthy individuals. Advances in knowledge DTI and IVIM-DWI could evaluate clinical and pathological changes and correlated with Oxford classification in IgAN patients. They could also identify IgAN patients from healthy populations, while DTI had superiority in differentiating early IgAN patients.
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