Preliminary Feasibility Study on Diffusion Kurtosis Imaging to Monitor the Early Functional Alterations of Kidneys in Streptozocin-Induced Diabetic Rats

Cheng, Zhong‐Yuan; Chen, Ping-Kang; Feng, You‐Zhen; Chen, Xiao-Qiao; Qian, Long; Cai, Xiang‐Ran

doi:10.1016/j.acra.2022.09.016

Cited by 1 publication

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2014, a study first reported the feasibility of DKI in the kidneys of healthy volunteers [ 18 ]. Over the past decade, numerous studies have investigated the application of DKI in kidney diseases to assess renal injury, such as renal tumors [ 19 – 21 ], acute kidney injury from various causes [ 12 , 22 , 23 ], chronic kidney disease [ 13 , 24 , 25 ], diabetic nephropathy [ 12 , 26 , 27 ], IgA nephropathy [ 28 , 29 ], and lupus nephritis [ 30 ]. However, few studies have applied DKI to assess renal injury in patients with PA.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of stretched-exponential and kurtosis models of diffusion-weighted imaging in renal assessment to distinguish patients with primary aldosteronism from healthy controls

Wen,

Peng,

Yue

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Purpose To compare the ability of diffusion parameters obtained by stretched-exponential and kurtosis models of diffusion-weighted imaging (DWI) to distinguish between patients with primary aldosteronism (PA) and healthy controls (HCs) in renal assessment. Materials and methods A total of 44 participants (22 patients and 22 HCs) underwent renal MRI with an 11 b-value DWI sequence and a 3 b-value diffusion kurtosis imaging (DKI) sequence from June 2021 to April 2022. Binary logistic regression was used to construct regression models combining different diffusion parameters. Receiver-operating characteristic (ROC) curve analysis and comparisons were used to evaluate the ability of single diffusion parameters and combined diffusion models to distinguish between the two groups. Results A total of six diffusion parameters (including the cortical anomalous exponent term [α_Cortex], medullary fractional anisotropy [FA_Medulla], cortical FA [FA_Cortex], cortical axial diffusivity [Da_Cortex], medullary mean diffusivity [MD_Medulla] and medullary radial diffusivity [Dr_Medulla]) were included, and 10 regression models were studied. The area under the curve (AUC) of Dr_Medulla was 0.855, comparable to that of FA_Cortex and FA_Medulla and significantly higher than that of α_Cortex, Da_Cortex and MD_Medulla. The AUC of the Model_all parameters was 0.967, comparable to that of Model_FA (0.946) and Model_DKI (0.966) and significantly higher than that of the other models. The sensitivity and specificity of Model_all parameters were 87.2% and 95%, respectively. Conclusion The Model_all parameters, Model_FA and Model_DKI were valid for differentiating between PA patients and HCs with similar differentiation efficacy and were superior to single diffusion parameters and other models.

show abstract