ArticleIranian journal of radiology : a quarterly journal published by the Iranian Radiological Society2015
Preliminary study on the kidney elasticity quantification in patients with chronic kidney disease using virtual touch tissue quantification.
Article in Iranian journal of radiology : a quarterly journal published by the Iranian Radiological Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.Ultrasound in medicine & biology · 2019Article
- Clinical Values of Studying Kidney Elasticity with Virtual Touch Quantification in Gestational Hypertension Patients.Medical science monitor : international medical journal of experimental and clinical research · 2016Article
- Renal Cortical Elastography: Normal Values and Variations.Journal of medical ultrasoundArticle
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Abstract
backgroundVirtual touch tissue quantification (VTTQ) provides numerical measurements (shear wave velocity (SWV) values) of tissue stiffness.
objectivesThe purpose of this study was to describe the SWV values of the kidney by VTTQ and to examine the clinical usefulness of this procedure in the evaluation of elasticity changes in the kidneys of patients with chronic kidney disease (CKD). PATIENTS AND
methodsSixty-five patients with CKD and seventy healthy participants were included in this study. A total of 270 kidneys were examined by VTTQ. The kidney elasticity was expressed as shear wave velocity. The SWV values, blood serum creatinine (Scr)/BUN and pathological findings were analyzed and compared between patients with CKD and healthy participants.
resultsIn patients with CKD and healthy participants, the SWV values both gradually decreased from the renal cortex to the medulla and renal sinus The SWV value of the renal cortex in patients with CKD was less than that of healthy participants (P < 0.05), and the SWV value of the renal cortex in patients with renal insufficiency was significantly less than in those with normal renal function (2.46 ± 0.15 vs. 3.45 ± 0.26 m/s, P < 0.05). The best cutoff value for predicting renal insufficiency (Scr > 1.24 mg/dL or/and BUN > 21 mg/DL) was a SWV value of the renal cortex of less than 1.92 m/s with a sensitivity of 84.4% (95% CI: 67.2-94.7%) and a specificity of 96.8% (95% CI: 83.3-99.9%) (P < 0.001).
conclusionVTTQ can sensitively detect the elasticity changes in patients with CKD, and it can effectively predict renal insufficiency. This technology provides a valuable tool for the assessment of CKD.
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