کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3981556 1257695 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessment of renal fibrosis in chronic kidney disease using diffusion-weighted MRI
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی تومور شناسی
پیش نمایش صفحه اول مقاله
Assessment of renal fibrosis in chronic kidney disease using diffusion-weighted MRI
چکیده انگلیسی


• Renal ADC values in the CKD patients were lower than those in controls.
• Renal ADC values were strongly correlated with histological fibrosis score.
• Renal ADC values have the potential to enhance the noninvasive monitoring of CKD.

AimTo assess the performance of diffusion-weighted magnetic resonance imaging (MRI) for the assessment of renal fibrosis in chronic kidney disease (CKD), with histopathology as a reference standard.Materials and methodsForty patients with CKD and 30 healthy volunteers were recruited for the study. All participants underwent diffusion-weighted MRI. Renal biopsy was performed in 25 patients with CKD. Mean renal medullary and cortical apparent diffusion coefficient (ADC) values were compared between CKD patients and the healthy volunteers. Pearson's correlation coefficient was calculated to investigate the relationship between ADC values, serum creatinine (SCr), estimated glomerular filtration rate (eGFR), 24 h urinary protein (24h-UPRO), and renal histopathological scores.ResultsCortical and medullary ADC values in the CKD group were significantly lower compared to those in the healthy controls. In the CKD group, a significant negative correlation was found between cortical ADC values and SCr/24h-UPRO, and significant positive correlation was found between cortical ADC and eGFR. There was also a significant negative correlation between medullary ADC values and SCr. Both cortical and medullary ADC values were significantly correlated with histopathological fibrosis score.ConclusionRenal ADC values strongly correlate with histological measures of fibrosis, and have the potential to enhance the non-invasive monitoring of chronic kidney disease.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinical Radiology - Volume 69, Issue 11, November 2014, Pages 1117–1122
نویسندگان
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