Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
Abdominal Radiology
Published in: Abdominal Radiology 4/2014

01-08-2014

3T magnetic resonance diffusion tensor imaging in chronic kidney disease

Authors: Wen-juan Wang, Margaret H. Pui, Yan Guo, Li-qin Wang, Huan-jun Wang, Mingjuan Liu

Published in: Abdominal Radiology | Issue 4/2014

Login to get access

Abstract

Objective

To investigate the relationship of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values with renal function on 3T diffusion tensor imaging (DTI) in chronic kidney disease.

Materials and methods

Twenty healthy volunteers and 29 patients with CKD underwent DTI. The relationship among ADC, FA, and renal function was analyzed.

Results

Cortical and medullary ADC and FA values of patients with chronic kidney disease were lower than those of healthy volunteers (P = 0.000). Both the renal ADC and FA values correlated inversely with serum creatinine and blood urea nitrogen (P < 0.05).

Conclusion

DTI is a feasible and non-invasive means to reflect the severity of renal function damaged.
Literature
1.
Yang D, Ye Q, Williams DS, et al. (2004) Normal and transplanted rat kidneys: diffusion MR imaging at 7 T. Radiology 231:702–709PubMedCrossRef
2.
Eisenberger U, Thoeny HC, Binser T, et al. (2010) Evaluation of renal allograft function early after transplantation with diffusion-weighted MR imaging. Eur Radiol 20:1374–1383PubMedCrossRef
3.
Namimoto T, Yamashita Y, Mitsuzaki K, et al. (1999) Measurement of the apparent diffusion coefficient in diffuse renal disease by diffusion-weighted echo-planar MR imaging. J Magn Reson Imaging 9:832–837PubMedCrossRef
4.
Ries M, Basseau F, Tyndal B, et al. (2003) Renal diffusion and BOLD MRI in experimental diabetic nephropathy. Blood oxygen level-dependent. J Magn Reson Imaging 17:104–113PubMedCrossRef
5.
Yildirim E, Kirbas I, Teksam M, et al. (2008) Diffusion-weighted MR imaging of kidneys in renal artery stenosis. Eur J Radiol 65:148–153PubMedCrossRef
6.
Bozgeyik Z, Kocakoc E, Sonmezgoz F (2009) Diffusion-weighted MR imaging findings of kidneys in patients with early phase of obstruction. Eur J Radiol 70:138–141PubMedCrossRef
7.
Chan JH, Tsui EY, Luk SH, et al. (2001) MR diffusion-weighted imaging of kidney: differentiation between hydronephrosis and pyonephrosis. Clin Imaging 25:110–113PubMedCrossRef
8.
Karadeli E, Ulu EM, Yildirim E, et al. (2010) Diffusion-weighted MR imaging of kidneys in patients with systemic lupus erythematosus: initial experience. Rheumatol Int 30:1177–1181PubMedCrossRef
9.
Toya R, Naganawa S, Kawai H, et al. (2010) Correlation between estimated glomerular filtration rate (eGFR) and apparent diffusion coefficient (ADC) values of the kidneys. Magn Reson Med Sci 9:59–64PubMedCrossRef
10.
Carbone SF, Gaggioli E, Ricci V, et al. (2007) Diffusion-weighted magnetic resonance imaging in the evaluation of renal function: a preliminary study. Radiol Med 112(8):1201–1210PubMedCrossRef
11.
Xu Y, Wang X, Jiang X (2007) Relationship between the renal apparent diffusion coefficient and glomerular filtration rate: preliminary experience. J Magn Reson Imaging 26:678–681PubMedCrossRef
12.
Ries M, Jones RA, Basseau F, et al. (2001) Diffusion tensor MRI of the human kidney. J Magn Reson Imaging 14:42–49PubMedCrossRef
13.
Kataoka M, Kido A, Yamamoto A, et al. (2009) Diffusion tensor imaging of kidneys with respiratory triggering: optimization of parameters to demonstrate anisotropic structures on fraction anisotropy maps. J Magn Reson Imaging 29:736–744PubMedCrossRef
14.
Gurses B, Kilickesmez O, Tasdelen N, et al. (2011) Diffusion tensor imaging of the kidney at 3 Tesla: normative values and repeatability of measurements in healthy volunteers. Diagn Interv Radiol 17:317–322PubMed
15.
Notohamiprodjo M, Dietrich O, Horger W, et al. (2010) Diffusion tensor imaging (DTI) of the kidney at 3 Tesla—feasibility, protocol evaluation and comparison to 1.5 Tesla. Invest Radiol 45:245–254PubMedCrossRef
16.
Cutajar M, Clayden JD, Clark CA, Gordon I (2011) Test-retest reliability and repeatability of renal diffusion tensor MRI in healthy subjects. Eur J Radiol 80:e263–e268PubMedCrossRef
17.
Sigmund EE, Vivier PH, Sui D, et al. (2012) Intravoxel incoherent motion and diffusion-tensor imaging in renal tissue under hydration and furosemide flow challenges. Radiology 263:758–769PubMedCrossRef
18.
Cheung JS, Fan SJ, Chow AM, et al. (2010) Diffusion tensor imaging of renal ischemia reperfusion injury in an experimental model. NMR Biomed 23:496–502PubMedCrossRef
19.
Notohamiprodjo M, Glaser C, Herrmann KA, et al. (2008) Diffusion tensor imaging of the kidney with parallel imaging: initial clinical experience. Invest Radiol 43:677–685PubMedCrossRef
20.
21.
National Kidney Foundation (2002) K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39(2 Suppl 1):S1–266
22.
Xu X, Fang W, Ling H, et al. (2010) Diffusion-weighted MR imaging of kidneys in patients with chronic kidney disease: initial study. Eur Radiol 20:978–983PubMedCrossRef
23.
Namimoto T, Yamashita Y, Mitsuzaki K, et al. (1999) Measurement of the apparent diffusion coefficient in diffuse renal disease by diffusion-weighted echo-planar MR imaging. J Magn Reson Imaging 9:832–837PubMedCrossRef
24.
Hueper K, Gutberlet M, Rodt T, et al. (2011) Diffusion tensor imaging and tractography for assessment of renal allograft dysfunction-initial results. Eur Radiol 21:2427–2433PubMedCrossRef
Metadata
Title
3T magnetic resonance diffusion tensor imaging in chronic kidney disease
Authors
Wen-juan Wang
Margaret H. Pui
Yan Guo
Li-qin Wang
Huan-jun Wang
Mingjuan Liu
Publication date
01-08-2014
Publisher
Springer US
Published in
Abdominal Radiology / Issue 4/2014
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-014-0116-y

Other articles of this Issue 4/2014

Abdominal Radiology 4/2014 Go to the issue

Review Paper

Cross-sectional imaging of perforated gallbladder

Erratum

Erratum to: Lymphotrophic nanoparticle enhanced MR imaging (LNMRI) for lymph node imaging

Review Paper

Hematopoietic tumors of the female genital system: imaging features with pathologic correlation

Review Paper

From esophagus to rectum: a comprehensive review of alimentary tract perforations at computed tomography

OriginalPaper

Diagnostic ability of 99mTc-HSA-DTPA scintigraphy in combination with SPECT/CT for gastrointestinal bleeding

Erratum

Erratum to: ACR appropriateness criteria® imaging of mesenteric ischemia
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Reserve your place

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

Read more

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine
Image Credits