- Poster presentation
- Open Access
Non-invasive quantification of anatomical and functional renal artery vessel wall changes in patients with resistant hypertension undergoing renal denervation using MRI
https://doi.org/10.1186/1532-429X-16-S1-P172
© Doltra et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
Keywords
- Renal Artery
- Resistant Hypertension
- Lumen Area
- Renal Denervation
- Brachial Blood Pressure
Background
Renal Denervation (RDN) is a novel therapy for patients with resistant hypertension. Its direct effects on the renal arteries in humans are poorly examined. We sought to assess renal artery distensibility noninvasively using magnetic resonance imaging (MRI) and to study the effects of RDN on anatomical and functional changes of the renal artery vessel wall.
Methods
19 patients with resistant hypertension undergoing RDN were prospectively included. A 3.0T MRI including contrast-enhanced renal artery angiography was performed before the RDN procedure and at 6-month follow-up. In each patient the proximal part of both renal arteries was imaged for the cross-sectional area measurements using cine spiral MRI. Renal artery sharpness was evaluated with a quantitative analysis tool (Soap-Bubble Tool). In a subgroup of 11 patients, the distensibility (mm Hg(-1) × 10(3)) was determined as (maximum lumen area - minimal lumen area)/(pulse pressure × minimal lumen area). The pulse pressure was calculated as the difference between the systolic and diastolic brachial blood pressure.
Results
Box-plots demonstrating renal artery distensibility measured pre and 6-months post renal denervation in patients with resistant hypertention.
Conclusions
3.0-Tesla MRI, a noninvasive method to assess human renal artery vessel wall sharpness and distensibility, is able to detect no changes in renal artery wall anatomy and function before the RDN procedure and at 6-month follow-up. The effect of enlargement of the renal arteries post RDN suggests a potential effect of RDN on sympathetic tone of the vasculature.
Funding
None.
Authors’ Affiliations
Copyright
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
