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Abstract
Catheter-based renal denervation (RDN) was introduced to treat resistant hypertension. However, the reduction in blood pressure after the RDN was modest. Catheter-based RDN was performed only at main renal arteries, except for accessory and branch arteries due to the diameter being too small for the catheter to approach. Here, we retrospectively analyzed the anatomy of diverse renal arteries via 64-channel multi-detector computed tomography angiograms of 314 consecutive donors who underwent living donor nephrectomy from January 2012 to July 2017. Occurrence rates of one or more accessory renal arteries in donors were 25.3% and 19.4% on the left and right sides, respectively. Early branching rates before 25 mm from the aorta to the right and left renal arteries were 13.7% and 10.5%, respectively. Overall, 63.1% and 78.3% of donors had no accessory artery bilaterally and no branched renal artery, respectively. As a result, 47.1% had only main renal arteries without an accessory artery and early-branching artery. Approximately half of the donors had multiple small renal arteries bilaterally, for which catheter-based denervation may not be suitable. Thus, preoperative computed tomography angiography requires careful attention to patient selection, and there is a need for improved methods for denervation at various renal arteries.
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Details
1 Seoul National University Hospital, Department of Urology, Seoul, Republic of Korea (GRID:grid.412484.f) (ISNI:0000 0001 0302 820X); Pusan National University Yangsan Hospital, Department of Urology, Yangsan, Republic of Korea (GRID:grid.412591.a) (ISNI:0000 0004 0442 9883)
2 Pohang University of Science and Technology (POSTECH), Department of Creative IT Engineering, Pohang, Republic of Korea (GRID:grid.49100.3c) (ISNI:0000 0001 0742 4007)
3 Seoul National University Hospital, Department of Internal Medicine, Seoul, Republic of Korea (GRID:grid.412484.f) (ISNI:0000 0001 0302 820X)
4 Seoul National University Hospital, Department of Urology, Seoul, Republic of Korea (GRID:grid.412484.f) (ISNI:0000 0001 0302 820X)