Literature DB >> 23916549

Three-dimensional renal CT angiography for guiding segmental renal artery clamping during laparoscopic partial nephrectomy.

Yi Xu1, Pengfei Shao, Xiaomei Zhu, Qiang Lv, Wangyan Liu, Hai Xu, Yinsu Zhu, Guangyu Yang, Lijun Tang, Changjun Yin.   

Abstract

AIM: To evaluate the effectiveness of three-dimensional (3D) renal computed tomography angiography (CTA) in guiding segmental renal artery clamping during laparoscopic partial nephrectomy (LPN).
MATERIALS AND METHODS: Forty-three patients with renal tumours undergoing renal CTA before LPN were retrospectively enrolled in this study. 3D arteriogram reconstructed images were created to identify the renal tumour-supplying arteries. The number and location of these targeted vessels were annotated on 3D images preoperatively and compared with the clamped vessels during LPN. The consistency between target vessels annotated at CTA and clamped arteries at LPN was compared both using a patient-based analysis and vessel-based analysis. The χ(2) test was applied to analyse the influence of tumour size, location, and growth pattern on the number of clamped segmental renal branches.
RESULTS: On patient-based analysis, the number of targeted vessels was consistent with the clamped vessels during LPN in 33 of 43 patients. On vessel-based analysis, 56 of 65 target vessels annotated at CTA were clamped during LPN. More segmental renal branches (p = 0.04) were clamped in patients with tumours of larger size. Tumour location and growth pattern had no association with the number of clamped segmental branches during LPN.
CONCLUSION: High-quality CTA images and 3D reconstruction images can detect detailed information of tumour-supplying arteries to renal tumours. 3D renal CTA is an effective way to guide segmental renal artery clamping during LPN.
Copyright © 2013 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23916549     DOI: 10.1016/j.crad.2013.06.002

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


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