Acquired renal arteriovenous malformation: the diagnostic value of three-dimensional multidetector-row computed tomography ⁎

Author:

Wang Qiuxia1,Chen Liang2,Hu Xuemei1,Hu Yao1,Hu Daoyu1,Li Zhen1

Affiliation:

1. Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

2. Department of Radiology, Binzhou Medical University Hospital, Binzhou 256603, China

Abstract

Abstract Objective To evaluate the diagnostic value of three-dimensional multidetector-row computed tomography (MDCT) in detecting acquired renal arteriovenous malformation (RAVM) and to compare its performance with that of ultrasonography and digital subtraction angiography (DSA). Methods The institutional review board approved this retrospective study and written informed consent was obtained from all patients before examination. All 14 patients with acquired RAVM underwent MDCT, including cortical and medullary phase enhancement angiography and three-dimensional (3D) reconstruction. Five and nine patients were further examined and their diagnoses confirmed by DSA and surgery, respectively. The MDCT images, including 3D reconstructions, were analyzed for RAVM independently and in consensus by two observers using a workstation. Results Among the 14 patients with acquired RAVM, 12 with maximum lesion diameter ≥ 10 mm, and one with a maximum lesion diameter between 5 and 10 mm, were correctly diagnosed with MDCT angiography. Among these patients, four diagnoses were confirmed by DSA. One patient with a lesion 5-10 mm in diameter was misdiagnosed with a renal aneurysm by MDCT angiography. The other one with the maximum diameter of the lesion between 5 mm and 10 mm was misdiagnosed as renal aneurysm with MDCT angiography, which was diagnosed as renal arteriovenous malformation with DSA. Among 14 lesions in 14 patients, eight and six originated in the left and right kidney, respectively. Conclusion MDCT angiography can accurately diagnose RAVM and improve our understanding of the disease, which will allow clinicians to provide better care.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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