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Evaluation of multi‐slice spiral computed tomography application in the diagnosis of arterial root lesions
Author(s) -
Wang HongZhen,
Li YuanShi,
Tang Liang,
Zhang JinLing,
Xiao XiGang
Publication year - 2020
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.22392
Subject(s) - medicine , spiral computed tomography , radiology , ascending aorta , aortic root , aortic dissection , aortic valve , diagnostic accuracy , aorta , coronary artery disease , sinus (botany) , computed tomography , acute aortic syndrome , tomography , cardiology , botany , biology , genus
The purpose of this study was to investigate the value of multi‐slice spiral computed tomography (MSCT) enhanced scanning and postprocessing techniques in the diagnosis of arterial root lesions (ARL) in order to improve the understanding and diagnostic accuracy of ARL. We retrospectively analyzed the MSCT imaging findings of 1546 patients. MSCT parameters included the aortic valve annulus level, sinuses of Valsalva level, a sinotubular junction level, ascending aorta, effective diameter, aortic wall thickness, coronary artery height, and coronary sinus depth. The specific measurement method used was curved planar reformation. MSCT found 93 cases of aortic valve disease (AVD). The diagnostic accuracy of MSCT for AVD was 91.7% (33/36). MSCT found 95 cases of acute aortic syndrome involving the aortic root, 71 of which were Stanford type A‐aortic dissection (AD), 22 cases of Stanford type A‐interstitial hematoma (IHM), and two cases of penetrating aortic ulcers (PAU). MSCT diagnosed Stanford type A‐AD, Stanford type A‐IHM, and PAU had a specificity of 99.8% and a sensitivity of 98.9%. In conclusion, MSCT enhanced scanning and postprocessing techniques can accurately display the aortic root and adjacent structures, with clear positioning and high diagnostic accuracy, which can provide important basis for clinical diagnosis, preoperative localization, and postoperative follow‐up.