Role of Multi Slice Computed Tomography in Assessment of Transposition of Great Arteries

Elghoul, Hebatallah Shalaby and Zaitoun, Hossam Mohammed and Elsheihk, Raghda Ghonimy and Shaker, Neveen Seif Al Islam (2022) Role of Multi Slice Computed Tomography in Assessment of Transposition of Great Arteries. Journal of Advances in Medicine and Medical Research, 34 (23). pp. 437-445. ISSN 2456-8899

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Abstract

Background: Transposition of the great arteries (TGA) is a congenital conotruncal malformation. Imaging has an essential role in evaluating TGA, both prior and post-surgery, aiding in defining the anatomy, quantifying hemodynamics, and assessing complications. This research evaluated the multi-slice computed tomography (MSCT) role in TGA assessment in correlation with echocardiogram and correction either by catheterization or surgically.

Methods: This prospective trial was carried out on 20 cases with suspected or diagnosed cases of TGA and underwent MSCT heart angiography and great vessels for diagnosis confirmation, had limited or incomplete visualization of transposition of great arteries during echocardiography (echo) examination or underwent TGA operations and post-operative follow up. All patients were subjected to history taking from the parents, echo and MSCT.

Results: ECHO can significantly predict TGA (AUC= 0.856, P value <0.001) at cut off ≤6.6 with 79.95% sensitivity, 84.62% specificity, 88.2% PPV and 73.3% NPV. MSCT can significantly predict TGA (AUC= 0.877, P value <0.001) at cut off ≤0.16 with 89.47% sensitivity, 76.92% specificity, 85% PPV and 83.3% NPV. By comparing between ECHO and MSCT as predictors at the same time.

Conclusions: MSCT and transthoracic echocardiogram combination can provide effective and safe imaging for preoperative evaluation, but for post-operative assessment of surgically operated/ catheterized TGA cases, MSCT angiography is the method of choice.

Item Type: Article
Subjects: EP Archives > Medical Science
Depositing User: Managing Editor
Date Deposited: 07 Dec 2022 12:33
Last Modified: 30 May 2024 06:20
URI: http://research.send4journal.com/id/eprint/580

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