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Aslan, Zeynep S.

Mayo Clinic

The University of Texas Southwestern Medical Center

Citations 2

Tips and Tricks for Interpreting Coronary CT Angiography – Part 1: Identifying Artifacts and Avoiding Misdiagnosis
Canan, Arzu , Wiessman, Maya , Aslan, Zeynep S., Rajiah, Prabhakar , Rajiah, Prabhakar

Canadian Association of Radiologists Journal | February 16, 2026 | Volume: 77 | Issue: 3 | Pages: 562-578

10.1177/08465371251413217 Get It

Coronary CT angiography (CCTA) offers excellent negative predictive value for ruling out obstructive coronary artery disease (CAD); however, several interpretative pitfalls can lead to diagnostic errors including false-negative, false-positive results or inaccurate estimation of degree of stenosis. These errors may influence patient management, prompt unnecessary or missed downstream testing, and ultimately affect clinical outcomes. This two-part article reviews the most common sources of diagnostic inaccuracy in CCTA through case-based examples. Part I highlights factors that contribute to missed or overdiagnosed coronary lesions while Part II focuses on pitfalls that lead to underestimation or overestimation of stenosis severity and outlines practical strategies to mitigate these errors. Recognizing the inherent limitations of CCTA and employing a systematic, structured interpretive approach are essential for preserving its high diagnostic accuracy and ensuring optimal patient care.
Tips and Tricks for Interpreting Coronary CT Angiography – Part 2: Accurate Assessment of Stenosis Severity
Canan, Arzu , Wiessman, Maya , Aslan, Zeynep S., Rajiah, Prabhakar , Rajiah, Prabhakar

Canadian Association of Radiologists Journal | February 16, 2026 | Volume: 77 | Issue: 3 | Pages: 579-593

10.1177/08465371251413195 Get It

Accurate quantification of coronary stenosis on coronary CT angiography (CCTA) is essential for appropriate risk stratification and clinical decision-making, yet several technical and interpretative pitfalls can compromise diagnostic accuracy. This second part of a two-part review examines common factors that lead to overestimation or underestimation of stenosis severity, with attention to how these errors influence CAD-RADS categorization, downstream testing, and patient management. Using case-based examples, we describe key contributors to misinterpretation and present practical strategies to mitigate these pitfalls. By recognizing these nuances and employing a structured, standardized interpretive approach, readers can minimize errors in stenosis assessment and enhance the reliability of CCTA as a noninvasive tool for evaluating coronary artery disease.