Assessing Image Quality and Diagnostic Performance of Quadruple-Low Coronary CT Angiography with Deep Learning in High-BMI Patients. | ClinicLens

To examine the feasibility of a quadruple-low protocol in coronary computed tomography angiography (CCTA) assisted by the deep learning image reconstruction (DLIR) for participants with high body mass index (BMI). This prospective study involved 180 participants (BMI of ≥ 25 kg/m

Medical Literature · Updated 2026-08-07

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