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Feasibility of Low-Dose and Low-Contrast Media Volume Approach in Computed Tomography Cardiovascular Imaging Reconstructed with Model-Based Algorithm.

Davide IppolitoMarco PortaCesare MainoLuca RivaMaria RagusiTeresa GiandolaPaolo Niccolò FrancoCecilia CangiottiDavide GandolaAndrea De VitoCammillo Talei FranzesiRocco Corso
Published in: Tomography (Ann Arbor, Mich.) (2024)
Aim : To evaluate the dose reduction and image quality of low-dose, low-contrast media volume in computed tomography (CT) examinations reconstructed with the model-based iterative reconstruction (MBIR) algorithm in comparison with the hybrid iterative (HIR) one. Methods: We prospectively enrolled a total of 401 patients referred for cardiovascular CT, evaluated with a 256-MDCT scan with a low kVp (80 kVp) reconstructed with an MBIR (study group) or a standard HIR protocol (100 kVp-control group) after injection of a fixed dose of contrast medium volume. Vessel contrast enhancement and image noise were measured by placing the region of interest (ROI) in the left ventricle, ascending aorta; left, right and circumflex coronary arteries; main, right and left pulmonary arteries; aortic arch; and abdominal aorta. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were computed. Subjective image quality obtained by consensus was assessed by using a 4-point Likert scale. Radiation dose exposure was recorded. Results: HU values of the proximal tract of all coronary arteries; main, right and left pulmonary arteries; and of the aorta were significantly higher in the study group than in the control group ( p < 0.05), while the noise was significantly lower ( p < 0.05). SNR and CNR values in all anatomic districts were significantly higher in the study group ( p < 0.05). MBIR subjective image quality was significantly higher than HIR in CCTA and CTPA protocols ( p < 0.05). Radiation dose was significantly lower in the study group ( p < 0.05). Conclusions: The MBIR algorithm combined with low-kVp can help reduce radiation dose exposure, reduce noise, and increase objective and subjective image quality.
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