Artificial Intelligence Iterative Reconstruction Algorithm Combined with Low-Dose Aortic CTA for Preoperative Access Assessment of Transcatheter Aortic Valve Implantation: A Prospective Cohort Study.

Authors

Li Q,Liu D,Li K,Li J,Zhou Y

Affiliations (3)

  • Department of Radiology, Yongchuan Hospital of Chongqing Medical University, No.439 of Xuanhua Street, Yongchuan, Chongqing, 402160, China.
  • United Imaging Healthcare, Shanghai, China.
  • Department of Radiology, Yongchuan Hospital of Chongqing Medical University, No.439 of Xuanhua Street, Yongchuan, Chongqing, 402160, China. [email protected].

Abstract

This study aimed to explore whether an artificial intelligence iterative reconstruction (AIIR) algorithm combined with low-dose aortic computed tomography angiography (CTA) demonstrates clinical effectiveness in assessing preoperative access for transcatheter aortic valve implantation (TAVI). A total of 109 patients were prospectively recruited for aortic CTA scans and divided into two groups: group A (n = 51) with standard-dose CT examinations (SDCT) and group B (n = 58) with low-dose CT examinations (LDCT). Group B was further subdivided into groups B1 and B2. Groups A and B2 used the hybrid iterative algorithm (HIR: Karl 3D), whereas Group B1 used the AIIR algorithm. CT attenuation and noise of different vessel segments were measured, and the contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) were calculated. Two radiologists, who were blinded to the study details, rated the subjective image quality on a 5-point scale. The effective radiation doses were also recorded for groups A and B. Group B1 demonstrated the highest CT attenuation, SNR, and CNR and the lowest image noise among the three groups (p < 0.05). The scores of subjective image noise, vessel and non-calcified plaque edge sharpness, and overall image quality in Group B1 were higher than those in groups A and B2 (p < 0.001). Group B2 had the highest artifacts scores compared with groups A and B1 (p < 0.05). The radiation dose in group B was reduced by 50.33% compared with that in group A (p < 0.001). The AIIR algorithm combined with low-dose CTA yielded better diagnostic images before TAVI than the Karl 3D algorithm.

Topics

Journal Article

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