Deep Learning Image Reconstruction (DLIR) Algorithm to Maintain High Image Quality and Diagnostic Accuracy in Quadruple-low CT Angiography of Children with Pulmonary Sequestration: A Case Control Study
- PMID: 40410108
- DOI: 10.1016/j.acra.2025.05.005
Deep Learning Image Reconstruction (DLIR) Algorithm to Maintain High Image Quality and Diagnostic Accuracy in Quadruple-low CT Angiography of Children with Pulmonary Sequestration: A Case Control Study
Abstract
Rationale and objectives: CT angiography (CTA) is a commonly used clinical examination to detect abnormal arteries and diagnose pulmonary sequestration (PS). Reducing the radiation dose, contrast medium dosage, and injection pressure in CTA, especially in children, has always been an important research topic, but few research is proven by pathology. The current study aimed to evaluate the diagnostic accuracy for children with PS in a quadruple-low CTA (4L-CTA: low tube voltage, radiation, contrast medium, and injection flow rate) using deep learning image reconstruction (DLIR) in comparison with routine protocol CTA with adaptive statistical iterative reconstruction-V (ASIR-V) MATERIALS AND METHODS: 53 patients (1.50±1.36years) suspected with PS were enrolled to undergo chest 4L-CTA using 70kVp tube voltage with radiation dose or 0.90 mGy in volumetric CT dose index (CTDIvol) and contrast medium dose of 0.8 ml/kg injected in 16 s. Images were reconstructed using DLIR. Another 53 patients (1.25±1.02years) with a routine dose protocol was used for comparison, and images were reconstructed with ASIR-V. The contrast-to-noise ratio (CNR) and edge-rise distance (ERD) of the aorta were calculated. The subjective overall image quality and artery visualization were evaluated using a 5-point scale (5, excellent; 3, acceptable). All patients underwent surgery after CT, the sensitivity and specificity for diagnosing PS were calculated.
Results: 4L-CTA reduced radiation dose by 51%, contrast dose by 47%, injection flow rate by 44% and injection pressure by 44% compared to the routine CTA (all p<0.05). Both groups had satisfactory subjective image quality and achieved 100% in both sensitivity and specificity for diagnosing PS. 4L-CTA had a reduced CNR (by 27%, p<0.05) but similar ERD, which reflects the image spatial resolution (p>0.05) compared to the routine CTA. 4L-CTA revealed small arteries with a diameter of 0.8 mm.
Conclusion: DLIR ensures the realization of 4L-CTA in children with PS for significant radiation and contrast dose reduction, while maintaining image quality, visualization of small arteries, and high diagnostic accuracy.
Keywords: CTA; Children; Contrast medium; Image reconstruction; Radiation dose.
Copyright © 2025 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Similar articles
-
Radiation and contrast dose reduction in coronary CT angiography for slender patients with 70 kV tube voltage and deep learning image reconstruction.Br J Radiol. 2025 Jul 1;98(1171):1046-1052. doi: 10.1093/bjr/tqaf077. Br J Radiol. 2025. PMID: 40205479 Clinical Trial.
-
Comparison of image quality of 40 keV virtual monoenergetic images of vertebral arteries using DLIR and ASIR-V algorithms under a dual-low scanning protocol.Eur J Radiol. 2025 Jul 3;191:112276. doi: 10.1016/j.ejrad.2025.112276. Online ahead of print. Eur J Radiol. 2025. PMID: 40639023
-
Ultra-low-dose hepatic computed tomography with a novel real-time deep learning-based noise reduction algorithm: a prospective cross-sectional analysis of image quality and lesion detection.Quant Imaging Med Surg. 2025 Aug 1;15(8):7006-7018. doi: 10.21037/qims-2025-365. Epub 2025 Jul 24. Quant Imaging Med Surg. 2025. PMID: 40785866 Free PMC article.
-
Radiation dose and diagnostic image quality associated with iterative reconstruction in coronary CT angiography: A systematic review.J Med Imaging Radiat Oncol. 2016 Aug;60(4):459-68. doi: 10.1111/1754-9485.12473. Epub 2016 May 30. J Med Imaging Radiat Oncol. 2016. PMID: 27241506
-
Duplex ultrasound for diagnosing symptomatic carotid stenosis in the extracranial segments.Cochrane Database Syst Rev. 2022 Jul 11;7(7):CD013172. doi: 10.1002/14651858.CD013172.pub2. Cochrane Database Syst Rev. 2022. PMID: 35815652 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources