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.

IF 3.8 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Haoyan Li, Yuchen Zhang, Shan Hua, Ruifang Sun, Yunxian Zhang, Zhi Yang, Yun Peng, Jihang Sun
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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.

深度学习图像重建(DLIR)算法在肺隔离儿童四倍低CT血管造影中保持高图像质量和诊断准确性:一项病例对照研究。
原理和目的:CT血管造影(CTA)是一种常用的临床检查,用于发现异常动脉和诊断肺隔离(PS)。降低CTA中的辐射剂量、造影剂剂量和注射压力,特别是儿童,一直是一个重要的研究课题,但很少有研究得到病理证实。本研究旨在评估四低CTA (4L-CTA:低管电压、辐射、造影剂和注射流速)中使用深度学习图像重建(DLIR)与常规方案CTA与自适应统计迭代重建- v (ASIR-V)的诊断准确性。选择疑似PS患者53例(1.50±1.36岁),采用70kVp管电压,放疗剂量或容积CT剂量指数(CTDIvol) 0.90 mGy,造影剂剂量0.8 ml/kg, 16 s注射,行胸部4L-CTA。使用DLIR重建图像。另外53例患者(1.25±1.02年)采用常规剂量方案进行比较,并使用ASIR-V重建图像。计算主动脉的噪声比(CNR)和边缘上升距离(ERD)。主观整体图像质量和动脉可视化采用5分制进行评估(5分,优秀;3、可以接受)。所有患者术后行CT检查,计算诊断PS的敏感性和特异性。结果:与常规CTA相比,4L-CTA使放射剂量降低51%,对照剂量降低47%,注射流量降低44%,注射压力降低44%(均p0.05)。4L-CTA显示直径为0.8 mm的小动脉。结论:DLIR确保了4L-CTA对PS儿童的放疗和对比剂的显著降低,同时保持了图像质量、小动脉的可视化和较高的诊断准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Academic Radiology
Academic Radiology 医学-核医学
CiteScore
7.60
自引率
10.40%
发文量
432
审稿时长
18 days
期刊介绍: Academic Radiology publishes original reports of clinical and laboratory investigations in diagnostic imaging, the diagnostic use of radioactive isotopes, computed tomography, positron emission tomography, magnetic resonance imaging, ultrasound, digital subtraction angiography, image-guided interventions and related techniques. It also includes brief technical reports describing original observations, techniques, and instrumental developments; state-of-the-art reports on clinical issues, new technology and other topics of current medical importance; meta-analyses; scientific studies and opinions on radiologic education; and letters to the Editor.
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