Dark-Blood Computed Tomography Angiography Combined With Deep Learning Reconstruction for Cervical Artery Wall Imaging in Takayasu Arteritis.

IF 4.4 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Korean Journal of Radiology Pub Date : 2024-04-01 DOI:10.3348/kjr.2023.1078

Tong Su, Zhe Zhang, Yu Chen, Yun Wang, Yumei Li, Min Xu, Jian Wang, Jing Li, Xinping Tian, Zhengyu Jin

{"title":"Dark-Blood Computed Tomography Angiography Combined With Deep Learning Reconstruction for Cervical Artery Wall Imaging in Takayasu Arteritis.","authors":"Tong Su, Zhe Zhang, Yu Chen, Yun Wang, Yumei Li, Min Xu, Jian Wang, Jing Li, Xinping Tian, Zhengyu Jin","doi":"10.3348/kjr.2023.1078","DOIUrl":null,"url":null,"abstract":"Objective: To evaluate the image quality of novel dark-blood computed tomography angiography (CTA) imaging combined with deep learning reconstruction (DLR) compared to delayed-phase CTA images with hybrid iterative reconstruction (HIR), to visualize the cervical artery wall in patients with Takayasu arteritis (TAK).Materials and methods: This prospective study continuously recruited 53 patients with TAK (mean age: 33.8 ± 10.2 years; 49 females) between January and July 2022 who underwent head-neck CTA scans. The arterial- and delayed-phase images were reconstructed using HIR and DLR. Subtracted images of the arterial-phase from the delayed-phase were then added to the original delayed-phase using a denoising filter to generate the final-dark-blood images. Qualitative image quality scores and quantitative parameters were obtained and compared among the three groups of images: Delayed-HIR, Dark-blood-HIR, and Dark-blood-DLR.Results: Compared to Delayed-HIR, Dark-blood-HIR images demonstrated higher qualitative scores in terms of vascular wall visualization and diagnostic confidence index (all P < 0.001). These qualitative scores further improved after applying DLR (Dark-blood-DLR compared to Dark-blood-HIR, all P < 0.001). Dark-blood DLR also showed higher scores for overall image noise than Dark-blood-HIR (P < 0.001). In the quantitative analysis, the contrast-to-noise ratio (CNR) values between the vessel wall and lumen for the bilateral common carotid arteries and brachiocephalic trunk were significantly higher on Dark-blood-HIR images than on Delayed-HIR images (all P < 0.05). The CNR values were significantly higher for Dark-blood-DLR than for Dark-blood-HIR in all cervical arteries (all P < 0.001).Conclusion: Compared with Delayed-HIR CTA, the dark-blood method combined with DLR improved CTA image quality and enhanced visualization of the cervical artery wall in patients with TAK.","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"25 4","pages":"384-394"},"PeriodicalIF":4.4000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10973741/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Journal of Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3348/kjr.2023.1078","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}

引用次数: 0

Abstract

Objective: To evaluate the image quality of novel dark-blood computed tomography angiography (CTA) imaging combined with deep learning reconstruction (DLR) compared to delayed-phase CTA images with hybrid iterative reconstruction (HIR), to visualize the cervical artery wall in patients with Takayasu arteritis (TAK).

Materials and methods: This prospective study continuously recruited 53 patients with TAK (mean age: 33.8 ± 10.2 years; 49 females) between January and July 2022 who underwent head-neck CTA scans. The arterial- and delayed-phase images were reconstructed using HIR and DLR. Subtracted images of the arterial-phase from the delayed-phase were then added to the original delayed-phase using a denoising filter to generate the final-dark-blood images. Qualitative image quality scores and quantitative parameters were obtained and compared among the three groups of images: Delayed-HIR, Dark-blood-HIR, and Dark-blood-DLR.

Results: Compared to Delayed-HIR, Dark-blood-HIR images demonstrated higher qualitative scores in terms of vascular wall visualization and diagnostic confidence index (all P < 0.001). These qualitative scores further improved after applying DLR (Dark-blood-DLR compared to Dark-blood-HIR, all P < 0.001). Dark-blood DLR also showed higher scores for overall image noise than Dark-blood-HIR (P < 0.001). In the quantitative analysis, the contrast-to-noise ratio (CNR) values between the vessel wall and lumen for the bilateral common carotid arteries and brachiocephalic trunk were significantly higher on Dark-blood-HIR images than on Delayed-HIR images (all P < 0.05). The CNR values were significantly higher for Dark-blood-DLR than for Dark-blood-HIR in all cervical arteries (all P < 0.001).

Conclusion: Compared with Delayed-HIR CTA, the dark-blood method combined with DLR improved CTA image quality and enhanced visualization of the cervical artery wall in patients with TAK.

查看原文本刊更多论文

暗血计算机断层扫描血管成像与深度学习重建相结合用于高安动脉炎的颈动脉壁成像

目的评估结合深度学习重建（DLR）的新型暗血计算机断层扫描（CTA）成像与混合迭代重建（HIR）的延迟相CTA成像相比，在观察高安动脉炎（TAK）患者颈动脉壁时的图像质量：这项前瞻性研究在 2022 年 1 月至 7 月间连续招募了 53 名接受头颈部 CTA 扫描的 TAK 患者（平均年龄：33.8 ± 10.2 岁；49 名女性）。使用 HIR 和 DLR 重建动脉相和延迟相图像。然后使用去噪滤波器将从延迟相减去的动脉相图像添加到原始延迟相图像中，生成最终的暗血图像。获得定性图像质量评分和定量参数，并对三组图像进行比较：结果：与延迟-HIR 相比，暗血-HIR 图像在血管壁可视化和诊断信心指数方面的质量得分更高（均 P < 0.001）。应用 DLR 后，这些定性评分进一步提高（暗-血-DLR 与暗-血-HIR 相比，所有 P <0.001）。暗血 DLR 在整体图像噪声方面的得分也高于暗血-HIR（P < 0.001）。在定量分析中，双侧颈总动脉和肱动脉主干血管壁与管腔之间的对比噪声比（CNR）值在暗血-HIR 图像上明显高于延迟-HIR 图像（均 P < 0.05）。在所有颈动脉中，暗血-DLR 的 CNR 值明显高于暗血-HIR（所有 P <0.001）：结论：与延迟-HIR CTA相比，暗血法结合DLR可改善TAK患者的CTA图像质量，增强颈动脉壁的可视性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Korean Journal of Radiology 医学-核医学

CiteScore

10.60

自引率

12.50%

发文量

141

审稿时长

1.3 months

期刊介绍： The inaugural issue of the Korean J Radiol came out in March 2000. Our journal aims to produce and propagate knowledge on radiologic imaging and related sciences. A unique feature of the articles published in the Journal will be their reflection of global trends in radiology combined with an East-Asian perspective. Geographic differences in disease prevalence will be reflected in the contents of papers, and this will serve to enrich our body of knowledge. World''s outstanding radiologists from many countries are serving as editorial board of our journal.