• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

低剂量 CT 血管造影术联合自适应统计迭代重建(ASiR-V)在潜在活体供肾者中的应用:一项前瞻性图像质量和诊断准确性分析。

Low-dose CT angiography using ASiR-V for potential living renal donors: a prospective analysis of image quality and diagnostic accuracy.

机构信息

Department of Urology, Yonsei University College of Medicine, Seoul, Republic of Korea.

Department of Radiology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea.

出版信息

Eur Radiol. 2020 Feb;30(2):798-805. doi: 10.1007/s00330-019-06423-1. Epub 2019 Aug 30.

DOI:10.1007/s00330-019-06423-1
PMID:31471753
Abstract

PURPOSE

To assess image quality and diagnostic accuracy of low-dose computed tomography (CT) angiography using adaptive statistical iterative reconstruction V (ASiR-V) for evaluating the anatomy of renal vasculature in potential living renal donors.

MATERIALS AND METHODS

Eighty of 100 potential living renal donors were prospectively enrolled and underwent multiphase CT angiography (e.g., unenhanced, arterial, and venous phases) to evaluate the kidney for donation. Either low-dose using ASiR-V or standard protocol was randomly applied. Image quality was analyzed qualitatively and quantitatively with contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR). Renal artery and vein number, early branching vessel from renal arteries, and drainage of left-sided ascending lumbar vein to left renal vein were assessed. Reference standard for renal vasculature was surgical confirmation.

RESULTS

Size-specific dose estimate of low-dose CT angiography (9.5 ± 0.8 mGy) was significantly lower than standard CT angiography (22.7 ± 4.1 mGy) (p < 0.001). Thus, radiation dose was reduced by 58.2% with low-dose CT. Both CNR and SNR of low-dose CT were significantly higher than those of standard CT (p < 0.001). Between the two CT methods, image quality was similar qualitatively (p > 0.05). Of 80 participants, 44 (55.0%) underwent nephrectomy. Both CT methods accurately predicted the anatomy of renal vasculature (standard CT, 100% for all variables; low-dose CT, 96.6% for renal vessel number or early branching vessel and 85.7% for drainage of left-sided ascending lumbar vein to left renal vein; p > 0.05 for all comparisons).

CONCLUSION

Low-dose CT angiography using ASiR-V is useful to evaluate renal vasculature for potential living renal donors.

KEY POINTS

• In this prospective study, adaptive statistical iterative reconstruction V (ASiR-V) allowed 58.2% dose reduction while maintaining diagnostic image quality for renal vessels. • As compared with the standard protocol, the dose with ASiR-V was significantly lower (9.5 ± 0.8 mGy) than with standard computed tomography (CT) angiography (22.7 ± 4.1 mGy). • Low-dose CT using ASiR-V is useful for living donor evaluation before nephrectomy.

摘要

目的

评估自适应统计迭代重建 V(ASiR-V)在低剂量 CT 血管造影中的应用,以评估潜在活体供肾者的肾血管解剖结构。

材料和方法

前瞻性纳入 100 名潜在活体供肾者中的 80 名,并进行多期 CT 血管造影(如平扫、动脉期和静脉期)以评估供肾情况。随机应用低剂量 ASiR-V 或标准方案。通过对比噪声比(CNR)和信噪比(SNR)对图像质量进行定性和定量分析。评估肾动脉和静脉数量、肾动脉早期分支血管和左侧升主动脉静脉向左侧肾静脉的引流情况。肾血管的参考标准为手术确认。

结果

低剂量 CT 血管造影(9.5±0.8 mGy)的剂量比标准 CT 血管造影(22.7±4.1 mGy)明显降低(p<0.001)。因此,低剂量 CT 可将辐射剂量降低 58.2%。低剂量 CT 的 CNR 和 SNR 均明显高于标准 CT(p<0.001)。两种 CT 方法的图像质量在定性上相似(p>0.05)。80 名参与者中,44 名(55.0%)行肾切除术。两种 CT 方法均能准确预测肾血管解剖结构(标准 CT 血管造影术,所有变量均为 100%;低剂量 CT 血管造影术,肾血管数量或早期分支血管为 96.6%,左侧升主动脉静脉向左侧肾静脉引流为 85.7%;所有比较均为 p>0.05)。

结论

ASiR-V 低剂量 CT 血管造影术有助于评估潜在活体供肾者的肾血管。

关键点

  1. 在这项前瞻性研究中,自适应统计迭代重建 V(ASiR-V)允许将剂量降低 58.2%,同时保持肾血管的诊断图像质量。

  2. 与标准方案相比,ASiR-V 组的剂量(9.5±0.8 mGy)明显低于标准 CT 血管造影术(22.7±4.1 mGy)。

  3. 低剂量 ASiR-V CT 血管造影术在活体供肾者肾切除术前评估中很有用。

相似文献

1
Low-dose CT angiography using ASiR-V for potential living renal donors: a prospective analysis of image quality and diagnostic accuracy.低剂量 CT 血管造影术联合自适应统计迭代重建(ASiR-V)在潜在活体供肾者中的应用:一项前瞻性图像质量和诊断准确性分析。
Eur Radiol. 2020 Feb;30(2):798-805. doi: 10.1007/s00330-019-06423-1. Epub 2019 Aug 30.
2
Application of Adaptive Statistical Iterative Reconstruction-V With Combination of 80 kV for Reducing Radiation Dose and Improving Image Quality in Renal Computed Tomography Angiography for Slim Patients.自适应统计迭代重建-V 联合 80kV 在降低肥胖患者肾 CT 血管成像辐射剂量和改善图像质量中的应用。
Acad Radiol. 2019 Nov;26(11):e324-e332. doi: 10.1016/j.acra.2018.12.021. Epub 2019 Jan 15.
3
Reducing contrast medium dose with low photon energy images in renal dual-energy spectral CT angiography and adaptive statistical iterative reconstruction (ASIR).在肾双能量光谱 CT 血管造影和自适应统计迭代重建(ASIR)中使用低光子能图像降低对比剂剂量。
Br J Radiol. 2021 Apr 1;94(1120):20200974. doi: 10.1259/bjr.20200974. Epub 2021 Mar 12.
4
[Application of adaptive statistical iterative reconstruction veo and 80 kv in renal computed tomography angiography].自适应统计迭代重建技术(VEO)及80千伏在肾脏计算机断层扫描血管造影中的应用
Zhonghua Yi Xue Za Zhi. 2019 Jul 2;99(25):1953-1958. doi: 10.3760/cma.j.issn.0376-2491.2019.25.010.
5
Standard and reduced radiation dose liver CT images: adaptive statistical iterative reconstruction versus model-based iterative reconstruction-comparison of findings and image quality.标准和低剂量肝脏 CT 图像:自适应统计迭代重建与基于模型的迭代重建——结果和图像质量比较。
Radiology. 2014 Dec;273(3):793-800. doi: 10.1148/radiol.14140676. Epub 2014 Aug 28.
6
Reducing both radiation and contrast doses in coronary CT angiography in lean patients on a 16-cm wide-detector CT using 70 kVp and ASiR-V algorithm, in comparison with the conventional 100-kVp protocol.在使用 70kVp 和 ASiR-V 算法的 16 厘米宽探测器 CT 上,与常规的 100kVp 方案相比,在瘦体型患者的冠状动脉 CT 血管造影中降低辐射和对比剂量。
Eur Radiol. 2019 Jun;29(6):3036-3043. doi: 10.1007/s00330-018-5837-9. Epub 2018 Nov 30.
7
CT for evaluation of potential renal donors - how does iterative reconstruction influence image quality and dose?用于评估潜在肾供体的CT——迭代重建如何影响图像质量和辐射剂量?
Eur J Radiol. 2014 Aug;83(8):1332-6. doi: 10.1016/j.ejrad.2014.05.004. Epub 2014 May 16.
8
Assessment of iterative image reconstruction on kidney and liver donors: Potential role of adaptive iterative dose reduction 3D (AIDR 3D) technology.评估迭代图像重建对肾和肝供体的影响:自适应迭代剂量降低 3D(AIDR 3D)技术的潜在作用。
Eur J Radiol. 2018 Dec;109:124-129. doi: 10.1016/j.ejrad.2018.10.020. Epub 2018 Oct 28.
9
[The application value of deep learning image reconstruction on improving image quality and evaluating the Qanadli embolism index of dual low-dose CT pulmonary angiography].[深度学习图像重建在提高双低剂量CT肺血管造影图像质量及评估Qanadli栓塞指数中的应用价值]
Zhonghua Yi Xue Za Zhi. 2023 May 23;103(19):1477-1482. doi: 10.3760/cma.j.cn112137-20230313-00392.
10
Image Quality and Radiation Dose in CT Venography Using Model-Based Iterative Reconstruction at 80 kVp versus Adaptive Statistical Iterative Reconstruction-V at 70 kVp.80kVp 模型迭代重建与 70kVp 自适应统计迭代重建-V 在 CT 静脉成像中的图像质量和辐射剂量比较。
Korean J Radiol. 2019 Jul;20(7):1167-1175. doi: 10.3348/kjr.2018.0897.

引用本文的文献

1
Detection, measurement, and diagnosis of lung nodules by ultra-low-dose CT in lung cancer screening: a systematic review.超低剂量CT在肺癌筛查中对肺结节的检测、测量及诊断:一项系统评价
BJR Open. 2024 Nov 22;6(1):tzae041. doi: 10.1093/bjro/tzae041. eCollection 2024 Jan.
2
Effects of tube voltage, radiation dose and adaptive statistical iterative reconstruction strength level on the detection and characterization of pulmonary nodules in ultra-low-dose chest CT.管电压、辐射剂量和自适应统计迭代重建强度水平对超低剂量胸部 CT 中肺结节的检测和特征描述的影响。
Cancer Imaging. 2024 Sep 15;24(1):123. doi: 10.1186/s40644-024-00770-z.
3

本文引用的文献

1
Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.深度学习重建可提高腹部超高分辨率 CT 的图像质量。
Eur Radiol. 2019 Nov;29(11):6163-6171. doi: 10.1007/s00330-019-06170-3. Epub 2019 Apr 11.
2
Full model-based iterative reconstruction (MBIR) in abdominal CT increases objective image quality, but decreases subjective acceptance.全模型迭代重建(MBIR)在腹部 CT 中提高了客观图像质量,但降低了主观接受度。
Eur Radiol. 2019 Aug;29(8):4016-4025. doi: 10.1007/s00330-018-5988-8. Epub 2019 Jan 30.
3
Application of Adaptive Statistical Iterative Reconstruction-V With Combination of 80 kV for Reducing Radiation Dose and Improving Image Quality in Renal Computed Tomography Angiography for Slim Patients.
Application of metal artifact reduction algorithm in reducing metal artifacts in post-surgery pediatric low radiation dose spine computed tomography (CT) images.
金属伪影减少算法在降低小儿术后低辐射剂量脊柱计算机断层扫描(CT)图像中金属伪影的应用。
Quant Imaging Med Surg. 2024 Jul 1;14(7):4648-4658. doi: 10.21037/qims-23-1659. Epub 2024 May 27.
4
Influence of deep learning image reconstruction algorithm for reducing radiation dose and image noise compared to iterative reconstruction and filtered back projection for head and chest computed tomography examinations: a systematic review.与迭代重建和滤波反投影相比,深度学习图像重建算法对头颈和胸部 CT 检查降低辐射剂量和图像噪声的影响:系统评价。
F1000Res. 2024 Apr 15;13:274. doi: 10.12688/f1000research.147345.1. eCollection 2024.
5
Computed tomography-based prediction model for identifying patients with high probability of non-muscle-invasive bladder cancer.基于计算机断层扫描的预测模型,用于识别患有高概率非肌肉浸润性膀胱癌的患者。
Abdom Radiol (NY). 2024 Jan;49(1):163-172. doi: 10.1007/s00261-023-04069-8. Epub 2023 Oct 17.
6
Effect of Low Tube Voltage (100 kV) Combined with ASIR-V on the Visualization and Image Quality of the Adamkiewicz Artery: A Comparison with 120 kV Protocol.低管电压(100 kV)联合自适应统计迭代重建技术(ASIR-V)对Adamkiewicz动脉可视化及图像质量的影响:与120 kV扫描方案的比较
Diagnostics (Basel). 2023 Jul 27;13(15):2495. doi: 10.3390/diagnostics13152495.
7
Can 1.25 mm thin-section images generated with Deep Learning Image Reconstruction technique replace standard-of-care 5 mm images in abdominal CT?基于深度学习图像重建技术生成的 1.25mm 薄层图像能否替代腹部 CT 常规护理的 5mm 图像?
Abdom Radiol (NY). 2023 Oct;48(10):3253-3264. doi: 10.1007/s00261-023-03992-0. Epub 2023 Jun 27.
8
Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method.基于深度学习的去噪技术在动态腹部 CT 降低辐射剂量中的应用:与混合迭代重建方法的标准剂量 CT 比较。
J Digit Imaging. 2023 Aug;36(4):1578-1587. doi: 10.1007/s10278-023-00808-x. Epub 2023 Mar 21.
9
Quality Assessment of Computed Tomography Images using a Channelized Hoteling Observer: Optimization of Protocols in Clinical Practice.使用通道化豪特林观察者对计算机断层扫描图像进行质量评估:临床实践中协议的优化
Adv Biomed Res. 2023 Jan 27;12:8. doi: 10.4103/abr.abr_353_21. eCollection 2023.
10
Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study.基于深度学习的图像重建用于定量CT的图像质量评估和准确骨密度测量:模体-患者研究
Front Endocrinol (Lausanne). 2022 Aug 11;13:884306. doi: 10.3389/fendo.2022.884306. eCollection 2022.
自适应统计迭代重建-V 联合 80kV 在降低肥胖患者肾 CT 血管成像辐射剂量和改善图像质量中的应用。
Acad Radiol. 2019 Nov;26(11):e324-e332. doi: 10.1016/j.acra.2018.12.021. Epub 2019 Jan 15.
4
Reducing both radiation and contrast doses in coronary CT angiography in lean patients on a 16-cm wide-detector CT using 70 kVp and ASiR-V algorithm, in comparison with the conventional 100-kVp protocol.在使用 70kVp 和 ASiR-V 算法的 16 厘米宽探测器 CT 上,与常规的 100kVp 方案相比,在瘦体型患者的冠状动脉 CT 血管造影中降低辐射和对比剂量。
Eur Radiol. 2019 Jun;29(6):3036-3043. doi: 10.1007/s00330-018-5837-9. Epub 2018 Nov 30.
5
The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence.CT 图像重建技术的演进——从滤波反投影到人工智能。
Eur Radiol. 2019 May;29(5):2185-2195. doi: 10.1007/s00330-018-5810-7. Epub 2018 Oct 30.
6
Combination of Adaptive Statistical Iterative Reconstruction-V and Lower Tube Voltage During Craniocervical Computed Tomographic Angiography Yields Better Image Quality with a Reduced Radiation Dose.自适应统计迭代重建-V 与颅颈椎 CT 血管造影中较低管电压联合应用可在降低辐射剂量的情况下获得更好的图像质量。
Acad Radiol. 2019 Aug;26(8):e233-e240. doi: 10.1016/j.acra.2018.07.019. Epub 2018 Sep 5.
7
Image quality comparison of two adaptive statistical iterative reconstruction (ASiR, ASiR-V) algorithms and filtered back projection in routine liver CT.两种自适应统计迭代重建(ASiR、ASiR-V)算法与常规肝脏 CT 滤波反投影重建的图像质量比较。
Br J Radiol. 2018 Jul;91(1088):20170655. doi: 10.1259/bjr.20170655. Epub 2018 Jun 6.
8
Triple-rule-out CT angiography using two axial scans with 16 cm wide-detector for radiation dose reduction.采用双轴扫描和 16 厘米宽探测器的三重排除 CT 血管造影以减少辐射剂量。
Eur Radiol. 2018 Nov;28(11):4654-4661. doi: 10.1007/s00330-018-5426-y. Epub 2018 May 22.
9
A Third-Generation Adaptive Statistical Iterative Reconstruction Technique: Phantom Study of Image Noise, Spatial Resolution, Lesion Detectability, and Dose Reduction Potential.第三代自适应统计迭代重建技术:图像噪声、空间分辨率、病灶检出率和剂量降低潜力的体模研究。
AJR Am J Roentgenol. 2018 Jun;210(6):1301-1308. doi: 10.2214/AJR.17.19102. Epub 2018 Apr 27.
10
Assessment of noise reduction potential and image quality improvement of a new generation adaptive statistical iterative reconstruction (ASIR-V) in chest CT.新一代自适应统计迭代重建技术(ASIR-V)在胸部CT中降噪潜力及图像质量改善的评估
Br J Radiol. 2018 Jan;91(1081):20170521. doi: 10.1259/bjr.20170521. Epub 2017 Nov 16.