Preliminary phantom study of four-dimensional computed tomographic angiography for renal artery mapping: Low-tube voltage and low-contrast volume imaging with deep learning-based reconstruction

IF 2.8 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Radiography Pub Date : 2025-03-26 DOI:10.1016/j.radi.2025.102929
A. Urikura , I. Ishii , M. Sone , S. Sugawara , C. Itou , S. Kimura , H. Suzuki , T. Ishihara , M. Kusumoto
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Abstract

Introduction

A hybrid angio-CT system with 320-row detectors and deep learning-based reconstruction (DLR), provides additional imaging via 4D-CT angiography (CTA), potentially shortening procedure time and reducing DSA acquisitions, contrast media, and radiation dose. This study evaluates the feasibility of low-tube voltage 4D-CTA with low-contrast volume and DLR for selective renal artery embolization using a vessel phantom.

Methods

A custom-made phantom simulating contrast-enhanced vessels filled with contrast medium was scanned. The study assessed image quality under varying image noise and vessel contrast. Quantitative analysis included peak contrast-to-noise ratio (pCNR) and image noise. Qualitative assessment was performed by seven radiologists using a 4-point scale; each radiologist independently recorded their evaluations on an assessment sheet.

Results

A pCNR of approximately 15.0 was identified as the threshold for acceptable image quality. The pCNR decreased as the noise index increased (by 25–75 % when comparing a noise index of 30–70 HU).Vessels with a CT value of 500 Hounsfield units (HU) achieved sufficient image quality with a noise index of 50 HU. Dose reduction was substantial compared to traditional DSA, with effective radiation dose remaining within acceptable clinical levels.

Conclusion

4D-CTA, combined with DLR, demonstrated the potential to reduce radiation and contrast agent usage while preserving diagnostic quality for renal artery angiography. Further clinical validation is required to confirm these findings in clinical settings.

Implications for practice

4D-CTA with low-tube voltage and deep learning-based reconstruction (DLR) can reduce radiation and contrast use while maintaining image quality. This approach might improve safety, particularly in patients with renal impairment, and serve as a viable alternative to conventional DSA for selective renal artery embolization.
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肾动脉四维计算机断层血管成像的初步幻像研究:基于深度学习重建的低管电压和低对比度成像
导读:具有 320 排探测器和基于深度学习的重建(DLR)的混合血管 CT 系统可通过 4D-CT 血管造影(CTA)提供额外的成像,从而缩短手术时间并减少 DSA 采集、造影剂和辐射剂量。本研究利用血管模型评估了低管电压 4D-CTA 低对比度体积和 DLR 用于选择性肾动脉栓塞的可行性。方法扫描了一个定制的模型,该模型模拟了充满造影剂的对比度增强血管。研究评估了不同图像噪声和血管对比度下的图像质量。定量分析包括峰值对比噪声比(pCNR)和图像噪声。定性评估由七位放射科医生采用 4 点评分法进行;每位放射科医生在评估表上独立记录他们的评估结果。结果 pCNR 约为 15.0 被确定为可接受图像质量的阈值。当噪声指数为 30-70 HU 时,pCNR 随噪声指数的增加而降低(降低 25-75%)。噪声指数为 50 HU 时,CT 值为 500 Hounsfield 单位 (HU) 的血管可获得足够的图像质量。结论4D-CTA与DLR相结合,证明了在保持肾动脉血管造影诊断质量的同时减少辐射和造影剂用量的潜力。对实践的意义4D-CTA 采用低管电压和基于深度学习的重建(DLR)可减少辐射和造影剂用量,同时保持图像质量。这种方法可以提高安全性,尤其是肾功能受损患者的安全性,是选择性肾动脉栓塞的传统 DSA 的可行替代方案。
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来源期刊
Radiography
Radiography RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.70
自引率
34.60%
发文量
169
审稿时长
63 days
期刊介绍: Radiography is an International, English language, peer-reviewed journal of diagnostic imaging and radiation therapy. Radiography is the official professional journal of the College of Radiographers and is published quarterly. Radiography aims to publish the highest quality material, both clinical and scientific, on all aspects of diagnostic imaging and radiation therapy and oncology.
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