Accuracy of Ultralow-Dose Photon-counting CT in the Detection of Lung Changes after Lung Transplant.

IF 12.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Radiology Pub Date : 2024-09-01 DOI:10.1148/radiol.240271
Ruxandra-Iulia Milos,Lisa Lechner,Aida Korajac,Daria Kifjak,Martin Luther Watzenböck,Dietmar Tamandl,Andreas Strassl,Marlene Stuempflen,Lucian Beer,Michael Weber,Peter Jaksch,Gabriella Muraközy,Elisabeth Hielle-Wittmann,Zsofia Kovacs,Konrad Hoetzenecker,Helmut Prosch
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Abstract

Background Data on the diagnostic accuracy of ultralow-dose (ULD) CT protocols for periodic surveillance in recipients of lung transplant are lacking. Purpose To assess the potential for radiation dose reduction using ULD photon-counting CT (PCT) to detect lung abnormalities in recipients of lung transplant during repeat CT follow-up. Materials and Methods Consecutive adult recipients of lung transplant undergoing same-day standard-of-care low-dose (LD) and ULD PCT from March 2023 to May 2023 were prospectively included. The ULD protocols were performed with two target effective doses comprising 20% (hereafter, ULD1) and 10% (hereafter, ULD2) of the standard LD protocol. The 1-mm reconstructions were reviewed by three readers. Subjective image quality, the visibility of certain anatomic structures (using a five-point Likert scale), and the presence of lung abnormalities were independently assessed. The χ2 or t tests were used to evaluate differences between the ULD1 and ULD2 protocols. Results A total of 82 participants (median age, 64 years [IQR, 54-69 years]; 47 male) were included (41 participants for each ULD protocol). The mean effective doses per protocol were 1.41 mSv ± 0.44 (SD) for LD, 0.26 mSv ± 0.08 for ULD1, and 0.17 mSv ± 0.04 for ULD2. According to three readers, the subjective image quality of the ULD images was deemed diagnostic (Likert score ≥3) in 39-40 (ULD1) and 40-41 (ULD2) participants, and anatomic structures could be adequately visualized (Likert score ≥3) in 33-41 (ULD1) and 34-41 (ULD2) participants. The detection accuracy for individual lung anomalies exceeded 70% for both ULD protocols, except for readers 1 and 3 detecting proximal bronchiectasis and reader 3 detecting bronchial wall thickening and air trapping. No evidence of a statistically significant difference in noise (P = .96), signal-to-noise ratio (P = .77), or reader accuracy (all P ≥ .05) was noted between the ULD protocols. Conclusion ULD PCT was feasible for detecting lung abnormalities following lung transplant, with a tenfold radiation dose reduction. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Ciet in this issue.
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超低剂量光子计数 CT 检测肺移植后肺部变化的准确性
背景 缺乏有关肺移植受者定期监测超低剂量 CT 方案诊断准确性的数据。目的 评估使用超低剂量光子计数 CT(PCT)减少辐射剂量的潜力,以便在重复 CT 随访期间检测肺移植受者的肺部异常。材料和方法 前瞻性纳入 2023 年 3 月至 2023 年 5 月期间连续接受当日标准低剂量(LD)和 ULD PCT 的肺移植成年受者。ULD方案采用两种目标有效剂量,分别为标准LD方案的20%(以下简称ULD1)和10%(以下简称ULD2)。1 毫米重建由三位阅读者进行审查。主观图像质量、某些解剖结构的可见度(采用李克特五点量表)以及是否存在肺部异常均由三位阅读者独立评估。χ2或t检验用于评估ULD1和ULD2方案之间的差异。结果 共纳入了 82 名参与者(中位年龄 64 岁 [IQR,54-69 岁];47 名男性)(每个 ULD 方案有 41 名参与者)。每个方案的平均有效剂量分别为:LD 1.41 mSv ± 0.44 (SD), ULD1 0.26 mSv ± 0.08, ULD2 0.17 mSv ± 0.04。根据三位读者的意见,39-40 名(ULD1)和 40-41 名(ULD2)参与者认为 ULD 图像的主观图像质量具有诊断意义(Likert 评分≥3),33-41 名(ULD1)和 34-41 名(ULD2)参与者认为解剖结构可以充分显示(Likert 评分≥3)。两种 ULD 方案对单个肺部异常的检测准确率均超过 70%,但阅读器 1 和阅读器 3 检测近端支气管扩张和阅读器 3 检测支气管壁增厚和空气潴留除外。两种 ULD 方案在噪声(P = .96)、信噪比(P = .77)或读数准确性(P 均≥ .05)方面均无显著统计学差异。结论 ULD PCT 可用于检测肺移植后的肺部异常,辐射剂量减少了 10 倍。RSNA, 2024 这篇文章有补充材料。另请参阅本期 Ciet 的社论。
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
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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