Quantitative aortic Na[18F]F positron emission tomography computed tomography as a tool to associate vascular calcification with major adverse cardiovascular events

IF 8.6 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Journal of Nuclear Medicine and Molecular Imaging Pub Date : 2024-09-19 DOI:10.1007/s00259-024-06901-9
T. G. F. Lieverse, G. D. van Praagh, D. J. Mulder, H. J. Lambers Heerspink, J. M. Wolterink, R. H. J. A. Slart
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Abstract

Purpose

Sodium[18F]fluoride (Na[18F]F) used in positron emission tomography (PET) binds to active calcification and correlates consistently with higher cardiovascular risk. This study aims to investigate the feasibility of aortic Na[18F]F-PET in hybrid combination with low-dose computed tomography (CT) as a risk model for major adverse cardiovascular events (MACE).

Methods

Patient data and Na[18F]F-PET/CT scans from January 2019 to February 2022 were retrospectively collected at the University Medical Center Groningen (UMCG), the Netherlands. MACE-outcome was a composite of time to first documented myocardial infarction, cerebral vascular accident (CVA), acute heart failure hospitalization, and aortic aneurysms. MACE dates were recorded from the day of the scan until follow-up in December 2023. The aorta was manually segmented in all low-dose CT scans. To minimize spill-over effects from the vertebrae, the vertebrae were automatically segmented using an open-source model, dilated with 10 mm, and subtracted from the aortic mask. The total aortic Na[18F]F corrected maximum standardized uptake value (cSUVmax) and total aortic Agatston score were automatically calculated using SEQUOIA. Kaplan–Meier and Cox regression survival analysis were performed, stratifying patients into high, medium, and low cSUVmax and Agatston categories. Cox regression models were adjusted for age.

Results

Out of 280 identified scans, 216 scans of unique patients were included. During a median follow-up of 3.9 years, 12 MACE occurred. Kaplan–Meier survival analysis demonstrated a significant difference in MACE-free survival among the high cSUVmax group compared to the medium and low groups (p = 0.03 and p < 0.01, respectively). Similarly, patients with high Agatston scores had a significantly lower MACE-free survival probability compared to those with medium and low scores (both p < 0.01).

Conclusion

This study highlights the potential clinical utility of Na[18F]F-PET/CT as an imaging tool to predict the risk of MACE. Clinical validation of this novel proof-of-concept method is needed to confirm these results and expand the clinical context.

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定量主动脉 Na[18F]F 正电子发射计算机断层扫描是将血管钙化与主要不良心血管事件联系起来的工具
目的 正电子发射断层扫描(PET)中使用的[18F]氟化钠(Na[18F]F)与活性钙化结合,并与较高的心血管风险相关。本研究旨在调查主动脉Na[18F]F-PET与低剂量计算机断层扫描(CT)混合组合作为主要不良心血管事件(MACE)风险模型的可行性。方法在荷兰格罗宁根大学医学中心(UMCG)回顾性收集了2019年1月至2022年2月的患者数据和Na[18F]F-PET/CT扫描结果。MACE-结果是首次记录到心肌梗死、脑血管意外(CVA)、急性心力衰竭住院和主动脉瘤的复合时间。记录了从扫描当天到 2023 年 12 月随访期间的 MACE 日期。所有低剂量 CT 扫描中的主动脉都是人工分割的。为尽量减少椎体的溢出效应,使用开源模型自动分割椎体,扩张10毫米,并从主动脉掩膜中减去。使用 SEQUOIA 自动计算主动脉 Na[18F]F 校正最大标准化摄取值(cSUVmax)和主动脉 Agatston 总评分。将患者分为高、中、低 cSUVmax 和 Agatston 三类,进行 Kaplan-Meier 和 Cox 回归生存分析。Cox回归模型根据年龄进行了调整。在中位 3.9 年的随访期间,共发生了 12 次 MACE。Kaplan-Meier 生存分析表明,高 cSUVmax 组与中等组和低 cSUVmax 组相比,无 MACE 生存率有显著差异(分别为 p = 0.03 和 p <0.01)。同样,Agatston评分高的患者与评分中等和低的患者相比,无MACE生存概率明显较低(均为p <0.01)。结论这项研究强调了Na[18F]F-PET/CT作为预测MACE风险的成像工具的潜在临床实用性。需要对这种新型概念验证方法进行临床验证,以确认这些结果并扩大临床应用范围。
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来源期刊
CiteScore
15.60
自引率
9.90%
发文量
392
审稿时长
3 months
期刊介绍: The European Journal of Nuclear Medicine and Molecular Imaging serves as a platform for the exchange of clinical and scientific information within nuclear medicine and related professions. It welcomes international submissions from professionals involved in the functional, metabolic, and molecular investigation of diseases. The journal's coverage spans physics, dosimetry, radiation biology, radiochemistry, and pharmacy, providing high-quality peer review by experts in the field. Known for highly cited and downloaded articles, it ensures global visibility for research work and is part of the EJNMMI journal family.
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