Macrophage uptake rate of Sonazoid in breast lymphosonography is highly conserved in healthy controls.

IF 3.3 3区 医学 Q2 ENGINEERING, BIOMEDICAL Physics in medicine and biology Pub Date : 2024-10-04 DOI:10.1088/1361-6560/ad7f1c
Kenneth M Tichauer, Priscilla Machado, Ji-Bin Liu, A S Chalmika Sarathchandra, Maria Stanczak, Walter K Kraft, Flemming Forsberg
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Abstract

Subcutaneous microbubble administration in connection with contrast enhanced ultrasound (CEUS) imaging is showing promise as a noninvasive and sensitive way to detect tumor draining sentinel lymph nodes (SLNs) in patients with breast cancer. Moreover, there is potential to harness the results from these approaches to directly estimate cancer burden, since some microbubble formulas, such as the Sonazoid used in this study, are rapidly phagocytosed by macrophages, and the macrophage concentration in a lymph node is inversely related to the cancer burden. This work presents a mathematical model that can approximate a rate constant governing macrophage uptake of Sonazoid,ki, given dynamic CEUS Sonazoid imaging data. Twelve healthy women were injected with 1.0 ml of Sonazoid in an upper-outer quadrant of one of their breasts and SLNs were imaged in each patient immediately after injection, and then at 0.25, 0.5, 1, 2, 4, 6, and 24 h after injection. The mathematical model developed was fit to the dynamic CEUS data from each subject resulting in a mean ± sd of 0.006 ± 0.005 h-1and 0.4 ± 0.1 h-1for relative lymphatic flow (EFl) andki, respectively. Furthermore, the roughly 25% sd of thekimeasurement was similar to the sd that would be expected from realistic noise simulations for a stable 0.4 h-1value ofki, suggesting that macrophage concentration is highly consistent among cancer-free SLNs. These results, along with the significantly smaller variance inkimeasurement observed compared to relative lymphatic flow suggest thatkimay be a more precise and promising approach of estimating macrophage abundance, and inversely cancer burden. Future studies comparing tumor-free to tumor-bearing nodes are planned to verify this hypothesis.

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乳腺淋巴造影中巨噬细胞对 Sonazoid 的摄取率在健康对照组中高度一致。
皮下注射微泡并结合造影剂增强超声(CEUS)成像技术,是检测乳腺癌患者肿瘤引流前哨淋巴结(SLN)的一种无创、灵敏的方法。此外,利用这些方法得出的结果直接估算癌症负荷也很有潜力,因为一些微泡配方(如本研究中使用的 Sonazoid)会被巨噬细胞快速吞噬,而淋巴结中的巨噬细胞浓度与癌症负荷成反比。本研究提出了一个数学模型,在给出动态 CEUS Sonazoid 成像数据的情况下,可以近似推算出巨噬细胞摄取 Sonazoid 的速率常数 ki。对 12 名健康女性的一侧乳房外上象限注射 1.0 毫升 Sonazoid,注射后立即对每位患者的 SLN 进行成像,然后在注射后 0.25、0.5、1、2、4、6 和 24 小时分别进行成像。将所建立的数学模型与每个受试者的动态 CEUS 数据进行拟合,得出相对淋巴流量 (EFl) 和 ki 的平均值(± sd)分别为 0.006 ± 0.005 h-1 和 0.4 ± 0.1 h-1。此外,ki 测量值约 25% 的 sd 与现实噪声模拟对稳定的 0.4 h-1 ki 值的预期 sd 相似,这表明巨噬细胞浓度在无癌症的 SLN 中高度一致。这些结果以及与相对淋巴流量相比观察到的 ki 测量方差明显较小的情况表明,ki 可能是一种更精确、更有前途的估算巨噬细胞丰度和反向癌症负担的方法,适用于未来建立无创 CEUS SLN 活检的工作。
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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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