Amplitude-Modulation Frequency Optimization for Enhancing Harmonic Motion Imaging Performance of Breast Tumors in the Clinic

IF 2.4 3区医学 Q2 ACOUSTICS Ultrasound in Medicine and Biology Pub Date : 2024-10-19 DOI:10.1016/j.ultrasmedbio.2024.09.021

Yangpei Liu , Md Murad Hossain , Xiaoyue Judy Li , Elisa E. Konofagou

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Abstract

Objective

Elastography images tissue mechanical responses and infers the underlying properties to aid diagnosis and treatment response monitoring. The estimation of absolute or relative tumor properties may vary with dimensions even when the mechanical properties remain constant. Harmonic motion imaging (HMI) uses amplitude-modulated (AM) focused ultrasound to interrogate the targeted tissue's viscoelastic properties. In this study, effects of AM frequencies on HMI were investigated in terms of inclusion relative stiffness and size estimation.

Methods

AM frequencies from 200 to 600 Hz in steps of 100 Hz were considered using a 5.3-kPa phantom with cylindrical inclusions (Young's modulus: 22, 31, 44, 56 kPa, and diameter: 4.8, 8.1, 13.6, 19.8 mm) to optimize the performance of HMI in characterizing tumors with the same mechanical properties and of different dimensions.

Results

Consistent displacement ratios (DRs) (17.5% variation) of the inclusion to background were obtained with 200-Hz AM for breast-tumor-mimicking inclusions albeit a suboptimal inclusion size estimation obtained. 400-Hz was otherwise used for small and low-contrast inclusions (4.8 mm, 22 or 31 kPa). A linear relationship (R² = 0.9043) was found between the inverse DR at these frequencies and the Young's modulus ratio. 400 Hz obtained the most accurate inclusion size estimation with an overall estimation error on the lateral dimension of 0.5 mm. In vivo imaging of breast cancer patients (n = 5) was performed at 200 or 400 Hz.

Conclusion

The results presented herein indicate that the HMI AM frequency could be optimized adaptively in cases of different applications, i.e., at 200 or 400 Hz, depending on whether aimed for consistent DR measurement for tumor response assessment or tumor margin delineation for surgical planning. HMI may thus be capable of predicting the pathologic endpoint of tumors in response to neoadjuvant chemotherapy (NACT) as early as 3 weeks into treatment.

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优化振幅调制频率，提高乳腺肿瘤的临床谐波运动成像性能。

目的：弹性成像技术可对组织的机械反应进行成像，并推断其基本特性，从而帮助诊断和监测治疗反应。即使机械特性保持不变，对肿瘤绝对或相对特性的估计也会随尺寸变化。谐波运动成像（HMI）使用调幅（AM）聚焦超声波来检测目标组织的粘弹性特性。在这项研究中，研究了 AM 频率对 HMI 的影响，包括相对硬度和尺寸估计：方法：使用带有圆柱形内含物（杨氏模量：22、31、44、56 kPa，直径：4.8、8.1、13.6、19.8 mm）的 5.3-kPa 模体，以 100 Hz 为步长，考虑了从 200 Hz 到 600 Hz 的 AM 频率，以优化 HMI 在表征具有相同机械特性和不同尺寸的肿瘤时的性能：结果：对于乳腺肿瘤模拟包涵体，使用 200Hz AM 可获得一致的包涵体与背景位移比 (DRs)（变化率为 17.5%），尽管对包涵体大小的估计不够理想。400Hz则用于小的低对比度内含物（4.8 毫米、22 或 31 千帕）。这些频率下的反 DR 与杨氏模量比之间存在线性关系 (R2 = 0.9043)。400 Hz 可获得最准确的包膜尺寸估计，横向尺寸的总体估计误差为 0.5 毫米。乳腺癌患者（n = 5）的活体成像在 200 或 400 Hz 下进行：本文介绍的结果表明，在不同的应用情况下，HMI 调幅频率可以进行自适应优化，即 200 或 400 Hz，具体取决于是以肿瘤反应评估的一致性 DR 测量为目标，还是以手术规划的肿瘤边缘划定为目标。因此，HMI 可以在治疗 3 周后预测肿瘤对新辅助化疗（NACT）反应的病理终点。

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

Ultrasound in Medicine and Biology 医学-核医学

CiteScore

6.20

自引率

6.90%

发文量

325

审稿时长

70 days

期刊介绍： Ultrasound in Medicine and Biology is the official journal of the World Federation for Ultrasound in Medicine and Biology. The journal publishes original contributions that demonstrate a novel application of an existing ultrasound technology in clinical diagnostic, interventional and therapeutic applications, new and improved clinical techniques, the physics, engineering and technology of ultrasound in medicine and biology, and the interactions between ultrasound and biological systems, including bioeffects. Papers that simply utilize standard diagnostic ultrasound as a measuring tool will be considered out of scope. Extended critical reviews of subjects of contemporary interest in the field are also published, in addition to occasional editorial articles, clinical and technical notes, book reviews, letters to the editor and a calendar of forthcoming meetings. It is the aim of the journal fully to meet the information and publication requirements of the clinicians, scientists, engineers and other professionals who constitute the biomedical ultrasonic community.

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