Harmonic motion imaging of human breast masses: an in vivo clinical feasibility.

Harmonic motion imaging of human breast masses: an in vivo clinical feasibility.
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人体乳腺肿块的谐波运动成像:体内临床可行性。

DOI:
10.1038/s41598-020-71960-5
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发表时间:
2020
期刊:
影响因子:
4.6
通讯作者:
Konofagou,ElisaE
Konofagou,ElisaE
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Saharkhiz,Niloufar;Ha,Richard;Taback,Bret;Li,XiaoyueJudy;Weber,Rachel;Nabavizadeh,Alireza;Lee,StephenA;Hibshoosh,Hanina;Gatti,Vittorio;Kamimura,HermesAS;Konofagou,ElisaE

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由于成像方式的特异性低,需要不必要的活检,乳腺癌的无创诊断仍然具有挑战性。通过评估与病理变化相关的乳腺组织机械特性可以提高诊断准确性。谐波运动成像 (HMI) 是一种弹性成像技术,利用声辐射力来评估下方组织的局部机械特性。在此,我们研究了临床 HMI 系统在人类受试者中根据乳腺肿瘤的相对 HMI 位移来区分乳腺肿瘤的体内可行性。我们对 10 名患有乳房肿块的女性受试者进行了 HMI 扫描:其中 5 名是良性肿块,5 名是恶性肿块。结果显示,良性和恶性肿块都比周围组织更硬。然而,与良性肿瘤 (3.6±±1.5 µm) 和邻近非癌组织 (6.4±±2.5 µm) 相比,恶性肿瘤的平均 HMI 位移 (1.1±±0.5 µm) 较低,这使得能够区分肿瘤类型。此外,同一患者(n = 5)的切除乳房标本在术后进行了成像,体内和离体结果之间存在极好的一致性,并经组织学证实。在体外发现癌组织和非癌组织之间的位移对比度较高,这可能是由于离体组织的弹性特性较低的非线性所致。这项初步研究为 HMI 在临床实践中与 B 模式结合对可疑乳腺肿块进行分类的潜在补充应用奠定了基础。
Non-invasive diagnosis of breast cancer is still challenging due to the low specificity of the imaging modalities that calls for unnecessary biopsies. The diagnostic accuracy can be improved by assessing the breast tissue mechanical properties associated with pathological changes. Harmonic motion imaging (HMI) is an elasticity imaging technique that uses acoustic radiation force to evaluate the localized mechanical properties of the underlying tissue. Herein, we studied the in vivo feasibility of a clinical HMI system to differentiate breast tumors based on their relative HMI displacements, in human subjects. We performed HMI scans in 10 female subjects with breast masses: five benign and five malignant masses. Results revealed that both benign and malignant masses were stiffer than the surrounding tissues. However, malignant tumors underwent lower mean HMI displacement (1.1 ± 0.5 µm) compared to benign tumors (3.6 ± 1.5 µm) and the adjacent non-cancerous tissue (6.4 ± 2.5 µm), which allowed to differentiate between tumor types. Additionally, the excised breast specimens of the same patients (n = 5) were imaged post-surgically, where there was an excellent agreement between the in vivo and ex vivo findings, confirmed with histology. Higher displacement contrast between cancerous and non-cancerous tissue was found ex vivo, potentially due to the lower nonlinearity in the elastic properties of ex vivo tissue. This preliminary study lays the foundation for the potential complementary application of HMI in clinical practice in conjunction with the B-mode to classify suspicious breast masses.
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