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Viscoelastic biomarker for differentiation of benign and malignant breast lesion in ultra- low frequency range

机译:粘弹性生物标记物可在超低频范围内区分乳腺良恶性病变

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摘要

Benign and malignant tumors differ in the viscoelastic properties of their cellular microenvironments and in their spatiotemporal response to very low frequency stimuli. These differences can introduce a unique viscoelastic biomarker in differentiation of benign and malignant tumors. This biomarker may reduce the number of unnecessary biopsies in breast patients. Although different methods have been developed so far for this purpose, none of them have focused on in vivo and in situ assessment of local viscoelastic properties in the ultra-low (sub-Hertz) frequency range. Here we introduce a new, noninvasive model-free method called Loss Angle Mapping (LAM). We assessed the performance results on 156 breast patients. The method was further improved by detection of out-of-plane motion using motion compensation cross correlation method (MCCC). 45 patients met this MCCC criterion and were considered for data analysis. Among this population, we found 77.8% sensitivity and 96.3% specificity (p < 0.0001) in discriminating between benign and malignant tumors using logistic regression method regarding the pre known information about the BIRADS number and size. The accuracy and area under the ROC curve, AUC, was 88.9% and 0.94, respectively. This method opens new avenues to investigate the mechanobiology behavior of different tissues in a frequency range that has not yet been explored in any in vivo patient studies.
机译:良性和恶性肿瘤在其细胞微环境的粘弹性特性以及对极低频刺激的时空响应方面有所不同。这些差异可以在良性和恶性肿瘤的分化中引入独特的粘弹性生物标志物。这种生物标志物可以减少乳腺癌患者不必要的活检次数。尽管到目前为止已经为此目的开发了不同的方法,但是它们都没有集中在体内和原位评估超低(亚赫兹)频率范围内的局部粘弹性质。在这里,我们介绍了一种称为损失角映射(LAM)的新的,无创的,无模型的方法。我们评估了156例乳腺癌患者的表现结果。通过使用运动补偿互相关方法(MCCC)检测平面外运动,进一步改进了该方法。 45名患者符合此MCCC标准,并考虑进行数据分析。在该人群中,使用关于BIRADS数量和大小的已知信息的逻辑回归方法,在区分良性和恶性肿瘤时发现77.8%的敏感性和96.3%的特异性(p <0.0001)。 ROC曲线下的准确度和面积AUC分别为88.9%和0.94。该方法开辟了新途径,以调查尚未在任何体内患者研究中探索的频率范围内不同组织的力学生物学行为。

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