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Breast Elastography: Identification of benign and malignant cancer based on absolute elastic modulus measurement using Vibro-Elastography

机译:乳房弹性成像:基于绝对弹性模量的振动弹性成像测量,确定良性和恶性癌症

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Breast cancer is a public health problem with ~ 1.7 million new cases per year worldwide and with several limitations in the state-of-art screening techniques. Ultrasound elastography involves a set of techniques intended to facilitate the noninvasive diagnosis of cancer. Among these. Vibro-elastography is an ultrasound-based technique that employs external mechanical excitation to infer the elastic properties of soft tissue. In this paper, we evaluate the Vibro-elastography performance in the differentiation of benign and malignant, breast lesions. For this study, a group of 18 women with clinically confirmed tumors or suspected malignant breast lesions were invited to participate. For each volunteer, an elastogram was obtained, and the mean elasticity of the lesion and the adjacent healthy tissue were calculated. After the acquisition, the volunteers underwent, core-needle biopsy. The histopathological results allowed to validate the Vibro-elastography diagnosis, which ranged from benign to malignant lesions.Results indicate that the mean elasticity value of the benign lesions, malignant lesions and healthy breast tissue were 39.4 ± 12 KPa, 55.4 ± 7.02 KPa and 23.91 ± 4.57 kPa, respectively. The classification between benign and malignant breast cancer was performed using Support Vector Machine based on the measured lesion stiffness. A ROC curve permitted to quantify the accuracy of the differentiation and to define a suitable cutoff value of stiffness, obtaining an AUC of 0.90 and a cutoff value of 44.75 KPa. The results obtained suggest that Vibro-elastography allows differentiating between benign and malignant lesions. Furthermore, the elasticity values obtained for benign, malignant a.nd healthy tissue are consistent with previous reports.
机译:乳腺癌是一个公共卫生问题,全世界每年〜170万新案例,最先进的筛查技术中有几个限制。超声弹性成像涉及一组技术,旨在促进癌症的非侵入性诊断。在这些当中。 Vibro-Eleastapraphy是一种基于超声的技术,采用外部机械激发来推断软组织的弹性性能。在本文中,我们评估了良性和恶性肿瘤患者分化的振动弹性成像性能。对于这项研究,邀请了一组18名患有临床证实肿瘤或疑似恶性乳房病变的女性参加。对于每个志愿者,获得弹性图,并计算病变和相邻的健康组织的平均弹性。收购后,志愿者接受了核心针活检。允许验证组织病理学结果验证vibro-elastography诊断,从良性到恶性病变。结果表明,良性病变,恶性病变和健康乳腺组织的平均弹性值为39.4±12 kPa,55.4±7.02 kPa和23.91分别为±4.57 KPA。基于测量的病变刚度,使用支撑载体机进行良性和恶性乳腺癌的分类。允许的ROC曲线量化分化的准确性,并限定刚度的合适截止值,获得0.90的AUC和44.75kPa的截止值。得到的结果表明,振动弹性成像允许区分良性和恶性病变。此外,对于良性,恶性A.ND健康组织获得的弹性值与之前的报告一致。

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