预测乳腺肿瘤对新辅助化疗反应的先进技术。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2021-03-01
Mohamed Abbas
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引用次数: 0

摘要

新辅助疗法是通过预防药物治疗乳腺癌。这种新型的化疗是根据肿瘤的大小来制定的,这样可以减少肿瘤的体积,给患者更多的手术选择。新辅助激素治疗也有助于在手术前缩小淋巴结或乳房其他部位的乳腺癌。治疗的一个重要方面是预测乳房肿瘤对新辅助化疗的反应。在这里,最新的先进的乳房肿瘤反应技术已经提出了这种类型的治疗。这些技术分为三类:深度和机器学习、定量超声光谱学和磁共振成像。这些方法对于预测肿瘤对新辅助化疗的化学反应非常重要。肿瘤反应评估导致有效的化学治疗,从而减少乳房肿瘤的大小,并允许手术有效地切除肿瘤。
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Advanced Techniques in Predicting Breast Tumor Response to Neoadjuvant Chemotherapy.

Neoadjuvant therapy is used to treat breast cancer through preventive agents. This new type of chemotherapy is prescribed according to the size of the tumor, so as to reduce the tumor mass and give more surgical options. Neoadjuvant hormone treatment is also helping to shrink breast cancer in lymph nodes or elsewhere in the breast before surgery. A significant aspect of the treatment is to predict breast tumor response to neoadjuvant chemotherapy. Here, the latest advanced breast tumor response techniques have been presented for this type of therapy. These techniques are classified into three categories: deep and machine learning, quantitative ultrasound spectroscopy, and magnetic resonance imaging. These methods were important for the prediction of a tumor's chemical response to the neoadjuvant chemotherapy. Tumor response assessment leads to effective chemical treatment, which decreases the size of the breast tumor and allows surgery to remove the tumor effectively.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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