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作 者:康子曼 杨聃琳(综述)[1] 孙建男(审校)[1] KANG Ziman;YANG Danlin;SUN Jiannan(Department of MRI,Daqing Oilfield General Hospital,Daqing 163000,China)
机构地区:[1]大庆油田总医院磁共振成像室,大庆163000
出 处:《实用肿瘤学杂志》2022年第5期472-476,共5页Practical Oncology Journal
摘 要:乳腺癌具有高度异质性,其异质性是造成患者误诊率较高、治疗反应较差及预后不理想等方面的主要原因。纹理分析通过提取不同序列图像纹理特征来评价瘤体及其周围基质的异质性,并将结果与临床、组织病理学和基因组信息相结合,让其能无创地对乳腺病变进行前瞻性评估和预测。随着医学成像领域的高速发展,纹理分析技术不断进步,能够更准确地判断乳腺病变的性质及预后,为临床精准治疗提供更多的信息。本文就纹理分析在鉴别乳腺肿瘤良恶性、预测乳腺癌分子亚型及评估乳腺肿瘤新辅助化疗疗效等方面展开综述。Breast cancer is highly heterogeneous,and its heterogeneity is the main reason for high misdiagnosis rate,poor treatment response and poor prognosis.Texture analysis evaluates the heterogeneity of tumor body and its surrounding stroma by extracting texture features of different sequence images,and combines the results with clinical,histopathological,and genomic information,so that it can make a noninvasive prospective evaluation and prediction of breast lesions.With the rapid development of medical imaging,texture analysis technology continues to improve,which can more accurately judge the nature and prognosis of breast lesions,and provide more information for clinical precise treatment.This review focuses on the application of texture analysis in differentiating benign and malignant breast tumors,predicting molecular subtypes of breast cancer,and evaluating the efficacy of neoadjuvant chemotherapy for breast cancer.
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