Correlation of ultrasound findings with histology, tumor grade, and biological markers in breast cancer
Correlation of ultrasound findings with histology, tumor grade, and biological markers in breast cancer
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DOI：
10.1080/02841860801971413
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发表时间：
2008-01-01
期刊：
影响因子：
3.1
通讯作者：
Lee, Ju-Han
中科院分区：
文献类型：
--
作者：
Kim, Sung Hyun;Seo, Bo Kyoung;Lee, Ju-Han
背景和目的。超声已成功地用于区分良性和恶性乳腺病变。本研究的目的是探讨超声与乳腺癌预后指标之间的相关性，如组织学类型，肿瘤分级和生物学标志物。材料和方法。分析458例乳腺癌的超声表现（形态、边缘、方向、边界、回声模式、后方声学特征和钙化的存在），并通过单因素和多因素Logistic回归分析与肿瘤类型、肿瘤分级和生物学标志物相关。生物学标志物为雌激素受体、孕激素受体和HER-2/neu。结果浸润性癌形态不规则、方向不平行、回声低或复杂者多于原位癌（P < 0.05）。低分化浸润性癌较中/高分化浸润性癌边缘不清、边界突变、低回声或复杂回声型多见（p < 0.05）。雌激素或孕激素受体阴性的肿瘤多表现为低回声或复杂回声，HER-2/neu阳性的肿瘤有更多的钙化（p < 0.05）。结论乳腺癌的超声声像图特征与肿瘤类型、肿瘤分级及生物学标志物有关，可用于预测预后。
Background and purpose. Ultrasound has been used successfully to differentiate benign and malignant breast lesions. The aim of this study was to investigate the correlation between ultrasound and prognostic indicators in breast cancer such as histological type, tumor grade, and biological markers. Materials and methods. Ultrasound findings (shape, margin, orientation, boundary, echo pattern, posterior acoustic feature, and presence of calcifications) of 458 breast cancers were analyzed and correlated with the tumor type, tumor grade, and biological markers by univariate and multivariate logistic regression analyses. The biological markers were estrogen receptor, progesterone receptor, and HER-2/neu. Results. Invasive cancers displayed more frequently an irregular shape, a not parallel orientation, and a hypoechoic or complex echo pattern than carcinoma in situ cases (p < 0.05). Poorly differentiated invasive cancers had more frequently not circumscribed margins, an abrupt boundary, and a hypoechoic or complex echo pattern than moderately/well differentiated cancers (p < 0.05). Estrogen or progesterone receptor negative cancers more often displayed a hypoechoic or complex echo pattern and HER-2/neu positive cancers had more calcifications (p < 0.05). Conclusion. Ultrasound pattern is correlated with tumor type, tumor grade, and biological markers in breast cancers and it may be useful for prediction of prognosis.