Wienbeck Susanne, Fischer Uwe, Perske Christina, Wienke Andreas, Meyer Hans Jonas, Lotz Joachim, Surov Alexey
Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany.
Diagnostic Breast Center Goettingen, Goettingen, Germany.
Transl Oncol. 2017 Aug;10(4):599-603. doi: 10.1016/j.tranon.2017.05.004. Epub 2017 Jun 27.
Recently, cone-beam breast computed tomography (CBCT) is established for the breast investigation. The purpose of the present study was to investigate possible associations between CBCT findings and histopathological features in breast cancer.
Overall, 59 female patients, mean age of 64.6 years with histological proven breast cancer were included into the study. In all cases, non-contrast CBCT examination was done. The diagnosis of the identified lesions was confirmed histologically by biopsy. Immunohistochemical staining against estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67 was performed for every lesion. Collected data were evaluated by means of descriptive statistics. Spearman's correlation coefficient was used to analyze the association between CT density and Ki-67 values. P values <0.05 were taken to indicate statistical significance in all instances.
The size of the lesion varied from 2.7 to 90.0, mean size, 15.88±13.0 mm. The mean value of CT density of the lesions was 63.95±38.18 HU. The density tended to be higher in tubular carcinoma. Correlation analysis identified no significant correlations between CT density and Ki-67 level (r=-0.031, P=.784). There were no statistically significant differences of CT density between tumors with different receptor status.
No significant associations between CT density and receptor status in breast cancer. Tubular carcinoma tended to have higher CT density in comparison to other subtypes of breast carcinomas.
近年来,锥形束乳腺计算机断层扫描(CBCT)已被用于乳腺检查。本研究的目的是探讨CBCT表现与乳腺癌组织病理学特征之间可能存在的关联。
本研究共纳入59例女性患者,平均年龄64.6岁,组织学确诊为乳腺癌。所有病例均进行了非增强CBCT检查。经活检组织学确诊所发现的病变。对每个病变进行雌激素受体(ER)、孕激素受体(PR)、人表皮生长因子受体2(HER2)和Ki-67的免疫组化染色。收集的数据采用描述性统计方法进行评估。采用Spearman相关系数分析CT密度与Ki-67值之间的相关性。所有情况下,P值<0.05表示具有统计学意义。
病变大小从2.7到90.0不等,平均大小为15.88±13.0mm。病变的CT密度平均值为63.95±38.18HU。管状癌的密度往往更高。相关性分析未发现CT密度与Ki-67水平之间存在显著相关性(r=-0.031,P=0.784)。不同受体状态的肿瘤之间CT密度无统计学显著差异。
乳腺癌的CT密度与受体状态之间无显著关联。与其他亚型的乳腺癌相比,管状癌的CT密度往往更高。