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脂肪-腺体界面(FGI)在乳腺癌发生中的潜在作用:超声断层扫描(UST)研究结果

The Potential Role of the Fat-Glandular Interface (FGI) in Breast Carcinogenesis: Results from an Ultrasound Tomography (UST) Study.

作者信息

Duric Nebojsa, Sak Mark, Littrup Peter J

机构信息

Department of Imaging Sciences, University of Rochester, Rochester, NY 14642, USA.

Delphinus Medical Technologies Inc., Novi, MI 48374, USA.

出版信息

J Clin Med. 2021 Nov 29;10(23):5615. doi: 10.3390/jcm10235615.

Abstract

This study explored the relationship between the extent of the fat-glandular interface (FGI) and the presence of malignant vs. benign lesions. Two hundred and eight patients were scanned with ultrasound tomography (UST) as part of a Health Insurance Portability and Accountability Act (HIPAA)-compliant study. Segmentation of the sound speed images, employing the k-means clustering method, was used to help define the extent of the FGI for each patient. The metric, α, was defined as the surface area to volume ratio of the segmented fibroglandular volume and its mean value across patients was determined for cancers, fibroadenomas and cysts. ANOVA tests were used to assess significance. The means and standard deviations of α for cancers, fibroadenomas and cysts were found to be 4.0 ± 2.0 cm, 3.1 ± 1.7 cm and 2.3 ± 0.9 cm, respectively. The differences were statistically significant ( < 0.001). The separation between the groups increased when α was measured on only the image slice where the finding was most prominent, with values for cancers, fibroadenomas and cysts of 5.4 ± 3.6 cm, 3.6 ± 2.3 cm and 2.4 ± 1.5 cm, respectively. Of the three types of masses studied, cancer was associated with the most extensive FGIs, suggesting a potential role for the FGI in carcinogenesis, a subject for future studies.

摘要

本研究探讨了脂肪-腺体界面(FGI)范围与恶性病变和良性病变存在之间的关系。作为一项符合《健康保险流通与责任法案》(HIPAA)的研究的一部分,对208名患者进行了超声断层扫描(UST)。采用k均值聚类方法对声速图像进行分割,以帮助确定每位患者的FGI范围。度量指标α被定义为分割后的纤维腺体体积的表面积与体积之比,并确定了癌症、纤维腺瘤和囊肿患者的α平均值。使用方差分析(ANOVA)测试来评估显著性。发现癌症、纤维腺瘤和囊肿的α均值和标准差分别为4.0±2.0厘米、3.1±1.7厘米和2.3±0.9厘米。差异具有统计学显著性(<0.001)。当仅在发现最明显的图像切片上测量α时,各组之间的差异增大,癌症、纤维腺瘤和囊肿的α值分别为5.4±3.6厘米、3.6±2.3厘米和2.4±1.5厘米。在所研究的三种类型的肿块中,癌症与最广泛的FGI相关,这表明FGI在致癌过程中可能发挥作用,这是未来研究的一个课题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f196/8658427/0438d3e39602/jcm-10-05615-g001.jpg

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