JOURNAL ARTICLE

Influence of Various Breast Factors on the Quality of Strain Elastograms

Song GuoJing LiMa YanCong ShangXuejiao Wang

Year: 2015 Journal:   Journal of Ultrasound in Medicine Vol: 34 (3)Pages: 395-400   Publisher: Wiley

Abstract

Objectives To determine the influence of the depth and size of breast lesions, the thickness of the adipose layer, and the thickness of the breast on the quality of strain elastograms obtained from Chinese women. Methods Ultrasound elastography was conducted on 326 breast lesions in 272 women. The quality of the images was evaluated according to criteria for satisfactory and unsatisfactory elastograms. Univariate and multivariate logistic regression analyses were conducted to determine the relationship between measured factors and image quality. Results Among the 326 lesions, 300 (92%) had satisfactory images, and 26 (8%) had unsatisfactory images. Univariate analyses indicated that all of the data from the unsatisfactory group were higher than the data from the satisfactory group in terms of the distance from the deep and superficial edges of the lesion to the skin, the thickness of the adipose layer anterior to the lesion, and the breast thickness at the location of the lesion (all P < .05 ). Lesions in the unsatisfactory group were larger than those in the satisfactory group when the distance from the deep edge of the lesion to the skin was between 2.1 and 2.5 cm and the distance from the superficial edge of the lesion to the skin was between 1.6 and 2.3 cm (all P < .05). Multivariate logistic regression analysis revealed that both the distance from the superficial edge of the lesion to the skin (odds ratio, 18.335; P = .029) and the breast thickness at the location of the lesion (odds ratio, 20.447; P < .001) were the independent influencing factors that affected the quality of elastograms. Conclusions Satisfactory images are more easily acquired if the lesion is relatively superficial or located in areas of thinner breast thickness. Furthermore, among deeper lesions, satisfactory images are more common in large lesions.

Keywords:
Medicine Lesion Logistic regression Elastography Odds ratio Univariate analysis Ultrasound Univariate Radiology Multivariate analysis Internal medicine Multivariate statistics Pathology

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Citation History

Topics

Ultrasound Imaging and Elastography
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Photoacoustic and Ultrasonic Imaging
Physical Sciences →  Engineering →  Biomedical Engineering
Ultrasonics and Acoustic Wave Propagation
Physical Sciences →  Engineering →  Mechanics of Materials
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