Literature DB >> 26960461

The accuracy of Breastlight in detection of breast lesions.

S M Shiryazdi, S Kargar1, H T Nasaj, H Neamatzadeh, N Ghasemi.   

Abstract

AIM: Breastlight is a new product to improve breast health awareness of women. However, its accuracy in detection of breast lesions (BLs) is unknown. The aim of this study was to determine the Breastlight accuracy in detection of BLs.
MATERIALS AND METHODS: From July 2011 to September 2013, a total of 500 women referred to mammography unit in Yazd, Iran for screening were recruited to the study. The sensitivity and specificity of Breast light was measured with clinical breast examination (CBE), mammography and sonography. Sonographic and mammography examinations were performed according to breast density among women in two groups of younger (n = 105) and older (n = 395) than 30 years.
RESULTS: The results have shown a statistically significant positive correlation between Breastlight, CBE, sonography, and mammography in detection of BLs. Breastlight significantly detected 60.3%, 35.8%, and 59% of lesions which were detected by mammography, CBE, and sonography, respectively. Its sensitivity varied significantly with breast density. Comparing the sensitivity of Breastlight among women younger and older than 30 years indicated that the Breastlight had a higher sensitivity for women older than 30 years. The greatest and lowest portion of positive predictive value occurred with CBE (94.7%) and mammography (91.1%). As well, its greatest and lowest portion of negative predictive value occurred with CBE (65.6%) and sonography (29.7%).
CONCLUSION: The results of this study showed that the efficacy of Breastlight in detection of breast changes as domestic apparatus was appropriate. However, it is recommended further studies to evaluate the Breastlight efficacy and accuracy in detection of the BLs.

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Year:  2015        PMID: 26960461     DOI: 10.4103/0019-509X.178389

Source DB:  PubMed          Journal:  Indian J Cancer        ISSN: 0019-509X            Impact factor:   1.224


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