Association between breast density, lesions characteristic and diagnosis error in mammography

Norhashimah Mohd Norsuddin; Farah Atiqah Maslan

doi:10.1117/12.2564306

22 May 2020 Association between breast density, lesions characteristic and diagnosis error in mammography

Norhashimah Mohd Norsuddin, Farah Atiqah Maslan

Proceedings Volume 11513, 15th International Workshop on Breast Imaging (IWBI2020); 115132C (2020) https://doi.org/10.1117/12.2564306
Event: Fifteenth International Workshop on Breast Imaging, 2020, Leuven, Belgium

Abstract

Breast density and lesions characteristic are important determinant to discriminate between benign from malignant tissue. This study was conducted to determine the association between breast density and lesions characteristic with diagnosis error in mammography. A total of 167 mammographic cases irrespective of the indication for mammography, whether screening or diagnostic performed from 2011-2017 were retrospectively identified from the clinical database. Descriptive statistic and chi square test series were used to analyze the data. Majority (89%) mammographic cases in this study had a false positive (FP) and 11% had a false negative (FN) result. FP cases more likely occurred among Malay women (57.6%) as compared to Chinese (33.3%), Indian (6.0%) and others (3.3%). In contrast with FP, FN cases were mostly occurred among Chinese (41.2%) as compared with other races. Masses were the most common type of lesions in both FP (77.3%) and FN cases (88.2%). No significant association was found between breast density and lesions characteristic with diagnosis error in mammography. Most of the lesions found in FP and FN cases were in women with denser breast. Lesions found in FP groups have characteristic that mimic malignancy, while lesions in FN group not necessarily has the criteria of benign lesions.

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Norhashimah Mohd Norsuddin and Farah Atiqah Maslan "Association between breast density, lesions characteristic and diagnosis error in mammography", Proc. SPIE 11513, 15th International Workshop on Breast Imaging (IWBI2020), 115132C (22 May 2020); https://doi.org/10.1117/12.2564306

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KEYWORDS

Mammography

Breast

Tissues

Breast cancer

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