BMC Medical Imaging | |
Usefulness of grayscale inverted images in addition to standard images in digital mammography | |
Research Article | |
Ayşegül Altunkeser1  M. Kazım Körez2  | |
[1] Department of Radiology, Konya Education and Research Hospital, Konya, Turkey;Konya Eğitim ve Araştırma Hastanesi, Radyoloji Bölümü, Hacı Şaban Mah, Meram Yeni Yol Caddesi, No: 97, PK: 42090, Meram, Konya, Turkey;Department of Statistics, Faculty of Science, Selcuk University, Konya, Turkey; | |
关键词: Digital mammography; Macrocalcification; Microcalcification; Grayscale inverted images; | |
DOI : 10.1186/s12880-017-0196-6 | |
received in 2017-01-03, accepted in 2017-04-04, 发布年份 2017 | |
来源: Springer | |
【 摘 要 】
BackgroundMammography is essential for early diagnosis of breast cancer, which is the most common type of cancer in females that is associated with a high mortality rate. We investigated whether evaluation of the grayscale inverted images of mammograms would aid in increasing the diagnostic sensitivity of the mammographic imaging technique.MethodsOur study included 636 mammograms of 159 women who had undergone digital mammography. Standard, grayscale inverted, and standard plus grayscale inverted images were sequentially examined three times, at 15-day intervals, for the presence or assessment of pathological changes in the skin, calcification, asymmetric density, mass lesions, structural distortions, and intramammary and axillary lymph nodes. To determine whether grayscale inverted image assessment improved detection rates, the results of the three assessment modes were compared using Cochran’s Q test and the McNemar test (p < 0.05 was considered statistically significant).ResultsThe average age of 159 patients was 50.4 years (range, 35–80 years). There were significant differences among the three assessment modes with respect to calcification and intramammary lymph nodes (p < 0.05); however, no significant differences were observed for the detection of other parameters.ConclusionsAssessment of grayscale inverted images in addition to standard images facilitates the detection of microcalcification.
【 授权许可】
CC BY
© The Author(s). 2017
【 预 览 】
Files | Size | Format | View |
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RO202311097972153ZK.pdf | 1117KB | download |
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