Title |
Breast cancer detection rates using four different types of mammography detectors
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Published in |
European Radiology, June 2015
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DOI | 10.1007/s00330-015-3885-y |
Pubmed ID | |
Authors |
Alistair Mackenzie, Lucy M. Warren, Matthew G. Wallis, Julie Cooke, Rosalind M. Given-Wilson, David R. Dance, Dev P. Chakraborty, Mark D. Halling-Brown, Padraig T. Looney, Kenneth C. Young |
Abstract |
To compare the performance of different types of detectors in breast cancer detection. A mammography image set containing subtle malignant non-calcification lesions, biopsy-proven benign lesions, simulated malignant calcification clusters and normals was acquired using amorphous-selenium (a-Se) detectors. The images were adapted to simulate four types of detectors at the same radiation dose: digital radiography (DR) detectors with a-Se and caesium iodide (CsI) convertors, and computed radiography (CR) detectors with a powder phosphor (PIP) and a needle phosphor (NIP). Seven observers marked suspicious and benign lesions. Analysis was undertaken using jackknife alternative free-response receiver operating characteristics weighted figure of merit (FoM). The cancer detection fraction (CDF) was estimated for a representative image set from screening. No significant differences in the FoMs between the DR detectors were measured. For calcification clusters and non-calcification lesions, both CR detectors' FoMs were significantly lower than for DR detectors. The calcification cluster's FoM for CR NIP was significantly better than for CR PIP. The estimated CDFs with CR PIP and CR NIP detectors were up to 15 % and 22 % lower, respectively, than for DR detectors. Cancer detection is affected by detector type, and the use of CR in mammography should be reconsidered. • The type of mammography detector can affect the cancer detection rates. • CR detectors performed worse than DR detectors in mammography. • Needle phosphor CR performed better than powder phosphor CR. • Calcification clusters detection is more sensitive to detector type than other cancers. |
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Mendeley readers
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Demographic breakdown
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Researcher | 18 | 22% |
Student > Ph. D. Student | 10 | 12% |
Student > Bachelor | 7 | 9% |
Other | 6 | 7% |
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Other | 13 | 16% |
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Unknown | 28 | 35% |