Breast cancer detection rates using four different types of mammography detectors.
Objective: To compare the performance of different types of detectors in breast cancer detection.Methods: A mammography image set containing subtle malignant non-calcification lesions, biopsy-proven benign lesions, simulated malignant calcification clusters and normals was acquired using amorphous-s...
| Publicado en: | European Radiology Vol. 26; no. 3; pp. 874 - 884 |
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| Autores principales: | , , , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=112861103&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 112861103 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Mar2016 vid: 26 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 112861103 112861103 NLM26105023 112861103 10.1007/s00330-015-3885-y NLM26105023 PMC4691226 [Available on 03/01/17] 112861103 ppf: 874 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Breast cancer detection rates using four different types of mammography detectors. aug: au: Mackenzie, Alistair Warren, Lucy Wallis, Matthew Cooke, Julie Given-Wilson, Rosalind Dance, David Chakraborty, Dev Halling-Brown, Mark Looney, Padraig Young, Kenneth Warren, Lucy M Wallis, Matthew G Given-Wilson, Rosalind M Dance, David R Chakraborty, Dev P Halling-Brown, Mark D Looney, Padraig T Young, Kenneth C affil: Cambridge Breast Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge & NIHR Cambridge Biomedical Research Centre, Cambridge UK sug: subj: Breast Neoplasms Radiography Calcinosis Radiography Mammography Equipment and Supplies Aged ROC Curve Early Detection of Cancer Equipment and Supplies Early Detection of Cancer Methods Middle Age Health Screening Equipment and Supplies Needles Female Observer Bias Human Health Screening Methods Mammography Methods Radiographic Image Enhancement Methods Validation Studies Comparative Studies Evaluation Research Multicenter Studies Caregiver Strain Index Funding Source Aged: 65+ years Middle Aged: 45-64 years Female ab: Objective: To compare the performance of different types of detectors in breast cancer detection.Methods: 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.Results: 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.Conclusion: Cancer detection is affected by detector type, and the use of CR in mammography should be reconsidered.Key Points: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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