Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography
| Autor: | Gerard J. den Heeten, Miranda M. Snoeren, Mechli W. Imhof-Tas, Wouter J. H. Veldkamp, Klaas H. Schuur, Mireille J. M. Broeders, Roelant Visser, Petra A. M. Bun, Nico Karssemeijer, David Beijerinck, Jan J. M. Deurenberg |
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| Přispěvatelé: | Cancer Center Amsterdam, Amsterdam Public Health, Biomedical Engineering and Physics, Radiology and Nuclear Medicine |
| Rok vydání: | 2012 |
| Předmět: |
medicine.medical_specialty
media_common.quotation_subject Diagnostic accuracy Breast Neoplasms Materials testing Aetiology screening and detection [ONCOL 5] Risk Assessment Image processing Risk Factors medicine Prevalence Contrast (vision) Mammography Humans Recall rate Radiology Nuclear Medicine and imaging Breast skin and connective tissue diseases Early Detection of Cancer media_common Aged Netherlands Molecular epidemiology Aetiology screening and detection [NCEBP 1] Aged 80 and over Observer Variation X ray radiography medicine.diagnostic_test business.industry Screening mammography Data Science General Medicine Middle Aged Radiographic Image Enhancement Radiology Nuclear Medicine and imaging Western europe Screening Female Radiology business |
| Zdroj: | European Radiology, 22, 908-14 European Radiology, 22, 4, pp. 908-14 European radiology, 22(4), 908-914. Springer Verlag European Radiology, 22(4), 908-914 European Radiology |
| ISSN: | 0938-7994 |
| Popis: | Item does not contain fulltext OBJECTIVES: To determine the influence of local contrast optimisation on diagnostic accuracy and perceived suspiciousness of digital screening mammograms. METHODS: Data were collected from a screening region in the Netherlands and consisted of 263 digital screening cases (153 recalled,110 normal). Each case was available twice, once processed with a tissue equalisation (TE) algorithm and once with local contrast optimisation (PV). All cases had digitised previous mammograms. For both algorithms, the probability of malignancy of each finding was scored independently by six screening radiologists. Perceived case suspiciousness was defined as the highest probability of malignancy of all findings of a radiologist within a case. Differences in diagnostic accuracy of the processing algorithms were analysed by comparing the areas under the receiver operating characteristic curves (A(z)). Differences in perceived case suspiciousness were analysed using sign tests. RESULTS: There was no significant difference in A(z) (TE: 0.909, PV 0.917, P = 0.46). For all radiologists, perceived case suspiciousness using PV was higher than using TE more often than vice versa (ratio: 1.14-2.12). This was significant (P |
| Databáze: | OpenAIRE |
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