Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography.
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). Ea...
| Publicado en: | European Radiology Vol. 22; no. 4; pp. 908 - 915 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Apr2012
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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=104534361&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104534361 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Apr2012 vid: 22 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104534361 NLM22071778 2011490203 10.1007/s00330-011-2320-2 NLM22071778 PMC3297744 104534361 ppf: 908 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography. aug: au: Visser R Veldkamp WJ Beijerinck D Bun PA Deurenberg JJ Imhof-Tas MW Schuur KH Snoeren MM den Heeten GJ Karssemeijer N Broeders MJ Visser, Roelant Veldkamp, Wouter J H Beijerinck, David Bun, Petra A M Deurenberg, Jan J M Imhof-Tas, Mechli W Schuur, Klaas H Snoeren, Miranda M den Heeten, Gerard J affil: National Expert and Training Centre for Breast Cancer Screening, P.O. Box 6873, 6503 GJ, Nijmegen, the Netherlands sug: subj: Breast Neoplasms Epidemiology Breast Neoplasms Radiography Early Detection of Cancer Statistics and Numerical Data Mammography Statistics and Numerical Data Radiographic Image Enhancement Methods Aged Aged, 80 and Over Breast Neoplasms Prevention and Control Female Human Middle Age Netherlands Observer Bias Prevalence Risk Assessment Risk Factors Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female ab: 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 <0.0083) for four radiologists.Conclusions: Optimisation of local contrast by image processing may increase perceived case suspiciousness, while diagnostic accuracy may remain similar.Key Points: Variations among different image processing algorithms for digital screening mammography are large. Current algorithms still aim for optimal local contrast with a low dynamic range. Although optimisation of contrast may increase sensitivity, diagnostic accuracy is probably unchanged. Increased local contrast may render both normal and abnormal structures more conspicuous. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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