Different pixel pitch and maximum luminance of medical grade displays may result in different evaluations of digital radiography images
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To evaluate the effects of display pixel pitch and maximum luminance on intra- and inter-observer reproducibility and observer performance when evaluating chest lesions and bone fractures.
Materials and methods
This was a multi-institutional study for a retrospective interpretation of selected digital radiography images. Overall, 82 images were selected by senior radiologists, including 50 cases of chest lesions and 32 cases of bone fractures. These images were displayed at two pixel pitches (0.212 and 0.165 mm size pixels) and two maximum luminance values (250 and 500 cd/m2) and reviewed twice by senior and junior radiologists. All the observers had to indicate the likelihood of the presence of the lesions and to rate the relative confidence of their assessment. Cohen Kappa statistic was computed to estimate the reproducibility in correctly identifying lesions; for multi-reader-multi-case (MRMC) analysis, weighted Jackknife Alternative Free-response Receiver Operating Characteristic (wJAFROC) statistical tools was applied.
The intra-radiologist and inter-observer reproducibility values were the highest for the 0.165 mm size pixel at 500 cd/m2 display, for both chest lesions and bone fractures evaluations. As regards chest lesions, observer performances were significantly greater with 0.165 mm size pixel display at 500 cd/m2 than with lower maximum luminance and/or larger pixel pitch displays. Concerning bone fractures, the performance obtained with 0.212 mm size pixel display at 250 cd/m2 was statistically lower than that obtained with 0.165 mm sixe pixel display at 500 cd/m2.
Our results indicate that an increased maximum luminance level and a decreased pixel pitch of medical-grade display improve the accuracy of detecting both chest lesions and bone fractures.
KeywordsDigital radiography images ROC curve Radiographic image interpretation Liquid crystal display Medical grade display
The authors state that this work has not received any funding.
Compliance with ethical standards
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. All the authors declare that they have no conflict of interest.
All procedures performed in our study involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Written informed consent was not required for this study according to the Italian Directive n.9 2014 “General authorization to the processing of personal data carried out for scientific research purposes”.
- 4.Yabuuchi H, Matsuo Y, Kamitani T et al (2015) Detectability of T1a lung cancer on digital chest radiographs: an observer-performance comparison among 2-megapixel general-purpose, 2-megapixel medical-purpose, and 3-megapixel medical-purpose liquid-crystal display (LCD) monitors. Acta Radiol 56(8):943–949CrossRefPubMedGoogle Scholar
- 9.IEC 62563-1:2009 (2009) Medical electrical equipment—medical image display systems—part 1: evaluation methods. http://webstore.iec.ch/publication/7209. Accessed 10 Dec 2009
- 12.Dendumrongsup T, Plumb AA, Halligan S, Fanshawe TR, Altman DG, Mallet S (2014) Multi-reader multi-case studies using the area under the receiver operator characteristic curve as a measure of diagnostic accuracy: systematic review with a focus on quality of data reporting. PLoS One 9(12):e116018CrossRefPubMedPubMedCentralGoogle Scholar
- 16.Chakraborty DP, Zhai X (2016) Analysis of data acquired using ROC paradigm and its extensions. https://cran.r-project.org/web/packages/RJafroc/vignettes/RJafroc.pdf. Accessed 19 Jul
- 17.Kimpe TRL, Xthona A (2012) Quantification of detection probability of microcalcifications at increased display luminance levels. In: Maidment ADA, Bakic PR, Gavenonis S (eds) Breast Imaging. IWDM 2012. Lecture notes in computer science, vol 7361. Springer, Berlin, HeidelbergGoogle Scholar