Effect of image processing version on detection of non-calcification cancers in 2D digital mammography imaging

L. M. Warren; J. Cooke; R. M. Given-Wilson; M. G. Wallis; M. Halling-Brown; A. Mackenzie; D. P. Chakraborty; H. Bosmans; D. R. Dance; K. C. Young

doi:10.1117/12.2008494

28 March 2013 Effect of image processing version on detection of non-calcification cancers in 2D digital mammography imaging

L. M. Warren, J. Cooke, R. M. Given-Wilson, M. G. Wallis, M. Halling-Brown, A. Mackenzie, D. P. Chakraborty, H. Bosmans, D. R. Dance, K. C. Young

Author Affiliations +

Proceedings Volume 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment; 86730O (2013) https://doi.org/10.1117/12.2008494
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Image processing (IP) is the last step in the digital mammography imaging chain before interpretation by a radiologist. Each manufacturer has their own IP algorithm(s) and the appearance of an image after IP can vary greatly depending upon the algorithm and version used. It is unclear whether these differences can affect cancer detection. This work investigates the effect of IP on the detection of non-calcification cancers by expert observers. Digital mammography images for 190 patients were collected from two screening sites using Hologic amorphous selenium detectors. Eighty of these cases contained non-calcification cancers. The images were processed using three versions of IP from Hologic – default (full enhancement), low contrast (intermediate enhancement) and pseudo screen-film (no enhancement). Seven experienced observers inspected the images and marked the location of regions suspected to be non-calcification cancers assigning a score for likelihood of malignancy. This data was analysed using JAFROC analysis. The observers also scored the clinical interpretation of the entire case using the BSBR classification scale. This was analysed using ROC analysis. The breast density in the region surrounding each cancer and the number of times each cancer was detected were calculated. IP did not have a significant effect on the radiologists’ judgment of the likelihood of malignancy of individual lesions or their clinical interpretation of the entire case. No correlation was found between number of times each cancer was detected and the density of breast tissue surrounding that cancer.

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L. M. Warren, J. Cooke, R. M. Given-Wilson, M. G. Wallis, M. Halling-Brown, A. Mackenzie, D. P. Chakraborty, H. Bosmans, D. R. Dance, and K. C. Young "Effect of image processing version on detection of non-calcification cancers in 2D digital mammography imaging", Proc. SPIE 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment, 86730O (28 March 2013); https://doi.org/10.1117/12.2008494

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