Does image reduction affect the diagnostic accuracy of digital mammograms?

Yumi Takane; Yusuke Kawasumi; Tsunemitsu Horie; Tadashi Ishibashi

doi:10.1117/12.2008169

Does image reduction affect the diagnostic accuracy of digital mammograms?

Yumi Takane, Yusuke Kawasumi, Tsunemitsu Horie, Tadashi Ishibashi

MED - Health Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

We aimed to evaluate the influence of image reduction using a bi-cubic interpolation method on the accuracy of detection of clustered microcalcifications (MCLs) and masses on digital mammograms. Digital mammograms (n=194) of 97 subjects were selected retrospectively, comprising 47 patients with clustered MCLs or masses and 52 controls. Images were acquired in the craniocaudal view by phase-contrast mammography (PCM). Original PCM images comprised 25-μm pixels. The reduced images converted from the originals by bi-cubic interpolation were of 50-μm pixel size. Five observers independently interpreted all images, and rated their confidence concerning the presence of lesions on a continuous 0-100 scale. Receiver-operating characteristic (ROC) analysis was performed using the jackknife method and LABMRMC program. Differences in areas under the curve (AUC) values based on 95% confidence intervals were evaluated. The average AUC values for detection of masses were 0.8435 and 0.8646 for the original and reduced images, respectively. The difference between the average AUC values was not statistically significant (p=0.5855). Average AUC values for clustered MCLs detection were 0.9273 and 0.9574 for the original and reduced images, respectively. This difference was not statistically significant (p=0.1949). Detection of masses and clustered MCLs on digital mammograms was unaffected by bi-cubic interpolation image reduction.

Original language	English
Title of host publication	Medical Imaging 2013
Subtitle of host publication	Image Perception, Observer Performance, and Technology Assessment
DOIs	https://doi.org/10.1117/12.2008169
Publication status	Published - 2013
Event	SPIE Medical Imaging Symposium 2013: Image Perception, Observer Performance, and Technology Assessment - Lake Buena Vista, FL, United States Duration: 2013 Feb 10 → 2013 Feb 11

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8673
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Other

Other	SPIE Medical Imaging Symposium 2013: Image Perception, Observer Performance, and Technology Assessment
Country/Territory	United States
City	Lake Buena Vista, FL
Period	13/2/10 → 13/2/11

Keywords

Breast neoplasm
Digital mammography
Image reduction
Observer performance

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2008169

Cite this

Does image reduction affect the diagnostic accuracy of digital mammograms? / Takane, Yumi; Kawasumi, Yusuke; Horie, Tsunemitsu et al.
Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment. 2013. 867319 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8673).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takane, Y, Kawasumi, Y, Horie, T & Ishibashi, T 2013, Does image reduction affect the diagnostic accuracy of digital mammograms? in Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment., 867319, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8673, SPIE Medical Imaging Symposium 2013: Image Perception, Observer Performance, and Technology Assessment, Lake Buena Vista, FL, United States, 13/2/10. https://doi.org/10.1117/12.2008169

@inproceedings{a2ef1ca755cf4f2ea1167a592df0e0f2,

title = "Does image reduction affect the diagnostic accuracy of digital mammograms?",

abstract = "We aimed to evaluate the influence of image reduction using a bi-cubic interpolation method on the accuracy of detection of clustered microcalcifications (MCLs) and masses on digital mammograms. Digital mammograms (n=194) of 97 subjects were selected retrospectively, comprising 47 patients with clustered MCLs or masses and 52 controls. Images were acquired in the craniocaudal view by phase-contrast mammography (PCM). Original PCM images comprised 25-μm pixels. The reduced images converted from the originals by bi-cubic interpolation were of 50-μm pixel size. Five observers independently interpreted all images, and rated their confidence concerning the presence of lesions on a continuous 0-100 scale. Receiver-operating characteristic (ROC) analysis was performed using the jackknife method and LABMRMC program. Differences in areas under the curve (AUC) values based on 95% confidence intervals were evaluated. The average AUC values for detection of masses were 0.8435 and 0.8646 for the original and reduced images, respectively. The difference between the average AUC values was not statistically significant (p=0.5855). Average AUC values for clustered MCLs detection were 0.9273 and 0.9574 for the original and reduced images, respectively. This difference was not statistically significant (p=0.1949). Detection of masses and clustered MCLs on digital mammograms was unaffected by bi-cubic interpolation image reduction.",

keywords = "Breast neoplasm, Digital mammography, Image reduction, Observer performance",

author = "Yumi Takane and Yusuke Kawasumi and Tsunemitsu Horie and Tadashi Ishibashi",

year = "2013",

doi = "10.1117/12.2008169",

language = "English",

isbn = "9780819494474",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Medical Imaging 2013",

note = "SPIE Medical Imaging Symposium 2013: Image Perception, Observer Performance, and Technology Assessment ; Conference date: 10-02-2013 Through 11-02-2013",