Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.
(2007) In Medical Physics 34(2). p.400-407- Abstract
- The purpose of this study was to evaluate the effect of dose reduction in digital mammography on the detection of two lesion types-malignant masses and clusters of microcalcifications. Two free-response observer studies were performed-one for each lesion type. Ninety screening images were retrospectively selected; each image was originally acquired under automatic exposure conditions, corresponding to an average glandular dose of 1.3 mGy for a standard breast (50 mm compressed breast thickness with 50% glandularity). For each study, one to three simulated lesions were added to each of 40 images (abnormals) while 50 were kept without lesions (normals). Two levels of simulated system noise were added to the images yielding two new image... (More)
- The purpose of this study was to evaluate the effect of dose reduction in digital mammography on the detection of two lesion types-malignant masses and clusters of microcalcifications. Two free-response observer studies were performed-one for each lesion type. Ninety screening images were retrospectively selected; each image was originally acquired under automatic exposure conditions, corresponding to an average glandular dose of 1.3 mGy for a standard breast (50 mm compressed breast thickness with 50% glandularity). For each study, one to three simulated lesions were added to each of 40 images (abnormals) while 50 were kept without lesions (normals). Two levels of simulated system noise were added to the images yielding two new image sets, corresponding to simulated dose levels of 50% and 30% of the original images (100%). The manufacturer's standard display processing was subsequently applied to all images. Four radiologists experienced in mammography evaluated the images by searching for lesions and marking and assigning confidence levels to suspicious regions. The search data were analyzed using jackknife free-response (JAFROC) methodology. For the detection of masses, the mean figure-of-merit (FOM) averaged over all readers was 0.74, 0.71, and 0.68 corresponding to dose levels of 100%, 50%, and 30%, respectively. These values were not statistically different from each other (F = 1.67, p = 0.19) but showed a decreasing trend. In contrast, in the microcalcification study the mean FOM was 0.93, 0.67, and 0.38 for the same dose levels and these values were all significantly different from each other (F = 109.84, p < 0.000 1). The results indicate that lowering the present dose level by a factor of two compromised the detection of microcalcifications but had a weaker effect on mass detection. (Less)
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https://lup.lub.lu.se/record/166203
- author
- organization
- publishing date
- 2007
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- observer performance, free response, dose reduction, Digital mammography
- in
- Medical Physics
- volume
- 34
- issue
- 2
- pages
- 400 - 407
- publisher
- American Association of Physicists in Medicine
- external identifiers
-
- wos:000244424200004
- scopus:33846592291
- pmid:17388156
- ISSN
- 0094-2405
- DOI
- 10.1118/1.2405324
- language
- English
- LU publication?
- yes
- id
- 0347e883-c8d0-4dbf-a5e9-d66973ea49a7 (old id 166203)
- alternative location
- http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pubmed&pubmedid=17388156
- date added to LUP
- 2016-04-01 15:36:46
- date last changed
- 2024-02-26 03:29:41
@article{0347e883-c8d0-4dbf-a5e9-d66973ea49a7,
abstract = {{The purpose of this study was to evaluate the effect of dose reduction in digital mammography on the detection of two lesion types-malignant masses and clusters of microcalcifications. Two free-response observer studies were performed-one for each lesion type. Ninety screening images were retrospectively selected; each image was originally acquired under automatic exposure conditions, corresponding to an average glandular dose of 1.3 mGy for a standard breast (50 mm compressed breast thickness with 50% glandularity). For each study, one to three simulated lesions were added to each of 40 images (abnormals) while 50 were kept without lesions (normals). Two levels of simulated system noise were added to the images yielding two new image sets, corresponding to simulated dose levels of 50% and 30% of the original images (100%). The manufacturer's standard display processing was subsequently applied to all images. Four radiologists experienced in mammography evaluated the images by searching for lesions and marking and assigning confidence levels to suspicious regions. The search data were analyzed using jackknife free-response (JAFROC) methodology. For the detection of masses, the mean figure-of-merit (FOM) averaged over all readers was 0.74, 0.71, and 0.68 corresponding to dose levels of 100%, 50%, and 30%, respectively. These values were not statistically different from each other (F = 1.67, p = 0.19) but showed a decreasing trend. In contrast, in the microcalcification study the mean FOM was 0.93, 0.67, and 0.38 for the same dose levels and these values were all significantly different from each other (F = 109.84, p < 0.000 1). The results indicate that lowering the present dose level by a factor of two compromised the detection of microcalcifications but had a weaker effect on mass detection.}},
author = {{Ruschin, Mark and Timberg, Pontus and Bath, Magnus and Hemdal, Bengt and Svahn, Tony and Saunders, Rob S and Samei, Ehsan and Andersson, Ingvar and Mattsson, Sören and Chakrabort, Dev P and Tingberg, Anders}},
issn = {{0094-2405}},
keywords = {{observer performance; free response; dose reduction; Digital mammography}},
language = {{eng}},
number = {{2}},
pages = {{400--407}},
publisher = {{American Association of Physicists in Medicine}},
series = {{Medical Physics}},
title = {{Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.}},
url = {{http://dx.doi.org/10.1118/1.2405324}},
doi = {{10.1118/1.2405324}},
volume = {{34}},
year = {{2007}},
}