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Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.

Publication ,  Journal Article
Ruschin, M; Timberg, P; Båth, M; Hemdal, B; Svahn, T; Saunders, RS; Samei, E; Andersson, I; Mattsson, S; Chakrabort, DP; Tingber, A
Published in: Med Phys
February 2007

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 (JA-FROC) 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 < 0.0001). 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.

Duke Scholars

Published In

Med Phys

DOI

ISSN

0094-2405

Publication Date

February 2007

Volume

34

Issue

2

Start / End Page

400 / 407

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Radiographic Image Enhancement
  • Radiation Dosage
  • Precancerous Conditions
  • Observer Variation
  • Nuclear Medicine & Medical Imaging
  • Mammography
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
 

Citation

APA
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ICMJE
MLA
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Ruschin, M., Timberg, P., Båth, M., Hemdal, B., Svahn, T., Saunders, R. S., … Tingber, A. (2007). Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies. Med Phys, 34(2), 400–407. https://doi.org/10.1118/1.2405324
Ruschin, Mark, Pontus Timberg, Magnus Båth, Bengt Hemdal, Tony Svahn, Rob S. Saunders, Ehsan Samei, et al. “Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.Med Phys 34, no. 2 (February 2007): 400–407. https://doi.org/10.1118/1.2405324.
Ruschin M, Timberg P, Båth M, Hemdal B, Svahn T, Saunders RS, et al. Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies. Med Phys. 2007 Feb;34(2):400–7.
Ruschin, Mark, et al. “Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.Med Phys, vol. 34, no. 2, Feb. 2007, pp. 400–07. Pubmed, doi:10.1118/1.2405324.
Ruschin M, Timberg P, Båth M, Hemdal B, Svahn T, Saunders RS, Samei E, Andersson I, Mattsson S, Chakrabort DP, Tingber A. Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies. Med Phys. 2007 Feb;34(2):400–407.

Published In

Med Phys

DOI

ISSN

0094-2405

Publication Date

February 2007

Volume

34

Issue

2

Start / End Page

400 / 407

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Radiographic Image Enhancement
  • Radiation Dosage
  • Precancerous Conditions
  • Observer Variation
  • Nuclear Medicine & Medical Imaging
  • Mammography
  • Image Interpretation, Computer-Assisted
  • Image Enhancement