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Breast percent density : Estimation on digital mammograms and central tomosynthesis projections

Bakic, Predrag R. LU ; Carton, Ann Katherine ; Kontos, Despina ; Zhang, Cuiping ; Troxel, Andrea B. and Maidment, Andrew D.A. (2009) In Radiology 252(1). p.40-49
Abstract

Purpose: To evaluate inter- and intrareader agreement in breast percent density (PD) estimation on clinical digital mammograms and central digital breast tomosynthesis (DBT) projection images. Materials and Methods: This HIPAA-compliant study had institutional review board approval; all patients provided informed consent. Breast PD estimation was performed on the basis of anonymized digital mammograms and central DBT projections in 39 women (mean age, 51 years; range, 31-80 years). All women had recently detected abnormalities or biopsyproved cancers. PD was estimated by three experienced readers on the mediolateral oblique views of the contralateral breasts by using software; each reader repeated the estimation after 2 months. Spearman... (More)

Purpose: To evaluate inter- and intrareader agreement in breast percent density (PD) estimation on clinical digital mammograms and central digital breast tomosynthesis (DBT) projection images. Materials and Methods: This HIPAA-compliant study had institutional review board approval; all patients provided informed consent. Breast PD estimation was performed on the basis of anonymized digital mammograms and central DBT projections in 39 women (mean age, 51 years; range, 31-80 years). All women had recently detected abnormalities or biopsyproved cancers. PD was estimated by three experienced readers on the mediolateral oblique views of the contralateral breasts by using software; each reader repeated the estimation after 2 months. Spearman correlations of interand intrareader and intermodality PD estimates, as well as κ statistics between categoric PD estimates, were computed. Results: High correlation (ρ = 0.91) was observed between PD estimates on digital mammograms and those on central DBT projections, averaged over all estimations; the corresponding κ coefficient (0.79) indicated substantial agreement. Mean interreader agreement for PD estimation on central DBT projections (ρ = 0.85 ± 0.05 [standard deviation]) was significantly higher (P < .01) than that for PD estimation on digital mammograms (ρ = 0.75 ± 0.05); the corresponding κ coefficients indicated substantial (κ = 0.65 ± 0.12) and moderate (κ = 0.55 ± 0.14) agreement for central DBT projections and digital mammograms, respectively. Conclusion: High correlation between PD estimates on digital mammograms and those on central DBT projections suggests the latter could be used until a method for PD estimation based on three-dimensional reconstructed images is introduced. Moreover, clinical PD estimation is possible with reduced radiation dose, as each DBT projection was acquired by using about 22% of the dose for a single mammographic projection.

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author
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publishing date
type
Contribution to journal
publication status
published
subject
in
Radiology
volume
252
issue
1
pages
10 pages
publisher
Radiological Society of North America
external identifiers
  • pmid:19420321
  • scopus:67650097301
ISSN
0033-8419
DOI
10.1148/radiol.2521081621
language
English
LU publication?
no
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0e9e8ab5-a349-4858-aae4-2444348e6d7d
date added to LUP
2020-11-07 13:17:35
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2024-05-15 21:55:00
@article{0e9e8ab5-a349-4858-aae4-2444348e6d7d,
  abstract     = {{<p>Purpose: To evaluate inter- and intrareader agreement in breast percent density (PD) estimation on clinical digital mammograms and central digital breast tomosynthesis (DBT) projection images. Materials and Methods: This HIPAA-compliant study had institutional review board approval; all patients provided informed consent. Breast PD estimation was performed on the basis of anonymized digital mammograms and central DBT projections in 39 women (mean age, 51 years; range, 31-80 years). All women had recently detected abnormalities or biopsyproved cancers. PD was estimated by three experienced readers on the mediolateral oblique views of the contralateral breasts by using software; each reader repeated the estimation after 2 months. Spearman correlations of interand intrareader and intermodality PD estimates, as well as κ statistics between categoric PD estimates, were computed. Results: High correlation (ρ = 0.91) was observed between PD estimates on digital mammograms and those on central DBT projections, averaged over all estimations; the corresponding κ coefficient (0.79) indicated substantial agreement. Mean interreader agreement for PD estimation on central DBT projections (ρ = 0.85 ± 0.05 [standard deviation]) was significantly higher (P &lt; .01) than that for PD estimation on digital mammograms (ρ = 0.75 ± 0.05); the corresponding κ coefficients indicated substantial (κ = 0.65 ± 0.12) and moderate (κ = 0.55 ± 0.14) agreement for central DBT projections and digital mammograms, respectively. Conclusion: High correlation between PD estimates on digital mammograms and those on central DBT projections suggests the latter could be used until a method for PD estimation based on three-dimensional reconstructed images is introduced. Moreover, clinical PD estimation is possible with reduced radiation dose, as each DBT projection was acquired by using about 22% of the dose for a single mammographic projection.</p>}},
  author       = {{Bakic, Predrag R. and Carton, Ann Katherine and Kontos, Despina and Zhang, Cuiping and Troxel, Andrea B. and Maidment, Andrew D.A.}},
  issn         = {{0033-8419}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{40--49}},
  publisher    = {{Radiological Society of North America}},
  series       = {{Radiology}},
  title        = {{Breast percent density : Estimation on digital mammograms and central tomosynthesis projections}},
  url          = {{http://dx.doi.org/10.1148/radiol.2521081621}},
  doi          = {{10.1148/radiol.2521081621}},
  volume       = {{252}},
  year         = {{2009}},
}