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Potential Use of American College of Radiology BI-RADS Mammography Atlas for Reporting and Assessing Lesions Detected on Dedicated Breast CT Imaging: Preliminary Study.

Publication ,  Journal Article
Jung, HK; Kuzmiak, CM; Kim, KW; Choi, NM; Kim, HJ; Langman, EL; Yoon, S; Steen, D; Zeng, D; Gao, F
Published in: Acad Radiol
November 2017

RATIONALE AND OBJECTIVES: Dedicated breast computed tomography (DBCT) is an emerging and promising modality for breast lesions. The objective of this study was to evaluate the potential use of applying the BI-RADS Mammography Atlas 5th Edition for reporting and assessing breast lesions on DBCT. Currently, no atlas exists for DBCT. MATERIALS AND METHODS: Four radiologists trained in breast imaging were recruited in this institutional review board-approved, Health Insurance Portability and Accountability Act-compliant study. The enrolled radiologists, who were blinded to mammographic and histopathologic findings, individually reviewed 30 randomized DBCT cases that contained marked lesions. Thirty-four lesions were included in this study: 24 (70.6%) masses, 7 (20.6%) calcifications, and 3 (8.8%) architectural distortions. Eight (23.5%) lesions were malignant and 26 (76.5%) were benign. The reader was asked to specify according to the BI-RADS Mammography Atlas for each marked DBCT lesion: primary findings, features, breast density, and final assessment. We calculated readers' diagnostic performances for differentiating between benign and malignant lesions and interobserver variability for reporting and assessing lesions using a generalized estimating equation and the Fleiss kappa (κ) statistic. RESULTS: The estimated overall sensitivity of the readers was 0.969, and the specificity was 0.529. There were no significant differences in the sensitivity and the specificity between lesion types. For reporting the presence of a primary finding, the overall substantial agreement (κ = 0.70) was seen. In assigning the breast density and the final assessment, the overall agreement was moderate (κ = 0.53) and fair (κ = 0.30). CONCLUSION: The use of the BI-RADS Mammography Atlas 5th Edition for DBCT showed high performance and good agreement among readers.

Duke Scholars

Published In

Acad Radiol

DOI

EISSN

1878-4046

Publication Date

November 2017

Volume

24

Issue

11

Start / End Page

1395 / 1401

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Single-Blind Method
  • Sensitivity and Specificity
  • Observer Variation
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Mammography
  • Humans
  • Female
  • Calcinosis
 

Citation

APA
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MLA
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Jung, H. K., Kuzmiak, C. M., Kim, K. W., Choi, N. M., Kim, H. J., Langman, E. L., … Gao, F. (2017). Potential Use of American College of Radiology BI-RADS Mammography Atlas for Reporting and Assessing Lesions Detected on Dedicated Breast CT Imaging: Preliminary Study. Acad Radiol, 24(11), 1395–1401. https://doi.org/10.1016/j.acra.2017.06.003
Jung, Hae Kyoung, Cherie M. Kuzmiak, Keum Won Kim, Na Mi Choi, Hye Jeong Kim, Eun Lee Langman, Sora Yoon, Doreen Steen, Donglin Zeng, and Fei Gao. “Potential Use of American College of Radiology BI-RADS Mammography Atlas for Reporting and Assessing Lesions Detected on Dedicated Breast CT Imaging: Preliminary Study.Acad Radiol 24, no. 11 (November 2017): 1395–1401. https://doi.org/10.1016/j.acra.2017.06.003.
Jung, Hae Kyoung, et al. “Potential Use of American College of Radiology BI-RADS Mammography Atlas for Reporting and Assessing Lesions Detected on Dedicated Breast CT Imaging: Preliminary Study.Acad Radiol, vol. 24, no. 11, Nov. 2017, pp. 1395–401. Pubmed, doi:10.1016/j.acra.2017.06.003.
Jung HK, Kuzmiak CM, Kim KW, Choi NM, Kim HJ, Langman EL, Yoon S, Steen D, Zeng D, Gao F. Potential Use of American College of Radiology BI-RADS Mammography Atlas for Reporting and Assessing Lesions Detected on Dedicated Breast CT Imaging: Preliminary Study. Acad Radiol. 2017 Nov;24(11):1395–1401.
Journal cover image

Published In

Acad Radiol

DOI

EISSN

1878-4046

Publication Date

November 2017

Volume

24

Issue

11

Start / End Page

1395 / 1401

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Single-Blind Method
  • Sensitivity and Specificity
  • Observer Variation
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Mammography
  • Humans
  • Female
  • Calcinosis