Quantitative evaluation of breast density using a dual‐energy technique on a digital breast tomosynthesis system. Issue 6 (20th May 2019)

• Record Type: Journal Article
• Authors: Lu, Kun‐Mu; Yeh, Da‐Ming; Cao, Bi‐Hui; Lin, Chia‐Yi; Liang, Chih‐Yu; Zhou, Yu‐Bo; Tsai, Chia‐Jung
• Is Part Of: Journal of applied clinical medical physics. Volume 20:Issue 6(2019)
• Page Start: 170
• Page End: 177
• Publication Date: 2019-05-20
• Subjects: breast cancer -- breast density -- digital breast tomosynthesis -- dual‐energy; Medical physics -- Periodicals; Clinical medicine -- Periodicals; Health Physics; Clinical Medicine; Electronic journals; Periodicals; Periodicals; Fulltext; Internet Resources; 610.153
• DOI: 10.1002/acm2.12618
• Languages: English
• ISSNs: 1526-9914

Abstract

Abstract: Purpose: Although breast density is considered a strong risk factor of breast cancer, its quantitative assessment is difficult. To investigate a quantitative method of measuring breast density using dual‐energy mammographic imaging with central digital breast tomosynthesis in physically uniform and nonuniform phantoms. Material and methods: The dual‐energy imaging unit used a tungsten anode and silver filter with 30 kVp for high‐energy images and 20 kVp for low‐energy images. Uniform glandular‐equivalent phantoms were used to calibrate a dual‐energy based decomposition algorithm. The first study used uniform breast phantoms which ranged in thicknesses from 20 to 70 mm, in 10‐mm increments, and which provided 30%, 50%, and 70% of breast density. The second study used uniform phantoms ranging from 10% to 90% of breast density. The third study used non‐uniform phantoms (at an average density of 50%) with a thickness which ranged from 20 to 90 mm, in 10‐mm increments. Results: The root mean square error of breast density measurements was 2.64–3.34% for the uniform, variable thickness phantoms, 4.17% for the uniform, variable density phantoms, and 4.49% for the nonuniform, variable thickness phantoms. Conclusion: The dual‐energy technique could be used to measure breast density with a margin of error of < 10% using digital breast tomosynthesis.