Abstract
Purpose
To determine the feasibility of a prototype device combining 3D-automated breast ultrasound (ABVS) and digital breast tomosynthesis in a single device to detect and characterize breast lesions.
Methods
In this prospective feasibility study, the FUSION-X-US prototype was used to perform digital breast tomosynthesis and ABVS in 23 patients with an indication for tomosynthesis based on current guidelines after clinical examination and standard imaging. The ABVS and tomosynthesis images of the prototype were interpreted separately by two blinded experts. The study compares the detection and BI-RADS® scores of breast lesions using only the tomosynthesis and ABVS data from the FUSION-X-US prototype to the results of the complete diagnostic workup.
Results
Image acquisition and processing by the prototype was fast and accurate, with some limitations in ultrasound coverage and image quality. In the diagnostic workup, 29 solid lesions (23 benign, including three cases with microcalcifications, and six malignant lesions) were identified. Using the prototype, all malignant lesions were detected and classified as malignant or suspicious by both investigators.
Conclusion
Solid breast lesions can be localized accurately and fast by the Fusion-X-US system. Technical improvements of the ultrasound image quality and ultrasound coverage are needed to further study this new device.
Key Points
-
The prototype combines tomosynthesis and automated 3D-ultrasound (ABVS) in one device.
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It allows accurate detection of malignant lesions, directly correlating tomosynthesis and ABVS data.
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The diagnostic evaluation of the prototype-acquired data was interpreter-independent.
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The prototype provides a time-efficient and technically reliable diagnostic procedure.
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The combination of tomosynthesis and ABVS is a promising diagnostic approach.
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Abbreviations
- ABVS:
-
Automated breast volume sonography
- BI-RADS:
-
Breast Imaging-Reporting and Data System
- CC:
-
Craniocaudal
- FDA:
-
Food and Drug Administration
- HHUS:
-
Hand-held ultrasound
- HIPAA:
-
Health Information Portability and Accountability Act of 1996 (HIPAA)
- ML:
-
Mediolateral
- MLO:
-
Mediolateral-oblique
- SD:
-
Standard deviation
References
Gotzsche PC, Jorgensen KJ (2013) Screening for breast cancer with mammography. Cochrane Database Syst Rev Jun 4;:CD001877
Kerlikowske K (1997) Efficacy of screening mammography among women aged 40 to 49 years and 50 to 69 years: Comparison of relative and absolute benefit. J Natl Cancer Inst Monogr 1997:79–86
Nystrom L, Rutqvist LE, Wall S et al (1993) Breast cancer screening with mammography: Overview of Swedish randomised trials. Lancet 341:973–978
Carney PA, Miglioretti DL, Yankaskas BC et al (2003) Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med 138:168–175
Buist DSM, Porter PL, Lehman C, Taplin SH, White E (2004) Factors contributing to mammography failure in women aged 40-49 years. J Natl Cancer Inst 96:1432–1440
Kolb TM, Lichy J, Newhouse JH (1998) Occult cancer in women with dense breasts: Detection with screening US--diagnostic yield and tumor characteristics. Radiology 207:191–199
Kolb TM, Lichy J, Newhouse JH (2002) Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: An analysis of 27,825 patient evaluations. Radiology 225:165–175
Berg WA, Blume JD, Cormack JB et al (2008) Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer. JAMA 299:2151–2163
Alakhras M, Bourne R, Rickard M, Ng KH, Pietrzyk M, Brennan PC (2013) Digital tomosynthesis: A new future for breast imaging? Clinical radiology 68:e225–e236
Houssami N, Zackrisson S (2013) Digital breast tomosynthesis: The future of mammography screening or much ado about nothing? Expert Rev Med Devices 10:583–585
Skaane P (2017) Breast cancer screening with digital breast tomosynthesis. Breast cancer 24:32–41
Patterson SK, Roubidoux MA (2014) Update on new technologies in digital mammography. Int J Womens Health 6:781–788
Giger ML, Inciardi MF, Edwards A et al (2016) Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers. AJR 206:1341–1350
Halshtok-Neiman O, Shalmon A, Rundstein A, Servadio Y, Gotleib M, Sklair-Levy M (2015) Use of Automated Breast Volumetric Sonography as a Second-Look Tool for Findings in Breast Magnetic Resonance Imaging. Isr Med Assoc J 17:410–413
Golatta M, Franz D, Harcos A et al (2013) Interobserver reliability of automated breast volume scanner (ABVS) interpretation and agreement of ABVS findings with hand held breast ultrasound (HHUS), mammography and pathology results. Eur J Rad 82:e332-e336.
Golatta M, Baggs C, Schweitzer-Martin M et al (2015) Evaluation of an automated breast 3D-ultrasound system by comparing it with hand-held ultrasound (HHUS) and mammography. Arch Gynecol Obstet 291:889–895
Vourtsis A, Kachulis A (2017) The performance of 3D ABUS versus HHUS in the visualisation and BI-RADS characterisation of breast lesions in a large cohort of 1,886 women. Eur Radiol. https://doi.org/10.1007/s00330-017-5011-9
Ciatto S, Houssami N, Bernardi D et al (2013) Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): A prospective comparison study. Lancet Oncol 14:583–589
Skaane P, Bandos AI, Gullien R et al (2013) Comparison of digital mammography alone and digital mammography plus tomosynthesis in a population-based screening program. Radiology 267:47–56
Wojcinski S, Gyapong S, Farrokh A, Soergel P, Hillemanns P, Degenhardt F (2013) Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS). BMC Med Imaging 13:36
Wilczek B, Wilczek HE, Rasouliyan L, Leifland K (2016) Adding 3D automated breast ultrasound to mammography screening in women with heterogeneously and extremely dense breasts: Report from a hospital-based, high-volume, single-center breast cancer screening program. Eur J Radiol 85:1554–1563
Kapur A, Carson PL, Eberhard J et al (2004) Combination of digital mammography with semi-automated 3D breast ultrasound. Technol Cancer Res Treat 3:325–334
Padilla F, Roubidoux MA, Paramagul C et al (2013) Breast mass characterization using 3-dimensional automated ultrasound as an adjunct to digital breast tomosynthesis: a pilot study. J Ultrasound Med 32:93–104
Richter K, Winzer KJ, Frohberg HD et al (1998) Combination of mammography with automated ultrasound (Sono-X) in routine diagnosis? Zentralbl Chir 123:37–41
Sinha SP, Roubidoux MA, Helvie MA et al. (2007) IEEE Engineering in Medicine and Biology Society Annual Conference. 2007:1335–8
Wockel A, Kreienberg R (2008) First Revision of the German S3 Guideline 'Diagnosis, Therapy, and Follow-Up of Breast Cancer'. Breast Care (Basel) 3:82–86
Sickles EA, D’Orsi CJ, Bassett LW, et al (2013) ACR BI-RADS mammography. In: D’Orsi CJ, Sickles EA, Mendelson EB, Morris EA, (ed) Breast Imaging Reporting and Data System: ACR BI-RADS—breast imaging atlas. 5th edn. Reston, VA. J Am Coll Radiol 272(2):309–315
Funding
This study has received funding by Siemens Health Care GmbH.
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Guarantor
The scientific guarantor of this publication is PD Dr. Michael Golatta.
Conflict of interest
The prototype was provided by Siemens Healthcare GmbH. M. Radicke was the contact person for technical lead. Siemens did not have any influence on the results or evaluation of the study.
M. Golatta received payment for lectures from Siemens Ultrasound. R. Barr has equipment grants from Siemens ultrasound, Philips Ultrasound, B and K Ultrasound, and Hitachi-Aloka. He is on the speakers bureau for Philips Ultrasound and Bracoo Diagnostics. He is on the advisory panels of Bracco Diagnostics and Lantheus Medical. He receives royalties from Thieme Publishers.
Statistics and biometry
Prof. Geraldine Rauch kindly provided statistical advice for this manuscript, she has significant statistical expertise.
No complex statistical methods were necessary for this paper.
Informed consent
Written informed consent was obtained from all subjects (patients) in this study.
Ethical approval
Institutional Review Board approval was obtained.
Methodology
• prospective
• diagnostic
• performed at one institution
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Schaefgen, B., Heil, J., Barr, R.G. et al. Initial results of the FUSION-X-US prototype combining 3D automated breast ultrasound and digital breast tomosynthesis. Eur Radiol 28, 2499–2506 (2018). https://doi.org/10.1007/s00330-017-5235-8
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DOI: https://doi.org/10.1007/s00330-017-5235-8