Automated whole-breast ultrasound (AWBU) is a medical imaging technique used in radiology to obtain volumetric ultrasound data of the entire breast.
| Automated whole-breast ultrasound | |
|---|---|
| Purpose | obtains volumetric data of breast |
How it works
editSimilarly to the 3D ultrasound technique used for pregnant women, AWBU allows volumetric image data to be obtained from ultrasound sonography.
With automated whole-breast ultrasound, the ultrasound transducer is guided over the breast in an automatic manner. The position and speed of the transducer is regulated automatically, whereas the angle of incidence and the amount of pressure applied is set by the human operator. The entire breast is scanned in an automated manner, and the procedure yields volumetric image data of the breast.[1] The resulting image data can be read at any convenient time by the radiologist, who is freed from performing the scan.[2]
This allows selected scan planes to be visualized, and also allows the data to be displayed as a volumetric image.
Applications
editAWBU has been proposed as an additional cancer screening modality, in particular for women with dense breasts.[2][3][4][5][6]
Studies have consistently shown an increased detection of breast cancer by supplementary ultrasound screening, compared to mammography alone.[6]
Comparison to hand-held ultrasound
editAWBU offers advantages in terms of speed and standardization of ultrasound imaging, rendering the result largely independent of the skill of the operator. Furthermore, the position of any abnormality can be determined relative to the position of the nipple, allowing the same abnormality to be retrieved with precision in follow-up diagnostic procedures and also in biopsy interventions.[1]
However, a number of AWBU techniques employ ultrasound transducers of lower frequency than hand-held ultrasound, resulting in lower spatial and contrast resolution. A disadvantage of AWBU imaging is that it captures static tissue features and does not show the dynamic images properties that can often be seen in images obtained from hand-held ultrasound devices.[7]
Research
editThere have been preliminary investigations into the use of AWBU for performing ultrasound-guided biopsy. Also, algorithms for (semi-)automatic evaluation of the acquired image data are under development.[8]
See also
editReferences
edit- ^ a b Mahesh K. Shetty (15 March 2013). Breast and Gynecological Cancers: An Integrated Approach for Screening and Early Diagnosis in Developing Countries. Springer Science & Business Media. pp. 309–311. ISBN 978-1-4614-1876-4.
- ^ a b Kelly KM, Richwald GA (2011). "Automated whole-breast ultrasound: advancing the performance of breast cancer screening". Seminars in Ultrasound, CT and MRI (review). 32 (4): 273–80. doi:10.1053/j.sult.2011.02.004. PMID 21782117.
- ^ Marie Tartar; Christopher E. Comstock; Michael S. Kipper (2008). Breast Cancer Imaging: A Multidisciplinary, Multimodality Approach. Elsevier Health Sciences. p. 4. ISBN 978-0-323-04677-0.
- ^ S. S. Kaplan (May 2014). "Automated whole breast ultrasound". Radiologic Clinics of North America. 52 (3): 539–46. doi:10.1016/j.rcl.2014.01.002. PMID 24792655.
- ^ Denise Thigpen; Amanda Kappler; Rachel Brem (March 2018). "The Role of Ultrasound in Screening Dense Breasts – A Review of the Literature and Practical Solutions for Implementation". Diagnostics. 8 (1): 20. doi:10.3390/diagnostics8010020. PMC 5872003. PMID 29547532.
- ^ a b Matejka Rebolj; Valentina Assi; Adam Brentnall; Dharmishta Parmar; Stephen W. Duffy (June 2018). "Addition of ultrasound to mammography in the case of dense breast tissue: Systematic review and meta-analysis". British Journal of Cancer. 118 (12): 1559–1570. doi:10.1038/s41416-018-0080-3. PMC 6008336. PMID 29736009.
- ^ A. Thomas Stavros (2004). Breast Ultrasound. Lippincott Williams & Wilkins. p. 151. ISBN 978-0-397-51624-7.
- ^ Sylvia Helen Heywang-Koebrunner; Ingrid Schreer (15 January 2014). Diagnostic Breast Imaging: Mammography, Sonography, Magnetic Resonance Imaging, and Interventional Procedures. Thieme. p. 349. ISBN 978-3-13-150411-1.