3D Breast Ultrasound with AI- QV CAD

Invenia's Automated 3D Breast Ultrasound (ABUS 2.0) with Qview CAD technology is designed to improve the detection of breast cancer in women with dense breast tissue, which can be difficult to detect with traditional mammography.

The ABUS 2.0 system uses a specialized 15cm reverse curved transducer that is shaped to fit the contours of the breast. The transducer is placed on the breast and uses high-frequency sound waves to generate images of the breast tissue. The transducer is then moved across the breast in a systematic pattern to ensure that all areas are imaged.

The ABUS system is designed to be automated, which means that the images are generated quickly and consistently. The images are reconstructed into multiple planes by GE Invenia's  specialized software technology  to provide the radiologist with a complete 3D anatomical picture of the breast tissue. The images are further analyzed by Invenia's proprietary software and QView CAD, a computer-aided detection software developed by Hologic, Inc. which uses artificial intelligence algorithms to identify potential areas of concern, which provides additional support to radiologists. The software can also help the radiologist to compare current images with prior exams, to identify any changes that may have occurred.

QView CAD has been shown to increase the sensitivity of breast cancer detection when used in conjunction with Invenia ABUS 2.0. In clinical trials, QView CAD has been found to detect up to 35.7% more cancers than ABUS alone.

Overall, the combination of Invenia ABUS 2.0 and QView CAD provides a powerful breast imaging solution that can help improve the detection of brea

st cancer in women with dense breast tissue, ultimately leading to better outcomes for patients.

Here are a few publications on this 3D breast Ultrasound

Vourtsis A. Three-dimensional automated breast ultrasound: Technical aspects and first results. Diagn Interv Imaging. 2019 Oct;100(10):579-592. doi: 10.1016/j.diii.2019.03.012. Epub 2019 Apr 5. PMID: 30962169.
 

 Giger ML, Inciardi MF, Edwards A, Papaioannou J, Drukker K, Jiang Y, Brem R, Brown JB. Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers. AJR Am J Roentgenol. 2016 Jun;206(6):1341-50. doi: 10.2214/AJR.15.15367. Epub 2016 Apr 4. PMID: 27043979.

Hatzipanagiotou, Maria & Hetterich, Madeleine & Ripoll, B & Gerthofer, V & Ortmann, O & Seitz, Stephan. (2020). ABUS as an alternative to hand held ultrasound for response control in neoadjuvant breast cancer treatment. Geburtshilfe und Frauenheilkunde. 80. 10.1055/s-0040-1717853.

Vourtsis, A., Kachulis, A. 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 28, 592–601 (2018). https://doi.org/10.1007/s00330-017-5011-9

Depretto C, Liguori A, Primolevo A, Di Cosimo S, Cartia F, Ferranti C, Scaperrotta GP. Automated breast ultrasound compared to hand-held ultrasound in surveillance after breast-conserving surgery. Tumori. 2021 Apr;107(2):132-138. doi: 10.1177/0300891620930278. Epub 2020 Jun 18. PMID: 32552398.
 

Schiaffino, S., Gristina, L., Tosto, S. et al. The value of coronal view as a stand-alone assessment in women undergoing automated breast ultrasound. Radiol med 126, 206–213 (2021). https://doi.org/10.1007/s11547-020-01250-7
 

Łuczyńska E, Pawlak M, Popiela T, Rudnicki W. The Role of ABUS in The Diagnosis of Breast Cancer. J Ultrason. 2022 Apr 27;22(89):76-85. doi: 10.15557/JoU.2022.0014. PMID: 35811591; PMCID: PMC9231518.