safe, noninvasive breast imaging

The QTscan® is a non-invasive breast imaging tool, FDA cleared as an adjunct to mammography. At this time, it is not intended as a replacement for screening mammography. Transmission ultrasound together with reflection ultrasound provide highly complementary and synergistic information about breast tissue, which may enable healthcare providers to better assess breast health.

The dense breast challenge

Conventional breast imaging modalities, such as mammography, face tremendous challenges when imaging dense breast tissue, which puts women with dense breasts – nearly half the population – at an immediate disadvantage. This is because cancer can appear similar to regular breast tissue and if there is a lot of breast tissue (such as in the case of dense breasts), the cancer can ‘hide’. Our QT technology has the ability to image through dense breasts, and our ongoing clinical trials aim to confirm how the QTscan can effectively detect suspicious regions. Our case studies show MRI-quality images with no injections.


3D Mammography with Tomosynthesis

Handheld Ultrasound

Breast MRI


Case study of single subject with suspicious mass as viewed across multiple imaging modalities.

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Handheld Ultrasound

Breast MRI


Case study of Invasive Lobular Carcinoma as viewed across multiple imaging modalities.

Quantitative Breast Density (QBD®)

Breast density is one of the most important predictors of breast cancer risk and mammography has been the only way to identify dense breasts – until now.  QBD is the innovative new technology that promises to accurately measure breast density, with no radiation or compression.

QT’s ability to safely and accurately quantify breast density has the potential to inform individual risk assessment and the potential efficacy of treatment, without the need for injections or the high financial cost.

Scatterplot of QBD values versus VolparaDensity score. Note the high correlation between the two variables – Spearman correlation coefficient of 0.93

Read the published article

Steps in the quantitative breast density algorithm: Top row, speed of sound images. Middle row, breast separated from the water bath with skin and fibroglandular tissue segmented from the total breast tissue volume. Bottom row, remaining fibroglandular tissue following the segmentation and removal of skin.

Read the published findings

True 3D Volumetric Accuracy

QT Ultrasound can measure and follow masses in the breast with high accuracy and precision. Our technology generates 3D speed-of-sound maps that can identify tissue types and measure lesion volumes. Since tumor volume doubling time is associated with growth rate and tumor biology, accurate measurement of tumor volume is critical for oncologic diagnosis, staging, and treatment, including quantification of neoadjuvant response.

Bland-Altman plots showing absolute agreement between volume of mass assessed using (left) ground truth and QT, (middle) ground truth and HHUS-spherical method, and (right) ground truth and HHUS-ellipsoid method. The spherical and ellipsoid methods corresponding to volume calculation formulas.

Read the Abstract published by RSNA

AI-enabled diagnosis platform

QT Ultrasound may soon offer the first artificial intelligence-enabled algorithm in transmission ultrasound to aid in the diagnosis of cancer. AI-based algorithms have gained tremendous acceptance throughout medical imaging and we now hope to provide radiologists with a tool that can increase specificity. AI tools with the QTviewer® can enable features analysis to categorize findings as either benign or malignant. Our goal is to markedly reduce false positives and unnecessary biopsies.

Read the RSNA abstract

Breast imaging matters

50% of women have dense breasts, placing them at increased risk of breast cancer.*

This year, more than 250,000 U.S. women will be diagnosed with breast cancer.* Early detection relies on clear, accurate imaging.

Follow-up imaging does not mean a woman has cancer. Fewer than 1 in 10 women that get called back for more tests are found to have cancer.*