The Power of Mapping
Why precise breast tissue mapping is important:
- Time is critical in dealing with breast cancer. Tumor identification and pinpointing its exact location can dramatically improve the efficacy of medical treatment, and potentially save the patient’s life.
The 5-year survival rate for a breast cancer diagnosis, when detected in a lesion that is less than 10 millimeters, is 93% but it falls to 71% if cancer is detected in a 30 to 39-millimeter lesion (1).
- The tens of millions of hand held breast ultrasound exams performed each year globally detect millions of small lesions, of which many are small cancers. Hand held breast ultrasound has limited mapping precision and efficiency due to operator’s dependency and breast deformation, which lower breast cancer detection, diagnostic precision and exam efficiency.
Around half of cancers less than 1 cm can be missed, likely due to the substandard ultrasound imaging quality(7,8). In addition, almost 40% of small lesions, which could represent small cancers may not be found at follow up (9). Of the millions of lesions detected in mammograms and MRI, only 50-60% of MRI lesions are found with subsequent ultrasound exams (5) and only approximately 46% of detectable ultrasound lesions are found and correctly matched with mammograms(6), which leads to unnecessary biopsies and other tests or procedures. The national expenditure for false-positive mammograms and breast cancer over-diagnoses is estimated at $4 billion a year (4).
- Automated, accurate and precise mapping of hand held breast ultrasound can address the existing limitations and enable standardized, high quality exams with the precise localization of lesions, to avoid missing small cancers. It also supports the correlation of multiple images for more precise, faster breast cancer detection and diagnosis, as multi-modality, risk based, breast cancer screening is becoming the standard of care.
- Existing automated breast ultrasound systems do not offer real time breast mapping with hand held probes. Unlike hand held exams, the large amount of images, generated by existing automated systems, burdens the interpreting radiologists without providing superior results.
1.CANCER: Volume 104: Number 6-- September 2005.
2.Radiology: Volume 269: Number 3—December 2013.
3.Radiology: Volume 241: Number 2—November 2006.
4.Health Affairs April 2015 vol. 34 no. 4576-583
5.AJR:194, February 2010
6.Radiology, vol.181, 1991.
7.Radiology, Volume 272, number 1-July 2014
8.Radiology: volume 241: Number 2—November 2006
9.Radiology: Volume 269: Number 3—December 2013