ClariSIGMAM
The ClariSIGMAM is an innovative breast cancer prediction marker. It is a breast density assessment solution that provides accurate and consistent density estimates from standard digital mammograms. Quantitative breast density is the main indicator in breast cancer screening and diagnosis. The powerful pre-trained deep learning model ensures to make consistent clinical decision marking in an objective and convenient way. Novel Deep Learning Technology provides a fully automated quantification for breast and mammary area and proportion density measurements. ClariSIGMAM is convenient with a smart workflow at an affordable cost.
Breast Density Facts
- More than 45% of mammography age women have dense breasts1.
- Mammography, is less than 60% sensitive in dense breasts2.
- Risk of developing breast cancer is 4-6 times greater in extremely dense breasts than fatty breasts3.
- Cancer recurrence is more likely in women with dense breasts4.
- Radiologists overestimate breast density 7-37%5.
[1] Diagnostic Performance of Digital versus Film mammography for Breast-Cancer Screening, Pisano ED., et al, NEJM, 353;17, October 27, 2005
[2] Individual and Combined Effects of Age, Breast Density, and Hormone Replacement Therapy Use on the Accuracy of Screening Mammography Ann Intern Med. 2003;138(3):168-175
[3] Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. McCormack, Valerie A. and dos Santos Silva, Isabel, 6, Jun 2006, Cancer Epidemial Biomarkers Prev, Vol. 15, pp. 1157-1169
[4] Mammographic density as a predictor of breast cancer outcome. Gertraud Maskarinec, MD, PhD, Christy G. Woolcott, PhD, and Laurence N. Kolonel, MD, PhD, Future Oncol, 2010 Mar; 6(3): 351–354
[5] Mammographic density measured with quantitative computer-aided method: comparison with radiologists’ estimates and BI-RADS categories. Katherine E. Martin, et al, 2006 Sep;240(3):656-65. doi: 10.1148/radiol.2402041947. Epub 2006 Jul 20.
ClariSIGMAM Benefits
Compliant with DICOM
Compatible with multi-vendor FFDM scanners
Convenience
Simplifies compliance with breast density notification laws
Helps Predict the Risk
Unique color overlaid report allows easy verification of AI-predicted tissue types
Precision Analysis of Breast Tissue Composition
- Precisely analyzes fat and glandular tissue composition in mammography with deep learning technology.
- Confirmed reliability in published papers
Collaboration Between AI and Expert Reader
- Deep learning presents its confidence with color overlay on mammogram
- Readers accept or adjust the density recommendation intuitively and conveniently
- Unique color overlaid report allows easy verification of AI-predicted tissue types
Novel Deep Learning Technology Provides
- Fully automated quantification
- Breast Area/Glandular Area/Percent Density
Product Integration and User Convenience
- Fully compliant with DICOM: Compatible with all digital mammography and PACS systems. Fully automated operation requires no separate operator
- Simple Installation and fast operation via GPU computer
- Compatible with multi-vendor FFDM scanners
- Simplifies compliance with breast density notification laws
- Convenient & smart workflow
How It Works
Fully compliant with DICOM standards, ClariSIGMAM allows easy and seamless integration with digital mammography and PACS systems.
We are looking for Hospitals/Clinics, Radiologists, PACS Companies, Manufacturers, and Dealers for New or Used Medical Equipment
