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Yeda R&D Co. Ltd
Abstract ID: 1530
The two leading methods for screening and detect breast cancer are currently high-quality X-ray mammography and the breast ultrasound. The sensitivity of mammography has been estimated to be...
The two leading methods for screening and detect breast cancer are currently high-quality X-ray mammography and the breast ultrasound. The sensitivity of mammography has been estimated to be 63-88% and is lower by 10% or more for women aged 40-49 years and for women using hormonal replacement therapy (HRT). However, X-ray mammography uses ionizing radiation. Ultrasound has no hazard radiation exposure but, it is used as an additional method to the mammography and not for the routine breast cancer screening as it does not consistently detect certain early signs of the cancer. None of the above methods has succeeded in tracking the entire ductal system of the breast in vivo. The ability to measure water self diffusion by MRI and to track anisotropic water movement has been known for decades and it was successfully applied for tracking fibres in the brain, as well as helping diagnose a range of brain abnormalities.
The principal object of the present invention is to provide a novel method for tracking the ductal trees in the entire breast in vivo, by measuring the water diffusion characteristics of the breast fibroglandular tissue and of the breast lesions as well to map the datasets in a unique and novel way.
The main purpose of the invention is to provide a method for imaging a human breast. The functional breast tissue is composed of many lobes, which are highly variable in their size and shape. Each lobe has one central duct with its peripheral branches forming a ductal tree and their associated glandular tissues. Currently, no imaging method has succeeded in tracking the full ductal system in-vivo. The water movement inside the ductal trees is anisotropic, meaning that water diffuses faster along the direction of the ducts than in the orthogonal directions. The method of the present invention, tracks anisotropic movement in the fibroglandular breast tissue using 3-dimensional diffusion tensor MRI, and thereby provides a means for mapping the ductal trees in the entire breast in-vivo. Any cancer growth in the ducts is modifying this anisotropic water diffusion causing changes in both the diffusion direction and diffusion coefficient in each direction. This can be detected by this novel method, making possible to identify malignant growth in the ducts at its early stages. It can be adapted to any MRI scanner (field 1.5T and higher) with a dedicated breast coil.
A method has been developed for the detection of breast tumours using MRI without contrast agents.
Please enquire quoting reference no. 1530 regarding licensing or codevelopment partnerships.
Last Updated May 2015