Microwave breast radiometry
RTM diagnostics (microwave radiometry) is a highly sensitive non-invasive diagnostic method for assessing the functional status of breast tissue and is of great importance in early-stage cancer diagnosis. The identification of tumor cells on the basis of functional changes taking place within the mutated cells incorporates radiometry into highly specialized diagnostic methods.
The method is based on measuring the natural electromagnetic radiation of breast tissue in the microwave region, at a depth of 2 – 7 cm, and the infrared spectrum of the radiation (skin temperature).
There is no other method to identify cancer at an early stage! A starting tumor (until its dimensions exceed a few millimeters) does not bother the pain and is virtually impossible to diagnose. X-ray, ultrasound, MRI and CT are small tumors not captured. This diagnosis can only reveal a “mature”, large tumor, when treatment is, at best, very complex and expensive, and in the worst case cannot be helped.
RTM allows the determination of thermal changes in the initial stages when the tumor has not yet reached a size of several millimeters. It is known that any tumor (these are very rapidly dividing cells and dividing is an energy-intensive process) produces a lot of heat. For this reason, the tumor has a higher temperature than the surrounding tissues.
RTM is used to identify precanceroses (risk of malignancies), malignant and fibrous changes in the breast, inflammatory diseases (breast mastitis), and best yet to identify rapidly growing tumors. Given its total harmlessness and the possibility of any quantification of examinations, it has an irreplaceable role in assessing the course of treatment, control of the action of drugs and procedures.
Properties of temperature processes in the breast
It is known that tissues, like any heated body / television, radio, mobile, PC /, emit electromagnetic waves over a wide frequency range. In addition, the intensity of radiation is directly proportional to the temperature of the tissues. By displaying temperature changes, we can get more information about the internal state of tissues and skin.
Internal temperature – an indicator of angiogenesis
In 2003, Japanese researchers showed that in the pre-malignant cell growth and proliferation phase, along with atypical changes, there was an increase in the density (density) of the microcapillary network, a major parameter characterizing angiogenesis and, as a result, tissue temperature at the site lesions. Patients with these changes are at high risk of developing cancer. Many scientists classify the changes in the internal temperature of tissues as precancerous changes (changes preceded by tumor growth). Therefore, the internal temperature of breast tissue, as a measure of angiogenesis, provides important information about cancer development.
Recommendations to use RTM diagnostics together with native mammography
There are cases where a tumor was detected six months later during a screening examination that showed that the patient had no cancer. The proportion of these cases is 10 to 15% of all diagnosed tumors.
Use of native mammography and microwave mammography (RTM method) reduces false-negative results 3-4 times (98% sensitivity)
RTM can identify rapidly growing tumors, thus reducing the number of false negative findings.
Native mammography reveals structural changes in only 80% of all tumors.
To date, clinical trials have been conducted in 7 healthcare facilities in Russia and the United States for over 3,500 patients. Tests have shown that 90% of breast cancer patients have experienced RTM tissue increased heat activity (90% sensitivity).
Research in Slovakia
Article: / Prakt Gyn 2007; 11 (5)
Authors: V. Bella, E. Zámečníková: Microwave Radiometry and Breast Disease – Introduction of a New Diagnostic Method in Practice?
unlimited quantification of examinations
monitoring the effectiveness of treatments and procedures
highly sensitive diagnostic method – accuracy
detection of anomalies in the early stages of their development
instant result and visualization