Siemens computed tomography is installed in the Center for Imaging Diagnostics MLADOST . The device – SOMATOM go.Now is equipped with technology for double-energy research, which opens a whole new page in the diagnostic capabilities of computed tomography. Thanks to these regimes, it is possible to qualitatively and quantitatively study specific deposits in the body, which are associated with some of the most common and painful chronic diseases:
In the study of kidney stones SOMATOM go.Now can identify all the parameters needed to determine subsequent therapy, namely:
- Chemical composition
- Dimensions, shape and volume
- Density in Hunsfield units (HU)
The tomograph uses automatic algorithms to distinguish and color-code the following types of kidney stones – uric acid, calcium oxalate, cysteine and hydroxylapatite stones.
The information on the composition, size and density of the deposits is completely sufficient for the urologists and nephrologists when determining a treatment plan, including lithotripsy, in case the stones are not subject to conservative treatment and hardware fracture is required.
The diagnosis of gout has so far been based mainly on blood tests. However, elevated uric acid levels are only an indirect sign of the possible development of the disease. Often the diagnosis is confirmed by examination of the surrounding fluid, which is taken by puncture. This is a painful and not completely safe procedure.
CT examination of gout is suitable for accurate, non-invasive and painless diagnosis, which can monitor the progress of the disease and the effectiveness of an appropriate treatment plan. SOMATOM go.Now not only detects the presence of deposited uric acid crystals, but calculates their volume and color-codes specific deposits.
SOMATOM go.Now uses artificial intelligence in the selection of research modes. Autonomous algorithms take into account the personal anthropology of each patient and eliminate the risk of setting the wrong parameters, which could worsen the quality of research.
The device achieves twice lower radiation levels than the previous generation of devices, while maintaining the high resolution of the three-dimensional image. This is achieved through innovative filtering, which stops unnecessary low-energy spectrum and skips only the one involved in image generation.