The main aim of this study was to create a semiempirical model, helpful in estimating severity of the Helicobacter pylori (H. pylori) infection by using the urea breath test (UBT), when urea labelled 14C has been used for diagnostics. The model consists of four compartments representing stomach (1), blood vascular system (2), lungs (3) and urinary system (4). Mathematical model is based on the balance of radioactive 14C in compartments from 1 to 4. The histological investigations were used as reference methods. Comparison of the results obtained from simulation, which yields dependence of 14C activity on time, to experimental results of UBT, made it possible to determine the ranges of coefficient hB value, which characterized each degrees of severity of H. pylori infection: degree 0 (lack of infection) - hB below 0.025; degree 1 (not large) - hB in range 0.025-0.115; degree 2 (moderate) - hB in range 0.115-0.300; degree 3 (significant) - hB above 0.300. It was possible to estimate severity of H. pylori infection in clinical practice on the basis of comparing the 14C activity value of experimental points as obtained from the breath test, to the results of simulation with suitable value of the fitted parameter hB indicating degree of severity of infection.
2
Dostęp do pełnego tekstu na zewnętrznej witrynie WWW
Radioisotope technique allows noninvasive medical diagnosis such as diagnostication of Helicobacter pylori (H. pylori) infection by using urea laballed with C-14 and intraoperative control of sentinel node in breath cancer with use of nanocoloid labelled with Tc-99m. The knowledge of radiotracer transport and internal radiation hazard enable to improve medical diagnosis methods. The urea breath test (UBT) results have been used to apply compartmental modelling for determining severity and localisation of the Helicobacter pylori infection. The water imaging phantom of breast has been elaborated to prepare the application of a hand-held gamma probe Modelo-2 in an intraoperative control of sentinel node in breath cancer (RIGS - RadioImmunoguided Surgery).
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.