The efficiency of urine dipsticks for the diagnosis of urinary tract infection

Urinary tract infection (UTI) is one of the most prevalent pathologies in developed countries, particularly in women, characterized by the presence of bacterial growth in any part of the urinary system. Currently, urine culture is considered the gold standard method for the diagnosis of UTI. However, this method has several disadvantages including the time necessary for obtaining the results and the associated high costs. Therefore, it is important to evaluate new efficient and valuable methods for the diagnosis of these infections. Objectives: Presently, dipsticks are considered a possible valuable alternative to urine culture. This method has very low costs associated and the results can be obtained in few minutes. Here we aim to compare the sensibility, specificity, predictive value of a positive test and a negative test of both methods in order to determine the efficiency of the test strips method and also to characterize the microorganism more frequently isolated.

Relation between DNA damage measured by comet assay and OGG1 Ser326Cys polymorphism in antineoplastic drugs biomonitoring

Antineoplastic drugs are hazardous chemical agents used mostly in the treatment of patients with cancer, however health professionals that handle and administer these drugs can become exposed and develop DNA damage. Comet assay is a standard method for assessing DNA damage in human biomonitoring and, combined with formamidopyrimidine DNA glycosylase (FPG) enzyme, it specifically detects DNA oxidative damage. The aim of this study was to investigate genotoxic effects in workers occupationally exposed to cytostatics (n = 46), as compared to a control group with no exposure (n = 46) at two Portuguese hospitals, by means of the alkaline comet assay. The potential of the OGG1 Ser326Cys polymorphism as a susceptibility biomarker was also investigated. Exposure was evaluated by investigating the contamination of surfaces and genotoxic assessment was done by alkaline comet assay in peripheral blood lymphocytes. OGG1 Ser326Cys (rs1052133) polymorphism was studied by Real Time PCR. As for exposure assessment, there were 121 (37%) positive samples out of a total of 327 samples analysed from both hospitals. No statistically significant differences (Mann-Whitney test, p > 0.05) were found between subjects with and without exposure, regarding DNA damage and oxidative DNA damage, nevertheless the exposed group exhibited higher values. Moreover, there was no consistent trend regarding the variation of both biomarkers as assessed by comet assay with OGG1 polymorphism. Our study was not statistically significant regarding occupational exposure to antineoplastic drugs and genetic damage assessed by comet assay. However, health professionals should be monitored for risk behaviour, in order to ensure that safety measures are applied and protection devices are used correctly.

The use of non-standard CT conversion ramps for Monte Carlo verification of 6 MV prostate IMRT plans

Monte Carlo (MC) dose calculation algorithms have been widely used to verify the accuracy of intensity-modulated radiotherapy (IMRT) dose distributions computed by conventional algorithms due to the ability to precisely account for the effects of tissue inhomogeneities and multileaf collimator characteristics. Both algorithms present, however, a particular difference in terms of dose calculation and report. Whereas dose from conventional methods is traditionally computed and reported as the water-equivalent dose (Dw), MC dose algorithms calculate and report dose to medium (Dm). In order to compare consistently both methods, the conversion of MC Dm into Dw is therefore necessary. This study aims to assess the effect of applying the conversion of MC-based Dm distributions to Dw for prostate IMRT plans generated for 6 MV photon beams. MC phantoms were created from the patient CT images using three different ramps to convert CT numbers into material and mass density: a conventional four material ramp (CTCREATE) and two simplified CT conversion ramps: (1) air and water with variable densities and (2) air and water with unit density. MC simulations were performed using the BEAMnrc code for the treatment head simulation and the DOSXYZnrc code for the patient dose calculation. The conversion of Dm to Dw by scaling with the stopping power ratios of water to medium was also performed in a post-MC calculation process. The comparison of MC dose distributions calculated in conventional and simplified (water with variable densities) phantoms showed that the effect of material composition on dose-volume histograms (DVH) was less than 1% for soft tissue and about 2.5% near and inside bone structures. The effect of material density on DVH was less than 1% for all tissues through the comparison of MC distributions performed in the two simplified phantoms considering water. Additionally, MC dose distributions were compared with the predictions from an Eclipse treatment planning system (TPS), which employed a pencil beam convolution (PBC) algorithm with Modified Batho Power Law heterogeneity correction. Eclipse PBC and MC calculations (conventional and simplified phantoms) agreed well (<1%) for soft tissues. For femoral heads, differences up to 3% were observed between the DVH for Eclipse PBC and MC calculated in conventional phantoms. The use of the CT conversion ramp of water with variable densities for MC simulations showed no dose discrepancies (0.5%) with the PBC algorithm. Moreover, converting Dm to Dw using mass stopping power ratios resulted in a significant shift (up to 6%) in the DVH for the femoral heads compared to the Eclipse PBC one. Our results show that, for prostate IMRT plans delivered with 6 MV photon beams, no conversion of MC dose from medium to water using stopping power ratio is needed. In contrast, MC dose calculations using water with variable density may be a simple way to solve the problem found using the dose conversion method based on the stopping power ratio.