RESUMEN
BACKGROUND AND AIM: Auto repair workers are exposed to multiple pollutants, each of them potentially risks, dangerous for several target organs. The aim of this study is to identify their possible overall effect, by monitoring the concentration of salivary malondialdehyde, index of oxidative stress. MATERIALS AND METHODS: Malondialdehyde of 25 male workers, smokers and non-smokers, further divided into two subgroups relatively to the amplitude of their working place, was monitored, in the saliva, with the Thiobarbituric acid method. The control group consists of 12 and 13 male smokers, and 13 non-smokers. Univariate (UVA) and Multivariate (MVA) analysis methods were used to analyze the results. RESULTS: No variable is significant (P ≥ 0.05) for the control group using UVA, while age and smoking significantly increase the levels of MDA (P ≤ 0.05) using MVA. For workers group, the age and the place of work increase the MDA (P ≤ 0.05) using UVA analysis, while only the place of work remains significant (≤0.05) using MVA analysis. MVA analysis reveals that, besides the type of work, also the age and smoking significantly increase the level of MDA, as a result of a higher exposure to pollutants. CONCLUSIONS: You can check the cumulative effect of pollutants on auto repair workers, by monitoring the salivary malondialdehyde.
RESUMEN
PURPOSE: The purpose of this study was to propose a short way to summarise a breast magnetic resonance (MR) examination including a precontrast and contrast-enhanced dynamic study and proton spectroscopy (1H-MRS) in order to convey the diagnostic message. MATERIALS AND METHODS: At the Department of Radiology of the Policlinico San Donato (University of Milan), breast MR is routinely performed at 1.5 T as follows: 36-slice axial 2D short-time inversion-recovery (STIR) sequence; 128-partition 3D gradient-echo coronal sequence (1-mm3 siotropic voxel) before and after rapid automatic intravenous injection of 0.1 mmol/kg of Gd-DOTA (one precontrast and four postcontrast phases). Postprocessing includes temporal subtraction (postcontrast minus precontrast), maximum intensity projections (MIPs), percent enhancement-to-time curves for small regions of interest, and axial and/or sagittal multiplanar reconstructions. Single-voxel 1H-MRS is acquired to characterise focal lesions. Applying this protocol, more than 1,200 images are generated for each examination. We select only four MIPs of an early subtracted dynamic phase: one axial similar to craniocaudal x-ray mammographic views, one coronal, and two lateral similar to lateral 90 degrees x-ray mammographic views. For each lesion described in the report, we select five items, including three images, one graph, and one table: STIR image, precontrast and subtracted postcontrast images (morphology), percent enhancement-to-time curves and a table of raw data generating the curves (dynamics). If 1H-MRS has been performed, we add other five items: two postprocessed spectra (metabolism) and three images localising the volume of interest. Only the selected items are printed on films and attached to the report. RESULTS: The selected items range usually from four (no detected lesion) to 14 (one lesion, studied also with 1H-MRS), to 44 (five lesions, one of them studied also with 1H-MRS). The percentage of items presented with the report if compared with the total number of generated images is equal to 0.33% (4/1,200), 1.17% (14/1,200), and 2.83% (34/1,200), respectively. CONCLUSIONS: Breast MR imaging and 1H-MRS can be effectively summarised presenting only a minimal fraction of all generated images.