Using Relation Index Wr in Radiologic Diagnosis
Journal Title: Fizjoterapia Polska - Year 2016, Vol 16, Issue 3
Abstract
Introduction. In treatment procedure, due to strategy and evaluation of changes, high importance has precise medical physiotherapeutic diagnosis. In this study it was substantiated that the chest X-ray picture evaluated in ILO (International Labour Organization) classification is less precise method in diagnosis of silicosis that HRCT (High Resolution Computed Tomography) examination. Purpose of This Study. Using the relative index Wr in diagnosing silicosis nodules in classical radiography evaluated in ILO and received using the HRCT method to check effectiveness of the both methods. Material and Method. From the group of 358 patients with diagnosed silicosis, 65 males were selected in whom the HRCT chest examinations were made in an interval not longer than 6 months from the last X-ray picture in ILO classification. In each patient on the X-ray picture and the HRTC exam the diameters of the smallest and the biggest nodules were measured. Then, an average values from nodule measurements were calculated in each exam. To achieve results, the following statistical methods were used: scale T1 [1], relation index Wr, in intervals: Wr∈[0.9; 1.1], Wr<0.9 and Wr>1.1. In these intervals, the correlation coefficients between nodule diameters in ILO classification and HRCT using Pearson’s method. Results. The correlation between average nodule diameters in individual Wr intervals is very high or very certain and H0 was rejected (exceptional is Wr>1.1 interval for rosettes). Therefore, it was demonstrated that the chest X-ray picture evaluated in the ILO classification and the HRCT examination similarly allow diagnosing the disease – silicosis, but the type of nodules may be found only using the HRCT. Conclusions. The HRCT method is more efficient than the classic chest X-ray as it detects nodule types, namely centrilobular, under pleural, peribronchovascular rosettes and tree budding.
Authors and Affiliations
Wojciech Kiebzak, Beata Książkiewicz, Michał Kosztołowicz, Małgorzata Kiebzak
Keywords
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