| Title |
Pacientų sergančių inkstų akmenlige gydymo optimizavimas remiantis šlapimo nuosėdų spektroskopinės analizės metodu, laboratoriniais kraujo ir šlapimo tyrimais, radiologiniais vizualiniais duomenimis / |
| Translation of Title |
Treatment optimization of urolithiasis patients based on spectroscopic analysis of urinary sediments, laboratory, and visual radiological findings. |
| Authors |
Snicorius, Marius |
| DOI |
10.15388/vu.thesis.601 |
| Full Text |
|
| Pages |
148 |
| Keywords [eng] |
kidney stones ; optimization of urolithiasis treatment ; spectroscopy ; FTIR-ATR ; extracorproreal lithotripsy |
| Abstract [eng] |
This thesis aims to improve the examination and treatment of patients with urinary tract stones. The basis for treating and preventing urolithiasis is accurate knowledge of the stone composition. Current urological endoscopic stone removal procedures tend to be based on laser fragmentation of the stone to fine dust, which makes it inconvenient to use a special endoscopic loop or basket to remove the fragments and send them for examination. The cost of the operation increases, and the operation time is longer. To address this problem, a modern spectroscopic method for the rapid and accurate assessment of urinary sediment has been proposed: FTIR-ATR. The effectiveness and usefulness of this method have been demonstrated in a biomedical study. This study also analyses the factors determining the effectiveness of another treatment modality for urolithiasis: extracorporeal lithotripsy, and how to improve the selection of patients for this procedure. A detailed analysis of the data collected showed that the most important factors for the effectiveness of extracorporeal lithotripsy: stone size and volume, density, and most importantly, the ratio of the shock wave dose to the volume of the stone during the procedure. The assessment of these factors before the procedure and their use in predicting and achieving a good treatment outcome is demonstrated in this thesis. |
| Dissertation Institution |
Vilniaus universitetas. |
| Type |
Doctoral thesis |
| Language |
Lithuanian |
| Publication date |
2024 |
