View clinical trials related to Ureter Stone.
Filter by:Kidney stone disease causes significant morbidity, and stones obstructing the ureter can have serious consequences. Imaging diagnostics with computed tomography (CT) are crucial for diagnosis, treatment selection, and follow-up. Segmentation of CT images can provide objective data on stone burden and signs of obstruction. Artificial intelligence (AI) can automate such segmentation but can also be used for the diagnosis of stone disease and obstruction. In this project, the aim is to investigate if: Manual segmentation of CT scans can provide more accurate information about kidney stone disease compared to conventional interpretation. AI segmentation yields valid results compared to manual segmentation. AI can detect ureteral stones and obstruction or predict spontaneous passage.
Urolithiasis is one of the most common urological diseases. The risk of stone disease ranges between 5% and 12% worldwide. Ureteric stones account for ≈20% of all urinary tract stones and >70% of the ureteric stones are located in the lower third of the ureter, i.e., distal ureteric stones (DUS). The colicky-type pain in the ureter, an increase in proximal peristalsis through activation of intrinsic ureteral pacemakers may contribute to the perception of pain. Muscle spasm increased proximal peristalsis, local inflammation, irritation, and oedema at the site of obstruction may contribute to the development of pain through chemoreceptor activation and stretching of submucosal free nerve endings. α-adrenergic blockers, anti-inflammatory drugs, antihistaminic and calcium channel blockers, which have a relaxant effect on the ureteric smooth musculature. The presence of histamine receptors in the ureter have been presented in various studies. The histamine-1 (H1) receptors have been shown to have a wide distribution Histamine, which is secreted from the mast cells, causes strong peristaltic contractions in the ureter. alpha adrenoreceptor antagonists (i.e., tamsulosin) have been employed in the treatment of ureteric colic due to smooth muscle relaxation so their potential ability to increase stone passage, reduce pain medication use and reduce urologic interventions. According to the currently accepted view, renal colic management starts with NSAI drugs also NSAI has role in decrease inflammation and oedema and increase expulsion rate . in this study we will compare the use of alpha blocker versus alpha blocker and antihistaminic in management of acute renal colic prevent pain recurrence and increase expulsion rate of ureteric stone ≤ 1cm, with analgesic use in case of acute stage.
Précis: Randomised control trial to evaluate safety and efficacy of intraluminal injection of high pH-high concentration of a long-acting local anesthetic and long-acting glucocorticoid in the ureter after ureteroscopy. Objectives: To evaluate a novel method to ameliorate post-ureteroscopy pain in all patients (with and without stents) Endpoints: Primary endpoint: mean visual analog pain scale (VAS) post-operatively starting at 1 hour, 4 hours, 8 hours, 24 hours and 7 days post-procedure (minimum of 3 VAS scores). VAS pain, ureteral stent symptoms and analgesic requirement will be assessed at different points during this time period. Secondary endpoint: Postoperative Nausea/Vomiting (PONV), safety of intraluminal injection of high concentration alkalinized local anaesthetic solution by comparing adverse events between placebo and treatment arms. In addition, rehospitalisation rates and postoperative length of stay will be compared between the three groups. Population: 150 adult patients undergoing ureteroscopy for ureteric stone disease stratified into negative ureteroscopy and those treated for a stone with or without stent insertion postoperatively Number of Sites: Tallaght Hospital Study Duration: 8 months