Rationale And Objectives: To evaluate prospectively, in patients with suspected or known urinary stone disease, the image quality and diagnostic confidence of nonenhanced abdominal low-dose computed tomography (CT) with iterative reconstruction (IR) compared to filtered back-projection (FBP).
Materials And Methods: Fifty consecutive patients with suspected (n = 33) or known (n = 17) urinary stone disease underwent nonenhanced abdominal low-dose CT (120 kVp, 30 effective mAs, 1.6 ± 0.5 mSv). Reconstructions were performed with sinogram-affirmed IR and with FBP. Attenuation (in Hounsfield units) was measured in subcutaneous fat and urinary bladder; image noise was determined. Two readers assessed image quality, number and location of urinary calculi were recorded, and diagnostic confidence was assessed. Statistical analyses included Mann-Whitney, Friedman's two-way, Wilcoxon signed rank, Pearson's, and Spearman's rank order correction tests.
Results: Attenuation of urinary bladder (P = .208, reader 1; P = .123, reader 2) and fat (P = .568, reader 1; P = .834, reader 2) was similar among FBP and IR datasets. Image noise was reduced in IR datasets by 40.1% (P < .001). IR improved image quality (P < .01), and obesity as factor impairing image quality was noted in FBP but not in IR images (P < .05). There was no significant difference in number of calculi in datasets reconstructed with IR and FBP (P = .102, reader 1; P = .059, reader 2). Diagnostic confidence regarding identification of urinary calculi improved with IR (P < .05, reader 1; P < .01, reader 2).
Conclusion: IR improves image quality and confidence for diagnosing urinary stone disease in abdominal low-dose CT.
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http://dx.doi.org/10.1016/j.acra.2013.08.009 | DOI Listing |
World J Gastroenterol
January 2025
Université de Bourgogne, Institut Agro-INRAe, Dijon 21000, France.
The recent study exploring the bidirectional associations between gallstone disease, non-alcoholic fatty liver disease, and kidney stone disease highlights a critical concern in chronic disease management. Given the rising global prevalence of these conditions, understanding their interconnections is essential. The study emphasizes the importance of shared risk factors, such as obesity, type 2 diabetes, dyslipidemia, and oxidative stress, and calls for multidisciplinary screening strategies.
View Article and Find Full Text PDFBMC Urol
January 2025
Urology and Nephrology Research Center (UNRC), Research Institute for Urology and Nephrology, Center of Excellence in Urology, Shahid Labbafinejad Hospital, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran.
Background: Medical Expulsive Therapy (MET) has been recommended as an established modality for the treatment of distal ureteral stones due to its clearance rate, pain control, and patient satisfaction while having minimal morbidity in comparison to other urologic interventions. In some studies, a combination of medications has been used, which we assessed in this network meta-analysis (NMA).
Methods: We conducted systematic searches in PubMed, Scopus, and Web of Science to identify relevant trials published between 2001 and 2024.
World J Urol
January 2025
Department of Urology, Ruby Hall Clinic, Pune, India.
Background: We aimed to evaluate and compare the rise in the temperature for the safety of the kidney parenchyma on firing the Holmium: Yttrium Aluminium Garnet laser and the Thulium Fiber Laser during laser lithotripsy in humans.
Method: We included 30 pre-stented patients with renal calculi undergoing Retrograde intra-renal surgery. They were randomized into two groups - 15 patients underwent holmium laser lithotripsy and 15 patients underwent TFL laser lithotripsy.
Sci Rep
January 2025
Department of Urology, Vanderbilt University Medical Center, Nashville, USA.
Recent advancements of large language models (LLMs) like generative pre-trained transformer 4 (GPT-4) have generated significant interest among the scientific community. Yet, the potential of these models to be utilized in clinical settings remains largely unexplored. In this study, we investigated the abilities of multiple LLMs and traditional machine learning models to analyze emergency department (ED) reports and determine if the corresponding visits were due to symptomatic kidney stones.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Internal Medicine, Bursa Sehir Training and Research Hospital, University of Health Sciences, Bursa, Turkey.
Primary hyperparathyroidism (pHPT) is marked by mineral imbalances, often leading to nephrolithiasis and osteoporosis. While imaging remains the cornerstone for stone detection, there is growing interest in biochemical markers that could enhance diagnostic accuracy. This study investigates the calcium-to-magnesium (Ca/Mg) ratio as a novel biomarker for nephrolithiasis, comparing its utility to traditional 24-h urinary calcium excretion and exploring its broader clinical implications.
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