Introduction: The key point of successful PCNL is getting access to the renal collecting system. Ureteral catheterization and injection of contrast material provide an important advantage of visualizing and dilating the collecting system. However, catheterization increases the operation time, exposure to anesthesia, and requires additional reusable and disposable medical supplies. The purpose of the study was to develop a surgical algorithm for accessing the renal collecting system for mini-PCNL without catheterization.
Materials And Methods: We analyzed the treatment results of 82 patients with a single kidney stone, who underwent mini-PCNL without prior catheterization of the ureter. The percutaneous access was obtained according to the roadmap we had developed. The puncture was performed under X-ray control and US guidance. For a calyx stone, the puncture was performed "to the stone". For a pelvis stone, the targeted calyx was accessed using the following algorithm where each next step was performed if the puncture had been impossible at the previous one: 1. 30 min before the operation: infusion load of normal saline, 1000 ml. 2. Intraoperatively: intravenous furosemide, 60 mg. 3. Puncture "to the pelvic stone", injecting contrast material into the collecting system and correcting the access puncture through the required calyx.
Results: In all 82 cases, puncture access was performed without ureteral catheterization. In 20 patients with calyceal stones, puncture onto a stone was successfully performed in 100% of the cases. Of 62 patients with pelvic stones, preliminary infusion was enough to allow a successful puncture in 49 (79%), access after intravenous administration of furosemide was obtained in 13 (21%), and a primary puncture onto a pelvic stone had to be done in 6 (10%) patients.
Conclusions: Our proposed algorithm for accessing the PCS of the kidney was successfully used in 100% of the cases. It makes possible to avoid routine ureteral catheterization and thus reduce the overall operation time and the risk of complications, as well as save medical supplies. Clearly, such results require that the surgeon should have significant experience with puncture interventions under ultrasound control.
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Int J Med Inform
December 2024
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Electronic address:
Background: Solid organ transplantation (SOT) is vital for end-stage organ failure but faces challenges like organ shortage and rejection. Artificial intelligence (AI) offers potential to improve outcomes through better matching, success prediction, and automation. However, the evolution of AI in SOT research remains underexplored.
View Article and Find Full Text PDFJ Environ Radioact
January 2025
Nevada National Security Sites, Mercury, Nevada, 89023, USA. Electronic address:
The Xcounts algorithm for calculating air concentrations of radioactive xenon isotopes (Eslinger et al., 2023) has been extended to estimate Xe in addition to Xe, Xe, Xe, and Xe. The algorithm was applied to 119 samples collected with a SAUNA Q system (Ringbom et al.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Diabetes Management Research, Steno Diabetes Center Copenhagen, Herlev, Denmark.
Background: Although commercially developed automated insulin delivery (AID) systems have recently been approved and become available in a limited number of countries, they are not universally available, accessible, or affordable. Therefore, open-source AID systems, cocreated by an online community of people with diabetes and their families behind the hashtag #WeAreNotWaiting, have become increasingly popular.
Objective: This study focused on examining the lived experiences, physical and emotional health implications of people with diabetes following the initiation of open-source AID systems, their perceived challenges, and their sources of support, which have not been explored in the existing literature.
JMIR Aging
January 2025
Department of Computing, Faculty of Computer and Mathematical Sciences, Hong Kong Polytechnic University, Hung Hom, China (Hong Kong).
Background: Providing ongoing support to the increasing number of caregivers as their needs change in the long-term course of dementia is a severe challenge to any health care system. Conversational artificial intelligence (AI) operating 24/7 may help to tackle this problem.
Objective: This study describes the development of a generative AI chatbot-the PDC30 Chatbot-and evaluates its acceptability in a mixed methods study.
J Comput Assist Tomogr
November 2024
From the Department of Medical Imaging, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangyin City, Jiangsu Province, China.
Objectives: The aims of the study are to predict lung function impairment in patients with connective tissue disease (CTD)-associated interstitial lung disease (ILD) through computed tomography (CT) quantitative analysis parameters based on CT deep learning model and density threshold method and to assess the severity of the disease in patients with CTD-ILD.
Methods: We retrospectively collected chest high-resolution CT images and pulmonary function test results from 105 patients with CTD-ILD between January 2021 and December 2023 (patients staged according to the gender-age-physiology [GAP] system), including 46 males and 59 females, with a median age of 64 years. Additionally, we selected 80 healthy controls (HCs) with matched sex and age, who showed no abnormalities in their chest high-resolution CT.
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