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The aim of the study is to propose a visual classification for encrusted stents (ESs) to help choose the appropriate endourologic treatment. A multicenter, retrospective, and descriptive study was performed. A total of 140 patients with encrusted Double-J stents were enrolled from 5 different institutions. The novel visual grading for ureteral encrusted stent (V-GUES) classification system ranges from A to D, increasing with severity of encrustation. ESs could be removed with a single intervention in 112 patients (86.8%). Type A and B ESs could be removed in all patients (100% success). Type D stents had minor retrieval and stone-free rates ( = 0.006 and < 0.0001, respectively). Flexible ureteroscopy had a low success rate (77.7%) for type C stents (odds ratio [OR]: 0.21). Combined access had a 100% success rate for retrieval of type C ESs and a 92.9% success rate for type D ESs (OR: 9.18). Type D stents were associated with patients requiring more than one session to retrieve the stent (OR: 0.11) and stones (OR: 0.21). The V-GUES system is associated with treatment success rates of ES retrieval and stone-free status. It is also associated with the complication rate and the number of sessions needed for patients to be stent and stone free. The V-GUES classification could help counsel patients about the best treatment options and their outcomes. Further prospective studies will be needed to provide external validation.
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http://dx.doi.org/10.1089/end.2020.1225 | DOI Listing |
J Craniofac Surg
September 2025
Department of Oral and Maxillofacial Surgery, University of Ulsan Hospital, University of Ulsan College of Medicine.
This study aimed to develop a deep-learning model for the automatic classification of mandibular fractures using panoramic radiographs. A pretrained convolutional neural network (CNN) was used to classify fractures based on a novel, clinically relevant classification system. The dataset comprised 800 panoramic radiographs obtained from patients with facial trauma.
View Article and Find Full Text PDFPLoS One
September 2025
School of Computer Science, CHART Laboratory, University of Nottingham, Nottingham, United Kingdom.
Background And Objective: Male fertility assessment through sperm morphology analysis remains a critical component of reproductive health evaluation, as abnormal sperm morphology is strongly correlated with reduced fertility rates and poor assisted reproductive technology outcomes. Traditional manual analysis performed by embryologists is time-intensive, subjective, and prone to significant inter-observer variability, with studies reporting up to 40% disagreement between expert evaluators. This research presents a novel deep learning framework combining Convolutional Block Attention Module (CBAM) with ResNet50 architecture and advanced deep feature engineering (DFE) techniques for automated, objective sperm morphology classification.
View Article and Find Full Text PDFJ Invasive Cardiol
September 2025
Newark Beth Israel Medical Center, Newark, New Jersey.
Objectives: The authors hypothesized that the origin of the right coronary artery (RCA) is a direct continuation of the major aortic arch branches (MAAB) takeoff plane, which may have implications for brachiocephalic interventions and next generation transcatheter aortic valve intervention (TAVI) embolic protection devices (EPDs).
Methods: In this single-center, retrospective, cross-sectional study, the authors analyzed computed tomographic angiography (CTA) images from 92 patients undergoing TAVI evaluation to determine the spatial relationship between the origin of the RCA and the MAAB takeoff plane. Patients with prior cardiothoracic or aortic interventions and those with anomalous RCA origin were excluded.
Cornea
September 2025
Department of Ophthalmology, University of Duesseldorf, Duesseldorf, Germany.
Purpose: To report a case of late dehiscence of an EndoArt implant and its successful management 10 months after initial implantation.
Methods: Case report.
Results: A 73-year-old man with a history of multiple failed Descemet membrane endothelial keratoplasty procedures on the right eye underwent EndoArt implantation for bullous keratopathy.
IEEE Trans Neural Syst Rehabil Eng
September 2025
Given the significant global health burden caused by depression, numerous studies have utilized artificial intelligence techniques to objectively and automatically detect depression. However, existing research primarily focuses on improving the accuracy of depression recognition while overlooking the explainability of detection models and the evaluation of feature importance. In this paper, we propose a novel framework named Enhanced Domain Adversarial Neural Network (E-DANN) for depression detection.
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