Previous studies have shown that the accuracy of computer-assisted surgery (CAS) via computed tomography (CT) free systems is useful when applied in the clinical realm. However, few studies have compared CAS systems to the current gold standard, manually applied measuring guides. Thirty total knee arthroplasties (TKA) were performed on artificial Sawbones knees using three different navigational systems. The TKAs were performed by a fellowship-trained joint reconstruction surgeon as well as a third- and a fourth-year orthopedic resident to assess differences in performance with regard to surgical experience. Using a two-way multivariate analysis of variance (MANOVA), no statistical differences were found in the accuracy of each of the three CAS navigational systems. Similarly, no differences were found between the accuracy of CAS systems and the gold standard measuring method. No differences in performance were found between the orthopedic residents and the fellowship-trained surgeon, suggesting a relatively small learning curve and usability. Definitive assessment of the clinical efficacy should be further assessed in a cadaveric study or, ideally, by way of a randomized clinical trial.
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Sci Rep
January 2025
Department of Signal Theory and Communications, Universidad de Valladolid, 47002, Valladolid, Spain.
Sound-based uroflowmetry (SU) offers a non-invasive alternative to traditional uroflowmetry (UF) for evaluating lower urinary tract dysfunctions, enabling home-based testing and reducing the need for clinic visits. This study compares SU and UF in estimating urine flow rate and voided volume in 50 male volunteers (aged 18-60), with UF results from a Minze uroflowmeter as the reference standard. Audio signals recorded during voiding were segmented and machine learning algorithms (gradient boosting, random forest, and support vector machine) estimated flow parameters from three devices: Ultramic384k, Mi A1 smartphone, and Oppo smartwatch.
View Article and Find Full Text PDFAcad Radiol
January 2025
Guangxi Medical University, Nanning, Guangxi 530021, China (C.Z., D.H., B.W., S.W., Y.S., X.W.); Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, Guangxi 530021, China (C.Z., D.H., B.W., S.W., Y.S., X.W.); Department of Gastrointestinal Gland Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China (D.H., X.W.). Electronic address:
Rationale And Objectives: Accurate preoperative pathological staging of gastric cancer is crucial for optimal treatment selection and improved patient outcomes. Traditional imaging methods such as CT and endoscopy have limitations in staging accuracy.
Methods: This retrospective study included 691 gastric cancer patients treated from March 2017 to March 2024.
Acad Radiol
January 2025
Department of Radiology, Shengjing Hospital of China Medical University, China (Y.Y., T.W.). Electronic address:
Rationale And Objectives: Mixed ground-glass nodules (mGGNs) are highly malignant and common nonspecific lung imaging findings. This study aimed to explore whether combining quantitative and qualitative spectral dual-layer detector-based computed tomography (SDCT)-derived parameters with serological tumor abnormal proteins (TAPs) and thymidine kinase 1 (TK1) expression enhances invasive mGGN diagnostic efficacy and to develop a joint diagnostic model.
Materials And Methods: This prospective study included patients with mGGNs undergoing preoperative triple-phase contrast-enhanced SDCT with TAP and TK1 tests.
BMJ Open
January 2025
Clinical and Research Center on Acute Lung Injury, Beijing Shijitan Hospital Capital Medical University, Beijing, Beijing, China
Objectives: The purpose of this study was to evaluate the predictive value of the cough peak flow (CPF) for successful extubation in postcraniotomy critically ill patients.
Design: This was a single-centre prospective diagnostic study.
Setting: The study was conducted in three intensive care units (ICUs) of a teaching hospital.
Comput Biol Med
January 2025
Department of Mathematics, NED University of Engineering & Technology, Pakistan. Electronic address:
For consideration of uncertainties of a medicine dataset, a new conceptual architecture fuzzy three-valued logic is introduced in this research work. The proposed concept is applied to the heart disease dataset for the assessment of heart disease risk in individuals. By comparison of three binary (0,1) input variables, the variables' uncertainties and their collective impact can be analyzed that provide complete information leading to better outcome prediction.
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