Introduction: Daily function plays an important role in the quality of life for patients suffering from pathology of the upper extremity. The recovery of functions of daily living determines the success or failure of the treatment for the patient. The goal of this study was to establish and validate a score set measuring quality of life, and objective and subjective function in general elbow pathologies.
Methods: A literature review was performed, in order to find a patient-based elbow specific questionnaire. The score set was tested and validated in a cross-sectional setting.
Results: The patient-rated elbow evaluation (PREE) was chosen as the patient-based elbow specific questionnaire. For measuring general health and subjective arm function, the short form-36 mental health (SF-36 MH) and the shortened disabilities of the arm, shoulder and hand questionnaire (quick DASH) were chosen, respectively. To measure objective function, several clinical tests were implemented. The score set was tested in 66 patients, of which 56.1% had function restrictions due to pain. The correlation between the PREE-function and quick DASH was found to be the highest (r = 0.74*). Between the PREE and quick DASH, the correlation was good (r = 0.70*) and between the PREE-pain and quick DASH, the correlation was moderate (r = 0.58*). The lowest correlation (r = 0.18) was found between the PREE and SF-36 MH (*p < 0.01).
Conclusion: General health, subjective and objective function can be measured in elbow pathology patients using a score set containing the SF-36 MH, quick DASH, PREE, and several clinical tests. Further testing of the score set needs to be executed in a prospective study.
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http://dx.doi.org/10.1007/s00402-012-1472-0 | DOI Listing |
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Acad Radiol
January 2025
Department of Radiology, Xinhua Hospital, Shanghai Jiaotong University Medical School, Shanghai 200092, China (Z.H.W., Y.Q.M., X.Y.W., N.X.Y., X.Y.W., G.R.). Electronic address:
Rationale And Objectives: The expression of human epidermal growth factor receptor 2 (HER2) in gastric cancer is closely associated with its treatment outcomes and prognosis. This study aims to develop and validate a HER2 prediction model based on computed tomography (CT). Additionally, the study evaluates the robustness of the proposed model.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.
Background: HIV testing is the cornerstone of HIV prevention and a pivotal step in realizing the Joint United Nations Program on HIV/AIDS (UNAIDS) goal of ending AIDS by 2030. Despite the availability of relevant survey data, there exists a research gap in using machine learning (ML) to analyze and predict HIV testing among adults in South Africa. Further investigation is needed to bridge this knowledge gap and inform evidence-based interventions to improve HIV testing.
View Article and Find Full Text PDFClin Chim Acta
January 2025
School of Life Sciences, Jiangsu University, Zhenjiang, China. Electronic address:
Noninvasive detection of BK virus, for early detection of BK polyomavirus-associated nephropathy post-renal transplantation, is currently an active subject of investigation. In this study, we developed and validated a novel risk score diagnostic assay (PymiR Score) based on measurements of three urine miRNAs, including BKV-related miRNA (bkv-miR-B1-5p), polyomavirus-related miRNA (bkv-miR-B1-3p) and renal tubular injury-related miRNA (miR-21-5p), by quantitative polymerase chain reaction. The limit of detection of the three miRNAs was 2 × 10 copies/mL, while the intra- and inter-assay coefficients of variation were in the ranges of 2.
View Article and Find Full Text PDFJ Dent
January 2025
Department of Oral & Maxillofacial Radiology, Peking University School & Hospital of Stomatology, Beijing 100081, China; National Center for Stomatology & National Clinical Research Center for Oral Diseases, Beijing 100081, China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China; Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China. Electronic address:
Objectives: In this study, artificial intelligence techniques were used to achieve automated diagnosis and classification of temporomandibular joint (TMJ) degenerative joint disease (DJD) on cone beam computed tomography (CBCT) images.
Methods: An AI model utilizing the YOLOv10 algorithm was trained, validated and tested on 7357 annotated and corrected oblique sagittal TMJ images (3010 images of normal condyles and 4347 images of condyles with DJD) from 1018 patients who visited Peking University School and Hospital of Stomatology for temporomandibular disorders and underwent TMJ CBCT examinations. This model could identify DJD as well as the radiographic signs of DJD, namely, erosion, osteophytes, sclerosis and subchondral cysts.
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