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Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis.
Neurosurg Rev
January 2025
Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA.
Currently, the World Health Organization (WHO) grade of meningiomas is determined based on the biopsy results. Therefore, accurate non-invasive preoperative grading could significantly improve treatment planning and patient outcomes. Considering recent advances in machine learning (ML) and deep learning (DL), this meta-analysis aimed to evaluate the performance of these models in predicting the WHO meningioma grade using imaging data.
View Article and Find Full Text PDFLiquid biopsy technologies: innovations and future directions in breast cancer biomarker detection.
Biomed Microdevices
January 2025
Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Luzhou, 646000, Sichuan, People's Republic of China.
Globally, breast cancer is the most frequent type of cancer, and its early diagnosis and screening can significantly improve the probability of survival and quality of life of those affected. Liquid biopsy-based targets such as circulating tumor cells, circulating tumor DNA, and exosomes have been instrumental in the early discovery of cancer, and have been found to be effective in stage therapy, recurrence monitoring, and drug selection. Biosensors based on these target related biomarkers convert the tested substances into quantifiable signals such as electrical and optical signals through signal transduction, which has the advantages of high sensitivity, simple operation, and low invasiveness.
View Article and Find Full Text PDFGlucose Lowering through Weight management (GLoW): a randomised controlled trial of the clinical and cost effectiveness of a diabetes education and behavioural weight management programme vs a diabetes education programme in adults with a recent diagnosis of type 2 diabetes.
Diabetologia
January 2025
MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Aims/hypothesis: UK standard care for type 2 diabetes is structured diabetes education, with no effects on HbA, small, short-term effects on weight and low uptake. We evaluated whether remotely delivered tailored diabetes education combined with commercial behavioural weight management is cost-effective compared with current standard care in helping people with type 2 diabetes to lower their blood glucose, lose weight, achieve remission and improve cardiovascular risk factors.
Methods: We conducted a pragmatic, randomised, parallel two-group trial.
Concentration of Povidone-Iodine Pocket Irrigation in Implant-Based Breast Surgery: A Scoping Review.
Aesthetic Plast Surg
January 2025
Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
Background: In implant-based breast surgery, microbial contamination of implant surfaces predisposes complications such as overt periprosthetic infection and has been linked to capsular contracture (CC). Anti-microbial practices, including povidone-iodine (PVP-I) breast pocket irrigation, are routinely employed to minimise these risks. No standardised protocol for using this antiseptic exists, particularly concerning the ideal concentration.
View Article and Find Full Text PDF[Preliminary application of human-computer interaction CT imaging AI recognition and positioning technology in the treatment of type C1 distal radius fractures].
Zhongguo Gu Shang
January 2025
Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
Objective: To explore the accuracy of human-computer interaction software in identifying and locating type C1 distal radius fractures.
Methods: Based on relevant inclusion and exclusion criteria, 14 cases of type C1 distal radius fractures between September 2023 and March 2024 were retrospectively analyzed, comprising 3 males and 11 females(aged from 27 to 82 years). The data were assigned randomized identifiers.
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