Aims: Evaluation of the mini invasiveness and the learning curve of the Prolift technique.
Materials And Methods: Prospective study. All patients were operated on by the same surgeon. The mini-invasiveness of the procedure was estimated through the evaluation of the intraoperative and immediate postoperative complications. The learning curve was evaluated through the analysis of the operative time.
Results: Between January and December 2007. Forty-seven patients were included in the study. Mean follow-up was: 11,8 months. Two cases of bladder injury and two cases of intraoperative bleeding (>500 ml) were reported. One case of vaginal erosion and one case of recurrence of the prolapse occurred during the follow-up. The mean operative time was 62+/-18 min. The mean operative time of the posterior step of the Prolift was 24+/-min and remained stable after the 18th procedure.
Discussion: The learning cure of the posterior of the procedure is longer because of the passage of the needles through the ischiorectal foramens. The technique is mini-invasive considered the low rate of intra and immediate postoperative complication and the learning curve short.
Conclusions: Longer follow-up is needed to evaluate the efficacy of the procedure in the long term.
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http://dx.doi.org/10.1016/j.jgyn.2008.10.004 | DOI Listing |
Cureus
December 2024
Internal Medicine, Belgaum Institute of Medical Science, Belgaum, IND.
Several studies explored the application of artificial intelligence (AI) in magnetic resonance imaging (MRI)-based rectal cancer (RC) staging, but a comprehensive evaluation remains lacking. This systematic review aims to review the performance of AI models in MRI-based RC staging. PubMed and Embase were searched from the inception of the database till October 2024 without any language and year restrictions.
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January 2025
Columbia University, Department of Electrical Engineering, New York, United States.
Significance: Radiofrequency ablation to treat atrial fibrillation (AF) involves isolating the pulmonary vein from the left atria to prevent AF from occurring. However, creating ablation lesions within the pulmonary veins can cause adverse complications.
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Comput Struct Biotechnol J
December 2024
Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.
More than 50 % of proteins bind to metal ions. Interactions between metal ions and proteins, especially coordinated interactions, are essential for biological functions, such as maintaining protein structure and signal transport. Physiological metal-ion binding prediction is pivotal for both elucidating the biological functions of proteins and for the design of new drugs.
View Article and Find Full Text PDFFront Mol Biosci
January 2025
Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Background: Emerging evidence underscores the comorbidity mechanisms among autoimmune diseases (AIDs), with innovative technologies such as single-cell RNA sequencing (scRNA-seq) significantly advancing the explorations in this field. This study aimed to investigate the shared genes among three AIDs-Multiple Sclerosis (MS), Systemic Lupus Erythematosus (SLE), and Rheumatoid Arthritis (RA) using bioinformatics databases, and to identify potential biomarkers for early diagnosis.
Methods: We retrieved transcriptomic data of MS, SLE, and RA patients from public databases.
Digit Health
January 2025
School of Computer Science, The University of Sydney, Sydney, NSW, Australia.
Objective: Machine learning (ML) has enabled healthcare discoveries by facilitating efficient modeling, such as for cancer screening. Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. This challenge is especially pronounced in healthcare because of stringent ethical considerations and resource constraints.
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