Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Simulated bones play a crucial role in surgical training, yet existing models vary in fidelity and cost. We developed a novel, low-cost, high-quality SLA 3D-printed metacarpal to enhance hand trauma training. Our design incorporates novel cortico-medullary differentiation to replicate the tactile feedback experienced when drilling through real bone. Our device was tested across 3 centres with 17 hand surgeons providing feedback. Overall surgeons highly rated our device, with it outperforming homogenous control simulators. All surgeons agreed that it had the potential to enhance surgical training. We have addressed the single use aspect of our devices by partnering with a plastic upcycling firm to repurpose used simulators, minimising landfill waste. We look forward to implementing our device in surgical training, whilst further improving it via the addition of built in fractures and a soft tissue envelope.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bjps.2025.01.045DOI Listing

Publication Analysis

Top Keywords

surgical training
12
training
5
validation study
4
study novel
4
novel metacarpal
4
metacarpal simulator
4
simulator step
4
step hand
4
hand fracture
4
fracture fixation
4

Similar Publications

Surgical outcomes from haematoma evacuation for intracerebral haemorrhage in the INTERACT3 study.

Lancet Reg Health West Pac

September 2025

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.

Background: There is ongoing controversy as to whether surgical intervention to haematoma evacuation benefits patients with acute intracerebral haemorrhage (ICH). This study aimed to evaluate the association of surgical intervention to evacuate the haematoma and 6-month functional outcome in participants of the third Intensive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3).

Methods: This was a secondary analysis of INTERACT3, which enrolled adults (age ≥18 years) spontaneous ICH patients within 6 h after onset.

View Article and Find Full Text PDF

Study Question: Do social determinants of health (SDoH) influence the age at menopause among women?

Summary Answer: In our study, adverse SDoH, particularly family low income-to-poverty ratio (PIR), low education level, and the marital status of being widowed, are associated with earlier age at menopause.

What Is Known Already: Some prior studies have considered certain SDoH variables (such as educational attainment and marital status) as potential factors influencing age at menopause, but systematic evidence clearly defining the relationship between multidimensional SDoH and menopausal age remains lacking.

Study Design Size Duration: This cross-sectional analysis included 6083 naturally menopausal women from 10 cycles (1999-2018) of the United States National Health and Nutrition Examination Survey (NHANES) and excluded cases of surgical menopause.

View Article and Find Full Text PDF

Objective: The risk of lymph node metastasis significantly influences the choice of surgical strategy for patients with early-stage endometrial cancer. While sentinel lymph node dissection can be considered in clinically early-stage endometrial cancer, lymph node evaluation might be omitted in patients with very low risk of lymph node metastasis. This study aims to develop a predicting model for lymph node metastasis in these patients, identifying potential metastases as thoroughly as possible to provide clinicians with a preoperative reference that helps in decisions about surgical procedures and treatments.

View Article and Find Full Text PDF

Artificial intelligence (AI) is increasingly reshaping cosmetic surgery by enhancing surgical planning, predicting outcomes, and enabling objective aesthetic assessment. Through narrative synthesis of existing literature and case studies, this perspective paper explores the issue of algorithmic bias in AI-powered aesthetic technologies and presents a framework for culturally sensitive application within cosmetic surgery practices in the Middle East and North Africa (MENA) region. Existing AI systems are predominantly trained on datasets that underrepresent MENA phenotypes, resulting in aesthetic recommendations that disproportionately reflect Western beauty ideals.

View Article and Find Full Text PDF

Background: Lung cancer brain metastasis (LCBM) accounts for 40-50% of intracranial malignancies, with emerging evidence of alternative metastatic pathways circumventing the blood-brain barrier. Existing prognostic models lack validation in Asian populations and molecular stratification. This multicenter study aimed to develop a clinical nomogram integrating clinicopathological and molecular determinants for personalized LCBM management.

View Article and Find Full Text PDF