Augmented Reality in Interventional Radiology: Transforming Training Paradigms.

The ascent of medical technology places augmented reality (AR) at the forefront of potential advancements in interventional radiology (IR) training. This review delves into the symbiotic relationship between AR and conventional IR training, casting light on the opportunities and hurdles intrinsic to this integration. A targeted literature review was conducted using the databases PubMed, Cochrane Library, and Embase. Search terms included ((("Augmented Reality" OR "Virtual Reality")) AND ((Education OR Training))) AND (("Interventional Radiology")). Ten studies identified using the comprehensive inclusion criteria helped scrutinize the use of AR in IR training. Key outcomes include improved procedural accuracy, reduced training duration, and heightened trainee confidence. However, it also identifies limitations such as small sample sizes, reliance on simulation environments, and technological constraints in AR implementation. Despite these challenges, the review underscored the transformative potential of AR in IR education, suggesting its capacity to revolutionize training methodologies. However, it also calls for continued technological development and empirical research to address current challenges and fully leverage AR's capabilities in medical education.

GC-MS Techniques Investigating Potential Biomarkers of Dying in the Last Weeks with Lung Cancer.

Predicting when a patient with advanced cancer is dying is a challenge and currently no prognostic test is available. We hypothesised that a dying process from cancer is associated with metabolic changes and specifically with changes in volatile organic compounds (VOCs). We analysed urine from patients with lung cancer in the last weeks of life by headspace gas chromatography mass spectrometry. Urine was acidified or alkalinised before analysis. VOC changes in the last weeks of life were identified using univariate, multivariate and linear regression analysis; 12 VOCs increased (11 from the acid dataset, 2 from the alkali dataset) and 25 VOCs decreased (23 from the acid dataset and 3 from the alkali dataset). A Cox Lasso prediction model using 8 VOCs predicted dying with an AUC of 0.77, 0.78 and 0.85 at 30, 20 and 10 days and stratified patients into a low (median 10 days), medium (median 50 days) or high risk of survival. Our data supports the hypothesis there are specific metabolic changes associated with the dying. The VOCs identified are potential biomarkers of dying in lung cancer and could be used as a tool to provide additional prognostic information to inform expert clinician judgement and subsequent decision making.

Reversal of Feed Intolerance by Prokinetics Improves Survival in Critically Ill Cirrhosis Patients.

BACKGROUND AND AIMS: Feed intolerance (FI) is common in cirrhosis patients in intensive care units (ICU). Prokinetics are the first line treatment for FI but their efficacy and safety in critically ill patient with cirrhosis is unknown. We evaluated the role of prokinetics in reversal of FI and clinical outcomes. METHODS: Consecutive patients admitted in ICU developing new-onset FI, were randomized to receive either intravenous metoclopramide (Gr.A, n = 28), erythromycin (Gr.B, n = 27) or placebo (Gr.C, n = 28). FI was defined with the presence of 3 of 5 variables- absence of bowel sounds, gastric residual volume ≥ 500 ml, vomiting, diarrhoea and bowel distension. Primary end-point was complete resolution of FI (≥ 3 variables resolved) within 24-h and secondary end-points included resolution within 72-h and survival at 7-days. RESULTS: Of the 1030 ICU patients, 201 (19.5%) developed FI and 83 patients were randomized. Baseline parameters between the groups were comparable. Complete resolution at 24-h was higher in Gr.A (7.14%) and B (22.2%) than C (0%, p = 0.017). Overall, 58 (69.9%) patients achieved resolution within 72 h, more with metoclopramide (n = 24, 85.7%) and erythromycin (n = 25, 92.6%) than with placebo (n = 9, 32.1%, p < 0.001). The 7-day survival was better in patients who achieved resolution within 72-h (65.5 vs. 36%, p = 0.011) than non-responders. High lactate (OR-3.32, CI-1.45-7.70, p = 0.005), shock at baseline (OR-6.34, CI-1.67-24.1, p = 0.007) and resolution of FI within 72 h (OR-0.11, CI, 0.03-0.51, p = 0.04) predicted 7-day mortality. CONCLUSIONS: FI is common in critically-ill cirrhosis patients and non-resolution carries high mortality. Early recognition and treatment with prokinetics is recommended to improve short-term survival.

Gastrointestinal dysmotility is common in cirrhosis and higher incidence in critically ill patients. Promotility drugs are the first line of medication especially in ICU patients. In our study, we found that feed intolerance is present in nearly one in five critically ill cirrhosis and is associated with higher mortality. Patients who achieve resolution had an improved short-term survival. Prokinetic medications are safe in critically ill cirrhosis and help in early resolution of feed intolerance. Feed intolerance in critically ill cirrhosis should be recognized as an organ dysfunction and approaches for prevention and early diagnosis of feed intolerance could help in improving the outcomes in critical illness.

Optimisation of Urine Sample Preparation for Headspace-Solid Phase Microextraction Gas Chromatography-Mass Spectrometry: Altering Sample pH, Sulphuric Acid Concentration and Phase Ratio.

Headspace-solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) can be used to measure volatile organic compounds (VOCs) in human urine. However, there is no widely adopted standardised protocol for the preparation of urine samples for analysis resulting in an inability to compare studies reliably between laboratories. This paper investigated the effect of altering urine sample pH, volume, and vial size for optimising detection of VOCs when using HS-SPME-GC-MS. This is the first, direct comparison of H2SO4, HCl, and NaOH as treatment techniques prior to HS-SPME-GC-MS analysis. Altering urine sample pH indicates that H2SO4 is more effective at optimising detection of VOCs than HCl or NaOH. H2SO4 resulted in a significantly larger mean number of VOCs being identified per sample (on average, 33.5 VOCs to 24.3 in HCl or 12.2 in NaOH treated urine) and more unique VOCs, produced a more diverse range of classes of VOCs, and led to less HS-SPME-GC-MS degradation. We propose that adding 0.2 mL of 2.5 M H2SO4 to 1 mL of urine within a 10 mL headspace vial is the optimal sample preparation prior to HS-SPME-GC-MS analysis. We hope the use of our optimised method for urinary HS-SPME-GC-MS analysis will enhance our understanding of human disease and bolster metabolic biomarker identification.