首页|Queensland University of Technology Reports Findings in Nephrectomy(Cost-effect iveness analysis of microwave ablation versusrobot-assisted partial nephrectomy for patients with small renalmasses in Australia)
Queensland University of Technology Reports Findings in Nephrectomy(Cost-effect iveness analysis of microwave ablation versusrobot-assisted partial nephrectomy for patients with small renalmasses in Australia)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Nephrectomy is the subject of a report. According to newsreporting out of Brisbane, Austral ia, by NewsRx editors, research stated, “Microwave ablation (MWA)has gained att ention as a minimally invasive and safe alternative to surgical intervention for patients withsmall renal masses; however, its cost-effectiveness in Australia remains unclear. This study conducteda cost-effectiveness analysis to evaluate the relative clinical and economic merits of MWA compared torobotic-assisted pa rtial nephrectomy (RA-PN) in the treatment of small renal masses.”Our news journalists obtained a quote from the research from the Queensland Univ ersity of Technology,“A Markov state-transition model was constructed to simula te the progression of Australian patients withsmall renal masses treated with M WA versus RA-PN over a 10-year horizon. Transition probabilities andutility dat a were sourced from comprehensive literature reviews, and cost data were estimat ed from theAustralian health system perspective. Life-years, quality-adjusted l ife-years (QALYs), and lifetime costswere estimated. Modelled uncertainty was a ssessed using both deterministic and probabilistic sensitivityanalyses. A willi ngness-to-pay (WTP) threshold of $50,000 per QALY was adopted. All costs are expressedin 2022 Australian dollars and discounted at 3% annually. To assess the broader applicability of our findings,a validated cost- adaptation method was employed to extend the analysis to 8 other high-income cou ntries.Both the base case and cost-adaptation analyses revealed that MWA domina ted RA-PN, producing bothlower costs and greater effectiveness over 10 years. T he cost-effectiveness outcome was robust acrossall model parameters. Probabilis tic sensitivity analyses confirmed that MWA was dominant in 98.3%of simulations at the designated WTP threshold, underscoring the reliability of the model under varyingassumptions.”
BrisbaneAustraliaAustralia and New Z ealandEmerging TechnologiesHealth and MedicineKidneyMachine LearningNe phrectomyNephrologyRobotRoboticsSurgeryUrologic Surgical Procedures
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