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Reverse Total Shoulder Arthroplasty Versus Hemiarthroplasty for the Treatment of Proximal Humerus Fractures: A Model-Based Cost-Effectiveness Analysis. J Am Acad Orthop Surg 2021; 29:e1353-e1361. [PMID: 34037546 DOI: 10.5435/jaaos-d-21-00166] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 04/21/2021] [Indexed: 02/01/2023] Open
Abstract
INTRODUCTION Compared with hemiarthroplasty (HA), reverse total shoulder arthroplasty (RTSA) may provide greater cost and health-related benefits for patients with complex three- and four-part proximal humeral fractures. This study set out to compare RTSA versus HA for the incremental cost per incremental improvement in quality adjusted life years (QALYs) for a hypothetical cohort of patients with proximal humerus fractures. METHODS Parameters and characteristics for a hypothetical cohort of elderly patients with proximal humerus fractures were collected through the literature. A cohort-level Markov decision model was constructed. Incremental cost-effectiveness ratios representing the difference in cost divided by the difference in QALYs were calculated, and scenario, one-way, and probabilistic analysis were conducted. RESULTS RTSA was associated with lower cost and greater effectiveness compared with HA. The predicted cost difference corresponded to a saving of $99,626 per 100 individuals treated, and the predicted difference in QALY was 16.8 per 100 individuals treated. Results were sensitive to the discount rate, the health-related quality of life assigned to health states, and the cost of the surgical procedures. In probabilistic analysis, 77.1% of iterations were cost-effective at a threshold willingness-to-pay for a QALY of $100,000 US dollars. DISCUSSION Findings suggest that RTSA may be a cost-effective alternative to HA for treating elderly patients requiring surgery for proximal humerus fractures. DATA AVAILABILITY The model and corresponding code are available on request to the corresponding author. LEVEL OF EVIDENCE USING THE JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPEDIC SURGEONS GUIDANCE Level III.
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Magnetoencephalography in the Detection and Characterization of Brain Abnormalities Associated with Traumatic Brain Injury: A Comprehensive Review. Med Sci (Basel) 2021; 9:medsci9010007. [PMID: 33557219 PMCID: PMC7930962 DOI: 10.3390/medsci9010007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/08/2021] [Accepted: 01/29/2021] [Indexed: 01/18/2023] Open
Abstract
Magnetoencephalography (MEG) is a functional brain imaging technique with high temporal resolution compared with techniques that rely on metabolic coupling. MEG has an important role in traumatic brain injury (TBI) research, especially in mild TBI, which may not have detectable features in conventional, anatomical imaging techniques. This review addresses the original research articles to date that have reported on the use of MEG in TBI. Specifically, the included studies have demonstrated the utility of MEG in the detection of TBI, characterization of brain connectivity abnormalities associated with TBI, correlation of brain signals with post-concussive symptoms, differentiation of TBI from post-traumatic stress disorder, and monitoring the response to TBI treatments. Although presently the utility of MEG is mostly limited to research in TBI, a clinical role for MEG in TBI may become evident with further investigation.
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Kwon CS, Chang EF, Jetté N. Cost-Effectiveness of Advanced Imaging Technologies in the Presurgical Workup of Epilepsy. Epilepsy Curr 2020; 20:7-11. [PMID: 31910665 PMCID: PMC7020533 DOI: 10.1177/1535759719894307] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
The cost-effectiveness and benefit of many diagnostic tests used in the presurgical evaluation for persons with epilepsy is for the most part uncertain as is their influence on decision-making. The options we have at our disposal are ever increasing. Advanced imaging modalities aim to improve surgical candidacy by helping us better define the epileptogenic zone and optimize surgical planning. However, judicious use is important. Randomized controlled trials delineating which mode of investigation is superior are lacking. Presurgical tests do have incremental value by increasing surgical candidacy and refining surgical planning. The yield of additional imaging will increase with complex localization. However, every case must be tailored by hypothesis, cost, and accessibility. Future studies using a quantitative cost–benefit framework are needed to determine the cost-effectiveness of advanced diagnostic tests (beyond magnetic resonance imaging) in the presurgical evaluation of those with epilepsy.
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Affiliation(s)
- Churl-Su Kwon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Division of Health Outcomes & Knowledge Translation Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Edward F Chang
- Department of Neurosurgery, University of California, San Francisco, CA, USA.,Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Nathalie Jetté
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Division of Health Outcomes & Knowledge Translation Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Bardouille T, Power L, Lalancette M, Bishop R, Beyea S, Taylor MJ, Dunkley BT. Variability and bias between magnetoencephalography systems in non-invasive localization of the primary somatosensory cortex. Clin Neurol Neurosurg 2018; 171:63-69. [PMID: 29843072 DOI: 10.1016/j.clineuro.2018.05.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 05/06/2018] [Accepted: 05/14/2018] [Indexed: 10/16/2022]
Abstract
OBJECTIVES Magnetoencephalography (MEG) provides functional neuroimaging data for pre-surgical planning in patients with epilepsy or brain tumour. For mapping the primary somatosensory cortex (S1), MEG data are acquired while a patient undergoes median nerve stimulation (MNS) to localize components of the somatosensory evoked field (SEF). In clinical settings, only one MEG imaging session is usually possible due to limited resources. As such, it is important to have an a priori estimate of the expected variability in localization. Variability in S1 localization between mapping sessions using the same MEG system has been previously measured as 8 mm. There are different types of MEG systems available with varied hardware and software, and it is not known how using a different MEG system will impact on S1 localization. PATIENTS AND METHODS In our study, healthy participants underwent the MNS procedure with two different MEG systems (Vector View and CTF). We compared the location, amplitude and latency of SEF components between data from each system to quantify variability and bias between MEG systems. RESULTS We found 8-11 mm variability in S1 localization between the two MEG systems, and no evidence for a systematic bias in location, amplitude or latency between the two systems. CONCLUSION These findings suggest that S1 localization is not biased by the type of MEG system used, and that differences between the two systems are not a major contributor to variability in localization.
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Affiliation(s)
- Timothy Bardouille
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS, B3H 4R2, Canada; Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre, 5980 University Street, Halifax, NS, B3K 6R8, Canada; Department of Diagnostic Radiology, Dalhousie University, Room 319, Victoria Building, 1276 South Park St, Halifax, NS B3H 2Y9, Canada.
| | - Lindsey Power
- Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre, 5980 University Street, Halifax, NS, B3K 6R8, Canada.
| | - Marc Lalancette
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, M5G 1X8, Canada.
| | - Ronald Bishop
- Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre, 5980 University Street, Halifax, NS, B3K 6R8, Canada.
| | - Steven Beyea
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS, B3H 4R2, Canada; Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre, 5980 University Street, Halifax, NS, B3K 6R8, Canada; Department of Diagnostic Radiology, Dalhousie University, Room 319, Victoria Building, 1276 South Park St, Halifax, NS B3H 2Y9, Canada.
| | - Margot J Taylor
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, M5G 1X8, Canada.
| | - Benjamin T Dunkley
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, M5G 1X8, Canada.
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