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d'Angela D, Orso M, Migliore A, Polistena B, Spandonaro F, Bernardini S. HTA model for laboratory medicine technologies: overview of approaches adopted in some international agencies. Clin Chem Lab Med 2024; 0:cclm-2023-1203. [PMID: 39044459 DOI: 10.1515/cclm-2023-1203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 07/12/2024] [Indexed: 07/25/2024]
Abstract
The Health Technology Assessment (HTA) Working Group of the Emerging Technology Division of International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) aims to develop a methodological approach for producing structured HTA information for laboratory medicine technologies. This approach seeks to support decision-making processes at the country, regional, and/or hospital levels regarding the introduction of specific technologies. The focus of this model will primarily be on defining assessment elements within the domains of 'organizational aspects' and 'costs and economic evaluations', potentially differentiated by the type of diagnostic technology (e.g., genetic tests, molecular tests). To achieve this project's goal, a literature review and examination of websites of international HTA agencies have been conducted. The research aims to identify multidisciplinary methodological approaches used to assess laboratory diagnostic technologies and to pinpoint the domains and assessment elements utilized. We found 7 methodological articles describing methodological approaches adopted to assess laboratory diagnostic technologies. Among the HTA organizations considered, 23 reports were found, of which 7 were produced by the European Network of HTA (EUnetHTA), 4 by the National Institute for Health and Care Excellence Diagnostic Assessment Program (NICE DAP), and 12 by other HTA agencies. The EUnetHTA reports were rapid collaborative assessments covering various domains, while the NICE DAP reports focused on diagnostic guidances, including descriptions of technologies, clinical need and practice, diagnostic tests, accuracy, effectiveness, and cost-effectiveness. Finally, a survey targeting laboratory professionals will be conducted to introduce assessment elements, differentiated by the type of diagnostic technology, primarily for organizational and economic domains.
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Affiliation(s)
- Daniela d'Angela
- C.R.E.A. Sanità (Centre for Applied Economic Research in Healthcare), Rome, Italy
- University of Rome Tor Vergata, Rome, Italy
| | - Massimiliano Orso
- C.R.E.A. Sanità (Centre for Applied Economic Research in Healthcare), Rome, Italy
| | - Antonio Migliore
- C.R.E.A. Sanità (Centre for Applied Economic Research in Healthcare), Rome, Italy
| | - Barbara Polistena
- C.R.E.A. Sanità (Centre for Applied Economic Research in Healthcare), Rome, Italy
- University of Rome Tor Vergata, Rome, Italy
| | - Federico Spandonaro
- C.R.E.A. Sanità (Centre for Applied Economic Research in Healthcare), Rome, Italy
- University of Rome Tor Vergata, Rome, Italy
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Ramagopalan SV, Gomes M, Durand-Zaleski I, Malcolm B, Diaz J, Mitchell G, Pearson-Stuttard J, Garrison LP. Val (EU) xit: do we need an international ISPOR value flower? J Comp Eff Res 2024:e240083. [PMID: 39028108 DOI: 10.57264/cer-2024-0083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2024] Open
Affiliation(s)
- Sreeram V Ramagopalan
- Lane Clark & Peacock LLP, London, W1U 1DQ, UK
- Centre for Pharmaceutical Medicine Research, King's College London, London, SE1 9NH, UK
| | - Manuel Gomes
- Department of Applied Health Research, University College London, London, WC1E 6BT, UK
| | | | - Bill Malcolm
- Global Health Economics & Outcomes Research, Bristol Myers Squibb, Uxbridge, UB8 1DH, UK
| | - Jose Diaz
- Global Health Economics & Outcomes Research, Bristol Myers Squibb, Uxbridge, UB8 1DH, UK
| | | | | | - Louis P Garrison
- The Comparative Health Outcomes, Policy, & Economics (CHOICE) Institute, University of Washington, Seattle, WA 98195, USA
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Tomaiuolo R, Banfi G, Messina C, Albano D, Gitto S, Sconfienza LM. Health technology assessment in musculoskeletal radiology: the case study of EOSedge™. LA RADIOLOGIA MEDICA 2024; 129:1076-1085. [PMID: 38856961 PMCID: PMC11252187 DOI: 10.1007/s11547-024-01832-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 05/30/2024] [Indexed: 06/11/2024]
Abstract
OBJECTIVES Health technology assessment (HTA) is a systematic process used to evaluate the properties and effects of healthcare technologies within their intended use context. This paper describes the adoption of HTA process to assess the adoption of the EOSedge™ system in clinical practice. METHODS The EOSedge™ system is a digital radiography system that delivers whole-body, high-quality 2D/3D biplanar images covering the complete set of musculoskeletal and orthopedic exams. Full HTA model was chosen using the EUnetHTA Core Model® version 3.0. The HTA Core Model organizes the information into nine domains. Information was researched and obtained by consulting the manufacturers' user manuals, scientific literature, and institutional sites for regulatory aspects. RESULTS All nine domains of the EUnetHTA Core Model® helped conduct the HTA of the EOSedge, including (1) description and technical characteristics of the technology; (2) health problem and current clinical practice; (3) safety; (4) clinical effectiveness; (5) organizational aspects; (6) economic evaluation; (7) impact on the patient; (8) ethical aspects; and (9) legal aspects. CONCLUSIONS EOS technologies may be a viable alternative to conventional radiographs. EOSedge has the same intended use and similar indications for use, technological characteristics, and operation principles as the EOS System and provides significant dose reduction factors for whole spine imaging compared to the EOS System without compromising image quality. Regarding the impact of EOS imaging on patient outcomes, most studies aim to establish technical ability without evaluating their ability to improve patient outcomes; thus, more studies on this aspect are warranted.
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Affiliation(s)
- Rossella Tomaiuolo
- Vita-Salute San Raffaele University, Milan, Italy
- IRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy
| | - Giuseppe Banfi
- Vita-Salute San Raffaele University, Milan, Italy
- IRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy
| | - Carmelo Messina
- IRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy
- Department of Biomedical, Surgical, and Dental Sciences, University of Milan, Milan, Italy
| | - Salvatore Gitto
- IRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Luca Maria Sconfienza
- IRCCS Istituto Ortopedico Galeazzi, Via Cristina Belgioioso 173, 20157, Milan, Italy.
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
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Ximenes D, de Jesus G, de Sousa ASCFC, Soares C, Amaral LC, Oakley T, Alves L, Amaral S, Sarmento N, Guterres H, Cabral JADD, Boavida F, Yan J, Francis JR, Martins N, Arkell P. A pilot study investigating severe community-acquired febrile illness through implementation of an innovative microbiological and nucleic acid amplification testing strategy in Timor-Leste (ISIN-MANAS-TL). IJID REGIONS 2024; 11:100345. [PMID: 38596819 PMCID: PMC11002651 DOI: 10.1016/j.ijregi.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 04/11/2024]
Abstract
Objectives Acute febrile illness (AFI) causes significant health-seeking, morbidity, and mortality in Southeast Asia. This pilot study aimed to describe presentation, etiology, treatment, and outcomes of patients with AFI at one hospital in Timor-Leste and assessing the feasibility of conducting larger studies in this setting. Methods Patients attending Hospital Nacional Guido Valadares with tympanic or axillary temperature ≥37.5°C in whom a blood culture was taken as part of routine clinical care were eligible. Participants were followed up daily for 10 days and again after 30 days. Whole blood was analyzed using a real-time quantitative polymerase chain reaction assay detecting dengue virus serotypes 1-4 and other arthropod-borne infections. Results A total of 82 participants were recruited. Polymerase chain reaction testing was positive for dengue in 14 of 82 (17.1%) participants and blood culture identified a bacterial pathogen in three of 82 (3.7%) participants. Follow-up was completed by 75 of 82 (91.5%) participants. High rates of hospital admission (58 of 82, 70.7%), broad-spectrum antimicrobial treatment (34 of 82, 41.5%), and mortality (9 of 82, 11.0%) were observed. Conclusions Patients with AFI experience poor clinical outcomes. Prospective observational and interventional studies assessing interventions, such as enhanced diagnostic testing, clinical decision support tools, or antimicrobial stewardship interventions, are required and would be feasible to conduct in this setting.
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Affiliation(s)
- Deolindo Ximenes
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
| | - Gustodio de Jesus
- Emergency Department, Hospital Nacional Guido Valadares, Dili, Timor-Leste
| | - Antonio SCFC de Sousa
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
- Molecular and Serology Department, Laboratorio Nacional da Saúde, Dili, Timor-Leste
| | - Caetano Soares
- Emergency Department, Hospital Nacional Guido Valadares, Dili, Timor-Leste
| | - Luciana C. Amaral
- Emergency Department, Hospital Nacional Guido Valadares, Dili, Timor-Leste
| | - Tessa Oakley
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
| | - Lucsendar Alves
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
| | - Salvador Amaral
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
| | - Nevio Sarmento
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
| | - Helio Guterres
- Internal Medicine Department, Hospital Nacional Guido Valadares, Dili, Timor-Leste
| | | | - Flavio Boavida
- Emergency Department, Hospital Nacional Guido Valadares, Dili, Timor-Leste
| | - Jennifer Yan
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
| | - Joshua R. Francis
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
| | - Nelson Martins
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
| | - Paul Arkell
- Global and Tropical Health Division, Menzies School of Health Research Timor-Leste Office, Charles Darwin University, Dili, Timor-Leste
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Graziadio S, Gregg E, Allen AJ, Neveux P, Monz BU, Davenport C, Mealing S, Holmes H, Ferrante di Ruffano L. Is the Comparator in Your Diagnostic Cost-Effectiveness Model "Standard of Care"? Recommendations from Literature Reviews and Expert Interviews on How to Identify and Operationalize It. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2024; 27:585-597. [PMID: 38401794 DOI: 10.1016/j.jval.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/08/2024] [Accepted: 02/14/2024] [Indexed: 02/26/2024]
Abstract
OBJECTIVES This research aimed to develop best-practice recommendations for identifying the "standard of care" (SoC) and integrate it when it is the comparator in diagnostic economic models (SoC comparator). METHODS A multi-methods approach comprising 2 pragmatic literature reviews and 9 expert interviews was used. Experts rated their agreement with draft recommendations based on the authors' analysis of the reviews. These were refined iteratively to produce final recommendations. RESULTS Fourteen best-practice recommendations are provided. Care pathway mapping (using quantitative, qualitative, or mixed-methods approaches) should be used for identifying the SoC comparator. Guidelines analysis can be integrated with expert opinion to identify pathway variability and discrepancies from clinical practice. For integrating the SoC comparator into the model, recommendations around structure, input sourcing, data aggregation and reporting, input uncertainty, and model variability are presented. For example, modelers should consider that the reference standard is not synonymous with the SoC, and the SoC may not be the only comparator. The comparator limitations should be discussed with clinical experts, but elicitation of its diagnostic accuracy is not recommended. Probabilistic sensitivity analysis is recommended when evaluating the overall input uncertainty, and deterministic sensitivity analysis is useful when there is high model uncertainty or SoC variability. Consensus could not be reached for some topics (eg, the role of real-world data, model averaging, and alternative model structures), but the reported discussions provide points for consideration. CONCLUSIONS To our knowledge, this is the first guidance to support modelers when identifying and operationalizing the SoC comparator in diagnostic cost-effectiveness models.
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Affiliation(s)
- Sara Graziadio
- York Health Economics Consortium, Enterprise House, University of York, Innovation Way, York, England, UK.
| | - Emily Gregg
- York Health Economics Consortium, Enterprise House, University of York, Innovation Way, York, England, UK
| | - A Joy Allen
- Health Economics, Roche Diagnostics UK and Ireland, Burgess Hill, England, UK
| | - Paul Neveux
- Global Access & Policy, Roche Diagnostics International AG, Rotkreuz, Switzerland
| | - Brigitta U Monz
- Global Access & Policy, Roche Diagnostics International AG, Rotkreuz, Switzerland
| | - Clare Davenport
- Institute of Applied Health Research, University of Birmingham, Birmingham, England, UK
| | - Stuart Mealing
- York Health Economics Consortium, Enterprise House, University of York, Innovation Way, York, England, UK
| | - Hayden Holmes
- York Health Economics Consortium, Enterprise House, University of York, Innovation Way, York, England, UK
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Shinkins B, Allen AJ, Karichu J, Garrison LP, Monz BU. Evidence Synthesis and Linkage for Modelling the Cost-Effectiveness of Diagnostic Tests: Preliminary Good Practice Recommendations. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2024; 22:131-144. [PMID: 38316713 PMCID: PMC10864520 DOI: 10.1007/s40258-023-00855-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/05/2023] [Indexed: 02/07/2024]
Abstract
OBJECTIVES To develop preliminary good practice recommendations for synthesising and linking evidence of treatment effectiveness when modelling the cost-effectiveness of diagnostic tests. METHODS We conducted a targeted review of guidance from key Health Technology Assessment (HTA) bodies to summarise current recommendations on synthesis and linkage of treatment effectiveness evidence within economic evaluations of diagnostic tests. We then focused on a specific case study, the cost-effectiveness of troponin for the diagnosis of myocardial infarction, and reviewed the approach taken to synthesise and link treatment effectiveness evidence in different modelling studies. RESULTS The Australian and UK HTA bodies provided advice for synthesising and linking treatment effectiveness in diagnostic models, acknowledging that linking test results to treatment options and their outcomes is common. Across all reviewed models for the case study, uniform test-directed treatment decision making was assumed, i.e., all those who tested positive were treated. Treatment outcome data from a variety of sources, including expert opinion, were utilised for linked clinical outcomes. Preliminary good practice recommendations for data identification, integration and description are proposed. CONCLUSION Modelling the cost-effectiveness of diagnostic tests poses unique challenges in linking evidence on test accuracy to treatment effectiveness data to understand how a test impacts patient outcomes and costs. Upfront consideration of how a test and its results will likely be incorporated into patient diagnostic pathways is key to exploring the optimal design of such models. We propose some preliminary good practice recommendations to improve the quality of cost-effectiveness evaluations of diagnostics tests going forward.
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Affiliation(s)
- Bethany Shinkins
- Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
- Leeds Institute for Health Sciences, University of Leeds, Clarendon Way, Leeds, UK.
- NIHR Leeds In Vitro Diagnostics Co-operative (MIC), Leeds, UK.
| | - A Joy Allen
- Access and Innovation, Roche Diagnostics UK and Ireland, Burgess Hill, UK
| | - James Karichu
- Global Access & Policy, Roche Diagnostics Solutions, Pleasanton, California, USA
| | - Louis P Garrison
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, USA
| | - Brigitta U Monz
- Global Access & Policy, Roche Diagnostics International AG, Forrenstrasse 2, 6343, Rotkreuz, Switzerland
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Greaves R, Kricka L, Gruson D, Ferrari M, Martin H, Loh TP, Bernardini S. Toolkit for emerging technologies in laboratory medicine. Clin Chem Lab Med 2023; 61:2102-2114. [PMID: 37314970 DOI: 10.1515/cclm-2023-0571] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 06/04/2023] [Indexed: 06/16/2023]
Abstract
An emerging technology (ET) for laboratory medicine can be defined as an analytical method (including biomarkers) or device (software, applications, and algorithms) that by its stage of development, translation into broad routine clinical practice, or geographical adoption and implementation has the potential to add value to clinical diagnostics. Considering the laboratory medicine-specific definition, this document examines eight key tools, encompassing clinical, analytical, operational, and financial aspects, used throughout the life cycle of ET implementation. The tools provide a systematic approach starting with identifying the unmet need or identifying opportunities for improvement (Tool 1), forecasting (Tool 2), technology readiness assessment (Tool 3), health technology assessment (Tool 4), organizational impact map (Tool 5), change management (Tool 6), total pathway to method evaluation checklist (Tool 7), and green procurement (Tool 8). Whilst there are differences in clinical priorities between different settings, the use of this set of tools will help support the overall quality and sustainability of the emerging technology implementation.
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Affiliation(s)
- Ronda Greaves
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Larry Kricka
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Medical Center, Philadelphia, PA, USA
| | - Damien Gruson
- Cliniques Universitaires Saint Luc, Département des Laboratoires Cliniques, Biochimie Médicale, Brussels, Belgium
| | | | | | - Tze Ping Loh
- National University Hospital, Singapore, Singapore
| | - Sergio Bernardini
- Department of Experimental Medicine, University Tor Vergata, Rome, Italy
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Husereau D, Bombard Y, Stockley T, Carter M, Davey S, Lemaire D, Nohr E, Park P, Spatz A, Williams C, Pollett A, Lo B, Yip S, El Hallani S, Feilotter H. Future Role of Health Technology Assessment for Genomic Medicine in Oncology: A Canadian Laboratory Perspective. Curr Oncol 2023; 30:9660-9669. [PMID: 37999120 PMCID: PMC10670221 DOI: 10.3390/curroncol30110700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/23/2023] [Accepted: 10/28/2023] [Indexed: 11/25/2023] Open
Abstract
Genome-based testing in oncology is a rapidly expanding area of health care that is the basis of the emerging area of precision medicine. The efficient and considered adoption of novel genomic medicine testing is hampered in Canada by the fragmented nature of health care oversight as well as by lack of clear and transparent processes to support rapid evaluation, assessment, and implementation of genomic tests. This article provides an overview of some key barriers and proposes approaches to addressing these challenges as a potential pathway to developing a national approach to genomic medicine in oncology.
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Affiliation(s)
- Don Husereau
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON K1G 5Z3, Canada
| | - Yvonne Bombard
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON M5T 3M6, Canada;
- Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, Michael’s Hospital, Unity Health Toronto, Toronto, ON M5B 1T8, Canada
| | - Tracy Stockley
- Division of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network, 200 Elizabeth Street, Toronto, ON M5G 2C4, Canada;
- Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King’s College Circle, Toronto, ON M5S 1A8, Canada
| | - Michael Carter
- Department of Pathology and Laboratory Medicine, Nova Scotia Health (Central Zone), Halifax, NS B3H 1V8, Canada;
| | - Scott Davey
- Department of Pathology and Molecular Medicine, Queen’s University, Kingston, ON K7L 3N6, Canada; (S.D.); (C.W.); (H.F.)
- Division of Cancer Biology and Genetics, Queen’s University Cancer Research Institute, Queen’s University, Kingston, ON K7L 3N6, Canada
- Departments of Oncology and Biomedical and Molecular Sciences, Queen’s University Cancer Research Institute, Queen’s University, Kingston, ON K7L 2V7, Canada
| | - Diana Lemaire
- Ontario Institute for Cancer Research, 661 University Ave, Toronto, ON M5G 0A3, Canada
| | - Erik Nohr
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada;
- Alberta Precision Laboratories, Foothills Medical Center, 1403 29 St NW, Calgary, AB T2N 2T9, Canada
| | - Paul Park
- Department of Pathology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3A 1R9, Canada;
| | - Alan Spatz
- Division of Pathology, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC H4A 3J, Canada;
- OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC H4A 3J, Canada
- Research Molecular Pathology Center, Lady Davis Institute, 3755 Côte Ste-Catherine Road, Montreal, QC H3T 1E2, Canada
| | - Christine Williams
- Department of Pathology and Molecular Medicine, Queen’s University, Kingston, ON K7L 3N6, Canada; (S.D.); (C.W.); (H.F.)
- Ontario Institute for Cancer Research, 661 University Ave, Toronto, ON M5G 0A3, Canada
| | - Aaron Pollett
- Pathology & Laboratory Medicine, Sinai Health System, Toronto, ON M5G 1X5, Canada;
- Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Bryan Lo
- The Ottawa General Hospital, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada;
| | - Stephen Yip
- Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z7, Canada;
| | - Soufiane El Hallani
- Alberta Precision Laboratory, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R7, Canada;
| | - Harriet Feilotter
- Department of Pathology and Molecular Medicine, Queen’s University, Kingston, ON K7L 3N6, Canada; (S.D.); (C.W.); (H.F.)
- Ontario Institute for Cancer Research, 661 University Ave, Toronto, ON M5G 0A3, Canada
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