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Das D, Vongpromek R, Assawariyathipat T, Srinamon K, Kennon K, Stepniewska K, Ghose A, Sayeed AA, Faiz MA, Netto RLA, Siqueira A, Yerbanga SR, Ouédraogo JB, Callery JJ, Peto TJ, Tripura R, Koukouikila-Koussounda F, Ntoumi F, Ong’echa JM, Ogutu B, Ghimire P, Marfurt J, Ley B, Seck A, Ndiaye M, Moodley B, Sun LM, Archasuksan L, Proux S, Nsobya SL, Rosenthal PJ, Horning MP, McGuire SK, Mehanian C, Burkot S, Delahunt CB, Bachman C, Price RN, Dondorp AM, Chappuis F, Guérin PJ, Dhorda M. Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning. Malar J 2022; 21:122. [PMID: 35413904 PMCID: PMC9004086 DOI: 10.1186/s12936-022-04146-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 03/30/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Microscopic examination of Giemsa-stained blood films remains the reference standard for malaria parasite detection and quantification, but is undermined by difficulties in ensuring high-quality manual reading and inter-reader reliability. Automated parasite detection and quantification may address this issue. METHODS A multi-centre, observational study was conducted during 2018 and 2019 at 11 sites to assess the performance of the EasyScan Go, a microscopy device employing machine-learning-based image analysis. Sensitivity, specificity, accuracy of species detection and parasite density estimation were assessed with expert microscopy as the reference. Intra- and inter-device reliability of the device was also evaluated by comparing results from repeat reads on the same and two different devices. This study has been reported in accordance with the Standards for Reporting Diagnostic accuracy studies (STARD) checklist. RESULTS In total, 2250 Giemsa-stained blood films were prepared and read independently by expert microscopists and the EasyScan Go device. The diagnostic sensitivity of EasyScan Go was 91.1% (95% CI 88.9-92.7), and specificity 75.6% (95% CI 73.1-78.0). With good quality slides sensitivity was similar (89.1%, 95%CI 86.2-91.5), but specificity increased to 85.1% (95%CI 82.6-87.4). Sensitivity increased with parasitaemia rising from 57% at < 200 parasite/µL, to ≥ 90% at > 200-200,000 parasite/µL. Species were identified accurately in 93% of Plasmodium falciparum samples (kappa = 0.76, 95% CI 0.69-0.83), and in 92% of Plasmodium vivax samples (kappa = 0.73, 95% CI 0.66-0.80). Parasite density estimates by the EasyScan Go were within ± 25% of the microscopic reference counts in 23% of slides. CONCLUSIONS The performance of the EasyScan Go in parasite detection and species identification accuracy fulfil WHO-TDR Research Malaria Microscopy competence level 2 criteria. In terms of parasite quantification and false positive rate, it meets the level 4 WHO-TDR Research Malaria Microscopy criteria. All performance parameters were significantly affected by slide quality. Further software improvement is required to improve sensitivity at low parasitaemia and parasite density estimations. Trial registration ClinicalTrials.gov number NCT03512678.
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Affiliation(s)
- Debashish Das
- grid.499581.8Infectious Diseases Data Observatory (IDDO), Oxford, UK ,WorldWide Antimalarial Resistance Network (WWARN), Oxford, UK ,grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK ,grid.8591.50000 0001 2322 4988Institute of Global Health, University of Geneva, Geneva, Switzerland
| | - Ranitha Vongpromek
- grid.499581.8Infectious Diseases Data Observatory (IDDO), Oxford, UK ,WorldWide Antimalarial Resistance Network (WWARN), Oxford, UK ,grid.501272.30000 0004 5936 4917Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Thanawat Assawariyathipat
- grid.499581.8Infectious Diseases Data Observatory (IDDO), Oxford, UK ,WorldWide Antimalarial Resistance Network (WWARN), Oxford, UK ,grid.501272.30000 0004 5936 4917Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Ketsanee Srinamon
- grid.501272.30000 0004 5936 4917Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Kalynn Kennon
- grid.499581.8Infectious Diseases Data Observatory (IDDO), Oxford, UK ,WorldWide Antimalarial Resistance Network (WWARN), Oxford, UK ,grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Kasia Stepniewska
- grid.499581.8Infectious Diseases Data Observatory (IDDO), Oxford, UK ,WorldWide Antimalarial Resistance Network (WWARN), Oxford, UK ,grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Aniruddha Ghose
- grid.414267.20000 0004 5929 0882Chittagong Medical College (CMC), Chattogram, Bangladesh
| | - Abdullah Abu Sayeed
- grid.414267.20000 0004 5929 0882Chittagong Medical College (CMC), Chattogram, Bangladesh
| | | | - Rebeca Linhares Abreu Netto
- grid.418153.a0000 0004 0486 0972Fundação de Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Amazonas Brazil
| | - Andre Siqueira
- grid.418068.30000 0001 0723 0931Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
| | - Serge R. Yerbanga
- Institut Des Sciences Et Techniques (INSTech), Bobo-Dioulasso, Burkina Faso
| | | | - James J. Callery
- grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK ,grid.501272.30000 0004 5936 4917Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Thomas J. Peto
- grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK ,grid.501272.30000 0004 5936 4917Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Rupam Tripura
- grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK ,grid.501272.30000 0004 5936 4917Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | | | - Francine Ntoumi
- grid.452468.90000 0004 7672 9850Fondation Congolaise Pour La Recherche Médicale (FCRM), Brazzaville, Congo
| | - John Michael Ong’echa
- grid.33058.3d0000 0001 0155 5938Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Bernhards Ogutu
- grid.33058.3d0000 0001 0155 5938Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Prakash Ghimire
- grid.80817.360000 0001 2114 6728Tribhuvan University, Kathmandu, Nepal
| | - Jutta Marfurt
- grid.1043.60000 0001 2157 559XGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT Australia
| | - Benedikt Ley
- grid.1043.60000 0001 2157 559XGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT Australia
| | - Amadou Seck
- grid.8191.10000 0001 2186 9619Faculty of Medicine, University Cheikh Anta Diop (UCAD), Dakar, Senegal
| | - Magatte Ndiaye
- grid.8191.10000 0001 2186 9619Faculty of Medicine, University Cheikh Anta Diop (UCAD), Dakar, Senegal
| | - Bhavani Moodley
- grid.416657.70000 0004 0630 4574Parasitology Reference Laboratory, National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Lisa Ming Sun
- grid.416657.70000 0004 0630 4574Parasitology Reference Laboratory, National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Laypaw Archasuksan
- grid.10223.320000 0004 1937 0490Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Stephane Proux
- grid.10223.320000 0004 1937 0490Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Sam L. Nsobya
- grid.11194.3c0000 0004 0620 0548Department of Pathology, College of Health Science, Makerere University, Kampala, Uganda ,grid.463352.50000 0004 8340 3103Infectious Diseases Research Collaboration (IDRC), Kampala, Uganda
| | - Philip J. Rosenthal
- grid.266102.10000 0001 2297 6811University of California, San Francisco, CA USA
| | | | | | - Courosh Mehanian
- Global Health Labs, Bellevue, WA USA ,grid.170202.60000 0004 1936 8008University of Oregon, Eugene, OR USA
| | | | | | | | - Ric N. Price
- grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK ,grid.501272.30000 0004 5936 4917Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand ,grid.1043.60000 0001 2157 559XGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT Australia
| | - Arjen M. Dondorp
- grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK ,grid.501272.30000 0004 5936 4917Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - François Chappuis
- grid.150338.c0000 0001 0721 9812Division of Tropical and Humanitarian Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Philippe J. Guérin
- grid.499581.8Infectious Diseases Data Observatory (IDDO), Oxford, UK ,WorldWide Antimalarial Resistance Network (WWARN), Oxford, UK ,grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mehul Dhorda
- grid.499581.8Infectious Diseases Data Observatory (IDDO), Oxford, UK ,WorldWide Antimalarial Resistance Network (WWARN), Oxford, UK ,grid.4991.50000 0004 1936 8948Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK ,grid.501272.30000 0004 5936 4917Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
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Firdaus ER, Park JH, Muh F, Lee SK, Han JH, Lim CS, Na SH, Park WS, Park JH, Han ET. Performance Evaluation of Biozentech Malaria Scanner in Plasmodium knowlesi and P. falciparum as a New Diagnostic Tool. THE KOREAN JOURNAL OF PARASITOLOGY 2021; 59:113-119. [PMID: 33951766 PMCID: PMC8106981 DOI: 10.3347/kjp.2021.59.2.113] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 03/11/2021] [Indexed: 12/21/2022]
Abstract
The computer vision diagnostic approach currently generates several malaria diagnostic tools. It enhances the accessible and straightforward diagnostics that necessary for clinics and health centers in malaria-endemic areas. A new computer malaria diagnostics tool called the malaria scanner was used to investigate living malaria parasites with easy sample preparation, fast and user-friendly. The cultured Plasmodium parasites were used to confirm the sensitivity of this technique then compared to fluorescence-activated cell sorting (FACS) analysis and light microscopic examination. The measured percentage of parasitemia by the malaria scanner revealed higher precision than microscopy and was similar to FACS. The coefficients of variation of this technique were 1.2–6.7% for Plasmodium knowlesi and 0.3–4.8% for P. falciparum. It allowed determining parasitemia levels of 0.1% or higher, with coefficient of variation smaller than 10%. In terms of the precision range of parasitemia, both high and low ranges showed similar precision results. Pearson’s correlation test was used to evaluate the correlation data coming from all methods. A strong correlation of measured parasitemia (r2=0.99, P<0.05) was observed between each method. The parasitemia analysis using this new diagnostic tool needs technical improvement, particularly in the differentiation of malaria species.
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Affiliation(s)
- Egy Rahman Firdaus
- Department of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon 24341, Korea
| | - Ji-Hoon Park
- Department of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon 24341, Korea
| | - Fauzi Muh
- Department of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon 24341, Korea
| | - Seong-Kyun Lee
- Department of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon 24341, Korea
| | - Jin-Hee Han
- Department of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon 24341, Korea
| | - Chae-Seung Lim
- Department of Laboratory Medicine, Korea University College of Medicine, Seoul 08308, Korea
| | - Sung-Hun Na
- Department of Obstetrics and Gynecology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon 24341, Korea
| | - Won Sun Park
- Department of Physiology, School of Medicine, Kangwon National University, Chuncheon 24341, Korea
| | - Jeong-Hyun Park
- Department of Anatomy and Cell Biology, School of Medicine, Kangwon National University, Chuncheon 24341, Korea
| | - Eun-Taek Han
- Department of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon 24341, Korea
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5
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Du YQ, Ling XX, Jin JJ, Zhou HY, Zhu S, Zhu GD, Wang W, Cao J, Huang JY. Cost-effectiveness analysis of malaria rapid diagnostic test in the elimination setting. Infect Dis Poverty 2020; 9:135. [PMID: 32993762 PMCID: PMC7523355 DOI: 10.1186/s40249-020-00745-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/20/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND As more and more countries approaching the goal of malaria elimination, malaria rapid diagnostic tests (RDT) was recomendated to be a diagnostic strategy to achieve and maintain the statute of malaria free, as it's less requirments on equipment and experitise than microscopic examination. But there are very few economic evaluations to confirm whether RDT was cost-effective in the setting of malaria elimination. This research aimed to offer evidence for helping decision making on malaria diagnosis strategy. METHODS A cost-effectiveness analysis was conducted to compare RDT with microscopy examination for malaria diagnosis, by using a decision tree model. There were three strategies of malaria diagnostic testing evaluated in the model, 1) microscopy, 2) RDT, 3) RDT followed by microscopy. The effect indicator was defined as the number of malaria cases treated appropriately. Based on the joint perspective of health sector and patient, costs data were collected from hospital information systems, key informant interviews, and patient surveys. Data collection was conducted in Jiangsu from September 2018 to January 2019. Epidemiological data were obtained from local malaria surveillance reports. A hypothetical cohort of 300 000 febrile patients were simulated to calculate the total cost and effect of each strategy. One-way, two-way, and probabilistic sensitivity analysis were performed to test the robustness of the result. RESULTS The results showed that RDT strategy was the most effective (245 cases) but also the most costly (United States Dollar [USD] 4.47 million) compared to using microscopy alone (238 cases, USD 3.63 million), and RDT followed by microscopy (221 cases, USD 2.75 million). There was no strategy dominated. One-way sensitivity analysis reflected that the result was sensitive to the change in labor cost and two-way sensitivity analysis indicated that the result was not sensitive to the proportion of falciparum malaria. The result of Monte Carlo simulation showed that RDT strategy had higher effects and higher cost than other strategies with a high probability. CONCLUSIONS Compared to microscopy and RDT followed by microscopy, RDT strategy had higher effects and higher cost in the setting of malaria elimination.
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Affiliation(s)
- Yan-Qiu Du
- Key Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China
| | - Xiao-Xiao Ling
- Department of Statistical Science, University College London, WC1E 6BT, London, UK
| | - Jia-Jie Jin
- Key Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China
| | - Hua-Yun Zhou
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China
| | - Si Zhu
- Key Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China
| | - Guo-Ding Zhu
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China.,Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.,Public Health Research Center, Jiangnan University, Wuxi, 214122, China
| | - Wei Wang
- Key Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China
| | - Jun Cao
- National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory of Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China. .,Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. .,Public Health Research Center, Jiangnan University, Wuxi, 214122, China.
| | - Jia-Yan Huang
- Key Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200433, China.
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Cheaveau J, Mogollon DC, Mohon MAN, Golassa L, Yewhalaw D, Pillai DR. Asymptomatic malaria in the clinical and public health context. Expert Rev Anti Infect Ther 2019; 17:997-1010. [PMID: 31718324 DOI: 10.1080/14787210.2019.1693259] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Introduction: Historically, the global community has focused on the control of symptomatic malaria. However, interest in asymptomatic malaria has been growing, particularly in the context of malaria elimination.Areas covered: We undertook a comprehensive PubMed literature review on asymptomatic malaria as it relates to detection and elimination with emphasis between 2014 and 2019. Diagnostic tools with a low limit of detection (LOD) have allowed us to develop a more detailed understanding of asymptomatic malaria and its impact. These highly sensitive diagnostics have demonstrated that the prevalence of asymptomatic malaria is greater than previously thought. In addition, it is now possible to detect the malaria reservoir in the community, something that was previously not feasible. Asymptomatic malaria has previously not been treated, but research has begun to examine whether treating individuals with asymptomatic malaria may lead to health benefits. Finally, we have begun to understand the importance of asymptomatic malaria in ongoing transmission.Expert opinion: Therefore, with malaria elimination back on the agenda, asymptomatic malaria can no longer be ignored, especially in light of new ultra-sensitive diagnostic tools.
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Affiliation(s)
- James Cheaveau
- Department of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Canada, AB, Canada
| | - Daniel Castaneda Mogollon
- Department of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Canada, AB, Canada
| | - Md Abu Naser Mohon
- Department of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Canada, AB, Canada
| | - Lemu Golassa
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Delenasaw Yewhalaw
- Department of Medical Laboratory Sciences and Pathology, College of Health Sciences, Jimma University, Jimma, Ethiopia
| | - Dylan R Pillai
- Department of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Canada, AB, Canada.,Department of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
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