Malaria Clinical Trial
— AutoscopeOfficial title:
Field Evaluation of a Device for Automated Malaria Microscopy (Autoscope Version 2)
| NCT number | NCT02932072 |
| Other study ID # | WWARN1602 |
| Secondary ID | |
| Status | Completed |
| Phase | |
| First received | |
| Last updated | |
| Start date | November 10, 2016 |
| Est. completion date | July 19, 2017 |
| Verified date | September 2019 |
| Source | University of Oxford |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Observational |
Microscopy remains a key indicator in drug efficacy testing performed in the context of
clinical trials for monitoring existing antimalarials or in the context of regulatory
clinical trials for registration of new drugs. It is one of the main diagnostic methods for
malaria diagnosis in general, as in an ideal setting it can provide low-cost accurate
diagnosis, determine the density of parasites in the blood, and accurately differentiate
between different malaria parasite species, characteristics vital to the implementation of
global plans for drug efficacy monitoring. Malaria rapid tests (RDTs), while useful for case
management, do not provide information on the parasite density nor the species
differentiation necessary for research and drug efficacy assessment. Microscopy therefore
retains key advantages over a number of newer technologies, but its reliability is severely
impeded by dependence on high technical competence of the human operators as well as
availability of high quality equipment and reagents. Recent studies have demonstrated the
frequent poor specificity and sensitivity associated with manual microscopy diagnostics in
operational conditions , , . Advances in digital microscopy performance and affordability
have now opened the door to potentially significant improvements in the performance of
malaria diagnostic microscopy, overcoming serious deficiencies in current drug efficacy
assessment, and more broadly in malaria diagnosis and management.
Intellectual Ventures Laboratory (IVL), in collaboration with Global Good Fund (GG), has
developed an initial microscope prototype to support its research into dark field imaging of
unstained malaria slides. The system consists of low cost electromechanical components for
scanning a standard slide, an optical train with a high numerical aperture objective, and an
image capture system. Captured images are analyzed with custom image analysis software
developed at GG/IVL, using algorithms that are designed for automatic malaria diagnosis,
without user input. Additionally, image processing algorithms have been built around
detection of Giemsa-stained malaria slides which is the current standard for malaria
microscopy. Initial results show excellent potential for sensitivity and specificity which
exceeds that of typical manual microscopists in the field. Based on the positive market and
needs assessment in January, 2013, given by stakeholders in the malaria diagnostics
community, GG/IVL are pursuing improvement and integration of this algorithm into a portable
microscope platform with characteristics similar to the prototype microscope already
developed at GG/IVL for dark field imaging. The prototype Autoscope was first tested in field
settings in Thailand in Nov 2014 - Jan 2015 at clinics operated by the Shoklo Malaria
Research Unit (SMRU). The goal of the first field evaluation was to assess the Autoscope in
with respect to its diagnostic performance and also its suitability for harsh conditions
typically encountered in field clinics. Further, user feedback on the design and
functionality was sought. The Autoscope and the accompanying image analysis algorithms have
since been further developed and a new version is now available for testing.
| Status | Completed |
| Enrollment | 793 |
| Est. completion date | July 19, 2017 |
| Est. primary completion date | July 19, 2017 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 6 Months to 75 Years |
| Eligibility |
Inclusion Criteria: - Male or female subjects, age = 6 months to 75 years - Febrile at presentation or reported within the last 48 hours (>37.5 ºC) and no other obvious diagnosis cause for fever, warranting malaria investigation under routine clinical practice. - Individual informed assent/consent obtained Exclusion Criteria: - Signs of severe malaria as defined by WHO |
| Country | Name | City | State |
|---|---|---|---|
| n/a | |||
| Lead Sponsor | Collaborator |
|---|---|
| University of Oxford |
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Diagnostic sensitivity for malaria parasite detection | 6 months | ||
| Primary | Diagnostic specificity for malaria parasite detection | 6 months | ||
| Secondary | kappa statistic for parasite species detection | 6 months | ||
| Secondary | Bland-Altman plots for parasite density estimation | 6 months |
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