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Lin L, Dacal E, Díez N, Carmona C, Martin Ramirez A, Barón Argos L, Bermejo-Peláez D, Caballero C, Cuadrado D, Darias-Plasencia O, García-Villena J, Bakardjiev A, Postigo M, Recalde-Jaramillo E, Flores-Chavez M, Santos A, Ledesma-Carbayo MJ, Rubio JM, Luengo-Oroz M. Edge Artificial Intelligence (AI) for real-time automatic quantification of filariasis in mobile microscopy. PLoS Negl Trop Dis 2024; 18:e0012117. [PMID: 38630833 PMCID: PMC11057975 DOI: 10.1371/journal.pntd.0012117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 04/29/2024] [Accepted: 03/29/2024] [Indexed: 04/19/2024] Open
Abstract
Filariasis, a neglected tropical disease caused by roundworms, is a significant public health concern in many tropical countries. Microscopic examination of blood samples can detect and differentiate parasite species, but it is time consuming and requires expert microscopists, a resource that is not always available. In this context, artificial intelligence (AI) can assist in the diagnosis of this disease by automatically detecting and differentiating microfilariae. In line with the target product profile for lymphatic filariasis as defined by the World Health Organization, we developed an edge AI system running on a smartphone whose camera is aligned with the ocular of an optical microscope that detects and differentiates filarias species in real time without the internet connection. Our object detection algorithm that uses the Single-Shot Detection (SSD) MobileNet V2 detection model was developed with 115 cases, 85 cases with 1903 fields of view and 3342 labels for model training, and 30 cases with 484 fields of view and 873 labels for model validation before clinical validation, is able to detect microfilariae at 10x magnification and distinguishes four species of them at 40x magnification: Loa loa, Mansonella perstans, Wuchereria bancrofti, and Brugia malayi. We validated our augmented microscopy system in the clinical environment by replicating the diagnostic workflow encompassed examinations at 10x and 40x with the assistance of the AI models analyzing 18 samples with the AI running on a middle range smartphone. It achieved an overall precision of 94.14%, recall of 91.90% and F1 score of 93.01% for the screening algorithm and 95.46%, 97.81% and 96.62% for the species differentiation algorithm respectively. This innovative solution has the potential to support filariasis diagnosis and monitoring, particularly in resource-limited settings where access to expert technicians and laboratory equipment is scarce.
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Affiliation(s)
- Lin Lin
- Spotlab, Madrid, Spain
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Madrid, Spain
| | | | | | - Claudia Carmona
- Malaria and Emerging Parasitic Diseases Laboratory, National Microbiology Centre, Instituto de Salud Carlos III—Madrid, Madrid, Spain
| | - Alexandra Martin Ramirez
- Malaria and Emerging Parasitic Diseases Laboratory, National Microbiology Centre, Instituto de Salud Carlos III—Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC) Instituto de Salud Carlos III—Madrid, Madrid, Spain
| | - Lourdes Barón Argos
- Malaria and Emerging Parasitic Diseases Laboratory, National Microbiology Centre, Instituto de Salud Carlos III—Madrid, Madrid, Spain
| | | | | | | | | | | | | | | | - Ethan Recalde-Jaramillo
- Spotlab, Madrid, Spain
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Madrid, Spain
| | - Maria Flores-Chavez
- Malaria and Emerging Parasitic Diseases Laboratory, National Microbiology Centre, Instituto de Salud Carlos III—Madrid, Madrid, Spain
- Fundación Mundo Sano, Madrid, Spain
| | - Andrés Santos
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Madrid, Spain
| | - María Jesús Ledesma-Carbayo
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
- CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Madrid, Spain
| | - José M. Rubio
- Malaria and Emerging Parasitic Diseases Laboratory, National Microbiology Centre, Instituto de Salud Carlos III—Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC) Instituto de Salud Carlos III—Madrid, Madrid, Spain
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Portela CS, Mendes de Araújo CP, Moura Sousa P, Gomes Simão CL, Silva de Oliveira JC, Crainey JL. Filarial disease in the Brazilian Amazon and emerging opportunities for treatment and control. CURRENT RESEARCH IN PARASITOLOGY & VECTOR-BORNE DISEASES 2023; 5:100168. [PMID: 38283060 PMCID: PMC10821485 DOI: 10.1016/j.crpvbd.2023.100168] [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: 08/04/2023] [Revised: 12/06/2023] [Accepted: 12/15/2023] [Indexed: 01/30/2024]
Abstract
Following the successful eradication of Wuchereria bancrofti, there are now just three species of conventional microfilaremic human filarial parasites endemic to the Brazilian Amazon region: Mansonella ozzardi, Mansonella perstans and Onchocerca volvulus. The zoonotic filarial parasite Dirofilaria immitis is also found in the Amazon region as are several sylvatic filarial parasites, some of which have been recorded causing zoonoses and some of which have never been recorded outside the region. Onchocerca volvulus is only found in the Amazonia onchocerciasis focus in the Brazilian state of Roraima where it affects the people of the Yanomami tribe living around the densely forested Venezuela border region. Mansonella ozzardi is by far the most common filarial parasite in Brazil and has a broad but patchy distribution throughout the western Amazon region. Recorded in the Brazilian states of Acre, Roraima, Matto Grosso, and within almost every municipality of Amazonas state, it is believed that pollution of the urban stream and river systems prevents the development of the simuliid vectors of M. ozzardi and explains the parasite's reduced distribution within urban areas and an absence of recent reports from the state capital Manaus. Decades of WHO-led periodic ivermectin treatment of Yanomami tribe's people have resulted in the partial suppression of O. volvulus transmission in this focus and has also probably affected the transmission of M. ozzardi in the region. Mansonella perstans, O. volvulus and very probably M. ozzardi infections can all be treated and most likely cured with a 4-6-week treatment course of doxycycline. The Brazilian Ministry of Health does not, however, presently recommend any treatment for mansonellosis infections and thus parasitic infections outside the Amazonia focus are typically left untreated. While the long treatment courses required for doxycycline-based mansonellosis therapies preclude their use in control programmes, new fast-acting filarial drug treatments are likely to soon become available for the treatment of both onchocerciasis and mansonellosis in the Amazon region. Filarial disease management in the Brazilian Amazon is thus likely to become dramatically more viable at a time when the public health importance of these diseases is increasingly being recognized.
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Affiliation(s)
- Cleudecir Siqueira Portela
- Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz Amazônia, Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Manaus, Amazonas, Brazil
- Programa de Doutorado em Biologia da Interação Patógeno Hospedeiro, Instituto Leônidas e Maria Deane, Manaus, Amazonas, Brazil
| | - Cláudia Patrícia Mendes de Araújo
- Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz Amazônia, Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Manaus, Amazonas, Brazil
- Programa de Doutorado em Biologia da Interação Patógeno Hospedeiro, Instituto Leônidas e Maria Deane, Manaus, Amazonas, Brazil
| | - Patrícia Moura Sousa
- Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz Amazônia, Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Manaus, Amazonas, Brazil
- Programa de Doutorado em Biologia da Interação Patógeno Hospedeiro, Instituto Leônidas e Maria Deane, Manaus, Amazonas, Brazil
| | - Carla Letícia Gomes Simão
- Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz Amazônia, Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Manaus, Amazonas, Brazil
- Programa de Mestrado em Condições de Vida e Situações de Saúde na Amazônia, Instituto Leônidas e Maria Deane, Manaus, Amazonas, Brazil
| | - João Carlos Silva de Oliveira
- Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz Amazônia, Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Manaus, Amazonas, Brazil
- Programa de Doutorado em Saúde Pública na Amazônia, Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz Amazônia, Manaus, Amazonas, Brazil
| | - James Lee Crainey
- Instituto Leônidas e Maria Deane, Fundação Oswaldo Cruz Amazônia, Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Manaus, Amazonas, Brazil
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Kawashima A, Nomoto H, Takagi H, Hayakawa K, Komaki-Yasuda K, Kano S, Ohmagari N. Mansonella perstans infection in a Gabonese immigrant in Japan: an illustrative case of a clinical conundrum and management dilemma. J Travel Med 2023; 30:taad126. [PMID: 37788045 DOI: 10.1093/jtm/taad126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 09/18/2023] [Accepted: 09/21/2023] [Indexed: 10/04/2023]
Abstract
This report illustrates the complexities of diagnosis and treatment of Mansonella perstans infection in a Gabonese immigrant to Japan, underscoring the increasing need to consider such tropical infections due to increased global migration and highlighting the challenges of co-infection and drug resistance in management strategies.
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Affiliation(s)
- Akira Kawashima
- Disease Control and Prevention Center, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo 162-8655, Japan
| | - Hidetoshi Nomoto
- Disease Control and Prevention Center, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo 162-8655, Japan
| | - Hidekazu Takagi
- Department of Microbiology and Immunology, Aichi Medical University School of Medicine, Nagakute, Aichi 480-1195, Japan
| | - Kayoko Hayakawa
- Disease Control and Prevention Center, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo 162-8655, Japan
| | - Kanako Komaki-Yasuda
- Department of Tropical Medicine and Malaria, Research Institute, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo 162-8655, Japan
| | - Shigeyuki Kano
- Department of Tropical Medicine and Malaria, Research Institute, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo 162-8655, Japan
| | - Norio Ohmagari
- Disease Control and Prevention Center, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo 162-8655, Japan
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