Globalization of a telepathology network with artificial intelligence applications in Colombia: The GLORIA program study protocol

In Colombia, cancer is recognized as a high-cost pathology by the national government and the Colombian High-Cost Disease Fund. As of 2020, the situation is most critical for adult cancer patients, particularly those under public healthcare and residing in remote regions of the country. The highest lag time for a diagnosis was observed for cervical cancer (79.13 days), followed by prostate (77.30 days), and breast cancer (70.25 days). Timely and accurate histopathological reporting plays a vital role in the diagnosis of cancer. In recent years, digital pathology has been globally implemented as a technological tool in two main areas: telepathology (TP) and computational pathology. TP has been shown to improve rapid and timely diagnosis in anatomic pathology by facilitating interaction between general laboratories and specialized pathologists worldwide through information and telecommunication technologies. Computational pathology provides diagnostic and prognostic assistance based on histopathological patterns, molecular, and clinical information, aiding pathologists in making more accurate diagnoses. We present the study protocol of the GLORIA digital pathology network, a pioneering initiative, and national grant-approved program aiming to design and pilot a Colombian digital pathology transformation focused on TP and computational pathology, in response to the general needs of pathology laboratories for diagnosing complex malignant tumors. The study protocol describes the design of a TP network to expand oncopathology services across all Colombian regions. It also describes an artificial intelligence proposal for lung cancer, one of Colombia's most prevalent cancers, and a freely accessible national histopathological image database to facilitate image analysis studies. National Digital Pathology network including Whole Slide Imaging Telepathology System and database for Artificial Intelligence (AI) models. SDC: Satellite Digitization Center COE: Center of excellence. • The GLORIA program marks a significant milestone in Latin American Digital Pathology. • GLORIA integrates public and private healthcare systems to address pathologist shortage. • The performance evaluation will be through a novel qualitative and quantitative method study.

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Publication Details

Journal
Journal of Pathology Informatics
Published
2024-08-15
DOI
https://doi.org/10.1016/j.jpi.2024.100394
Citations
8
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
2.78

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article

Globalization of a telepathology network with artificial intelligence applications in Colombia: The GLORIA program study protocol

Emiel A. M. Janssen, Liron Pantanowitz, Rafael Parra‐Medina, John Jaime Sprockel Díaz et al.
8 citations
Journal of Pathology Informatics
AI in cancer detection
2.78
article

Globalization of a telepathology network with artificial intelligence applications in Colombia: The GLORIA program study protocol

Emiel A. M. Janssen, Liron Pantanowitz, Rafael Parra‐Medina, John Jaime Sprockel Díaz, Andrés Mosquera‐Zamudio, Marcela Gomez-Suarez, Julián C. Riaño-Moreno
article en
8 citations

Abstract

In Colombia, cancer is recognized as a high-cost pathology by the national government and the Colombian High-Cost Disease Fund. As of 2020, the situation is most critical for adult cancer patients, particularly those under public healthcare and residing in remote regions of the country. The highest lag time for a diagnosis was observed for cervical cancer (79.13 days), followed by prostate (77.30 days), and breast cancer (70.25 days). Timely and accurate histopathological reporting plays a vital role in the diagnosis of cancer. In recent years, digital pathology has been globally implemented as a technological tool in two main areas: telepathology (TP) and computational pathology. TP has been shown to improve rapid and timely diagnosis in anatomic pathology by facilitating interaction between general laboratories and specialized pathologists worldwide through information and telecommunication technologies. Computational pathology provides diagnostic and prognostic assistance based on histopathological patterns, molecular, and clinical information, aiding pathologists in making more accurate diagnoses. We present the study protocol of the GLORIA digital pathology network, a pioneering initiative, and national grant-approved program aiming to design and pilot a Colombian digital pathology transformation focused on TP and computational pathology, in response to the general needs of pathology laboratories for diagnosing complex malignant tumors. The study protocol describes the design of a TP network to expand oncopathology services across all Colombian regions. It also describes an artificial intelligence proposal for lung cancer, one of Colombia's most prevalent cancers, and a freely accessible national histopathological image database to facilitate image analysis studies. National Digital Pathology network including Whole Slide Imaging Telepathology System and database for Artificial Intelligence (AI) models. SDC: Satellite Digitization Center COE: Center of excellence. • The GLORIA program marks a significant milestone in Latin American Digital Pathology. • GLORIA integrates public and private healthcare systems to address pathologist shortage. • The performance evaluation will be through a novel qualitative and quantitative method study.

Journal of Pathology InformaticsVol. 15
Universitat de València (ES), Stavanger University Hospital (NO), Instituto Nacional de Cancerología (CO), Fundación Universitaria de Ciencias de la Salud (CO), University of Pittsburgh Medical Center (US), Universidad Cooperativa de Colombia (CO)
Universidad Cooperativa de ​Colo​mb​ia, Faculty of Medicine, Dalhousie University, Program for Nonferrous Metals Vacuum Metallurgy Innovation Team of Ministry of Science and Technology
Openalex Percentile: Top 8%
AI in cancer detection
2.78
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