Advances in technologies for cervical cancer detection in low-resource settings
Autor: | Kathryn Kundrod, Richard A. Schwarz, Chelsey A. Smith, Brady Hunt, Rebecca Richards-Kortum, Kathleen M. Schmeler |
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Rok vydání: | 2019 |
Předmět: |
0301 basic medicine
medicine.medical_specialty Decision support system Emerging technologies Low resource Single visit Point-of-care testing Uterine Cervical Neoplasms Sensitivity and Specificity Article Pathology and Forensic Medicine 03 medical and health sciences 0302 clinical medicine Genetics medicine Humans Mass Screening Intensive care medicine Molecular Biology Early Detection of Cancer Cervical cancer Routine screening business.industry Cancer medicine.disease 030104 developmental biology Point-of-Care Testing 030220 oncology & carcinogenesis Health Resources Molecular Medicine Female business Biomarkers |
Zdroj: | Expert Rev Mol Diagn |
ISSN: | 1744-8352 1473-7159 |
DOI: | 10.1080/14737159.2019.1648213 |
Popis: | INTRODUCTION: Cervical cancer mortality rates remain high in low- and middle-income countries (LMICs) and other medically underserved areas due to challenges with implementation and sustainability of routine screening, accurate diagnosis, and early treatment of preinvasive lesions. AREAS COVERED: In this review, we first discuss the standard of care for cervical cancer screening and diagnosis in high- and low-resource settings, biomarkers that correlate to cervical precancer and cancer, and needs for new tests. We review technologies for screening and diagnosis with a focus on tests that are already in use in LMICs or have the potential to be adapted for use in LMICs. Finally, we provide perspectives on the next five years of technology development for improved cervical cancer screening and diagnosis in LMICs. EXPERT OPINION: Innovation toward improved molecular and imaging tests is needed to enable effective, affordable see-and-treat approaches to detect and treat cervical precancer in a single visit. Current molecular tests remain too complex and/or costly for widespread use. Especially with imaging tests, decision support may improve performance of new technologies. |
Databáze: | OpenAIRE |
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