ArticleProceedings of the National Academy of Sciences of the United States of America2022
Portable, handheld, and affordable blood perfusion imager for screening of subsurface cancer in resource-limited settings.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Performance of Oral Cavity Sensors: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Liquid crystal thermography for breast cancer detection: principles, current evidence, limitations, and future directions.Journal of the Egyptian National Cancer Institute · 2026Review
- Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026Review
- Infrared thermography in clinical practice: a literature review.European journal of medical research · 2025Review
- Emerging strategies to investigate the biology of early cancer.Nature reviews. Cancer · 2024Review
- Breast cancer detection using enhanced IRI-numerical engine and inverse heat transfer modeling: model description and clinical validation.Scientific reports · 2024Article
- Optical imaging for screening and early cancer diagnosis in low-resource settings.Nature reviews bioengineering · 2024Article
- Viewing life without labels under optical microscopes.Communications biology · 2023Review
- Correlations between schizophrenia and lichen planus: a two-sample bidirectional Mendelian randomization study.Frontiers in psychiatry · 2023Article
- Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precise information on localized variations in blood circulation holds the key for noninvasive diagnostics and therapeutic assessment of various forms of cancer. While thermal imaging by itself may provide significant insights on the combined implications of the relevant physiological parameters, viz. local blood perfusion and metabolic balance due to active tumors as well as the ambient conditions, knowledge of the tissue surface temperature alone may be somewhat inadequate in distinguishing between some ambiguous manifestations of precancer and cancerous lesions, resulting in compromise of the selectivity in detection. This, along with the lack of availability of a user-friendly and inexpensive portable device for thermal-image acquisition, blood perfusion mapping, and data integration acts as a deterrent against the emergence of an inexpensive, contact-free, and accurate in situ screening and diagnostic approach for cancer detection and management. Circumventing these constraints, here we report a portable noninvasive blood perfusion imager augmented with machine learning-based quantitative analytics for screening precancerous and cancerous traits in oral lesions, by probing the localized alterations in microcirculation. With a proven overall sensitivity >96.66% and specificity of 100% as compared to gold-standard biopsy-based tests, the method successfully classified oral cancer and precancer in a resource-limited clinical setting in a double-blinded patient trial and exhibited favorable predictive capabilities considering other complementary modes of medical image analysis as well. The method holds further potential to achieve contrast-free, accurate, and low-cost diagnosis of abnormal microvascular physiology and other clinically vulnerable conditions, when interpreted along with complementary clinically evidenced decision-making perspectives.
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