Open Access
5 November 2013 High-speed spectral nanocytology for early cancer screening
John E. Chandler, Hariharan Subramanian, Charles D. Maneval, Craig A. White, Richard M. Levenson M.D., Vadim Backman
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Abstract
High-throughput partial wave spectroscopy (HTPWS) is introduced as a high-speed spectral nanocytology technique that utilizes the field effect of carcinogenesis to perform minimally invasive cancer screening on at-risk populations. HTPWS uses fully automated hardware and an acousto-optic tunable filter to scan slides at low magnification, to select cells, and to rapidly acquire spectra at each spatial pixel in a cell between 450 and 700 nm, completing measurements of 30 cells in 40 min. Statistical quantitative analysis on the size and density of intracellular nanostructures extracted from the spectra at each pixel in a cell yields the diagnostic biomarker, disorder strength (L d ). Linear correlation between L d and the length scale of nanostructures was measured in phantoms with R 2 =0.93 . Diagnostic sensitivity was demonstrated by measuring significantly higher L d from a human colon cancer cell line (HT29 control vector) than a less aggressive variant (epidermal growth factor receptor knockdown). Clinical diagnostic performance for lung cancer screening was tested on 23 patients, yielding a significant difference in L d between smokers and cancer patients, p=0.02 and effect size=1.00 . The high-throughput performance, nanoscale sensitivity, and diagnostic sensitivity make HTPWS a potentially clinically relevant modality for risk stratification of the large populations at risk of developing cancer.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
John E. Chandler, Hariharan Subramanian, Charles D. Maneval, Craig A. White, Richard M. Levenson M.D., and Vadim Backman "High-speed spectral nanocytology for early cancer screening," Journal of Biomedical Optics 18(11), 117002 (5 November 2013). https://doi.org/10.1117/1.JBO.18.11.117002
Published: 5 November 2013
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CITATIONS
Cited by 17 scholarly publications.
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KEYWORDS
Cancer

Diagnostics

Lung cancer

Spectroscopy

Algorithm development

Cameras

Cervical cancer

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