The DOI matches its Crossref record.
Near‐infrared Raman spectroscopy for optical diagnosis of lung cancer
Abstract
Raman spectroscopy is a vibrational spectroscopic technique that can be used to optically probe the molecular changes associated with diseased tissues. The objective of our study was to explore near‐infrared (NIR) Raman spectroscopy for distinguishing tumor from normal bronchial tissue. Bronchial tissue specimens (12 normal, 10 squamous cell carcinoma (SCC) and 6 adenocarcinoma) were obtained from 10 patients with known or suspected malignancies of the lung. A rapid‐acquisition dispersive‐type NIR Raman spectroscopy system was used for tissue Raman studies at 785 nm excitation. High‐quality Raman spectra in the 700–1,800 cm–1 range from human bronchial tissues in vitro could be obtained within 5 sec. Raman spectra differed significantly between normal and malignant tumor tissue, with tumors showing higher percentage signals for nucleic acid, tryptophan and phenylalanine and lower percentage signals for phospholipids, proline and valine, compared to normal tissue. Raman spectral shape differences between normal and tumor tissue were also observed particularly in the spectral ranges of 1,000–1,100, 1,200–1,400 and 1,500–1,700 cm–1, which contain signals related to protein and lipid conformations and nucleic acid's CH stretching modes. The ratio of Raman intensities at 1,445 to 1,655 cm–1 provided good differentiation between normal and malignant bronchial tissue (p < 0.0001). The results of this exploratory study indicate that NIR Raman spectroscopy provides significant potential for the noninvasive diagnosis of lung cancers in vivo based on the optic evaluation of biomolecules. © 2003 Wiley‐Liss, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Raman Spectroscopy of Biological Tissues
Movasaghi, Z., Rehman, S., & Rehman, I. U. (2007) · Applied Spectroscopy Reviews · doi:10.1080/05704920701551530 · Cited by 2,518
Histopathological Image Analysis: A Review
Gurcan, M. N., Boucheron, L. E., Can, A., Madabhushi, A., Rajpoot, N. M., & Yener, B. (2009) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2009.2034865 · Cited by 2,052
Using Raman spectroscopy to characterize biological materials
Butler, H. J., Ashton, L., Bird, B., Cinque, G., Curtis, K., Dorney, J., Esmonde-White, K., Fullwood, N. J., Gardner, B., Martin-Hirsch, P. L., et al. (2016) · Nature Protocols · doi:10.1038/nprot.2016.036 · Cited by 1,309
Raman Techniques: Fundamentals and Frontiers
Jones, R. R., Hooper, D. C., Zhang, L., Wolverson, D., & Valev, V. K. (2019) · Nanoscale Research Letters · doi:10.1186/s11671-019-3039-2 · Cited by 804
Advances in Fourier transform infrared (FTIR) spectroscopy of biological tissues
Talari, A. C. S., Martinez, M. A. G., Movasaghi, Z., Rehman, S., & Rehman, I. U. (2017) · Applied Spectroscopy Reviews · doi:10.1080/05704928.2016.1230863 · Cited by 533
Metadata
- Authors
- Huang, Z., McWilliams, A., Lui, H., McLean, D. I., Lam, S., & Zeng, H.
- Venue
- International Journal of Cancer
- Publisher
- Wiley
- Published
- 2003-09-18
- Volume
- 107
- Issue
- 6
- Pages
- 1047-1052
- ISSN
- 0020-7136 (ISSN-L)
- 1097-0215
- OpenAlex
- W2097358067
- Cited by
- 821
- References
- 0
- FWCI
- 6.01
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Near‐infrared Raman spectroscopy for optical diagnosis of lung cancer. https://app.cochat.ai/papers/10.1002/ijc.11500
- The paper
- Huang, Z., McWilliams, A., Lui, H., McLean, D. I., Lam, S., & Zeng, H. (2003). Near‐infrared Raman spectroscopy for optical diagnosis of lung cancer. International Journal of Cancer. https://doi.org/10.1002/ijc.11500
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.