Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 821

The DOI matches its Crossref record.

Near‐infrared Raman spectroscopy for optical diagnosis of lung cancer

Huang, Zhiwei, McWilliams, Annette, Lui, Harvey, McLean, David I., Lam, Stephen, Zeng, Haishan·2003·International Journal of 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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/ijc.11500

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 821

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.