ArticleBioMed research international2015
Near-infrared spectroscopy as a diagnostic tool for distinguishing between normal and malignant colorectal tissues.
Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Emerging Nanotheranostics for 5-Fluorouracil in Cancer Therapy: A Systematic Review on Efficacy, Safety, and Diagnostic Capability.Frontiers in pharmacology · 2022Pooled it
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- NIR-II fluorescence in lung cancer: advancing precision diagnosis and image-guided therapy.Frontiers in chemistry · 2025Review
- Targeted FT-NIR and SERS Detection of Breast Cancer HER-II Biomarkers in Blood Serum Using PCB-Based Plasmonic Active Nanostructured Thin Film Label-Free Immunosensor Immobilized with Directional GNU-Conjugated Antibody.Sensors (Basel, Switzerland) · 2024Article
- Extraction of a Triterpene Solution and Evaluation of the Hypolipidemic Efficacy of theFoods (Basel, Switzerland) · 2022Article
- Machine learning applied to near-infrared spectra for clinical pleural effusion classification.Scientific reports · 2021Article
- Effectiveness of near-infrared spectroscopy as a non-invasive tool to discriminate spectral profiles ofAnimal reproduction · 2021Article
- Near-Infrared Spectroscopy in Bio-Applications.Molecules (Basel, Switzerland) · 2020Review
- Preliminary Study on the Identification of BRAFOncoTargets and therapy · 2020Article
- Optimizing algorithm development for tissue classification in colorectal cancer based on diffuse reflectance spectra.Biomedical optics express · 2019Article
- Effects of isoflurane anesthesia on physiological parameters in murine subcutaneous tumor allografts measured via diffuse reflectance spectroscopy.Biomedical optics express · 2018Article
- An Automated Preprocessing Method for Diffuse Optical Tomography to Improve Breast Cancer Diagnosis.Technology in cancer research & treatment · 2018Article
- Molecular and structural changes induced by essential oil treatments in Vicia faba roots detected by FTIR and FTNIR spectroscopy.Environmental science and pollution research international · 2017Article
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Authors and funding
5 authors.
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Abstract
Cancer diagnosis is one of the most important tasks of biomedical research and has become the main objective of medical investigations. The present paper proposed an analytical strategy for distinguishing between normal and malignant colorectal tissues by combining the use of near-infrared (NIR) spectroscopy with chemometrics. The successive projection algorithm-linear discriminant analysis (SPA-LDA) was used to seek a reduced subset of variables/wavenumbers and build a diagnostic model of LDA. For comparison, the partial least squares-discriminant analysis (PLS-DA) based on full-spectrum classification was also used as the reference. Principal component analysis (PCA) was used for a preliminary analysis. A total of 186 spectra from 20 patients with partial colorectal resection were collected and divided into three subsets for training, optimizing, and testing the model. The results showed that, compared to PLS-DA, SPA-LDA provided more parsimonious model using only three wavenumbers/variables (4065, 4173, and 5758 cm(-1)) to achieve the sensitivity of 84.6%, 92.3%, and 92.3% for the training, validation, and test sets, respectively, and the specificity of 100% for each subset. It indicated that the combination of NIR spectroscopy and SPA-LDA algorithm can serve as a potential tool for distinguishing between normal and malignant colorectal tissues.
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