ArticleTheScientificWorldJournal2012
Identification of colitis and cancer in colon biopsies by Fourier Transform Infrared spectroscopy and chemometrics.
Article in TheScientificWorldJournal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Fourier-Transform Infra-Red Microspectroscopy Can Accurately Diagnose Colitis and Assess Severity of Inflammation.International journal of molecular sciences · 2022Article
- Simultaneous bioremediation of cationic copper ions and anionic methyl orange azo dye by brown marine alga Fucus vesiculosus.Scientific reports · 2021Article
- Resolution of Cox mediated inflammation by Se supplementation in mouse experimental model of colitis.PloS one · 2018Article
- Colorectal Cancer and Colitis Diagnosis Using Fourier Transform Infrared Spectroscopy and an Improved K-Nearest-Neighbour Classifier.Sensors (Basel, Switzerland) · 2017Article
- Raman spectroscopy of endoscopic colonic biopsies from patients with ulcerative colitis to identify mucosal inflammation and healing.Biomedical optics express · 2016Article
- Extracting knowledge from chemical imaging data using computational algorithms for digital cancer diagnosis.The Yale journal of biology and medicine · 2015Review
- Discrimination of Human Cell Lines by Infrared Spectroscopy and Mathematical Modeling.Iranian journal of pharmaceutical research : IJPR · 2015Article
- Fourier transform infrared spectroscopy: a potential technique for noninvasive detection of spermatogenesis.Avicenna journal of medical biotechnology · 2014Article
- Detection of gastric cancer with Fourier transform infrared spectroscopy and support vector machine classification.BioMed research international · 2013Article
- Integration of datasets from different analytical techniques to assess the impact of nutrition on human metabolome.Frontiers in cellular and infection microbiology · 2012Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is a disease that does great harms to the health of human beings. FT-IR spectroscopy could identify variability at the molecular level in biological specimens. It is a rapid and noninvasive method, which could be used intraoperatively to modify surgical procedures. The aim of this paper is to identify and separate cancer from colitis in endoscopic colon biopsies through the use of FT-IR spectroscopy. A total of 88 endoscopic colon samples, including 41 cases of colitis and 47 cases of colon cancer, were obtained. Specimens were placed on an ATR accessory linked to FT-IR spectrometer with a MCT detector for greater stability and sensitivity. Later, specimens were sent for the histological examination as the reference in the spectral analysis. 41 colitis and 47 cancer specimens were compared. Spectra preprocessed with smoothing and normalization were used for discrimination analysis. PCA was processed to simplify the spectrum data set. Naive Bayes classifier model was constructed for diagnostic classification. Leave-one-out cross-validation method was utilized to assess the discrimination results. The sensitivity of FT-IR detection for cancer achieves 97.6%. The results showed that colon cancer could be distinguished from colitis with high accuracy using FT-IR spectroscopy and chemometrics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.