2022
DOI: 10.1177/00037028221116083
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Predicting the Likelihood of Colorectal Cancer with Artificial Intelligence Tools Using Fourier Transform Infrared Signals Obtained from Tumor Samples

Abstract: Background: The early and accurate detection of colorectal cancer (CRC) significantly affects its prognosis and clinical management. However, current standard diagnostic procedures for CRC often lack sensitivity and specificity since most rely on visual examination. Hence, there is a need to develop more accurate methods for its diagnosis. Methods: Support vector machine (SVM) and feedforward neural network (FNN) models were designed using the Fourier-transform infrared (FTIR) spectral data of several colorect… Show more

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Cited by 3 publications
(2 citation statements)
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“…Several studies have proven the potential use of FTIR spectroscopy in distinguishing cancerous from healthy tissues with high sensitivity, specificity, and accuracy [10][11][12][13][14].This technique not only enhances the accuracy and reproducibility of cancer diagnosis, but it also significantly reduces the processing time required for tissue analysis. Besides tissues, it can also be used for other biological materials like blood, urine, bladder wash, bile, and sputum [9].…”
Section: Blood-based Ftir Spectroscopy As a Minimally Invasive Diagno...mentioning
confidence: 99%
See 1 more Smart Citation
“…Several studies have proven the potential use of FTIR spectroscopy in distinguishing cancerous from healthy tissues with high sensitivity, specificity, and accuracy [10][11][12][13][14].This technique not only enhances the accuracy and reproducibility of cancer diagnosis, but it also significantly reduces the processing time required for tissue analysis. Besides tissues, it can also be used for other biological materials like blood, urine, bladder wash, bile, and sputum [9].…”
Section: Blood-based Ftir Spectroscopy As a Minimally Invasive Diagno...mentioning
confidence: 99%
“…FTIR spectroscopy, in combination with statistical and machine learning algorithms, effectively overcomes the challenges posed by the intricacies of biomolecular profiles. This approach allows the analysis of spectral data to uncover chemicophysical changes that occur as healthy biological samples transition to a pathological state [14][15][16]. The effectiveness of this technology in differentiating malignancies from benign and healthy biological samples has led to the development of the term "spectral biomarkers," which refer to the recognizable peaks and clustering patterns found in the infrared fingerprint region [12].…”
Section: Blood-based Ftir Spectroscopy As a Minimally Invasive Diagno...mentioning
confidence: 99%