IR Spectroscopy and Linear Support Vector Machine Analysis of Colorectal Liver Metastasis

The Colorectal Liver Metastasis (CLM) library contains 756,096 full range Fourier transform infrared (FTIR) microscope imaging spectra of 14 frozen tissue sections from 7 different consenting patients with liver metastasis of colorectal origin. A subset of 30 windows was defined in predominant tumor or nontumor regions for the training or testing of linear support vector machine (SVM) models. Since the number of consenting patients was small, the primary purpose of this work was to establish a physical chemistry perspective on the infrared (IR) spectroscopy of metastatic liver cancer using the large number of available spectra. The linear SVM model was trained with a Leave-One-Case-Out strategy to avoid case leakage, minimize overtraining, and offer simple feature selection. The primary result is the derivation and measurement of a spectral form for the average contribution to the tumor/nontumor decision at each spectral step, i.e., the "Decision Contribution Spectrum". Finally, the results are used toward the design of a fast mid-IR cancer probe for the operating room giving quick tumor decisions despite a reduced range of wavenumbers and an increased interval between wavenumber steps as compared to the FTIR input spectral data.

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Publication Details

Journal
The Journal of Physical Chemistry B
Published
2026-02-02
DOI
https://doi.org/10.1021/acs.jpcb.5c07859
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
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article

IR Spectroscopy and Linear Support Vector Machine Analysis of Colorectal Liver Metastasis

Rebecca C. Bradley, Steven V. Nystrom, Charles L. Hitchcock, James V. Coe et al.
The Journal of Physical Chemistry B
Spectroscopy Techniques in Biomedical and Chemical Research
article

IR Spectroscopy and Linear Support Vector Machine Analysis of Colorectal Liver Metastasis

Rebecca C. Bradley, Steven V. Nystrom, Charles L. Hitchcock, James V. Coe, Martin Ew, Heather C. Allen, Zhaomin Chen, Ran Li, Susan Kalliantas, Samantha A. Skarda, Destiny G. Wilson, Trina D. Orr, Antrae L. Wilson II
article en

Abstract

The Colorectal Liver Metastasis (CLM) library contains 756,096 full range Fourier transform infrared (FTIR) microscope imaging spectra of 14 frozen tissue sections from 7 different consenting patients with liver metastasis of colorectal origin. A subset of 30 windows was defined in predominant tumor or nontumor regions for the training or testing of linear support vector machine (SVM) models. Since the number of consenting patients was small, the primary purpose of this work was to establish a physical chemistry perspective on the infrared (IR) spectroscopy of metastatic liver cancer using the large number of available spectra. The linear SVM model was trained with a Leave-One-Case-Out strategy to avoid case leakage, minimize overtraining, and offer simple feature selection. The primary result is the derivation and measurement of a spectral form for the average contribution to the tumor/nontumor decision at each spectral step, i.e., the "Decision Contribution Spectrum". Finally, the results are used toward the design of a fast mid-IR cancer probe for the operating room giving quick tumor decisions despite a reduced range of wavenumbers and an increased interval between wavenumber steps as compared to the FTIR input spectral data.

The Journal of Physical Chemistry BVol. 130(6)
The Ohio State University (US)
Good health and well-being
Openalex Percentile: Top 73%
Spectroscopy Techniques in Biomedical and Chemical Research
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