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Multispectral tissue mapping: developing a concept for the optical evaluation of liver disease
Crispin Schneider1, Daniil Nikitichev2,3, Wenfeng Xia2,3
1University College London, Division of Surgery and Interventional Science, Royal Free Campus, London, United Kingdom.
Journal of Medical Imaging (Bellingham, Wash.)
|December 30, 2020
Summary
Multispectral tissue mapping (MTM) shows promise for detecting liver cancer during surgery. This non-invasive imaging technique analyzes optical absorption to differentiate between cancerous and healthy liver tissue.
Area of Science:
- Medical Imaging
- Optical Spectroscopy
- Surgical Technology
Background:
- Pathological changes in liver tissue alter optical absorption, detectable via multispectral analysis.
- Current imaging methods for liver surgery are often invasive or limited in spectral range.
- Multispectral imaging (MSI) offers a non-invasive approach to assess tissue optical properties.
Purpose of the Study:
- To develop and validate a novel multispectral imaging (MSI) method, termed multispectral tissue mapping (MTM), for liver surgery.
- To address limitations of existing methods by enabling non-invasive, broad-spectrum spectral analysis.
- To evaluate MTM's potential for distinguishing cancerous liver tissue from healthy tissue and steatosis.
Main Methods:
- Developed an MSI system using a tunable light source and a near-infrared camera.
- Acquired absorption spectra from colorectal cancer liver metastasis (CRLM), hepatocellular carcinoma (HCC), and steatotic liver specimens.
- Utilized generalized linear mixed modeling for pixel-based spectral analysis and false color image enhancement.
Main Results:
- Distinct absorption spectra were identified for different liver tissue types, confirming MTM feasibility.
- A lipid absorption peak at 1210 nm was observed in steatotic liver tissue.
- MSI revealed heterogeneous patterns in liver cancer, with specific spectral signatures for CRLM (1100-1700 nm) and HCC (around 1140 and 1430 nm).
Conclusions:
- Demonstrated the capability of a no-touch MSI system operating from 1100 to 1700 nm.
- Preliminary results indicate MTM can estimate the probability of cancer presence on a pixel basis.
- MTM shows potential as an advanced imaging tool for intraoperative liver cancer detection.
