Resonance Raman Spectroscopy for Cancer Tissue Classification
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Solution Overview
Problem
Current methods for diagnosing breast and brain cancer, such as mammography, ultrasonography, CT, and MRI, have limitations in sensitivity and accuracy, and lack information on molecular and cellular changes, necessitating the development of a more reliable and non-invasive detection technique.
Innovation Solution
A Resonance Raman spectroscopy method using laser wavelengths below 640 nm to detect RR vibrational modes of key molecules in tissues, enabling in vivo detection of cancerous regions by analyzing the intensity of RR peaks associated with C—H, C—C, C═C, CH2, CH3, N—H, C—N, C═O, and C—O bonds, combined with Bayes and SVM methods for classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional imaging methods (mammography, CT, MRI) are used for cancer diagnosis, then structural information can be obtained, but sensitivity and accuracy are limited and molecular information is lost
Solution Approach 1:
The patent replaces traditional mechanical/imaging-based diagnostic systems with a Raman spectroscopy system that uses laser excitation to probe molecular vibrations. This substitution enables direct detection of molecular composition and conformational changes in tissues, providing both structural and molecular information simultaneously with superior diagnostic accuracy for cancer detection
Solution Approach 2:
The patent utilizes changes in Raman spectral parameters (peak positions, intensities, and ratios) to detect molecular variations in cancerous versus normal tissues. By monitoring specific vibrational modes and their intensity ratios, the system can identify cancer-specific molecular signatures, thereby improving measurement precision while retaining molecular information
2Reliability
If invasive biopsy methods are used for diagnosis, then accurate tissue sampling can be obtained, but patient trauma and discomfort increase
Solution Approach 1:
The patent replaces invasive mechanical biopsy procedures with a non-invasive optical spectroscopy system. The Raman spectroscopy method uses laser light to probe tissue molecular composition without physical extraction or disruption of tissue, thereby maintaining diagnostic reliability through molecular fingerprinting while completely eliminating patient trauma associated with traditional biopsy
Solution Approach 2:
The patent introduces laser light as an intermediary probe that interacts with tissue molecules to extract diagnostic information. This optical intermediary enables indirect measurement of tissue composition and molecular structure without direct physical contact or invasion, achieving reliable diagnosis while avoiding the harmful effects of invasive procedures
3Quantity of substance
If broad fluorescence spectra are used for tissue analysis, then overall tissue emission can be detected, but specific molecular contributions cannot be distinguished
Solution Approach 1:
The patent replaces fluorescence spectroscopy with Raman spectroscopy, which detects inelastic scattering of laser light rather than broad-band emission. This substitution produces narrow, well-defined spectral peaks that directly correspond to specific molecular vibrations and bond types, enabling precise identification of individual molecular contributors while maintaining sensitivity to overall tissue composition
Solution Approach 2:
The patent applies the principle of local quality by assigning each Raman spectral peak to a specific molecular vibration mode or bond type. This creates a detailed molecular fingerprint where each spectral feature provides localized information about specific molecules or chemical bonds within the tissue, enabling precise molecular identification rather than bulk tissue characterization
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for the accurate classification of cancerous and benign tissues, providing a new probe for early cancer detection and monitoring cancer stages, with potential for reducing patient trauma and medical costs.
Implementation Method 1
Resonance Raman spectroscopy method using laser wavelengths below 640 nm to detect RR vibrational modes of key molecules in tissues
Implementation Method 2
Raman spectra provide narrow spectral features that can be related to the specific molecular structure even for complex multi-component samples such as biological tissues
Data Source
AI summary
A method to detect vibrations associated with biomolecules in tissues and cellsuses Resonance Raman (RR) spectroscopy to measure specific biomolecules in tissue and cells signals. The changes of RR lines of key molecules present to the chemical conformations and change due to disease such as cancer and heart disease. Biomolecules are collagen, flavins, tryptophan, NADH, NAD, etc. The laser beams excite RR of vibration associated with absorption of the key native molecules in tissue (Tryptophan, NADH, Flavins, Collagen, carotenoids, porphyrins and others. The margin assessment and RR images in 2D and 3D regions are found by RR signals using position scanners. The intensity and the numbers of molecule fingerprints indicate the presence of and the degree of the changes of chemical conformations.