A review of Raman spectroscopy advances with an emphasis on clinical translation challenges in oncology
- PMID: 27804917
- DOI: 10.1088/0031-9155/61/23/R370
A review of Raman spectroscopy advances with an emphasis on clinical translation challenges in oncology
Abstract
There is an urgent need for improved techniques for disease detection. Optical spectroscopy and imaging technologies have potential for non- or minimally-invasive use in a wide range of clinical applications. The focus here, in vivo Raman spectroscopy (RS), measures inelastic light scattering based on interaction with the vibrational and rotational modes of common molecular bonds in cells and tissue. The Raman 'signature' can be used to assess physiological status and can also be altered by disease. This information can supplement existing diagnostic (e.g. radiological imaging) techniques for disease screening and diagnosis, in interventional guidance for identifying disease margins, and in monitoring treatment responses. Using fiberoptic-based light delivery and collection, RS is most easily performed on accessible tissue surfaces, either on the skin, in hollow organs or intra-operatively. The strength of RS lies in the high biochemical information content of the spectra, that characteristically show an array of very narrow peaks associated with specific chemical bonds. This results in high sensitivity and specificity, for example to distinguish malignant or premalignant from normal tissues. A critical issue is that the Raman signal is often very weak, limiting clinical use to point-by-point measurements. However, non-linear techniques using pulsed-laser sources have been developed to enable in vivo Raman imaging. Changes in Raman spectra with disease are often subtle and spectrally distributed, requiring full spectral scanning, together with the use of tissue classification algorithms that must be trained on large numbers of independent measurements. Recent advances in instrumentation and spectral analysis have substantially improved the clinical feasibility of RS, so that it is now being investigated with increased success in a wide range of cancer types and locations, as well as for non-oncological conditions. This review covers recent advances and continuing challenges, with emphasis on clinical translation.
Similar articles
-
Raman spectroscopy for medical diagnostics--From in-vitro biofluid assays to in-vivo cancer detection.Adv Drug Deliv Rev. 2015 Jul 15;89:121-34. doi: 10.1016/j.addr.2015.03.009. Epub 2015 Mar 22. Adv Drug Deliv Rev. 2015. PMID: 25809988 Review.
-
Raman scattering in pathology.Stud Health Technol Inform. 2013;185:207-34. Stud Health Technol Inform. 2013. PMID: 23542937 Review.
-
Noninvasive Monitoring of Blood Glucose with Raman Spectroscopy.Acc Chem Res. 2017 Feb 21;50(2):264-272. doi: 10.1021/acs.accounts.6b00472. Epub 2017 Jan 10. Acc Chem Res. 2017. PMID: 28071894 Free PMC article.
-
Advances in the clinical application of Raman spectroscopy for cancer diagnostics.Photodiagnosis Photodyn Ther. 2013 Sep;10(3):207-19. doi: 10.1016/j.pdpdt.2013.01.008. Epub 2013 Jun 15. Photodiagnosis Photodyn Ther. 2013. PMID: 23993846 Review.
-
Advantages and limitations of Raman spectroscopy for molecular diagnostics: an update.Expert Rev Mol Diagn. 2015 Jun;15(6):773-87. doi: 10.1586/14737159.2015.1036744. Epub 2015 Apr 15. Expert Rev Mol Diagn. 2015. PMID: 25872466 Review.
Cited by
-
Quantitative Histopathology of Stained Tissues using Color Spatial Light Interference Microscopy (cSLIM).Sci Rep. 2019 Oct 11;9(1):14679. doi: 10.1038/s41598-019-50143-x. Sci Rep. 2019. PMID: 31604963 Free PMC article.
-
In situ brain tumor detection using a Raman spectroscopy system-results of a multicenter study.Sci Rep. 2024 Jun 10;14(1):13309. doi: 10.1038/s41598-024-62543-9. Sci Rep. 2024. PMID: 38858389 Free PMC article.
-
Machine learning with label-free Raman microscopy to investigate ferroptosis in comparison with apoptosis and necroptosis.Commun Biol. 2025 Feb 11;8(1):218. doi: 10.1038/s42003-025-07624-9. Commun Biol. 2025. PMID: 39934250 Free PMC article.
-
Rapid intraoperative diagnosis of pediatric brain tumors using Raman spectroscopy: A machine learning approach.Neurooncol Adv. 2022 Jul 26;4(1):vdac118. doi: 10.1093/noajnl/vdac118. eCollection 2022 Jan-Dec. Neurooncol Adv. 2022. PMID: 35919071 Free PMC article.
-
Integration of a Raman spectroscopy system to a robotic-assisted surgical system for real-time tissue characterization during radical prostatectomy procedures.J Biomed Opt. 2019 Feb;24(2):1-10. doi: 10.1117/1.JBO.24.2.025001. J Biomed Opt. 2019. PMID: 30767440 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources