Technical Note: Noninvasive mid-IR fiber-optic evanescent wave spectroscopy (FEWS) for early detection of skin cancers.
BCC
FTIR
SCC
fiberoptic
in-vivo
melanoma
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Nov 2020
Nov 2020
Historique:
received:
16
03
2020
revised:
20
07
2020
accepted:
31
08
2020
pubmed:
25
9
2020
medline:
15
5
2021
entrez:
24
9
2020
Statut:
ppublish
Résumé
Melanoma is the most lethal of the three primary skin cancers, including also basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), which are less lethal. The accepted diagnosis process involves manually observing a suspicious lesion through a Dermascope (i.e., a magnifying glass), followed by a biopsy. This process relies on the skill and the experience of a dermatologist. However, to the best of our knowledge, there is no accepted automatic, noninvasive, and rapid method for the early detection of the three types of skin cancer, distinguishing between them and noncancerous lesions, and identifying each of them. It is our aim to develop such a system. We developed a fiber-optic evanescent wave spectroscopy (FEWS) system based on middle infrared (mid-IR) transmitting AgClBr fibers and a Fourier-transform infrared spectrometer (FTIR). We used the system to perform mid-IR spectral measurements on suspicious lesions in 90 patients, before biopsy, in situ, and in real time. The lesions were then biopsied and sent for pathology. The spectra were analyzed and the differences between pathological and healthy tissues were found and correlated. Five of the lesions measured were identified as melanomas, seven as BCC, and three as SCC. Using mathematical analyses of the spectra of these lesions we were able to tell that all were skin cancers and we found specific and easily identifiable differences between them. This FEWS method lends itself to rapid, automatic and noninvasive early detection and characterization of skin cancers. It will be easily implemented in community clinics and has the potential to greatly simplify the diagnosis process.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5523-5530Subventions
Organisme : Israeli Ministry of Science
ID : 3-10856
Informations de copyright
© 2020 American Association of Physicists in Medicine.
Références
Key Statistics for Basal and Squamous Cell Skin Cancers. https://www.cancer.org/cancer/basal-and-squamous-cell-skin-cancer/about/key-statistics.html. Accessed June 23, 2020.
Melanoma Skin Cancer Stages. https://www.cancer.org/cancer/melanoma-skin-cancer/detection-diagnosis-staging/melanoma-skin-cancer-stages.html. Accessed September 2, 2019.
Davis LE, Shalin SC, Tackett AJ. Current state of melanoma diagnosis and treatment. Cancer Biol Ther. 2019;20:1366-1379.
Kittler H, Pehamberger H, Wolff K, Binder M. Diagnostic accuracy of dermoscopy. Lancet Oncol. 2002;3:159-165.
Vestergaard ME, Macaskill P, Holt PE, Menzies SW. Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting. Br J Dermatol. 2008;159:669-676.
Filoni A, Alaibac M. Reflectance confocal microscopy in evaluating skin cancer: a clinicians’s perspective. Front Oncol. 2019;9:1457.
Ahlgrimm-Siess V, Laimer M, Rabinovitz HS, et al. Confocal microscopy in skin cancer. Curr Dermatol Rep. 2018;7:105-118.
Ferrante di Ruffano L, Dinnes J, Deeks JJ, et al. Optical coherence tomography for diagnosing skin cancer in adults. Cochrane Database Syst Rev. 2018;2018:CD013189.
Rajabi-Estarabadi A, Bittar JM, Zheng C, et al. Optical coherence tomography imaging of melanoma skin cancer. Lasers Med Sci. 2019;34:411-420.
Dinnes J, Bamber J, Chuchu N, et al. High-frequency ultrasound for diagnosing skin cancer in adults. Cochrane Database Syst Rev. 2018;2018:CD013188.
Bard RL. High-frequency ultrasound examination in the diagnosis of skin cancer. Dermatol Clin. 2017;35:505-511.
Lui H, Zhao J, McLean D, Zeng H. Real-time raman spectroscopy for in vivo skin cancer diagnosis. Cancer Res. 2012;72:2491-2500.
Fink C, Haenssle HA. Non-invasive tools for the diagnosis of cutaneous melanoma. Ski Res Technol. 2017;23:261-271.
Harrick NJ. Internal Reflection Spectroscopy. Pleasantville: Harrick Scientific Corp; 1967.
Mirabella FM, Harrick NJ. Internal Reflection Spectroscopy: Review and Supplement. Pleasantville: Harrick Scientific Corp; 1985.
Gremlich H-U, Yan B. Infrared and Raman Spectroscopy of Biological Materials. New York, Basel: Marcel Dekker CRC Press; 2001.
Grichnik JM. Stratum corneum RNA levels are diagnostic for melanoma. Br J Dermatol. 2011;164:693-694.
Jackson M, Mantsch HH. The medical challenge to infrared spectroscopy. J Mol Struct. 1997;2860:105-111.
Mehrotra R, Tyagi G, Charak S, et al. Biospectroscopic analysis of human breast cancer tissue: probing infrared signatures to comprehend biochemical alterations. J Biomol Struct Dyn. 2018;36:761-766.
Dukor RK. Vibrational spectroscopy in the detection of cancer. In: Griffiths PR, Chalmers JM, eds. Handbook of Vibrational Spectroscopy. Chichester, UK: John Wiley & Sons, Ltd; 2006:3335-3361. https://doi.org/10.1002/0470027320.s8107
Benedetti E, Palatresi MP, Vergamini P, Papineschi F, Spremolla G. New possibilities of research in chronic lymphatic leukemia by means of fourier transform-infrared spectroscopy-II. Leuk Res. 1985;9:1001-1008.
Schultz CP, Liu KZ, Johnston JB, Mantsch HH. Study of chronic lymphocytic leukemia cells by FT-IR spectroscopy and cluster analysis. Leuk Res. 1996;20:649-655.
McIntosh LM, Jackson M, Mantsch HH, Stranc MF, Pilavdzic D, Crowson AN. Infrared spectra of basal cell carcinomas are distinct from non-tumor-bearing skin components. J Invest Dermatol. 1999;112:951-956.
Mackanos MA, Contag CH. Fiber-optic probes enable cancer detection with FTIR spectroscopy. Trends Biotechnol. 2010;28:317-323.
Petrich W. Mid-infrared and Raman spectroscopy for medical diagnostics. Appl Spectrosc Rev. 2001;36:181-237.
Fukuzaki M, Haida M, Shioya S. Quantification of water content in biological tissues by proton nuclear magnetic resonance. Tokai J Exp Clin Med. 1991;16:175-181. https://europepmc.org/article/med/1667344. Accessed June 23, 2020.
Mitra C. Mid-Infrared Spectroscopy and Challenges in Industrial Environment. In: Infrared Spectroscopy - Principles, Advances, and Applications. IntechOpen; 2019. https://doi.org/10.5772/intechopen.80657
Artyushenko VG, Bocharnikov A, Colquhoun G, et al. Mid IR-fiber spectroscopy in the 2-17μm range. Proceedings Volume 6739, Electro-Optical Remote Sensing, Detection, and Photonic Technologies and Their Applications; 673908 (2007), Optics/Photonics in Security and Defence, 2007, Florence, Italy. https://doi.org/10.1117/12.752056
Artyushenko V, Bocharnikov A, Colquhoun G, et al. Mid-IR fibre optics spectroscopy in the 3300-600 cm-1 range. Vib Spectrosc. 2008;48:168-171.
Artioushenko VG, Lerman AA, Kryukov AP, et al. MIR fiber spectroscopy for minimal invasive diagnostics. Proceedings Volume 2631, Medical and Fiber Optic Sensors and Delivery Systems; 1995. https://doi.org/10.1117/12.229171
Artioushenko VG, Ionov VN, Kalaidjian KI, et al. Infrared fibers: power delivery and medical applications. In: Harrington JA, Harris DM, Katzir A, eds. Proc. SPIE. Vol 2396. SPIE; 1995:25-36. https://doi.org/10.1117/12.208409.
Jakusch M, Mizaikoff B, Kellner R, Katzir A. Towards a remote IR fiber-optic sensor system for the determination of chlorinated hydrocarbons in water. Sensors Actuators, B Chem. 1997;38:83-87.
Naumann D. FT-infrared and FT-Raman spectroscopy in biomedical research. Appl Spectrosc Rev. 2001;36:239-298.
Seddon AB, Napier B, Lindsay I, et al. Prospective on using fibre mid-infrared supercontinuum laser sources for in vivo spectral discrimination of disease. Analyst. 2018;143:5874-5887.
Wachsman W, Morhenn V, Palmer T, et al. Non-invasive genomic detection of melanoma. Br J Dermatol. 2011;164:797-806.
Goldberg I, Shushan A, Brenner S, et al. Infrared fiber optic spectroscopy: a novel tool for skin diagnosis. In: Pros. SPIE. Vol 5321.; 2004:44-50. https://doi.org/10.1117/12.528961
Paraskevaidi M, Martin-Hirsch PL, Martin FL. ATR-FTIR spectroscopy tools for medical diagnosis and disease investigation. In: Kumar C, ed. Nanotechnology Characterization Tools for Biosensing and Medical Diagnosis. Berlin, Heidelberg: Springer; 2018:163-211. https://doi.org/10.1007/978-3-662-56333-5_4
Fioravanti V, Brandhoff L, van den Driesche S, et al. An infrared absorbance sensor for the detection of melanoma in skin biopsies. Sensors. 2016;16:1659.
Nagli L, Bunimovich D, Shmilevich A, Kristianpoller N, Katzir A. Optical properties of mixed silver halide crystals and fibers. J Appl Phys. 1993;74:5737-5741.
Moser F, Bunimovich D, DeRowe A, et al. Medical applications of infrared transmitting silver halide fibers. IEEE J Sel Top Quantum Electron. 1996;2:872-879.
Shalem S, German A, Barkay N, Moser F, Katzir A. Mechanical and optical properties of silver-halide infrared transmitting fibers. Fiber Integr Opt. 1997;16:27-54.
Harrington JA. Infrared Fibers and Their Applications. Bellingham, WA: SPIE Digital Library; SPIE; 2004. https://doi.org/10.1117/3.540899
Bunimovich D, Belotserkovsky E, Katzir A. Fiberoptic evanescent wave infrared spectroscopy of gases in liquids. Rev Sci Instrum. 1995;66:2818-2820.
Heise HM, Küpper L, Butvina LN. Attenuated total reflection mid-infrared spectroscopy for clinical chemistry applications using silver halide fibers. Sensors Actuators, B Chem. 1998;51:84-91.
Raichlin Y, Katzir A. Fiber-optic evanescent wave spectroscopy in the middle infrared. Appl Spectrosc. 2008;62:32A-72A.
Kyriakidou M, Anastassopoulou J, Tsakiris A, Koui M, Theophanides T. FT-IR spectroscopy study in early diagnosis of skin cancer. Invivo. 2017;31:1131-1137.
Liu C, Wu B, Sordillo LA, et al. A pilot study for distinguishing basal cell carcinoma from normal human skin tissues using visible resonance Raman spectroscopy. J Cancer Metastasis Treat. 2019;5(4):1-14.
Simonova D, Karamancheva I. Application of fourier transform infrared spectroscopy for tumor diagnosis. Biotechnol Biotechnol Equip. 2013;27:4200-4207.
Pallua JD, Pezzei C, Zelger B, et al. Fourier transform infrared imaging analysis in discrimination studies of squamous cell carcinoma. Analyst. 2012;137:3965-3974.
Balan V, Mihai C-T, Cojocaru F-D, et al. Vibrational spectroscopy fingerprinting in medicine: from molecular to clinical practice. Materials (Basel). 2019;12:2884.
Hammody Z, Sahu RK, Mordechai S, Cagnano E, Argov S. Characterization of malignant melanoma using vibrational spectroscopy. Sci World J. 2005;5:173-182.
Beljebbar A, Gatouillat G, Morjani H, Manfait M, Madoulet C.Characterization of Melanoma Progression on Animal Model Using Fourier Transform Infrared Mapping. In: Tanaka Y, ed. Breakthroughs in Melanoma Research. InTech; 2011. https://doi.org/10.5772/22078