The sensitivity in the IR spectrum of the intact and pathological tissues by laser biophotometry
- 108 Downloads
In this paper, we use the laser biophotometry for in vivo investigations, searching the most sensitive interactions of the near-infrared spectrum with different tissues. The experimental methods are based on the average reflection coefficient (ARC) measurements. For healthy persons, ARC is the average of five values provided by the biophotometer. The probe is applied on dry skin with minimum pilosity, in five regions: left–right shank, left–right forearm, and epigastrium. For the pathological tissues, the emitting terminal is moved over the suspected area, controlling the reflection coefficient level, till a minimum value occurs, as ARC-Pathological. Then, the probe is moved on the symmetrical healthy region of the body to read the complementary coefficient from intact tissue, ARC-Intact, from the same patient. The experimental results show an ARC range between 67 and 59 mW for intact tissues and a lower range, up to 58–42 mW, for pathological tissues. The method is efficient only in those pathological processes accompanied by variable skin depigmentation, water retention, inflammation, thrombosis, or swelling. Frequently, the ARC ranges are overlapping for some diseases. This induces uncertain diagnosis. Therefore, a statistical algorithm is adopted for a differential diagnosis. The laser biophotometry provides a quantitative biometric parameter, ARC, suitable for fast diagnosis in the internal and emergency medicine. These laser biophotometry measurements are representatives for the Romanian clinical trials.
KeywordsDiagnosis Laser Near-infrared Reflection coefficient Inflammation Statistics
This work was partially covered by PNII 62063, 12095 and POSDRU 62557 National Programs.
- 1.Yong-Kwang T, Tay Y-K, Tan S-K (2012) Treatment of infantile hemangiomas with the 595-nm pulsed dye laser using different pulse widths in an Asian population. Lasers Surg Med 2(44):93–96Google Scholar
- 7.Popescu M, Velea A, Mihai C, Tivadar S (2010) Quantitative structure—activity relationship in antidiabetic drugs by using topological descriptors. Digest Journal of Nanomaterials and Biostructures 5(3):629–633Google Scholar
- 8.Zamfirescu M, Sajin G, Bunea A, Craciunoiu F, Simion S, Dabu RR (2010) Layout for millimeter wave composite right/left handed devices obtained by femtosecond laser ablation. J Optoelectron Adv Mater 12(3):686–691Google Scholar
- 10.Matei A, Dinescu M, Buruiana EC, Buruiana T, Petcu I, Mustaciosu C (2011) Ormosils scaffolds produced by laser processing for fibroblast cell growth. Digest Journal of Nanomaterials and Biostructures 6(1):29–35Google Scholar
- 13.Ramesh R, Madheswarana M, Kannan K (2010) Optical characterization of biological tissues using nanoscale FinFET photodetector. J Optoelectron Adv Mater 12(10):2044–2051Google Scholar
- 14.Ravariu C, Bondarciuc A, Ravariu F (2009) From experimental investigations with laser bio-photometry to statistical models applied for the normal and pathological tissue. Proceedings of World Congress on Medical Physics and Biomedical Engineering, Munich, Germany 25:34–37Google Scholar
- 16.Preoteasa E, Iosif L, Amza O, Preoteasa CT, Dumitrascu C (2010) Thermography, an imagistic method in investigation of the oral mucosa status in complete denture wearers. J Optoelectron Adv Mater 12(11):2333–2340Google Scholar
- 18.Aguilar G, Choi B, Broekgaarden M, Yang O, Yang B, Ghasri P, Chen JK, Bezemer R, Nelson JS, Van Drooge AM, Wolkerstorfer A, Kelly KM, Heger M (2012) An overview of three promising mechanical, optical, and biochemical engineering approaches to improve selective photothermolysis of refractory port wine stains. Ann Biomed Eng 40(2):486–506PubMedCentralPubMedCrossRefGoogle Scholar
- 19.Isaev AK, Torchinov A, Uhmanova M. (2004) Sveto-Lazernaia Diagnostika I Terpia v Acusherstve I Ginecologhii. Ministerstvo zdravohronenia Rossiiskoi Federatii, Moscow (in Russian), 74Google Scholar
- 21.Ravariu C, Bondarciuc A, Nahaba V, Bondarciuc V, Ionescu-Tirgoviste C, Babarada F, Dumitrache O (2010) The laser bio-photometry medical applications for the diabetes foot monitoring. Journal of Photodiagnosis and Photodynamic Therapy 7(suppl1):522–523Google Scholar
- 22.JSC United Device Corporation (1998) Guide for MILTA F-8-01, 1998, Moscow, Russia.Google Scholar
- 23.Torchinov AM, Isaev A, Engoyants GM (2008) Laser bio-photometry—methods of diagnosis and prognosis of inflammatory diseases of uterine appendages. Moscow: Medical Science, in Russian 1(14):7–30Google Scholar
- 24.Ponomarenco GN, Turcovski II. (2006) Bio-physics basics of physiotherapy. Moscow Medicine, pp. 17–18.Google Scholar
- 27.Alexandrov MT (2008) Clinical laser bio-photometry. Technosfera, Moscow, pp 101–112Google Scholar
- 28.Sun X, Zhang G, Patel D, Stephens D, Gobin AM. (2012) Targeted cancer therapy by immunoconjugated gold–gold sulfide nanoparticles using protein G as a cofactor. Ann Biomed Eng. doi: 10.1007/s10439-012-0575-7.
- 33.Olariu V, Prepelita V (1985) Special mathematics, chapter 2 probabilities and statistical mathematics. Didactical and Pedagogical Romanian, Bucharest, pp 92–120Google Scholar
- 34.Ravariu C, Ionescu-Tirgoviste C, Dumitrache O. (2011) The modeling of the insulin exocytosis after a glycemic stimulus. Proc. 8-th IASTED International Conference Biomedical Engineering BioMED, Innsbruck, Austria, 188–191, doi: 10.2316/P.2011.723-088.