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Grusha Y.O.

I.M. Sechenov First Moscow State Medical University (Sechenov University);
Krasnov Research Institute of Eye Diseases

Kiryushchenkova N.P.

Research Institute of Eye Diseases

Novikov I.A.

Krasnov Research Institute of Eye Diseases

Fedorov A.A.

Moscow Regional Scientific Research Institute of Obstetrics and Gynecology

Ismailova D.S.

Research Institute of Eye Diseases

Histological verification of autofluorescence borders of periorbital skin tumors

Authors:

Grusha Y.O., Kiryushchenkova N.P., Novikov I.A., Fedorov A.A., Ismailova D.S.

More about the authors

Journal: Russian Annals of Ophthalmology. 2020;136(6): 32‑41

Read: 2680 times


To cite this article:

Grusha YO, Kiryushchenkova NP, Novikov IA, Fedorov AA, Ismailova DS. Histological verification of autofluorescence borders of periorbital skin tumors. Russian Annals of Ophthalmology. 2020;136(6):32‑41. (In Russ.)
https://doi.org/10.17116/oftalma202013606132

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References:

  1. Papavramidou N, Papavramidis T, Demetriou T. Ancient Greek and Greco — Roman Methods in Modern Surgical Treatment of Cancer. Ann Surg Oncol. 2010;17(3):665-667.  https://doi.org/10.1245/s10434-009-0886-6
  2. Celebi ME, Iyatomi H, Schaefer G, Stoecker WV. Lesion border detection in dermoscopy images. Comput Med Imaging Graph. 2009;33(2):148-153.  https://doi.org/10.1016/j.compmedimag.2008.11.002
  3. Kharazmi P, Lui H, Wang ZJ and Lee TK. Automatic detection of basal cell carcinoma using vascular-extracted features from dermoscopy images. Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE; Vancouver, BC, Canada: 2016. https://doi.org/10.1109/CCECE.2016.7726666
  4. Baldi A, Quartulli M, Murace R, et al. Automated dermoscopy image analysis of pigmented skin lesions. Cancers (Basel). 2010;2(2):262-273.  https://doi.org/10.3390/cancers2020262
  5. Jerant AF, Johnson JT, Sheridan CD, Caffrey TJ. Early detection and treatment of skin cancer. Am Fam Physician. 2000;62(2):357-368, 375-376, 381-382. 
  6. Jaworek-Korjakowska J. Novel method for border irregularity assessment in dermoscopic color images. Computational and Mathematical Methods in Medicine. 2015;11.  https://doi.org/10.1155/2015/496202.496202
  7. Titov KS, Mikheeva OYu, Kranorutskiy AV. Zlokachestvennye epitelial’nye opukholi kozhi. Metodicheskie rekomendatsii. M.: GBUZ MKNTs im. A.S. Loginova DZM; 2019: 36. (In Russ.).
  8. Telfer NR, Colver GB, Morton CA. Guidelines for the management of basal cell carcinoma. British Journal of Dermatology. 2008;159:35-48.  https://doi.org/10.1111/j.1365-2133.2008.08666.x
  9. Peris K, Fargnoli MC, Garbe C, Kaufmann R, Bastholt L, Seguin NB, Bataille V, del Marmol V, Dummer R, Harwood CA, Hauschild A, Höller C, Haedersdal M, Malvehy J, Middleton MR, Morton CA, Nagore E, Stratigos AJ, Szeimies R-M, Tagliaferri L, Trakatelli M, Zalaudek I, Eggermont A, Grob JJ. Diagnosis and treatment of basal cell carcinoma: European consensus—based interdisciplinary guidelines. European Journal of Cancer. 2019; 118:10-34.  https://doi.org/10.1016/j.ejca.2019.06.003
  10. Gulia A, Brunasso AMG, Massone C. Dermoscopy: distinguishing malignant tumors from benign. Expert Review of Dermatology. 2012;7(5):439-458.  https://doi.org/10.1586/edm.12.47
  11. Jaworek-Korjakowska J. Novel Method for Border Irregularity Assessment in Dermoscopic Color Images. Computational and Mathematical Methods in Medicine. 2015;2015(496202):11.  https://doi.org/10.1155/2015/496202
  12. Na R, Stender IM, Wulf HC. Can autofluorescence demarcate basal cell carcinoma from normal skin? A comparison with protoporphyrin IX fluorescence. Acta Derm Venereol. 2001;81:246-249.  https://doi.org/10.1080/00015550152572859
  13. Hegyi J, Hegyi V, New developments in fluorescence diagnostics. In: Michael R. Hamblin, Pinar Avci, Gaurav K. Gupta, eds. Imaging in Dermatology. Academic Press. 2016;89-94.  https://doi.org/10.1016/B978-0-12-802838-4.00009-1
  14. Novikov IA, Grusha YO, Kirushchenkova NP. Improving efficacy of fluorescent diagnostics of skin and mucosal tumors in ocular oncology. Vestnik Rossijskoj akademii meditsinskih nauk. 2012;67(10):62-69. (In Russ.). https://doi.org/10.15690/vramn.v67i10.418
  15. Kozlov SV, Zakharov VP, Moryatov AA, Bratchenko IA, Artemyev DN. Possibility backscattering spectrometry for diagnostic of skin neoplasms. Izvestiya Samarskogo nauchnogo tsentra Rossijskoj akademii nauk. 2015;17(2-3):542-547. (In Russ.).
  16. Na R, Stender IM, Wulf HC. Can autofluorescence demarcate basal cell carcinoma from normal skin? A comparison with protoporphyrin IX fluorescence. Acta Derm Venereol. 2001;81(4):246-249.  https://doi.org/10.1080/00015550152572859
  17. Haniffa MA, Lloyd JJ, Lawrence CM. The use of a spectrophotometric intracutaneous analysis device in the real-time diagnosis of melanoma in the setting of a melanoma screening clinic. The British journal of dermatology. 2007;156:1350-1352.
  18. Wortsman X, Vergara P, Castro A, Saavedra D, Bobadilla F, Sazunic I, Zemelman V, Wortsman J. Ultrasound as predictor of histologic subtypes linked to recurrence in basal cell carcinoma of the skin. J Eur Acad Dermatol Venereol. 2015;29:702-707.  https://doi.org/10.1111/jdv.12660
  19. Dasgeb B, Morris MA, Mehregan D, Siegel EL. Quantified ultrasound elastography in the assessment of cutaneous carcinoma. Br J Radiol. 2015; 88(1054):20150344. https://doi.org/10.1259/bjr.20150344
  20. Rallan D, Bush NL, Bamber JC, et al. Quantitative discrimination of pigmented lesions using three-dimensional high-resolution ultrasound reflex transmission imaging. The Journal of investigative dermatology. 2007;127:189-195. 
  21. Ono I, Sakemoto A, Ogino J, et al. The real-time, three-dimensional analyses of benign and malignant skin tumors by confocal laser scanning microscopy. J Dermatol Science. 2006;43(2):135-141. 
  22. Venturini M, Sala R, Gonzàlez S, Calzavara-Pinton PG. Reflectance Confocal Microscopy Allows in Vivo Real-time Noninvasive Assessment of the Outcome of Methyl Aminolaevulinate Photodynamic Therapy of Basal Cell Carcinoma. The British Journal of Dermatology. 2013;168(1):99-105. 
  23. Welzel J. Optical coherence tomography in dermatology: a review. Skin Res Technol. 2001;7:1-9. 
  24. Gambichler T, Pljakic A, Schmitz L. Recent advances in clinical application of optical coherence tomography of human skin. Clinical, Cosmetic and Investigational Dermatology. 2015;8:345-354.  https://doi.org/10.2147/ccid.s69119
  25. Zhang J, Li Y, Zhao Y, Qiao J. CT and MRI of superficial solid tumors. Quant Imaging Med Surg. 2018;8(2):232-251.  https://doi.org/10.21037/qims.2018.03.03
  26. Goldys EM, ed. Fluorescence Applications in Biotechnology and Life Sciences. Wiley-Blackwell; 2009.
  27. Lakowicz JR. Principles of Fluorescence Spectroscopy, Third Edition. Springer; 2006.
  28. Wild CP, Weiderpass E, Stewart BW, eds (2020). World Cancer Report: Cancer Research for Cancer Prevention. Lyon, France: International Agency for Research on Cancer. Licence: CC BY-NC-ND 3.0 IGO.  https://publications.iarc.fr/586
  29. Eisemann N, Waldmann A, Geller AC, Weinstock MA, Volkmer B, Greinert R, et al. Non-melanoma skin cancer incidence and impact of skin cancer screening on incidence. J Invest Dermatol. 2014;134(1):43-50.  https://doi.org/10.1038/jid. 2013.304
  30. Global Burden of Disease Cancer Collaboration. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol. 2019;5(12):1749-1768. https://doi.org/10.1001/jamaoncol.2019.2996
  31. Policard A. Etudes sur les aspects offerts par des tumeurs experimentales examinées a la lumière de Wood. C R Soc Biol. 1924;91:1423-1428.
  32. McNicholas K, MacGregor MN, Gleadle JM. In order for the light to shine so brightly, the darkness must be present-why do cancers fluoresce with 5-aminolaevulinic acid? Br J Cancer. 2019;121(8):631-639.  https://doi.org/10.1038/s41416-019-0516-4
  33. Sinichkin YuP, Utts SR. In vivo otrazhatel’naya i fluorestsentnaya spektroskopiya kozhi cheloveka. Saratov: Izdatel’stvo Saratovskogo universiteta; 2001. (In Russ).
  34. Anderson RR, Parrish JA. The Optics of Human Skin. Journal of Investigative Dermatology. 1981;77(1):13-19.  https://doi.org/10.1111/1523-1747.ep12479191
  35. Filonenko EV. Fluorescence diagnostics and photodynamic therapy: justification of applications and opportunities in oncology. Fotodinamicheskaya terapiya i fotodiagnostika. 2014;3(1):3-7. (In Russ.).
  36. Zaytsev AM, Kurzhupov MI, Filonenko EV. Intraoperative fluorescence diagnosis in patients with brain metastases (medical technology). Fotodinamicheskaya terapiya i fotodiagnostika. 2014;3(2):31-38. (In Russ.).
  37. Newton AD, Predina JD, Nie S, Low PS, Singhal S. Intraoperative fluorescence imaging in thoracic surgery. J Surg Oncol. 2018;118:344‐355.  https://doi.org/10.1002/jso.25149
  38. Fritsch C, Ruzicka T. FDAP: Correlation of in vivo — tumor fluorescence and histopathology. In: Fritsch C, Ruzicka T. Fluorescence Diagnosis and Photodynamic Therapy of Skin Diseases: Atlas and Handbook. Springer Science & Business Media. 2012;46-48. 
  39. El Hoshy K, Bosseila M, El Sharkawy D, Sobhi R. Can basal cell carcinoma lateral border be determined by fluorescence diagnosis?: Verification by Mohs micrographic surgery. Photodiagnosis Photodyn Ther. 2016;14:4-8.  https://doi.org/10.1016/j.pdpdt.2016.01.001
  40. Podvyaznikov SO, Khasanov RSh, Afanasieva ZA et al. Diagnosis and treatment of malignant epithelial skin tumors (project). Opuholi golovy i shei. 2017;2:114-128. (In Russ.).
  41. Telfer NR, Colver GB, Morton CA. Guidelines for the management of basal cell carcinoma. British Journal of Dermatology. 2008;159:35-48.  https://doi.org/10.1111/j.1365-2133.2008.08666.x
  42. Bisson MA, Dunkin CS, Suvarna SK, Griffiths RW. Do plastic surgeons resect basal cell carcinomas too widely? A prospective study comparing surgical and histological margins. Br J Plast Surg. 2002;55:293-297. 
  43. Simone P, Carusi C, Iannuzzi R, Persichetti P. Two-millimeter dermoscopically detected excision margins in the treatment of basal cell carcinoma: an assessment of radicality and recurrence. Plast Aesthet Res. 2016;3:269-270.  https://doi.org/10.20517/2347-9264.2016.49
  44. Novikov IA, Grusha YO, Kiriushchenkova NP. Autofluorescent diagnostics of skin and mucosal tumors. Vestnik oftal’mologii. 2013;129(5):147-153. (In Russ.).

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