2022, Number 1
<< Back Next >>
Revista Cubana de Angiología y Cirugía Vascular 2022; 23 (1)
Diagnostic accuracy of photographic imaging in the granulation of diabetic ulcers by segmentation
Rodríguez-Alonso D, Cabrejo-Paredes J, Benites SM
Language: Spanish
References: 25
Page: 1-13
PDF size: 283.93 Kb.
ABSTRACT
Introduction:
The evaluation of the state of the ulcers by photographic image is carried out when the red and pink colors are found, which correspond to granulation.
Objective:
Determine the sensitivity, specificity and accuracy of the photographic image with respect to the histological study in the granulation of diabetic ulcers.
Methods:
The design was a diagnostic test performed on 29 diabetic patients with 45 uninfected diabetic ulcers, in which the direct observation of an area of granulation by photographic image was compared as a diagnostic test in the evaluation referring to the standard by pathological anatomy, through a punch biopsy. The photographic image was obtained using a CATS61 Smartphone and analyzed through segmentation in red and black colors with the ImageJ software. The study was authorized by an ethics committee. Statistics were performed with SPSS 22 and EPIDAT 4.4 softwares.
Results:
Diabetic ulcers presented an average of 3.03 ± 2.39 cm long and 2.26 ± 1.62 cm wide; of type 2 ulcer according to Wagner in 73.3%, and type A ulcer, according to the University of Texas at 60%. Photographic imaging tests showed sensitivity, specificity and accuracy in 90%, 33.3% and 61.6%, respectively.
Conclusions:
The identification of the photographic image and the histological study of diabetic ulcers with granulation were feasible. The sensitivity, specificity and accuracy of the photographic image were high, low and moderate.
REFERENCES
Suvi JRF, Yadi BM. Diabetes atlas. 9th ed. United Kingdom: International Diabetes Federation Press; 2019. p. 6 [access 22/11/2019]. Available from: Available from: https://www.diabetesatlas.org/upload/resources/material/20200302_133351_IDFATLAS9e-final-web.pdf
Xue-Lei F, Hui D, Wei-Wei M, Chun-Xing M, Min-Qi Z, Hong-Lin C. Global recurrence rates in diabetic foot ulcers: A systematic review and meta-analysis. Diabetes Metab Res Rev. 2019;35(6):1-11. DOI: https://onlinelibrary.wiley.com/doi/10.1002/dmrr.3160
Khunkaew S, Fernandez R, Sim J. Health-related quality of life among adults living with diabetic foot ulcers: a meta-analysis. Qual Life Res. 2019 [access 22/11/2019];28(6):1413-27. Available from: Available from: https://link.springer.com/article/10.1007%2Fs11136-018-2082-2
Baltzis D, Eleftheriadou I, Veves A. Pathogenesis and treatment of impaired wound healing in diabetes mellitus: new insights. Adv Ther. 2014 [access 22/11/2019];31(8):817-36. Available from: Available from: https://link.springer.com/article/10.1007%2Fs12325-014-0140-x
Sorg H, Tilkorn DJ, Hager S, Hauser J, Mirastschijski U. Skin Wound Healing: An Update on the Current Knowledge and Concepts. Eur Surg Res. 2017 [access 22/11/2019];58(1):81-94. Available from: Available from: https://www.karger.com/Article/FullText/454919
Rennert R, Golinko M, Kaplan D, Flattau A, Brem H. Standarization of wound pothography using the Wound Electronic Medical Record. Adv Skin Wound Care. 2009 [access 22/11/2019];22(1):31-8. Available from: Available from: https://journals.lww.com/aswcjournal/Citation/2009/01000/Standardization_of_Wound_Photography_Using_the.11.aspx
Li S, Renick P, Senkowsky J, Nair A, Tang L. Diagnostics for Wound Infections. Adv Wound Care (New Rochelle). 2021;10(6):317-27. DOI: https://www.liebertpub.com/doi/10.1089/wound.2019.1103
Schneider SL, Kohli I, Hamzavi IH, Council ML, Ozog DM, Rossi AM. Emerging imaging technologies in dermatology: Part I: Basic principles. J Am Acad Dermatol 2019 [access 22/11/2019];80(4):1114-20. Available from: Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7469876/
Hasatsri S, Aramwit P. Nontraditional Methods to Evaluate Wound Healing. Dermatol Surg 2017 [access 22/11/2019];43(3):342-50. Available from: Available from: https://journals.lww.com/dermatologicsurgery/Abstract/2017/03000/Nontraditional_Methods_to_Evaluate_Wound_Healing.3.aspx
Russell L, Reynolds TM. Using image analysis to determine cause, severity, status and healing prognosis in wound management. J Wound Care. 2015;14(9):433-6. DOI: https://doi.org/10.12968/jowc.2005.14.9.26838
Ahmad MF, Khansa I, Catignani K, Gordillo G, Sen CK, Gurcan MN. Computerized segmentation and measurement of chronic wound images. Comput Biol Med. 2015;60:74-85. DOI: https://doi.org/10.1016/j.compbiomed.2015.02.015
Patel S, Patel R, Desai D. Diabetic Foot Ulcer Wound Tissue Detection and Classification. 2017 International Conference on Innovations in information Embedded and Communication Systems-India (ICIIECS); 2017 [access 22/11/2019]. p. 1-5. Available from: Available from: https://ieeexplore.ieee.org/document/8276007
Van Netten JJ, Clark D, Lazzarini PA, Janda M, Reed LF. The validity and reliability of remote diabetic foot ulcer assessment using mobile phone images. Nature: scientific reports. 2017 [access 22/11/2019];7:1-10. Available from: Available from: https://www.nature.com/articles/s41598-017-09828-4
Thompson N, Gordey L, Bowles H, Parslow N, Houghton P. Reliability and validity of the revised photographic wound assessment tool on digital images taken of various types of chronic wounds. Adv Skin Wound Care. 2013 [access 22/11/2019];26(8):360-73. Available from: Available from: https://journals.lww.com/aswcjournal/Abstract/2013/08000/Reliability_and_Validity_of_the_Revised.7.aspx
Bujang MA, Adnan TH. Requirements for Minimum Sample Size for Sensitivity and Specificity Analysis. J Clin Diagn Res. 2016 [access 22/11/2019];10(10):1-6. Available from: Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5121784/
Mukherjee R, Manohar DD Das DK, Achar A, Mitra A, Chakraborty C. Automated tissue classification framework for reproducible chronic wound assessment. BioMed Research International. 2014 [access 22/11/2019]:1-9. Available from: Available from: https://www.hindawi.com/journals/bmri/2014/851582/
Bassetto F, Lancerotto L, Salmaso R, Pandis L, Pajardi G, Schiavon M, et al. Histological evolution of chronic wounds under negative pressure therapy. Journal of Plastic, Reconstructive & Aesthetic Surgery. 2012 [access 22/11/2019];65:91-9. Available from: Available from: https://www.jprasurg.com/article/S1748-6815(11)00445-1/fulltext
Masson-Meyers DS, Andrade TAM, Caetano GF, Guimaraes FR, Leite MN, Leite SN, et al. Experimental models and methods for cutaneous wound healing assessment. Int J Exp Pathol. 2020 [access 22/11/2019];101(1-2):21-37. Available from: Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306904/
Thomas RL, Zidan MA, Slovis TL. What you need to know about statistics Part I: validity of diagnostic and screening tests. Pediatr Radiol. 2015 [access 22/11/2019];45(2):146-52. Available from: Available from: https://link.springer.com/article/10.1007%2Fs00247-014-2882-7
Buehler AM, Ascef BO, Oliveira Júnior HA, Ferri CP, Fernandes JG. Rational use of diagnostic tests for clinical decision making. Rev Assoc Med Bras. 2019 [access 22/11/2019];65(3):452-9. Available from: Available from: https://www.scielo.br/j/ramb/a/SNkScJB6CxsSWnCNHvS5zjg/?lang=en
Ketomäki T, Vähätupa M, May U, Pemmari T, Ruikka E, Hietamo J, et al. R-Ras regulates vascular permeability, but not overall healing in skin wounds. Exp Dermatol. 2019;8(2):202-6. DOI: https://onlinelibrary.wiley.com/doi/10.1111/exd.13851
Kanapathy M, Hachach-Haram N, Bystrzonowski N, Connelly JT, O'Toole EA, Becker DL, Mosahebi A, et al. Epidermal grafting for wound healing: a review on the harvesting systems, the ultrastructure of the graft and the mechanism of wound healing. Int Wound J. 2017;14(1):16-23. DOI: https://onlinelibrary.wiley.com/doi/10.1111/iwj.12686
Jhamb S, Vangaveti VN, Malabu UH. Genetic and molecular basis of diabetic foot ulcers: Clinical review. J Tissue Viability. 2016;25(4):229-36. DOI: https://doi.org/10.1016/j.jtv.2016.06.005
AlMalki WH, Shahid I, Mehdi AY, Hafeez MH. Assessment methods for angiogenesis and current approaches for its quantification. Indian J Pharmacol. 2014 [access 22/11/2019];46(3):251-6. Available from: Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071699/
Jayachandran M, Rodriguez S, Solis E, Lei J, Godavarty A. A critical review of non-invasive optical technologies for wound imaging. Adv Wound Care. 2016 [access 22/11/2019];5(8):349-5 9. Available from: Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4991615/