SMART Monitoring computer program for oral and skin lesions measurements: analysis through clinical photography

Autores/as

  • Pedro Senna Witt Universidade Federal de Santa Catarina
  • Vithória Rabelo Zimmer Universidade Federal de Santa Catarina
  • Fabiane Smiderle Universidade Federal de Santa Catarina
  • Liliane Janete Grando Universidade Federal de Santa Catarina
  • Juliana Balbinot Reis Girondi Universidade Federal de Santa Catarina
  • Ricardo Armini Caldas Universidade Federal de Santa Catarina
  • Gustavo Davi Rabelo Universidade Federal de Santa Catarina https://orcid.org/0000-0001-9511-5078

DOI:

https://doi.org/10.5935/2525-5711.20240237

Palabras clave:

Photography, Dental, Dimensional Measurement Accuracy, Software, Wounds and Injuries

Resumen

Lesion evaluation through photographs is a common clinical practice and its performance using computational tools is encouraged. Objective: To assess the reliability of the computer program SMART Monitoring (SM) in giving adequate lesion measurements through clinical photography. Materials and methods: A cross-sectional study was conducted with 28 patients diagnosed with oral or skin flat lesions. Each lesion was measured twice: clinically and by photographic image. Photographs were taken using a 3D-printed scale as a reference for SM measurements of the total lesional area (mm²) and the two longest axes (length and width) by two different operators. The agreement was evaluated between the axis’s measurements of the two operators with the clinic measurements by the Bland-Altman plot. Results: Both operators revealed excellent agreement (ICC=0.98) regarding measurements of the lesion’s axes and the total lesional area with no difference between operators. Comparison of the axes’ values from SM to clinical measurements were also not different (p=0.82 and p=0.43). The Bland-Altman plot revealed that most mean differences were within the 95% confidence interval. Conclusion: SMART Monitoring proved to be a reliable tool for measuring oral or skin flat lesions on clinical photographs, regarding length, width, and total area measurements. The values obtained using SMART Monitoring presented an excellent agreement with the clinical measurements.

Biografía del autor/a

Pedro Senna Witt, Universidade Federal de Santa Catarina

Odontologia

Vithória Rabelo Zimmer, Universidade Federal de Santa Catarina

Odontologia

Fabiane Smiderle, Universidade Federal de Santa Catarina

Odontologia

Liliane Janete Grando, Universidade Federal de Santa Catarina

Patologia

Juliana Balbinot Reis Girondi, Universidade Federal de Santa Catarina

Enfermagem

Ricardo Armini Caldas, Universidade Federal de Santa Catarina

Odontologia

Gustavo Davi Rabelo, Universidade Federal de Santa Catarina

Odontologia

Citas

Zadik Y, Orbach H, Panzok A, Smith Y, Czerninski R. Evaluation of oral mucosal diseases: inter- and intra-observer analyses. J Oral Pathol Med. 2012 Jan;41(1):68-72. DOI: https://doi.org/10.1111/j.1600-0714.2011.01070.x

Zimmermann C, Meurer MI, Lacerda JT, Mello ALSF, Grando LJ. The use of tools to support oral lesion description in oral medicine referrals. Braz Oral Res. 2017 Nov;31:e93. DOI: https://doi.org/10.1590/1807-3107BOR-2017.vol31.0093

Flanagan CE, Rhodus NL, Cole KA, Szabo E, Ondrey FG. Correlation analysis of oral lesion sizes by various standardized criteria. Am J Otolaryngol. 2016 Nov/Dec;37(6):502-6. DOI: https://doi.org/10.1016/j.amjoto.2016.07.004

Fonseca BB, Perdoncini NN, Silva VC, Gueiros LAM, Carrard VC, Lemos Junior CA, et al. Telediagnosis of oral lesions using smartphone photography. Oral Dis. 2022 Sep;28(6):1573-9. DOI: https://doi.org/10.1111/odi.13972

Flores APDC, Roxo-Gonçalves M, Batista NVR, Gueiros LA, Linares M, Santos-Silva AR, et al. Diagnostic accuracy of a telediagnosis service of oral mucosal diseases: a multicentric survey. Oral Surg Oral Med Oral Pathol Oral Radiol. 2022 Jul;134(1):65-72. DOI: https://doi.org/10.1016/j.oooo.2022.02.005

Yasue S, Ozeki M, Endo S, Ishihara T, Nishiguchi-Kurimoto M, Jinnin M, et al. Validation of measurement scores for evaluating vascular anomaly skin lesions. J Dermatol. 2021 Jul;48(7):993-8. DOI: https://doi.org/10.1111/1346-8138.15839

Kreft S, Kreft M, Resman A, Marko P, Kreft KZ. Computer-aided measurement of psoriatic lesion area in a multicenter clinical trial--comparison to physician's estimations. J Dermatol Sci. 2006 Oct;44(1):21-7. DOI: https://doi.org/10.1016/j.jdermsci.2006.05.006

Abreu M, Reis T, Gallo CB, Camargo AR, Grando LJ, Caldas RA, et al. Oral leukoplakia evaluation through clinical photography: classification, interactive segmentation, and automated binarization before going on Artificial Intelligence algorithms. J Oral Diagnosis. 2023;8(1):1-7. DOI: https://doi.org/10.5935/2525-5711.20230224

van Geel N, Saeys I, Van Causenbroeck J, Duponselle J, Grine L, Pauwels N, et al. Image analysis systems to calculate the surface area of vitiligo lesions: a systematic review of measurement properties. Pigment Cell Melanoma Res. 2022 Sep;35(5):480-94. DOI: https://doi.org/10.1111/pcmr.13056

Schaaf H, Malik CY, Howaldt HP, Streckbein P. Evolution of photography in maxillofacial surgery: from analog to 3D photography - an overview. Clin Cosmet Investig Dent. 2009 Sep;1:39-45. DOI: https://doi.org/10.2147/ccide.s6760

Shorey R, Moore K. Clinical digital photography: implementation of clinical photography for everyday practice. J Calif Dent Assoc. 2009 Mar;37(3):179-83.

Publicado

2024-01-28

Cómo citar

1.
Witt PS, Zimmer VR, Smiderle F, Grando LJ, Girondi JBR, Caldas RA, et al. SMART Monitoring computer program for oral and skin lesions measurements: analysis through clinical photography. J Oral Diagn [Internet]. 28 de enero de 2024 [citado 15 de noviembre de 2024];9:1-7. Disponible en: https://joraldiagnosis.com/revista/article/view/154

Número

Sección

Original Article