Literature DB >> 26274903

Grading keratinocyte atypia in actinic keratosis: a correlation of reflectance confocal microscopy and histopathology.

G Pellacani1, M Ulrich2, A Casari1, T W Prow3, F Cannillo4, E Benati1, A Losi1, A M Cesinaro5, C Longo6, G Argenziano6, H P Soyer3.   

Abstract

BACKGROUND: Actinic Keratosis (AK) is the clinical manifestation of cutaneous dysplasia of epidermal keratinocytes, with progressive trend towards squamous cell carcinoma.
OBJECTIVE: To evaluate the strength of the correlation between keratinocyte atypia, as detected by Reflectance Confocal Microscopy (RCM) and histopathology, and to develop a more objective atypia grading scale for RCM quantification, through a discrete ranking.
METHODS: A total of 48 AKs and two control areas (photodamaged and non-photodamaged skin) were selected for this study. All these areas were documented by RCM and biopsied for histopathology. One representative image of the epidermis was selected for RCM and for histopathology and used for side-by-side comparison with purpose written software. The assessor chose which of two images displayed more keratinocyte atypia, and an ordered list from the image showing the least to the most keratinocyte atypia was generated. Three evaluations were obtained for RCM and two for histopathology.
RESULTS: Good interobserver correlation was obtained for RCM and histopathology grading, with high concordance between RCM and histopathology grading.
CONCLUSIONS: Expert rater scan consistently distinguish different grades of cytological atypia. Non-invasive RCM data from in vivo imaging can be graded for keratinocyte atypia, comparable to histopathological grading.
© 2015 European Academy of Dermatology and Venereology.

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Year:  2015        PMID: 26274903     DOI: 10.1111/jdv.13215

Source DB:  PubMed          Journal:  J Eur Acad Dermatol Venereol        ISSN: 0926-9959            Impact factor:   6.166


  4 in total

Review 1.  Actinic Keratosis and Non-Invasive Diagnostic Techniques: An Update.

Authors:  Alice Casari; Johanna Chester; Giovanni Pellacani
Journal:  Biomedicines       Date:  2018-01-08

2.  Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning.

Authors:  Sébastien Fischman; Javiera Pérez-Anker; Linda Tognetti; Angelo Di Naro; Mariano Suppa; Elisa Cinotti; Théo Viel; Jilliana Monnier; Pietro Rubegni; Véronique Del Marmol; Josep Malvehy; Susana Puig; Arnaud Dubois; Jean-Luc Perrot
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.379

3.  In Vivo Reflectance Confocal Microscopy as a Response Monitoring Tool for Actinic Keratoses Undergoing Cryotherapy and Photodynamic Therapy.

Authors:  Clara Curiel-Lewandrowski; Caitlyn N Myrdal; Kathylynn Saboda; Chengcheng Hu; Edith Arzberger; Giovanni Pellacani; Franz Josef Legat; Martina Ulrich; Petra Hochfellner; Margaret C Oliviero; Paola Pasquali; Melissa Gill; Rainer Hofmann-Wellenhof
Journal:  Cancers (Basel)       Date:  2021-10-31       Impact factor: 6.575

Review 4.  New insights from non-invasive imaging: from prospection of skin photodamages to training with mobile application.

Authors:  G Pellacani; G Argenziano
Journal:  J Eur Acad Dermatol Venereol       Date:  2022-06       Impact factor: 9.228

  4 in total

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