Literature DB >> 24147614

Non-invasive in vivo dermatopathology: identification of reflectance confocal microscopic correlates to specific histological features seen in melanocytic neoplasms.

M Gill1, C Longo, F Farnetani, A M Cesinaro, S González, G Pellacani.   

Abstract

BACKGROUND: Reflectance confocal microscopy (RCM) allows for non-invasive, in vivo evaluation of skin lesions and it has been extensively applied in skin oncology although systematic studies on nevi characterization are still lacking.
OBJECTIVE: The aim of this study was to determine whether reliable RCM correlates to histological features used to diagnose melanocytic neoplasms exist.
METHODS: We blindly evaluated the RCM and histological features of 64 melanocytic neoplasms (19 non-dysplastic nevi, 27 dysplastic nevi, 14 melanomas) and analysed the data using Spearman's rho calculation.
RESULTS: Many histological features can be identified using RCM. Elongated rete ridges corresponded on RCM to edge papillae, whereas flattened rete ridges to several features which involve dermal-epidermal junction disruption. Bridging of junctional nesting (JN) corresponded on RCM to both JN with irregular size/shape and JN with short interconnections. While we could reliably identify dermal melanocytes, the RCM features did not reliably distinguish between benign and concerning dermal melanocytic arrangements, suggesting further refinement of dermal melanocytic RCM features is needed.
CONCLUSION: Reliable correlates for epidermal and junctional histological features used to diagnose melanocytic neoplasms are identifiable on RCM, suggesting harnessing histological criteria may be a reasonable method to move beyond the algorithmic approach.
© 2013 European Academy of Dermatology and Venereology.

Entities:  

Mesh:

Year:  2013        PMID: 24147614     DOI: 10.1111/jdv.12285

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


  10 in total

1.  Automated delineation of dermal-epidermal junction in reflectance confocal microscopy image stacks of human skin.

Authors:  Sila Kurugol; Kivanc Kose; Jennifer G Dy; Dana H Brooks; Milind Rajadhyaksha; Brian Park
Journal:  J Invest Dermatol       Date:  2014-09-03       Impact factor: 8.551

2.  A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin.

Authors:  Sindhu Ghanta; Michael I Jordan; Kivanc Kose; Dana H Brooks; Milind Rajadhyaksha; Jennifer G Dy
Journal:  IEEE Trans Image Process       Date:  2016-10-05       Impact factor: 10.856

Review 3.  [Ex vivo confocal laser scanning microscopy for melanocytic lesions and autoimmune diseases].

Authors:  D Hartmann
Journal:  Hautarzt       Date:  2021-10-27       Impact factor: 0.751

4.  Angulated small nests and cords: Key diagnostic histopathologic features of infiltrative basal cell carcinoma can be identified using integrated reflectance confocal microscopy-optical coherence tomography.

Authors:  Melissa Gill; Aditi Sahu; Christi Alessi-Fox; Miguel Cordova; Salvador Gonzalez; Nicusor Iftimia; Saud Aleissa; Cristian Navarrete-Dechent; Stephen Dusza; Anthony Rossi; Ashfaq A Marghoob; Milind Rajadhyaksha; Chih-Shan J Chen
Journal:  J Cutan Pathol       Date:  2020-10-12       Impact factor: 1.587

5.  Comparative Analysis of Diagnostic Techniques for Melanoma Detection: A Systematic Review of Diagnostic Test Accuracy Studies and Meta-Analysis.

Authors:  Alessia Blundo; Arianna Cignoni; Tommaso Banfi; Gastone Ciuti
Journal:  Front Med (Lausanne)       Date:  2021-04-21

6.  Reflectance confocal microscopy terminology glossary for melanocytic skin lesions: A systematic review.

Authors:  Cristian Navarrete-Dechent; Konstantinos Liopyris; Jilliana Monnier; Saud Aleissa; Lindsay M Boyce; Caterina Longo; Margaret Oliviero; Harold Rabinovitz; Ashfaq A Marghoob; Allan C Halpern; Giovanni Pellacani; Alon Scope; Manu Jain
Journal:  J Am Acad Dermatol       Date:  2020-05-23       Impact factor: 11.527

7.  Reflectance confocal microscopy for diagnosing cutaneous melanoma in adults.

Authors:  Jacqueline Dinnes; Jonathan J Deeks; Daniel Saleh; Naomi Chuchu; Susan E Bayliss; Lopa Patel; Clare Davenport; Yemisi Takwoingi; Kathie Godfrey; Rubeta N Matin; Rakesh Patalay; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

8.  Reflectance confocal microscopy for diagnosing keratinocyte skin cancers in adults.

Authors:  Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Daniel Saleh; Susan E Bayliss; Yemisi Takwoingi; Clare Davenport; Lopa Patel; Rubeta N Matin; Colette O'Sullivan; Rakesh Patalay; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

9.  Improving diagnostic sensitivity of combined dermoscopy and reflectance confocal microscopy imaging through double reader concordance evaluation in telemedicine settings: A retrospective study of 1000 equivocal cases.

Authors:  A M Witkowski; J Łudzik; F Arginelli; S Bassoli; E Benati; A Casari; N De Carvalho; B De Pace; F Farnetani; A Losi; M Manfredini; C Reggiani; J Malvehy; G Pellacani
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

10.  Skin strata delineation in reflectance confocal microscopy images using recurrent convolutional networks with attention.

Authors:  Alican Bozkurt; Kivanc Kose; Jaume Coll-Font; Christi Alessi-Fox; Dana H Brooks; Jennifer G Dy; Milind Rajadhyaksha
Journal:  Sci Rep       Date:  2021-06-15       Impact factor: 4.379

  10 in total

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