Literature DB >> 27056706

Correlation of histological and ex-vivo confocal tumor thickness in malignant melanoma.

Daniela Hartmann1,2, Sebastian Krammer3, Cristel Ruini3,4, Thomas Ruzicka3,4, Tanja von Braunmühl3,4.   

Abstract

The ex-vivo confocal laser scanning microscopy (ex-vivo CLSM) is a novel diagnostic method for fresh tissue examination, which has already shown promising results in the evaluation of healthy skin and different skin tumors. In malignant melanoma, the histological tumor thickness plays an essential role for further treatment strategies. The immediate perioperative measurement of tumor thickness by means of ex-vivo CLSM might accelerate the decision for further operating procedures in malignant melanoma. Ten histologically confirmed malignant melanomas from various donor sites were blindly examined by two investigators via ex-vivo CLSM and conventional light microscopy. The histopathological tumor thickness (HTT) and confocal tumor thickness (CTT) were measured independently and evaluated using correlation curves, Spearman's correlation coefficient, and Bland-Altman plots. Bland-Altman plots for HTT and reflectance-mode CTT, as well as for fluorescence-mode CTT, showed high correlations. Spearman's correlation coefficient of HTT and CTT was 1.00 in FM and RM. The mean difference of RM-CTT and FM-CTT versus HTT was 0.09 ± 0.30 mm and 0.19 ± 0.35 mm. In one case, the HTT was identical to the CTT in both modes. This pilot study shows high conformity of CTT and HTT measured in malignant melanoma underlining the potential of ex-vivo CLSM for perioperative decisions on safety margin excisions of malignant melanoma in the future.

Entities:  

Keywords:  Fluorescence; Malignant melanoma; Reflectance confocal microscopy; Tumor thickness

Mesh:

Year:  2016        PMID: 27056706     DOI: 10.1007/s10103-016-1936-5

Source DB:  PubMed          Journal:  Lasers Med Sci        ISSN: 0268-8921            Impact factor:   3.161


  22 in total

1.  Malignant melanoma S3-guideline "diagnosis, therapy and follow-up of melanoma".

Authors:  Annette Pflugfelder; Corinna Kochs; Andreas Blum; Marcus Capellaro; Christina Czeschik; Therese Dettenborn; Dorothee Dill; Edgar Dippel; Thomas Eigentler; Petra Feyer; Markus Follmann; Bernhard Frerich; Maria-Katharina Ganten; Jan Gärtner; Ralf Gutzmer; Jessica Hassel; Axel Hauschild; Peter Hohenberger; Jutta Hübner; Martin Kaatz; Ulrich R Kleeberg; Oliver Kölbl; Rolf-Dieter Kortmann; Albrecht Krause-Bergmann; Peter Kurschat; Ulrike Leiter; Hartmut Link; Carmen Loquai; Christoph Löser; Andreas Mackensen; Friedegund Meier; Peter Mohr; Matthias Möhrle; Dorothee Nashan; Sven Reske; Christian Rose; Christian Sander; Imke Satzger; Meinhard Schiller; Heinz-Peter Schlemmer; Gerhard Strittmatter; Cord Sunderkötter; Lothar Swoboda; Uwe Trefzer; Raymond Voltz; Dirk Vordermark; Michael Weichenthal; Andreas Werner; Simone Wesselmann; Ansgar J Weyergraf; Wolfgang Wick; Claus Garbe; Dirk Schadendorf
Journal:  J Dtsch Dermatol Ges       Date:  2013-08       Impact factor: 5.584

2.  Ex vivo fluorescence confocal microscopy for fast evaluation of tumour margins during Mohs surgery.

Authors:  A Bennàssar; A Vilata; S Puig; J Malvehy
Journal:  Br J Dermatol       Date:  2014-02       Impact factor: 9.302

3.  Ex Vivo Fluorescence Confocal Microscopy of Eccrine Syringomatous Carcinoma: A Report of 2 Cases.

Authors:  Caterina Longo; Moira Ragazzi; Stefano Gardini; Elvira Moscarella; Giuseppe Argenziano
Journal:  JAMA Dermatol       Date:  2015-09       Impact factor: 10.282

Review 4.  In vivo confocal microscopy in dermatology: from research to clinical application.

Authors:  Martina Ulrich; Susanne Lange-Asschenfeldt
Journal:  J Biomed Opt       Date:  2013-06       Impact factor: 3.170

5.  Thickness, cross-sectional areas and depth of invasion in the prognosis of cutaneous melanoma.

Authors:  A Breslow
Journal:  Ann Surg       Date:  1970-11       Impact factor: 12.969

Review 6.  Ultraviolet-induced pigmentary changes: benefits and hazards.

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7.  Noninvasive in vivo detection and quantification of Demodex mites by confocal laser scanning microscopy.

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Journal:  Br J Dermatol       Date:  2012-11       Impact factor: 9.302

8.  In vivo confocal microscopy for diagnosis of melanoma and basal cell carcinoma using a two-step method: analysis of 710 consecutive clinically equivocal cases.

Authors:  Pascale Guitera; Scott W Menzies; Caterina Longo; Anna M Cesinaro; Richard A Scolyer; Giovanni Pellacani
Journal:  J Invest Dermatol       Date:  2012-06-21       Impact factor: 8.551

9.  Identification of ex-vivo confocal laser scanning microscopic features of melanocytic lesions and their histological correlates.

Authors:  Daniela Hartmann; Cristel Ruini; Leonie Mathemeier; Mario Raphael Bachmann; Andreas Dietrich; Thomas Ruzicka; Tanja von Braunmühl
Journal:  J Biophotonics       Date:  2016-04-19       Impact factor: 3.207

10.  Primary cutaneous melanoma. Optimized cutoff points of tumor thickness and importance of Clark's level for prognostic classification.

Authors:  P Büttner; C Garbe; J Bertz; G Burg; B d'Hoedt; H Drepper; I Guggenmoos-Holzmann; W Lechner; A Lippold; C E Orfanos
Journal:  Cancer       Date:  1995-05-15       Impact factor: 6.860

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  5 in total

Review 1.  [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

2.  Ex vivo fluorescence confocal microscopy: prostatic and periprostatic tissues atlas and evaluation of the learning curve.

Authors:  Laura Bertoni; Stefano Puliatti; Luca Reggiani Bonetti; Antonino Maiorana; Ahmed Eissa; Paola Azzoni; Luigi Bevilacqua; Valentina Spandri; Shaniko Kaleci; Ahmed Zoeir; Maria Chiara Sighinolfi; Salvatore Micali; Giampaolo Bianchi; Giovanni Pellacani; Bernardo Rocco; Rodolfo Montironi
Journal:  Virchows Arch       Date:  2020-01-06       Impact factor: 4.064

3.  Ex vivo confocal microscopy: an emerging technique in dermatology.

Authors:  Elisa Cinotti; Jean Luc Perrot; Bruno Labeille; Frédéric Cambazard; Pietro Rubegni
Journal:  Dermatol Pract Concept       Date:  2018-04-30

4.  Multispectral Imaging Algorithm Predicts Breslow Thickness of Melanoma.

Authors:  Szabolcs Bozsányi; Noémi Nóra Varga; Klára Farkas; András Bánvölgyi; Kende Lőrincz; Ilze Lihacova; Alexey Lihachev; Emilija Vija Plorina; Áron Bartha; Antal Jobbágy; Enikő Kuroli; György Paragh; Péter Holló; Márta Medvecz; Norbert Kiss; Norbert M Wikonkál
Journal:  J Clin Med       Date:  2021-12-30       Impact factor: 4.241

5.  Line-Field Confocal Optical Coherence Tomography: A New Tool for the Differentiation between Nevi and Melanomas?

Authors:  Sandra Schuh; Cristel Ruini; Maria Katharina Elisabeth Perwein; Fabia Daxenberger; Charlotte Gust; Elke Christina Sattler; Julia Welzel
Journal:  Cancers (Basel)       Date:  2022-02-23       Impact factor: 6.639

  5 in total

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