Literature DB >> 30207022

Management of clinical and subclinical actinic keratoses with histological and immunohistochemical assessments by confocal microscopy.

Caterina Mazzella1, Vincenzo Greco1, Claudia Costa1, Massimiliano Scalvenzi1, Daniela Russo2, Riccardo Savastano3, Stefania Staibano2, Gabriella Fabbrocini1.   

Abstract

Reflectance confocal microscopy has been used to monitor treatment efficacy in non-melanoma skin cancer, but few studies have compared different therapies using the same confocal criteria. We compare a single score designed in previous study to evaluate confocal, histological, and immunohistochemical results obtained before and after two treatments of actinic keratosis (AK) and in field cancerisation area. Thirty volunteer male patients, aged >50-year old, with at least three clinically visible AKs on the bald scalp, were included in this study: 15 patients were submitted to 3% diclofenac therapy and 15 to 5% fluorouracil therapy. Confocal imaging was performed on a 5 × 5 cm skin area. In five patients of each group we performed cutaneous biopsies. Scaling, upper nucleated cells, and inflammatory cells showed a higher percentage reduction in field cancerisation, especially in diclofenac treatment group, while in AK inflammatory cells showed a greater percentage reduction in 5-fluorouracil treatment group. Both therapies are efficacious, but their effectiveness is different on the single parameters of the confocal, histology, immunohistochemically.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  actinic keratosis; skin tumor; topical treatment

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Year:  2018        PMID: 30207022     DOI: 10.1111/dth.12672

Source DB:  PubMed          Journal:  Dermatol Ther        ISSN: 1396-0296            Impact factor:   2.851


  2 in total

1.  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

2.  AK-DL: A Shallow Neural Network Model for Diagnosing Actinic Keratosis with Better Performance Than Deep Neural Networks.

Authors:  Liyang Wang; Angxuan Chen; Yan Zhang; Xiaoya Wang; Yu Zhang; Qun Shen; Yong Xue
Journal:  Diagnostics (Basel)       Date:  2020-04-13
  2 in total

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