Literature DB >> 27720188

Usefulness of High-Frequency Ultrasound in the Classification of Histologic Subtypes of Primary Basal Cell Carcinoma.

C Hernández-Ibáñez1, N Blazquez-Sánchez2, M Aguilar-Bernier2, R Fúnez-Liébana3, F Rivas-Ruiz4, M de Troya-Martín2.   

Abstract

INTRODUCTION: Incisional biopsy may not always provide a correct classification of histologic subtypes of basal cell carcinoma (BCC). High-frequency ultrasound (HFUS) imaging of the skin is useful for the diagnosis and management of this tumor.
OBJECTIVES: The main aim of this study was to compare the diagnostic value of HFUS compared with punch biopsy for the correct classification of histologic subtypes of primary BCC. We also analyzed the influence of tumor size and histologic subtype (single subtype vs. mixed) on the diagnostic yield of HFUS and punch biopsy.
METHODS: Retrospective observational study of primary BCCs treated by the Dermatology Department of Hospital Costa del Sol in Marbella, Spain, between october 2013 and may 2014. Surgical excision was preceded by HFUS imaging (Dermascan C©, 20-MHz linear probe) and a punch biopsy in all cases. We compared the overall diagnostic yield and accuracy (sensitivity, specificity, positive predictive value [PPV], and negative predictive value [NPV]) of HFUS and punch biopsy against the gold standard (excisional biopsy with serial sections) for overall and subgroup results.
RESULTS: We studied 156 cases. The overall diagnostic yield was 73.7% for HFUS (sensitivity, 74.5%; specificity, 73%) and 79.9% for punch biopsy (sensitivity, 76%; specificity, 82%). In the subgroup analyses, HFUS had a PPV of 93.3% for superficial BCC (vs. 92% for punch biopsy). In the analysis by tumor size, HFUS achieved an overall diagnostic yield of 70.4% for tumors measuring 40mm2 or less and 77.3% for larger tumors; the NPV was 82% in both size groups. Punch biopsy performed better in the diagnosis of small lesions (overall diagnostic yield of 86.4% for lesions ≤40mm2 vs. 72.6% for lesions >40mm2).
CONCLUSIONS: HFUS imaging was particularly useful for ruling out infiltrating BCCs, diagnosing simple, superficial BCCs, and correctly classifying BCCs larger than 40mm2.
Copyright © 2016 AEDV. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Basal cell carcinoma; Carcinoma basocelular; Ecografía; Ultrasound

Mesh:

Year:  2016        PMID: 27720188     DOI: 10.1016/j.ad.2016.08.002

Source DB:  PubMed          Journal:  Actas Dermosifiliogr        ISSN: 0001-7310


  5 in total

Review 1.  Emerging imaging technologies in dermatology: Part II: Applications and limitations.

Authors:  Samantha L Schneider; Indermeet Kohli; Iltefat H Hamzavi; M Laurin Council; Anthony M Rossi; David M Ozog
Journal:  J Am Acad Dermatol       Date:  2018-12-04       Impact factor: 11.527

2.  High-frequency ultrasound features of basal cell carcinoma and its association with histological recurrence risk.

Authors:  Shi-Qi Wang; Jie Liu; Qing-Li Zhu; Chen-Yang Zhao; Tao Qu; Feng Li; Ximena Wortsman; Hong-Zhong Jin
Journal:  Chin Med J (Engl)       Date:  2019-09-05       Impact factor: 2.628

3.  Extended-wavelength diffuse reflectance spectroscopy with a machine-learning method for in vivo tissue classification.

Authors:  Ulf Dahlstrand; Rafi Sheikh; Cu Dybelius Ansson; Khashayar Memarzadeh; Nina Reistad; Malin Malmsjö
Journal:  PLoS One       Date:  2019-10-10       Impact factor: 3.240

4.  High-frequency ultrasound: an essential non-invasive tool for the pre-therapeutic assessment of basal cell carcinoma.

Authors:  Raluca Maria Bungărdean; Mircea Sebastian Şerbănescu; Horaţiu Alexandru Colosi; Maria Crişan
Journal:  Rom J Morphol Embryol       Date:  2021 Apr-Jun       Impact factor: 1.033

5.  Preliminary Clinical Experience with a Novel Optical-Ultrasound Imaging Device on Various Skin Lesions.

Authors:  Gergely Csány; László Hunor Gergely; Norbert Kiss; Klára Szalai; Kende Lőrincz; Lilla Strobel; Domonkos Csabai; István Hegedüs; Péter Marosán-Vilimszky; Krisztián Füzesi; Miklós Sárdy; Miklós Gyöngy
Journal:  Diagnostics (Basel)       Date:  2022-01-15
  5 in total

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