Literature DB >> 25346218

Histopathological examination of nail clippings using PAS staining (HPE-PAS): gold standard in diagnosis of Onychomycosis.

Shazia Jeelani1, Qazi Masood Ahmed, Audil Mohmad Lanker, Iffat Hassan, Nasir Jeelani, Tawheeda Fazili.   

Abstract

Onychomycosis is fungal infection of one or more of the nail units. However, because fungi cause only about half of all nail dystrophies, the use of appropriate diagnostic techniques is important to ensure correct diagnosis and treatment. Aim of the present study was to compare direct microscopy, culture and HPE-PAS for diagnosis of onychomycosis by evaluating their sensitivity and various other relevant statistical parameters. A prospective, hospital-based, cross-sectional study was conducted on 216 patients with a high degree of clinical suspicion of onychomycosis. Nail specimens were evaluated using three diagnostic methods, i.e. direct microscopy using 20% Potassium hydroxide (KOH) & 40% Di-methyl-suphoxide (DMSO), culture and histopathological examination using PAS stain (HPE-PAS). Of 216 patients direct microscopy was positive in 138 (63.9%), culture in 147 (68%) and HPE-PAS in 164 patients (76%). One hundred and seventy-nine patients fitted into the criteria set for confirmed diagnosis of onychomycosis. Using this as a denominator; direct microscopy, culture and HPE-PAS had sensitivities of 77.1%, 70% and 91.6% respectively. Also, HPE-PAS showed the highest sensitivity of 94.7% in 19 cases with prediagnostic antimycotic treatment compared to direct microscopy (42.1%) or culture (57.9%). HPE-PAS shows high sensitivity for diagnosis of onychomycosis and can be considered as a gold standard in the diagnosis of onychomycosis.
© 2014 Blackwell Verlag GmbH.

Entities:  

Keywords:  HPE-PAS; gold standard; histology; onychomycosis

Mesh:

Substances:

Year:  2014        PMID: 25346218     DOI: 10.1111/myc.12251

Source DB:  PubMed          Journal:  Mycoses        ISSN: 0933-7407            Impact factor:   4.377


  7 in total

1.  Interactive thyroid whole slide image diagnostic system using deep representation.

Authors:  Pingjun Chen; Xiaoshuang Shi; Yun Liang; Yuan Li; Lin Yang; Paul D Gader
Journal:  Comput Methods Programs Biomed       Date:  2020-06-27       Impact factor: 5.428

2.  Automatic Whole Slide Pathology Image Diagnosis Framework via Unit Stochastic Selection and Attention Fusion.

Authors:  Pingjun Chen; Yun Liang; Xiaoshuang Shi; Lin Yang; Paul Gader
Journal:  Neurocomputing       Date:  2021-01-23       Impact factor: 5.779

3.  Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.

Authors:  Seung Seog Han; Gyeong Hun Park; Woohyung Lim; Myoung Shin Kim; Jung Im Na; Ilwoo Park; Sung Eun Chang
Journal:  PLoS One       Date:  2018-01-19       Impact factor: 3.240

Review 4.  Meta-analysis of the utility of culture, biopsy, and direct KOH examination for the diagnosis of onychomycosis.

Authors:  Verónica Velasquez-Agudelo; Jaiberth Antonio Cardona-Arias
Journal:  BMC Infect Dis       Date:  2017-02-22       Impact factor: 3.090

Review 5.  Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence.

Authors:  Sophie Soyeon Lim; Jungyoon Ohn; Je-Ho Mun
Journal:  Front Med (Lausanne)       Date:  2021-04-15

6.  Nail clipping in onychomycosis.

Authors:  Laura Bertanha; Nilton Di Chiacchio
Journal:  An Bras Dermatol       Date:  2016 Sep-Oct       Impact factor: 1.896

7.  The Role of Scanning Electron Microscopy in the Direct Diagnosis of Onychomycosis.

Authors:  Xueping Yue; Aiping Wang; Qing Li
Journal:  Scanning       Date:  2018-01-09       Impact factor: 1.932

  7 in total

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