Differentiation of inflammatory papulosquamous skin diseases based on skin biophysical and ultrasonographic properties: A decision tree model.


Journal

Indian journal of dermatology, venereology and leprology
ISSN: 0973-3922
Titre abrégé: Indian J Dermatol Venereol Leprol
Pays: United States
ID NLM: 7701852

Informations de publication

Date de publication:
Historique:
pubmed: 11 10 2020
medline: 18 9 2021
entrez: 10 10 2020
Statut: ppublish

Résumé

The biophysical and ultrasonographic properties of the skin change in papulosquamous diseases. : To identify biophysical and ultrasonographic properties for the differentiation of five main groups of papulosquamous skin diseases. Fifteen biophysical and ultrasonographic parameters were measured by multiprobe adapter system and high-frequency ultrasonography in active lesions and normal control skin in patients with chronic eczema, psoriasis, lichen planus, pityriasis rosea and parapsoriasis/mycosis fungoides. Using histological diagnosis as a gold standard, a decision tree analysis was performed based on the mean percentage changes of these parameters [(lesion-control/control) ×100] for differentiation of the diseases. The accuracy of the decision tree model for differentiation of five diseases was 67% which developed based on changes in stratum corneum hydration, epidermal thickness, skin pH, melanin index, R0 (reciprocal of firmness) and erythema. Among the flowcharts for pairs of diseases, three models for differentiation had high accuracy (> 95%): those of psoriasis from lichen planus, pityriasis rosea, and parapsoriasis/mycosis fungoides. Validation studies on a larger sample size in situations where the diagnosis is unclear are needed to confirm the accuracy and applicability of decision trees. Skin biophysical and ultrasonographic properties may help in the differentiation of papulosquamous diseases as simple and non-invasive tools.

Sections du résumé

BACKGROUND BACKGROUND
The biophysical and ultrasonographic properties of the skin change in papulosquamous diseases.
AIMS OBJECTIVE
: To identify biophysical and ultrasonographic properties for the differentiation of five main groups of papulosquamous skin diseases.
METHODS METHODS
Fifteen biophysical and ultrasonographic parameters were measured by multiprobe adapter system and high-frequency ultrasonography in active lesions and normal control skin in patients with chronic eczema, psoriasis, lichen planus, pityriasis rosea and parapsoriasis/mycosis fungoides. Using histological diagnosis as a gold standard, a decision tree analysis was performed based on the mean percentage changes of these parameters [(lesion-control/control) ×100] for differentiation of the diseases.
RESULTS RESULTS
The accuracy of the decision tree model for differentiation of five diseases was 67% which developed based on changes in stratum corneum hydration, epidermal thickness, skin pH, melanin index, R0 (reciprocal of firmness) and erythema. Among the flowcharts for pairs of diseases, three models for differentiation had high accuracy (> 95%): those of psoriasis from lichen planus, pityriasis rosea, and parapsoriasis/mycosis fungoides.
LIMITATIONS CONCLUSIONS
Validation studies on a larger sample size in situations where the diagnosis is unclear are needed to confirm the accuracy and applicability of decision trees.
CONCLUSION CONCLUSIONS
Skin biophysical and ultrasonographic properties may help in the differentiation of papulosquamous diseases as simple and non-invasive tools.

Identifiants

pubmed: 33037158
pii: 297342
doi: 10.4103/ijdvl.IJDVL_842_19
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

752

Déclaration de conflit d'intérêts

None

Auteurs

Taraneh Yazdanparast (T)

Center for Research and Training in Skin Diseases and Leprosy, Tehran University of Medical Sciences, Tehran, Iran.

Kamran Yazdani (K)

Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Saman Ahmad Nasrollahi (S)

Center for Research and Training in Skin Diseases and Leprosy, Tehran University of Medical Sciences, Tehran, Iran.

Milad Nazari (M)

Electrical Engineering Department, Sharif University of Technology, Tehran, Iran.

Reza Darooei (R)

Department of Bioelectronic and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Alireza Firooz (A)

Center for Research and Training in Skin Diseases and Leprosy; Clinical Trial Center, Tehran University of Medical Sciences, Tehran, Iran.

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Classifications MeSH