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Differentiation of Early Sacroiliitis Using Machine-Learning- Supported Texture Analysis

Differentiation of Early Sacroiliitis Using Machine-Learning- Supported Texture Analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bd7dae9b511e4b79a28435520add5692

Differentiation of Early Sacroiliitis Using Machine-Learning- Supported Texture Analysis

About this item

Full title

Differentiation of Early Sacroiliitis Using Machine-Learning- Supported Texture Analysis

Publisher

Switzerland: MDPI AG

Journal title

Diagnostics (Basel), 2025-01, Vol.15 (2), p.209

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

We wished to compare the diagnostic performance of texture analysis (TA) against that of a visual qualitative assessment in identifying early sacroiliitis (nr-axSpA).
A total of 92 participants were retrospectively included at our university hospital institution, comprising 30 controls and 62 patients with axSpA, including 32 with nr-axSpA and 3...

Alternative Titles

Full title

Differentiation of Early Sacroiliitis Using Machine-Learning- Supported Texture Analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_bd7dae9b511e4b79a28435520add5692

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bd7dae9b511e4b79a28435520add5692

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics15020209

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