An approach leveraging radiomics and model checking for the automatic early diagnosis of adhesive capsulitis

Adhesive Capsulitis of the shoulder is a painful pathology limiting shoulder movements, commonly known as “Frozen Shoulder”. Since this pathology limits movement, it is important to make an early diagnosis. Diagnosing capsulitis relies on clinical assessment, although diagnostic imaging, such as Mag...

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Bibliographic Details
Published in:Scientific reports 2024-08, Vol.14 (1), p.18878-10
Main Authors: Varriano, Giulia, Nardone, Vittoria, Brunese, Maria Chiara, Bruno, Michela, Santone, Antonella, Brunese, Luca, Zappia, Marcello
Format: Article
Language:English
Subjects:
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Adhesives
Aged
Artificial intelligence
Bursitis - diagnosis
Bursitis - diagnostic imaging
Diagnosis
Early Diagnosis
Female
Formal methods
Frozen shoulder
Humanities and Social Sciences
Humans
Joint diseases
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medical imaging
Methods
Middle Aged
Model checking
multidisciplinary
Pathology
Performance evaluation
Radiomics
Science
Science (multidisciplinary)
Shoulder
Shoulder Joint - diagnostic imaging
Shoulder Joint - pathology
Software
Temporal logic
Tomography
Ultrasonic imaging
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Description
Summary:Adhesive Capsulitis of the shoulder is a painful pathology limiting shoulder movements, commonly known as “Frozen Shoulder”. Since this pathology limits movement, it is important to make an early diagnosis. Diagnosing capsulitis relies on clinical assessment, although diagnostic imaging, such as Magnetic Resonance Imaging, can provide predictive or supportive information for specific characteristic signs. However, its diagnosis is not so simple nor so immediate, indeed it remains a difficult topic for many general radiologists and expert musculoskeletal radiologists. This study aims to investigate whether it is possible to use disease signs within a medical image to automatically diagnose Adhesive Capsulitis. To this purpose, we propose an automatic Model Checking-based approach to quickly diagnose the Adhesive Capsulitis taking as input the radiomic feature values from the medical images. Furthermore, we compare the performance achieved by our method with diagnostic results obtained by professional radiologists with different levels of experience. To the best of our knowledge, this is the first method for the automatic diagnosis of Adhesive Capsulitis of the Shoulder.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-69392-6