BioMedical Engineering OnLine | |
Functional-thermoregulatory model for the differential diagnosis of psoriatic arthritis | |
Enas Ismail2  Alessandra Capo1  Paolo Amerio1  Arcangelo Merla2  | |
[1] Department of medicine and Aging Science, University “G. d’Annunzio”, Chieti-Pescara, Italy | |
[2] ITAB -Institute of Advanced Biomedical Technologies, Via dei Vestini, 32, 66013 Chieti, Italy | |
关键词: Multinomial logistic regression; Isometric exercise; Thermal infrared imaging; Psoriatic arthritis; Modeling; Cutaneous temperature; Control system; | |
Others : 1097929 DOI : 10.1186/1475-925X-13-162 |
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received in 2014-07-11, accepted in 2014-12-05, 发布年份 2014 | |
【 摘 要 】
Introduction
Psoriasis arthritis (PsA) is a chronic inflammatory arthritis of joints of uncertain pathogenesis. PsA may lead to severe disabilities even in the absence of any clinical symptom. Therefore, PsA diagnosis in its early stages is critical.
Material and methods
This study uses Control System theory to model finger skin thermoregulatory processes overlying the hand joint in response to an isometric exercise. The proposed model is based on a homeostatic negative feedback loop characterized by four distinct parameters that describe how the control mechanisms are activated and maintained. Thermal infrared imaging was used to record a total of 280 temperature curves of 14 finger joints for each of 11 PsA patients and 9 healthy controls.
Result and conclusion
PsA patients presented delayed and prolonged re-warming processes characterized by the undershoot onset after the end of the isometric exercise followed by a faster temperature increase. Region classification on the basis of the model parameters demonstrated that the interphalageal joint region of thumb better discriminates between patients and controls, providing 100% true-positive discrimination for PsA affected regions and 88.89% of correct classification of healthy regions. Even proved over a limited number of subjects, the proposed method may provide useful hints for early differential diagnosis in the IR assessment of PsA disease.
【 授权许可】
2014 Ismail et al.; licensee BioMed Central.
【 预 览 】
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