Validation of a multimodal algorithm for diagnosing giant cell arteritis with imaging
Autor: | Tifenn Leturcq, Rabih Hage, Gaëlle Clavel, Augustin Lecler, Julien Savatovsky, Jean-Claude Sadik, Thomas Sené, Aude Affortit, Hervé Picard, Catherine Vignal, Kevin Zuber, Georges Belangé, Frédérique Charbonneau |
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Rok vydání: | 2022 |
Předmět: |
Male
Biopsy Giant Cell Arteritis Sensitivity and Specificity McNemar's test medicine Suspected diagnosis Humans Radiology Nuclear Medicine and imaging Prospective Studies Retinal angiography Aged Ultrasonography Aged 80 and over Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Ultrasound Magnetic resonance imaging General Medicine Middle Aged medicine.disease Fluorescein angiography Predictive value Temporal Arteries Giant cell arteritis Female business Algorithm Algorithms |
Zdroj: | Diagnostic and Interventional Imaging. 103:103-110 |
ISSN: | 2211-5684 |
Popis: | Purpose The purpose of this study was to identify which combination of imaging modalities should be used to obtain the best diagnostic performance for the non-invasive diagnosis of giant cell arteritis (GCA). Materials and methods This IRB-approved prospective single-center study enrolled participants presenting with a suspected diagnosis of GCA from December 2014 to October 2017. Participants underwent high-resolution 3T magnetic resonance imaging (MRI), temporal and extra-cranial arteries ultrasound and retinal angiography (RA), prior to temporal artery biopsy (TAB). Diagnostic accuracy of each imaging modality alone, then a combination of several imaging modalities, was evaluated. Several algorithms were constructed to test optimal combinations using McNemar test. Results Forty-five participants (24 women, 21 men) with mean age of 75.4 ± 16 (SD) years (range: 59–94 years) were enrolled; of these 43/45 (96%) had ophthalmological symptoms. Diagnosis of GCA was confirmed in 25/45 (56%) patients. Sensitivity and specificity of MRI, ultrasound and RA alone were 100% (25/25; 95% CI: 86–100) and 86% (19/22; 95% CI: 65–97), 88% (22/25; 95% CI: 69–97) and 84% (16/19; 95% CI: 60–97), 94% (15/16; 95% CI: 70–100) and 74% (14/19; 95% CI: 49–91), respectively. Sensitivity, specificity, positive predictive and negative predictive values ranged from 95 to 100% (95% CI: 77–100), 67 to 100% (95% CI: 38–100), 81 to 100% (95% CI: 61–100) and 91 to 100% (95% CI: 59–100) when combining several imaging tests, respectively. The diagnostic algorithm with the overall best diagnostic performance was the one starting with MRI, followed either by ultrasound or RA, yielding 100% sensitivity (22/22; 95% CI: 85–100%) 100% (15/15; 95% CI: 78–100) and 100% accuracy (37/37; 95% CI: 91–100). Conclusion The use of MRI as the first imaging examination followed by either ultrasound or RA reaches high degrees of performance for the diagnosis of GCA and is recommended in daily practice. |
Databáze: | OpenAIRE |
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