Szczegóły publikacji
Opis bibliograficzny
The semi-automated algorithm for the detection of bone marrow oedema lesions in patients with axial spondyloarthritis / Iwona Kucybała, Zbisław TABOR, Jakub Polak, Andrzej Urbanik, Wadim Wojciechowski // Rheumatology International ; ISSN 0172-8172. — 2020 — vol. 40 iss. 4, s. 625–633. — Bibliogr. s. 632–633, Abstr. — Publikacja dostępna online od: 2020-01-18. — European Congress of Radiology : Vienna, MAR 11-15, 2020
Autorzy (5)
- Kucybała Iwona
- AGHTabor Zbisław
- Polak Jakub
- Urbanik Andrzej
- Wojciechowski Wadim
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 128238 |
|---|---|
| Data dodania do BaDAP | 2020-04-06 |
| Tekst źródłowy | URL |
| DOI | 10.1007/s00296-020-04511-w |
| Rok publikacji | 2020 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Rheumatology International |
Abstract
The aim of the study was to create the efficient tool for semi-automated detection of bone marrow oedema lesions in patients with axial spondyloarthritis (axSpA). MRI examinations of 22 sacroiliac joints of patients with confirmed axSpA-related sacroiliitis (median SPARCC score: 14 points) were included into the study. Design of our algorithm is based on Maksymowych et al. evaluation method and consists of the following steps: manual segmentation of bones (T1W sequence), automated detection of reference signal region, sacroiliac joint central lines and ROIs, a division of ROIs into quadrants, automated detection of inflammatory changes (STIR sequence). As a gold standard, two sets of manual lesion delineations were created. Two approaches to the performance assessment of lesion detection were considered: pixel-wise (detections compared pixel by pixel) and quadrant-wise (quadrant to quadrant). Statistical analysis was performed using Spearman's correlation coefficient. Correlation coefficient obtained for pixel-wise comparison of semi-automated and manual detections was 0.87 (p = 0.001), while for quadrant-wise analysis was 0.83 (p = 0.001). The correlation between two sets of manual detections was 0.91 for pixel-wise comparison (p = 0.001) and 0.88 (p = 0.001) for quadrant-wise approach. Spearman's correlation between two manual assessments was not statistically different from the correlation between semi-automated and manual evaluations, both for pixel- (p = 0.14) and quadrant-wise (p = 0.17) analysis. Average single slice processing time: 0.64 +/- 0.30 s. Our method allows for objective detection of bone marrow oedema lesions in patients with axSpA. The quantification of affected pixels and quadrants has comparable reliability to manual assessment.
