Reporting Sacroiliac Joint Imaging Performed for Known or Suspected Axial Spondyloarthritis: Assessment of SpondyloArthritis International Society Recommendations.
Torsten DiekhoffIris EshedChiara GiraudoHildrun HaibelKay-Geert A HermannManouk de HoogeLennart B O JansAnne Grethe JurikRobert G W LambertPedro M MachadoMichael MallinsonWalter P MaksymowychHelena Marzo-OrtegaVictoria Navarro-CompánMikkel ØstergaardSusanne J PedersenMonique ReijnierseMartin RudwaleitFernando Andrés SommerfleckUlrich WeberXenofon BaraliakosDenis PoddubnyyPublished in: Radiology (2024)
Whereas previous projects attempted to standardize imaging in patients with axial spondyloarthritis (axSpA), few studies have been published about the need for specific details regarding the image acquisition and lesions that may be less familiar to general radiologists. This work reports consensus recommendations developed by the Assessment of SpondyloArthritis International Society (ASAS) that aim to standardize the imaging reports in patients suspected of having or with known axSpA. A task force consisting of radiologists and rheumatologists from ASAS and one patient representative formulated two surveys that were completed by ASAS members. The results of these surveys led to the development of 10 recommendations that were endorsed by 73% (43 of 59) of ASAS members. The recommendations are targeted to the radiologist and include best practices for the inclusion of clinical information, technical details, image quality, and imaging findings in radiology reports. These recommendations also emphasize that imaging findings that indicate differential diagnoses and referral suggestions should be included in the concluding section of the radiology report. With these recommendations, ASAS aims to improve the diagnostic process and care for patients suspected of having or with known axSpA.
Keyphrases
- high resolution
- clinical practice
- artificial intelligence
- end stage renal disease
- ankylosing spondylitis
- healthcare
- disease activity
- ejection fraction
- newly diagnosed
- primary care
- pulmonary embolism
- image quality
- prognostic factors
- rheumatoid arthritis
- machine learning
- emergency department
- cross sectional
- systematic review
- fluorescence imaging
- photodynamic therapy
- mass spectrometry
- cancer therapy
- chronic pain