Canadian Association of Radiologists Thoracic Imaging Referral Guideline.
Candyce HamelBarb AvardCatherine BelangerPatrick BourgouinStephen LamDaria ManosAlan MichaudBrian H RoweKevin SandersAna-Maria BilawichPublished in: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes (2023)
The Canadian Association of Radiologists (CAR) Thoracic Expert Panel consists of radiologists, respirologists, emergency and family physicians, a patient advisor, and an epidemiologist/guideline methodologist. After developing a list of 24 clinical/diagnostic scenarios, a rapid scoping review was undertaken to identify systematically produced referral guidelines that provide recommendations for one or more of these clinical/diagnostic scenarios. Recommendations from 30 guidelines and contextualization criteria in the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) for guidelines framework were used to develop 48 recommendation statements across the 24 scenarios. This guideline presents the methods of development and the referral recommendations for screening/asymptomatic individuals, non-specific chest pain, hospital admission for non-thoracic conditions, long-term care admission, routine pre-operative imaging, post-interventional chest procedure, upper respiratory tract infection, acute exacerbation of asthma, acute exacerbation of chronic obstructive pulmonary disease, suspect pneumonia, pneumonia follow-up, immunosuppressed patient with respiratory symptoms/febrile neutropenia, chronic cough, suspected pneumothorax (non-traumatic), clinically suspected pleural effusion, hemoptysis, chronic dyspnea of non-cardiovascular origin, suspected interstitial lung disease, incidental lung nodule, suspected mediastinal lesion, suspected mediastinal lymphadenopathy, and elevated diaphragm on chest radiograph.
Keyphrases
- clinical practice
- respiratory failure
- pulmonary embolism
- primary care
- respiratory tract
- chronic obstructive pulmonary disease
- interstitial lung disease
- climate change
- emergency department
- spinal cord
- long term care
- artificial intelligence
- liver failure
- high resolution
- systemic sclerosis
- lymph node
- drug induced
- healthcare
- case report
- spinal cord injury
- rheumatoid arthritis
- public health
- extracorporeal membrane oxygenation
- palliative care
- fluorescence imaging
- machine learning
- hepatitis b virus
- deep learning
- acute care
- acute respiratory distress syndrome
- adverse drug
- physical activity
- advanced cancer