High-Resolution Computed Tomography: Lights and Shadows in Improving Care for SSc-ILD Patients.
Barbara RuaroElisa BaratellaPaola ConfalonieriBarbara WadeCristina MarrocchioPietro GeriAnnalisa BuscaRiccardo PozzanAlessia Giovanna AndrisanoMaria Assunta CovaMarco ConfalonieriFrancesco SaltonPublished in: Diagnostics (Basel, Switzerland) (2021)
The diagnosis and classification of systemic sclerosis-associated interstitial lung disease (SSc-ILD) is essential to improve the prognosis of systemic sclerosis (SSc) patients. The risk-stratification of disease severity and follow-up requires a multidisciplinary approach, integrating high-resolution computed tomography (HRTC) of the lung, pulmonary function tests (PFT), along with clinical and symptomatic evaluations. The use of HRCT in detecting SSc-ILD is not so much based on a definitive validation, but rather reflects the widespread clinician recognition of dissatisfaction with other modalities. However, due to the heterogeneity of SSc-ILD and the potential absence of symptoms in early or mild disease, it is prudent to consider as many parameters as possible in the assessment and monitoring of newly diagnosed patients. An early diagnosis meets the primary goal, i.e., the prevention of disease progression. The current first line treatment regimens are mainly centered on immunosuppressive therapy. This review assesses the role HRCT plays in optimizing care and improving clinical outcomes in SSc-ILD patients.
Keyphrases
- interstitial lung disease
- systemic sclerosis
- newly diagnosed
- computed tomography
- end stage renal disease
- ejection fraction
- high resolution
- rheumatoid arthritis
- idiopathic pulmonary fibrosis
- chronic kidney disease
- prognostic factors
- healthcare
- squamous cell carcinoma
- machine learning
- quality improvement
- magnetic resonance
- depressive symptoms
- positron emission tomography
- bone marrow
- pain management
- deep learning
- mesenchymal stem cells
- locally advanced
- affordable care act