ReviewCurrent rheumatology reports2019
Novel Imaging Approaches in Systemic Sclerosis-Associated Interstitial Lung Disease.
Review in Current rheumatology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Tocilizumab Prevents Progression of Early Systemic Sclerosis-Associated Interstitial Lung Disease.Arthritis & rheumatology (Hoboken, N.J.) · 2021Trial
- Personalized Medicine for Systemic Sclerosis-Associated Interstitial Lung Disease.Current treatment options in rheumatology · 2025Article
- Imaging in the diagnosis and management of fibrosing interstitial lung diseases.Breathe (Sheffield, England) · 2024Review
- State-of-the-art evidence in the treatment of systemic sclerosis.Nature reviews. Rheumatology · 2023Review
- Management of Connective Tissue Disease-related Interstitial Lung Disease.Current pulmonology reports · 2022Review
- High-Resolution Computed Tomography: Lights and Shadows in Improving Care for SSc-ILD Patients.Diagnostics (Basel, Switzerland) · 2021Review
- Applicability of radiomics in interstitial lung disease associated with systemic sclerosis: proof of concept.European radiology · 2021Article
- Novel Imaging Strategies in Systemic Sclerosis.Current rheumatology reports · 2020Review
- The predictive role of lung ultrasound in progression of scleroderma interstitial lung disease.Clinical rheumatology · 2020Article
- Detection and classification of systemic sclerosis-related interstitial lung disease: a review.Current opinion in rheumatology · 2019Review
- Interstitial Lung Disease in Systemic Sclerosis: Focus on Early Detection and Intervention.Open access rheumatology : research and reviews · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
purpose of the reviewNovel imaging approaches, such as quantitative computed tomography (CT), magnetic resonance imaging (MRI), and molecular imaging, are being applied to interstitial lung diseases to provide prognostic, functional, and molecular information. Here, we review such imaging approaches and their applicability to systemic sclerosis-associated interstitial lung disease (SSc-ILD). RECENT
findingsQuantitative CT can be used to quantify the radiographic response to SSc-ILD therapy. Due to advances in MRI sequence development, MRI can detect the presence of SSc-ILD with high accuracy. MRI can also be utilized to provide functional information as to SSc-ILD and paired with molecular probes to provide non-invasive molecular information. MRI and ultrasound have promising test characteristics for diagnosing ILD in SSc without the use of ionizing radiation. Novel imaging approaches can detect SSc-ILD without the use of ionizing radiation, provide non-invasive functional and molecular information, and quantify treatment response in SSc-ILD. These techniques hold promise for translation into clinical care and clinical trials.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.