Purpose/Objectives
Ultra-Short Echo-Time (UTE) Magnetic Resonance Imaging (MRI) sequences are promising for lung parenchyma evaluation. We aimed to verify the reliability of respiratory triggered UTE Spiral VIBE-MRI sequence in Systemic Sclerosis-Interstitial Lung Disease (SSc-ILD) assessment, compared to Computed Tomography (CT).
Methods & Materials
54 SSc patients performed chest CT and UTE-MRI (1.5 Tesla) in the same day. Two radiologists, independently and in consensus, verified ILD presence/absence and performed a semiquantitative analysis (sQA) of ILD, Ground Glass Opacities (GGO), Reticulations and Honeycombing (HC) extents on both scans. A CT software quantitative texture analysis (QA) was also performed. For ILD detection, inter-reader agreements were computed with Cohen’s K coefficient. UTE sensitivity and specificity were assessed. For extents assessments, inter-reader agreements were performed with Lin’s concordance coefficient (CCC), while the UTE performance against CT was verified with ANOVA test and CCC.
Results
51 subjects were included for visual assessment, as 3 UTE were discarded for low quality. ILD was diagnosed in 39/51 CT. UTE inter-reader K in ILD diagnosis was 0.26. UTE showed 92.8% sensitivity and 75.0% specificity. 42 out of 51 QA segmentations were accepted. ILD, GGO and Reticulations extents were 14.8%, 7.7% and 7.1% on CT sQA and 13.0%, 11.2% and 1.6% on CT QA. HC was <1% and not further considered. UTE inter-reader CCC was 0.89 for ILD extent and 0.79 for GGO extent. UTE RET extent inter-reader CCC was 0.18. UTE ILD and GGO extents CCC were 0.95 and 0.93 against CT sQA and 0.89 and 0.88 against QA (p-value>0.05). RET extent CCC were 0.35 against CT sQA and 0.22 and against CT QA (p-value<0.05).
Conclusion
In SSc patients, UTE Spiral VIBE-MRI sequence may suffer of low inter-reader agreement in ILD detection, but it is a reliable tool in assessing ILD and GGO extents in ascertained SSc-ILD patients.

Reliability of Ultra-Short Echo Time MRI sequence in the assessment of Interstitial Lung Disease related to Systemic Sclerosis

The Winter Course 2021 covers a variety of topics from basics in interstitial lung disease, infections including Covid-19, malignancies, lung cancer screening, and artificial intelligence. The combination of topics is aimed to serve as a good introduction to radiologists embarking on a career in thoracic imaging as well as a solid refresher for experienced thoracic radiologists.

[ESTI Winter Course 2021 Evaluation Form](https://www.surveymonkey.com/r/PP9WFTJ?sid=%5Bsid_value%5D&uid=%5Buid_value%5D&tkn=%5Btkn_value%5D&cgrid=%5Bcgrid_value)

ESTI Winter Course 2021

A Computed Tomography-based Radiomics Model for Patient Prognostic Stratification in Non-Small Cell Lung Cancer

Break Video

CT-Guided Microcoil placement for VATS Resection of Pulmonary Nodules

Development of a risk prediction model for pneumothorax in percutaneous CT guided lung biopsy

Evaluation of an AI program in thoracic imaging: Performance in detection of thoracic aorta ectasia

A Single Centre Institutional Study on 2295 patients for COVID-19 Detection from Radiographs Using a Deep Learning Model - Our Experience and Insights

Evaluation of AI applications in thoracic imaging: Performance in the detection of vertebral body alterations

Can inclusion of the combination of chemical shift ratio and signal intensity increase the number of patient’s classified as definitively benign on thymic MRI beyond use of chemical shift ratio alone? Experience from a UK thoracic tertiary referral centre

Relative contribution of emphysema and airway disease to disease severity in COPD patients GOLD stages I to IV using quantitative computed tomography

Lung Thermal Ablation: Comparison between an Augmented Reality Computed Tomography (CT) 3D Navigation System (SIRIO) and Standard CT-Guided Technique

Differentiating COVID-19 pneumonia from atypical bacterial, fungal and non-COVID-19 viral pneumonia on Chest-CT: Is it possible?

Assessing longitudinal changes in lung gas transfer in dyspnoeic post-COVID-19 patients using hyperpolarized Xenon-129 Magnetic Resonance Imaging

Session Introduction