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| http://dx.doi.org/10.1186/s13054-021-03472-1 | DOI Listing |
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Predictive factors of fibrotic interstitial lung abnormality on high-resolution computed tomography scans: a prospective observational study.
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Department of Respiratory Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto 1-1-1 Honjo, Chuo-ku, 860-8556, Japan.
Background: Fibrotic types of interstitial lung abnormalities seen on high-resolution computed tomography scans, characterised by traction bronchiolectasis/bronchiectasis with or without honeycombing, are predictors of progression and poor prognostic factors of interstitial lung abnormalities. There are no reports on the clinical characteristics of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans. Therefore, we aimed to examine these clinical characteristics and clarify the predictive factors of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans.
View Article and Find Full Text PDFPrediction of pulmonary function decline in fibrous interstitial lung abnormalities based on quantitative chest CT parameters.
BMC Med Imaging
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Department of Radiology, Huadong Hospital, Fudan University, Shanghai, 200040, China.
Background: Interstitial lung abnormalities (ILA) are a proposed imaging concept. Fibrous ILA have a higher risk of progression and death. Clinically, computed tomography (CT) examination is a frequently used and convenient method compared with pulmonary function tests.
View Article and Find Full Text PDFESR Essentials: imaging of common paediatric pulmonary diseases-practice recommendations by the European Society of Paediatric Radiology.
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Chest imaging in children presents unique challenges due to varying requirements across age groups. For chest radiographs, achieving optimal images often involves careful positioning and immobilisation techniques. Antero-posterior projections are easier to obtain in younger children, while lateral decubitus radiographs are sometimes used when expiratory images are difficult to obtain and for free air exclusion.
View Article and Find Full Text PDFDetermining the status of tertiary lymphoid structures in invasive pulmonary adenocarcinoma based on chest CT radiomic features.
Insights Imaging
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Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Objectives: The aim of this study was to determine the status of tertiary lymphoid structures (TLSs) using radiomic features in patients with invasive pulmonary adenocarcinoma (IA).
Methods: In this retrospective study, patients with IA from November 2015 to March 2024 were recruited from two independent centers (center 1, training and internal test data set; center 2, external test data set). TLS was divided into two groups according to hematoxylin-eosin staining.
Upskilling or deskilling? Measurable role of an AI-supported training for radiology residents: a lesson from the pandemic.
Insights Imaging
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Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Objectives: This article aims to evaluate the use and effects of an artificial intelligence system supporting a critical diagnostic task during radiology resident training, addressing a research gap in this field.
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