Mounier-Kuhn syndrome is a rare disease clinically characterized by recurrent respiratory infections. The present report describes a case of this disease with analysis of chest radiography and high resolution computed tomography showing increased caliber of the trachea, main bronchi and central bronchiectasis. Such changes, in association with clinical data, suggest the diagnosis.

Keywords: Tracheobronchomegaly; Mounier-Kuhn; High resolution computed tomography; Radiology.

Behçet's disease is an inflammatory disease that may involve the chest, manifesting itself by the presence of pulmonary artery aneurysms. The authors report a case of Behçet's disease where findings at chest radiography and computed tomography have suggested the possibility of the diagnosis.

Keywords: Behçet's disease; Radiology; Vasculitis.

Currently, lung impairment is the leading factor responsible for the morbidity and mortality associated with systemic sclerosis. Therefore, the recognition of the various tomography patterns becomes decisive in the clinical management of these patients. In high-resolution computed tomography studies, the most common pattern is that of nonspecific interstitial pneumonia. However, there are other forms of lung involvement that must also be recognized. The aim of this study was to review the literature on the main changes resulting from pulmonary involvement in systemic sclerosis and the corresponding radiological findings, considering the current classification of interstitial diseases. We searched the Medline (PubMed), Lilacs, and SciELO databases in order to select articles related to pulmonary changes in systemic sclerosis and published in English between 2000 and 2015. The pulmonary changes seen on computed tomography in systemic sclerosis are varied and are divided into three main categories: interstitial, alveolar, and vascular. Interstitial changes constitute the most common type of pulmonary involvement in systemic sclerosis. However, alveolar and vascular manifestations must also be recognized and considered in the presence of atypical clinical presentations and inadequate treatment responses.

Keywords: Sclerosis; Scleroderma, systemic; Radiology; Tomography, X-ray computed; Lung diseases.

The aim of this article is to provide a comprehensive guide to image quality assessment in diagnostic radiology, emphasizing practical methodologies for radiologists. The goal is to improve diagnostic accuracy and patient care on the basis of the understanding and application of quantitative and qualitative metrics in clinical practice and research. We conducted a review of the literature in the PubMed, Scopus, Web of Science, and Embase databases. The search terms included “image quality in radiology”, “quantitative and qualitative assessment”, “modulation transfer function”, “signal-to-noise ratio”, “contrast-to-noise ratio”, “radiation dose optimization”, and “artificial intelligence in image quality assessment”. The review identified the main methodologies for image quality assessment. We analyzed these metrics for their applicability in clinical settings, highlighting their benefits and limitations. In addition, we discuss qualitative methods such as visual assessment, the assessment of contrast/density, and peer review. This guide fills a gap in the literature by providing accessible, practical knowledge for general radiologists. Ongoing research, education, and technological development are essential to advance the field and ensure high standards in radiology practice.

Keywords: Quality control; Image processing, computer-assisted; Radiology; Diagnostic imaging; Practice guideline.

Systemic sclerosis (SSc) is a multifaceted autoimmune condition that leads to fibrosis in the skin and various internal organs, including the lungs. One of its most serious complications is interstitial lung disease (ILD), which has a profound impact on the prognosis and on patient quality of life. High-resolution computed tomography (HRCT) plays a critical role by offering detailed structural information, whereas positron-emission tomography/CT (PET/CT) provides a deeper understanding of disease activity by combining metabolic and anatomical data. Radiomics expands on those modalities, extracting subtle imaging features undetectable by visual analysis, thereby enabling superior diagnostic accuracy, staging, and prognostic accuracy. This review explores the current applications of radiomics in SSc-ILD, highlighting breakthroughs such as the integration of artificial intelligence for early ILD prediction and risk stratification. Studies have demonstrated that radiomics is efficacious in overcoming traditional diagnostic limitations, enhancing precision in identifying the patterns of usual interstitial pneumonia and monitoring disease progression. When applied to PET/CT, especially that using advanced tracers, radiomics can complement HRCT by identifying metabolic biomarkers of ILD activity, thus supporting personalized treatment strategies. Although radiomics holds significant transformative potential, its routine use in clinical practice still faces several obstacles, such as the need for standardization, validation, and consistency across institutions. Future efforts will be focused on combining radiomics with genetic and molecular data, developing artificial intelligence-driven longitudinal models, and adopting multimodal approaches to improve the management of SSc-ILD. These advances promise to drive a shift toward precision medicine, ultimately improving outcomes for patients with this complex disease.

Keywords: Radiomics; Scleroderma, systemic/diagnostic imaging; Lung diseases, interstitial; Connective tissue diseases/metabolism; Precision medicine.