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Assessment of Emphysema on X-ray Equivalent Dose Photon-Counting Detector CT: Evaluation of Visual Scoring and Automated Quantification Algorithms.
Invest Radiol
October 2024
From the Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, University Zurich, Zurich, Switzerland (B.K., F.E., J.K., T.F., L.J.); Advanced Radiology Center, Department of Diagnostic Imaging and Oncological Radiotherapy, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy (C.S., A.R.L.); and Section of Radiology, Department of Radiological and Hematological Sciences, Università Cattolica del Sacro Cuore, Rome, Italy (A.R.L.).
Objectives: The aim of this study was to evaluate the feasibility and efficacy of visual scoring, low-attenuation volume (LAV), and deep learning methods for estimating emphysema extent in x-ray dose photon-counting detector computed tomography (PCD-CT), aiming to explore future dose reduction potentials.
Methods: One hundred one prospectively enrolled patients underwent noncontrast low- and chest x-ray dose CT scans in the same study using PCD-CT. Overall image quality, sharpness, and noise, as well as visual emphysema pattern (no, trace, mild, moderate, confluent, and advanced destructive emphysema; as defined by the Fleischner Society), were independently assessed by 2 experienced radiologists for low- and x-ray dose images, followed by an expert consensus read.
Coronary calcium score and emphysema extent on different CT radiation dose protocols in lung cancer screening.
Eur Radiol
December 2024
Thoracic Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
Objectives: To assess the consistency of automated measurements of coronary artery calcification (CAC) burden and emphysema extent on computed tomography (CT) images acquired with different radiation dose protocols in a lung cancer screening (LCS) population.
Materials And Methods: The patient cohort comprised 361 consecutive screenees who underwent a low-dose CT (LDCT) scan and an ultra-low-dose CT (ULDCT) scan at an incident screening round. Exclusion criteria for CAC measurements were software failure and previous history of CVD, including coronary stenting, whereas for emphysema assessment, software failure only.
Coronary Plaque Characteristics in Patients With Chronic Kidney Failure: Impact on Cardiovascular Events and Mortality.
Circ Cardiovasc Imaging
October 2024
Department of Cardiology, Gødstrup Hospital, Herning, Denmark (J.N.D., L.D.R., M.B., S.W.).
Background: In patients with coronary artery disease, coronary plaques with high-risk features and low-attenuation plaque burden are independent measures associated with major adverse cardiovascular events (MACEs). Patients with chronic kidney failure may have different coronary artery disease characteristics. The aim was to assess the association of coronary plaque characteristics and coronary artery disease extent with MACE and all-cause mortality in patients with chronic kidney failure.
View Article and Find Full Text PDFRelationship between epicardial adipose tissue and coronary atherosclerosis by CCTA in young adults (18-45).
Am J Prev Cardiol
September 2024
Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA.
Objective: Epicardial adipose tissue (EAT) is implicated in the pathogenesis and progression of coronary artery disease (CAD). Limited data exists on the interplay between EAT and atherosclerosis in young individuals. Our study aims to explore the relationship between EAT and CAD in a young cohort.
View Article and Find Full Text PDFClinical Trial Validation of Automated Segmentation and Scoring of Pulmonary Cysts in Thoracic CT Scans.
Diagnostics (Basel)
July 2024
Laboratory of Imaging Physics, Biochemistry and Biophysics Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
In cystic lung diseases such as lymphangioleiomyomatosis (LAM), a CT-based cyst score that measures the percentage of the lung volume occupied by cysts is a common index of the cyst burden in the lungs. Although the current semi-automatic measurement of the cyst score is well established, it is susceptible to human operator variabilities. We recently developed a fully automatic method incorporating adaptive features in place of manual adjustments.
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