The purpose of this study was to compare sensitivity for detection of pulmonary nodules in MDCT scans and reading time of radiologists when using CAD as the second reader (SR) respectively concurrent reader (CR). Four radiologists analyzed 50 chest MDCT scans chosen from clinical routine two times and marked all detected pulmonary nodules: first with CAD as CR (display of CAD results immediately in the reading session) and later (median 14 weeks) with CAD as SR (display of CAD markers after completion of first reading without CAD). A Siemens LungCAD prototype was used. Sensitivities for detection of nodules and reading times were recorded. Sensitivity of reading with CAD as SR was significantly higher than reading without CAD (p < 0.001) and CAD as CR (p < 0.001). For nodule size of 1.75 mm or above no significant sensitivity difference between CAD as CR and reading without CAD was observed; e.g., for nodules above 4 mm sensitivity was 68% without CAD, 68% with CAD as CR (p = 0.45) and 75% with CAD as SR (p < 0.001). Reading time was significantly shorter for CR (274 s) compared to reading without CAD (294 s; p = 0.04) and SR (337 s; p < 0.001). In our study CAD could either speed up reading of chest CT cases for pulmonary nodules without relevant loss of sensitivity when used as CR, or it increased sensitivity at the cost of longer reading times when used as SR.
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http://dx.doi.org/10.1007/s00330-007-0667-1 | DOI Listing |
JACC Adv
December 2024
Department of Medicine, Reading Hospital, Tower Health, West Reading, Pennsylvania, USA.
Background: Coronary artery disease (CAD) and acute myocardial infarction (AMI) still pose a significant burden to the health care system, affecting population subgroups differently.
Objectives: The purpose of the study was to describe age, sex, and racial disparities in mortality rates for CAD and AMI in the United States between 2000 and 2020.
Methods: This was an ecological study with trend analysis of mortality rates using data from the National Centers for Disease Control and Prevention surveillance databases.
BMC Health Serv Res
January 2025
Department of Biostatistics, Ankara University, Faculty of Medicine, Morfoloji Binasi, Biyoistatistik AD, 06230, Ankara, Altindag, Turkey.
Background: Pay-for-performance system (P4P) has been in operation in the Turkish healthcare sector since 2004. While the government defended that it encouraged healthcare professionals' job motivation, and improved patient satisfaction by increasing efficiency and service quality, healthcare professionals have emphasized the system's negative effects on working conditions, physicians' trustworthiness, and cost-quality outcomes. In this study, we investigated physicians' accounts of current working conditions, their status as a moral agent, and their professional attitudes in the context of P4P's perceived effects on their professional, social, private, and future lives.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Biochemistry, Lithuanian University of Health Sciences, LT 44307 Kaunas, Lithuania.
Some calculated total blood count readings are investigated as novel additional readings to help with evaluation of personalized CAD patients' clinical management and prognosis. We aimed to investigate the association between readings such as NLR, MLR, PLR, NMR, LMR, MHR, SII, and SIRI and the severity of CAD in patients with SAP. This retrospective pilot study included 166 patients.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Objectives: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagnostic performance of a recently updated deep learning model (CorEx-2.0) for quantifying coronary stenosis, compared separately with two expert CCTA readers as references.
View Article and Find Full Text PDFEchocardiography
January 2025
Department of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, India.
Objective: Diastolic dysfunction (DD) is defined as impaired left ventricular (LV) relaxation, caused by structural or functional heart diseases. We sought to assess the role of cardiac CT angiography (CCTA) as a tool to evaluate LV DD in patients with normal EF using the diastolic expansion index (DEI), as compared to transthoracic echocardiography (TTE) as the gold standard.
Methods: Patients presenting with atypical chest pain with suspected coronary artery disease (CAD) and having a normal LV ejection fraction on TTE underwent CCTA using a dual source CT scanner.
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