Purpose: Despite compelling support for the benefits of low-dose CT (LDCT) screening for lung cancer among high-risk individuals, awareness of LDCT screening and uptake remain low. The aim of this project was to explore the perspectives of ACR mammography screening program directors (MPDs) regarding efforts to raise LDCT screening awareness and appropriate referrals by identifying high-risk individuals participating in routine mammography.
Methods: MPDs were recruited from ACR-accredited mammography facilities to participate in semistructured interviews after the completion of an online survey. Interviews were conducted over the telephone, recorded, transcribed, and subsequently reviewed for accuracy. Twenty MPDs were interviewed, and 18 interviews were transcribed and included in the thematic analysis. A theme codebook was developed, and all interviews were coded using NVivo by two trained reviewers.
Results: Key themes were organized into four broad domains: (1) general attitudes toward the integration of LDCT screening, (2) identifying mammography patients at high risk for lung cancer, (3) counseling about LDCT screening, and (4) strategies to identify high-risk women and increase awareness and knowledge of LDCT screening. Overall, MPDs recognized the benefits of integrating mammography and LDCT screening and were receptive to educating and referring women for LDCT screening. However, training and workflow changes are needed to ensure successful implementation.
Conclusions: Qualitative data suggest that MPDs are amenable to leveraging the mammography setting to engage women about LDCT screening; however, additional tools, training, and/or staffing may be necessary to leverage the full potential of reaching women at high risk for lung cancer within the context of mammographic screening.
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http://dx.doi.org/10.1016/j.jacr.2020.02.001 | DOI Listing |
Eur Radiol
January 2025
Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China.
Objectives: To evaluate the image quality and lung nodule detectability of ultralow-dose CT (ULDCT) with adaptive statistical iterative reconstruction-V (ASiR-V) post-processed using a deep learning image reconstruction (DLIR)-based image domain compared to low-dose CT (LDCT) and ULDCT without DLIR.
Materials And Methods: A total of 210 patients undergoing lung cancer screening underwent LDCT (mean ± SD, 0.81 ± 0.
Eur Radiol
January 2025
Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Objective: To assess the co-occurrence of incidental CT lung findings (emphysema, bronchiectasis, and airway wall thickening) as well as associated risk factors in low-dose CT (LDCT) lung cancer screening in a Chinese urban population.
Methods: Data from 978 participants aged 40-74 years from the Chinese NELCIN-B3 urban population study who underwent LDCT screening were selected. CT scans were reviewed for incidental lung findings: emphysema, bronchiectasis and airway wall thickness.
PLoS One
January 2025
Respiratory Medicine, NHS Tayside, Dundee, United Kingdom.
The role of biomarkers in risk-based early detection of lung cancer may enable screening to become cost effective and widely accessible. EarlyCDT-Lung is an example of such a blood-based autoantibody biomarker which may improve accessibility to Low dose Computed Tomography (LDCT) screening for those at highest risk. We randomized 12 208 individuals aged 50-75 at high risk of developing lung cancer to either the test or to standard clinical care.
View Article and Find Full Text PDFEClinicalMedicine
August 2024
Division of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Background: Lung cancer screening recommendations employ annual frequency for eligible individuals, despite evidence that it may not be universally optimal. The impact of imposing a structure on the screening frequency remains unknown. The ENGAGE framework, a validated framework that offers fully dynamic, analytically optimal, personalised lung cancer screening recommendations, could be used to assess the impact of screening structure on the effectiveness and efficiency of lung cancer screening.
View Article and Find Full Text PDFCrit Rev Oncol Hematol
January 2025
Department of Respiratory and Critical Care Medicine, Institute of Respiratory Health, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China. Electronic address:
Lung cancer is the leading cause of cancer-related mortality worldwide, highlighting the urgent need for more accurate and minimally invasive diagnostic tools to improve early detection and patient outcomes. While low-dose computed tomography (LDCT) is effective for screening in high-risk individuals, its high false-positive rate necessitates more precise diagnostic strategies. Liquid biopsy, particularly ctDNA methylation analysis, represents a promising alternative for non-invasive classification of indeterminate pulmonary nodules (IPNs).
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