Pub Date : 2025-12-01DOI: 10.1016/j.jacr.2025.08.053
Yannan Lin MD, MPH, PhD , Ruiwen Ding PhD , Drew Moghanaki MD, MPH , Denise R. Aberle MD , William Hsu PhD , Ashley E. Prosper MD
Purpose
The low adherence rate to annual lung cancer screening (LCS) reduces potential mortality benefits. Interventions to improve adherence often do not consider individualized risk for nonadherence, which is vital in informing the design of tailored interventions. The authors systematically reviewed the literature and conducted a meta-analysis on predicting LCS nonadherence risk using machine learning.
Methods
The authors searched citation databases such as PubMed, Embase, and Web of Science for original studies that mentioned LCS nonadherence risk assessment between April 28, 2014, and May 8, 2025. Study characteristics, nonadherence information, and prediction model performance were extracted. The review protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO CRD420251049715).
Results
Nine studies published between 2020 and 2025 were included in this systematic review, with sample sizes varying between 168 and 28,294, from various institutional settings. Four of the nine included studies reported prediction model performance, with a pooled cross-validated or internal test area under the receiver operating characteristics curve of 0.80 (95% confidence interval, 0.64-0.90) across three distinct study populations and a relatively small sample size between 168 and 2,430, with large heterogeneity detected across studies (P < .05, Cochran’s Q test; I2 = 98.7%). The authors also explored the feasibility of leveraging four national databases to support future model development and validation efforts aimed at improving LCS adherence.
Conclusions
Machine learning models that can predict the individual risk for LCS nonadherence are underdeveloped. Radiologists and other stakeholders should invest in the curation of large, multicenter, national databases to facilitate the development and validation of models that identify patients who are in the greatest need of tailored interventions to improve adherence and enhance patient outcomes.
目的肺癌年度筛查(LCS)的低依从率降低了潜在的死亡率。改善依从性的干预措施通常不考虑不依从性的个体化风险,这对于设计量身定制的干预措施至关重要。作者系统地回顾了文献,并对使用机器学习预测LCS不依从风险进行了荟萃分析。方法作者检索了2014年4月28日至2025年5月8日期间提到LCS不依从性风险评估的引文数据库,如PubMed、Embase和Web of Science。提取研究特征、不依从信息和预测模型性能。该评价方案已在国际前瞻性系统评价注册(PROSPERO CRD420251049715)注册。本系统综述纳入了2020年至2025年间发表的9项研究,样本量在168至28,294之间,来自不同的机构设置。九项纳入的研究中有四项报告了预测模型的性能,在三个不同的研究群体中,受试者工作特征曲线下的交叉验证或内部测试区域为0.80(95%置信区间为0.64-0.90),样本量相对较小,在168至2,430之间,研究之间存在较大的异质性(P < 0.05,科克伦Q检验;I2 = 98.7%)。作者还探讨了利用四个国家数据库来支持未来模型开发和验证工作的可行性,旨在提高LCS的依从性。结论预测LCS不依从个体风险的机器学习模型尚不完善。放射科医生和其他利益相关者应该投资管理大型、多中心的国家数据库,以促进模型的开发和验证,以确定最需要量身定制的干预措施的患者,以提高依从性并提高患者的预后。
{"title":"Opportunities for Predicting Lung Cancer Screening Nonadherence: A Systematic Review and Meta-Analysis","authors":"Yannan Lin MD, MPH, PhD , Ruiwen Ding PhD , Drew Moghanaki MD, MPH , Denise R. Aberle MD , William Hsu PhD , Ashley E. Prosper MD","doi":"10.1016/j.jacr.2025.08.053","DOIUrl":"10.1016/j.jacr.2025.08.053","url":null,"abstract":"<div><h3>Purpose</h3><div>The low adherence rate to annual lung cancer screening (LCS) reduces potential mortality benefits. Interventions to improve adherence often do not consider individualized risk for nonadherence, which is vital in informing the design of tailored interventions. The authors systematically reviewed the literature and conducted a meta-analysis on predicting LCS nonadherence risk using machine learning.</div></div><div><h3>Methods</h3><div>The authors searched citation databases such as PubMed, Embase, and Web of Science for original studies that mentioned LCS nonadherence risk assessment between April 28, 2014, and May 8, 2025. Study characteristics, nonadherence information, and prediction model performance were extracted. The review protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO CRD420251049715).</div></div><div><h3>Results</h3><div>Nine studies published between 2020 and 2025 were included in this systematic review, with sample sizes varying between 168 and 28,294, from various institutional settings. Four of the nine included studies reported prediction model performance, with a pooled cross-validated or internal test area under the receiver operating characteristics curve of 0.80 (95% confidence interval, 0.64-0.90) across three distinct study populations and a relatively small sample size between 168 and 2,430, with large heterogeneity detected across studies (<em>P</em> < .05, Cochran’s <em>Q</em> test; <em>I</em><sup>2</sup> = 98.7%). The authors also explored the feasibility of leveraging four national databases to support future model development and validation efforts aimed at improving LCS adherence.</div></div><div><h3>Conclusions</h3><div>Machine learning models that can predict the individual risk for LCS nonadherence are underdeveloped. Radiologists and other stakeholders should invest in the curation of large, multicenter, national databases to facilitate the development and validation of models that identify patients who are in the greatest need of tailored interventions to improve adherence and enhance patient outcomes.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages 1483-1499"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jacr.2025.08.007
Kim Lori Sandler MD , Caroline M. Godfrey MD, MPH , Valerie Welty PhD , Chinmay Jani MBBS , Stephen Deppen MA, PhD , Alexis Bartley Paulson MS , Shanna Joyner , Hannah Marmor MD, MPH , Grace Wallace CCRC , Lauren Hatcher MD, MBA , Landon Fike MD , Arulita Gupta MD , Padmanabh Shrikant Bhatt MBBS, BSc , Giulia Paliotti BS , Alaaeldin Ahmed MBBCh , Omar Al Omari MBBS , Lipisha Agarwal MBBS , Arashdeep Rupal MBBS , Margaret Lotz PhD , Susan E. Pories MD , Carey Conley Thomson MD, MPH
Background
Lung cancer is the leading cause of cancer-related death in women. Lung cancer screening (LCS) uptake remains low despite clear scientific evidence of benefit and recommendations for screening from leading organizations. In a previous US study, 58% of LCS-eligible women reported having a mammogram within 2 years compared with only 7.9% who underwent LCS, suggesting an opportunity to improve LCS uptake.
Study design and methods
Mammography participants from November 2019 to December 2022 at two academic hospitals (site A and site B) were evaluated for potential LCS eligibility. Outreach was conducted to potentially eligible participants and referring providers to confirm eligibility and offer LCS. Women with metastatic malignancy or already enrolled in LCS were excluded. Historical enrollment rates at each site were used to predict successful implementation of enrollment strategies. Targeted outreach was performed for 12 months at each site.
Results
Of 32,165 mammography participants reviewed, 1,569 women (4.9%) were confirmed eligible with chart review for LCS and 1,089 of the 1,569 women (69%) had not previously undergone LCS. A significant increase in total LCS examinations among women during the study period was observed at both institutions. Baseline LCS scans in women increased from 12 and 28 scans per month at the two institutions, respectively, in the prestudy period to 18 and 38 scans per month during the study period (P = .0038 and .0125, respectively). There was no corresponding significant change in baseline LCS scans among men at either institution over the same time frame.
Interpretation
Identifying women eligible for LCS through screening mammography programs is an opportunity to increase lung screening enrollment. The tactics employed identified women eligible for LCS from the screening mammography population and demonstrated a significant increase in LCS examinations in women.
{"title":"Successful Improvement in Lung Screening Enrollment for Women Undergoing Breast Screening—The CALM Study (Coordinate a Lung Screening With Mammography)","authors":"Kim Lori Sandler MD , Caroline M. Godfrey MD, MPH , Valerie Welty PhD , Chinmay Jani MBBS , Stephen Deppen MA, PhD , Alexis Bartley Paulson MS , Shanna Joyner , Hannah Marmor MD, MPH , Grace Wallace CCRC , Lauren Hatcher MD, MBA , Landon Fike MD , Arulita Gupta MD , Padmanabh Shrikant Bhatt MBBS, BSc , Giulia Paliotti BS , Alaaeldin Ahmed MBBCh , Omar Al Omari MBBS , Lipisha Agarwal MBBS , Arashdeep Rupal MBBS , Margaret Lotz PhD , Susan E. Pories MD , Carey Conley Thomson MD, MPH","doi":"10.1016/j.jacr.2025.08.007","DOIUrl":"10.1016/j.jacr.2025.08.007","url":null,"abstract":"<div><h3>Background</h3><div>Lung cancer is the leading cause of cancer-related death in women. Lung cancer screening (LCS) uptake remains low despite clear scientific evidence of benefit and recommendations for screening from leading organizations. In a previous US study, 58% of LCS-eligible women reported having a mammogram within 2 years compared with only 7.9% who underwent LCS, suggesting an opportunity to improve LCS uptake.</div></div><div><h3>Study design and methods</h3><div>Mammography participants from November 2019 to December 2022 at two academic hospitals (site A and site B) were evaluated for potential LCS eligibility. Outreach was conducted to potentially eligible participants and referring providers to confirm eligibility and offer LCS. Women with metastatic malignancy or already enrolled in LCS were excluded. Historical enrollment rates at each site were used to predict successful implementation of enrollment strategies. Targeted outreach was performed for 12 months at each site.</div></div><div><h3>Results</h3><div>Of 32,165 mammography participants reviewed, 1,569 women (4.9%) were confirmed eligible with chart review for LCS and 1,089 of the 1,569 women (69%) had not previously undergone LCS. A significant increase in total LCS examinations among women during the study period was observed at both institutions. Baseline LCS scans in women increased from 12 and 28 scans per month at the two institutions, respectively, in the prestudy period to 18 and 38 scans per month during the study period (<em>P</em> = .0038 and .0125, respectively). There was no corresponding significant change in baseline LCS scans among men at either institution over the same time frame.</div></div><div><h3>Interpretation</h3><div>Identifying women eligible for LCS through screening mammography programs is an opportunity to increase lung screening enrollment. The tactics employed identified women eligible for LCS from the screening mammography population and demonstrated a significant increase in LCS examinations in women.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages 1510-1517"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jacr.2025.09.022
Michael K. Gould MD, MS , Beth Creekmur MA , Lihong Qi PhD , Evan de Bie , Denise R. Aberle MD , Debra S. Dyer MD , Sara Golden PhD , Celia P. Kaplan DrPH , Richard A. Mularski MD , Julie S. Steiner MA , Jennifer P. Steltz , Anil Vachani MD , Renda Soylemez Wiener MD, MPH , Karen Kelly MD , Rebecca Smith-Bindman MD , Diana L. Miglioretti PhD
Objective
To examine radiologists’ beliefs about protocols for less versus more intensive surveillance imaging in patients with small pulmonary nodules.
Methods
We developed a self-administered survey to measure familiarity, adherence, and satisfaction with assigned protocols for surveillance as implemented in an unblinded, cluster-randomized, pragmatic trial of pulmonary nodule evaluation. Protocols were modeled on recommendations from the Fleischner Society (for incidental nodules) and the ACR’s Lung CT Screening Reporting and Data System (for screening-detected nodules). We compared responses by study arm using multivariable logistic regression.
Results
The survey was completed by 153 of 514 invited radiologists (29.8%), including 76 responders in the less intensive study arm and 77 in the more intensive arm. For incidentally detected nodules, large majorities of responders in both study arms reported at least moderate familiarity (>88%) and at least very frequent adherence (>94%) with assigned protocols for surveillance, and over 70% agreed that benefits of adherence outweigh the harms. Responders in the less intensive arm were more likely to agree that their preferred guideline was in use during the study (78.9% versus 45.5%; adjusted odds ratio [aOR] 13.9, 95% confidence interval [CI] 4.2-45.7), were more likely to believe that the supporting evidence for the assigned guideline was strong or very strong (76.3% versus 54.6%; aOR 2.40, 95% CI 1.13-5.07), and were less likely to believe that follow-up recommendations were too frequent (25.0% versus 41.6%; aOR 0.46, 95% CI 0.22-0.96). For screening-detected nodules, responders in both study arms reported high levels of protocol familiarity, adherence, and agreement that benefits of adherence outweigh the harms.
Conclusion
In this pragmatic clinical trial, practicing radiologists reported high levels of familiarity, adherence, and agreement with assigned guidelines for pulmonary nodule evaluation. Perceptions of the supporting evidence and beliefs about the frequency of surveillance were more favorable in the less intensive study arm, likely reflecting radiologists’ preference for and comfort with guidelines currently in use.
目的探讨放射科医生对小肺结节患者较少或更密集的监测成像方案的看法。方法:我们开展了一项自我管理的调查,以衡量对指定监测方案的熟悉程度、依从性和满意度,该方案在一项非盲、集群随机、实用的肺结节评估试验中实施。方案以Fleischner学会(偶发结节)和ACR肺CT筛查报告和数据系统(筛查检测结节)的建议为蓝本。我们使用多变量逻辑回归比较各研究组的反应。结果514名受邀放射科医生中的153名(29.8%)完成了调查,其中76名应答者来自低强度研究组,77名应答者来自高强度研究组。对于偶然发现的结节,两个研究组中绝大多数应答者报告至少中度熟悉(>88%)和至少非常频繁地遵守(>94%)指定的监测方案,超过70%的人同意遵守的益处大于危害。低强度组的应答者更有可能同意他们首选的指南在研究期间被使用(78.9%对45.5%;调整优势比[aOR] 13.9, 95%可信区间[CI] 4.2-45.7),更有可能相信指定指南的支持证据是强的或非常强的(76.3%对54.6%;aOR 2.40, 95% CI 1.13-5.07),更不可能相信随访建议过于频繁(25.0%对41.6%;aOR 0.46, 95% CI 0.22-0.96)。对于筛查检测到的结节,两个研究组的应答者都报告了高水平的方案熟悉度、依从性,并一致认为依从性的益处大于危害。结论:在这项实用的临床试验中,执业放射科医生报告了对肺结节评估指南的高度熟悉、依从性和一致性。在不太密集的研究中,对支持证据的认知和对监测频率的信念更有利,这可能反映了放射科医生对目前使用的指南的偏好和舒适度。
{"title":"Less Versus More Intensive Surveillance of Pulmonary Nodules Detected Incidentally or by Screening: A Survey of Radiologist Beliefs About Guidelines Implemented in the Watch the Spot Trial","authors":"Michael K. Gould MD, MS , Beth Creekmur MA , Lihong Qi PhD , Evan de Bie , Denise R. Aberle MD , Debra S. Dyer MD , Sara Golden PhD , Celia P. Kaplan DrPH , Richard A. Mularski MD , Julie S. Steiner MA , Jennifer P. Steltz , Anil Vachani MD , Renda Soylemez Wiener MD, MPH , Karen Kelly MD , Rebecca Smith-Bindman MD , Diana L. Miglioretti PhD","doi":"10.1016/j.jacr.2025.09.022","DOIUrl":"10.1016/j.jacr.2025.09.022","url":null,"abstract":"<div><h3>Objective</h3><div>To examine radiologists’ beliefs about protocols for less versus more intensive surveillance imaging in patients with small pulmonary nodules.</div></div><div><h3>Methods</h3><div>We developed a self-administered survey to measure familiarity, adherence, and satisfaction with assigned protocols for surveillance as implemented in an unblinded, cluster-randomized, pragmatic trial of pulmonary nodule evaluation. Protocols were modeled on recommendations from the Fleischner Society (for incidental nodules) and the ACR’s Lung CT Screening Reporting and Data System (for screening-detected nodules). We compared responses by study arm using multivariable logistic regression.</div></div><div><h3>Results</h3><div>The survey was completed by 153 of 514 invited radiologists (29.8%), including 76 responders in the less intensive study arm and 77 in the more intensive arm. For incidentally detected nodules, large majorities of responders in both study arms reported at least moderate familiarity (>88%) and at least very frequent adherence (>94%) with assigned protocols for surveillance, and over 70% agreed that benefits of adherence outweigh the harms. Responders in the less intensive arm were more likely to agree that their preferred guideline was in use during the study (78.9% versus 45.5%; adjusted odds ratio [aOR] 13.9, 95% confidence interval [CI] 4.2-45.7), were more likely to believe that the supporting evidence for the assigned guideline was strong or very strong (76.3% versus 54.6%; aOR 2.40, 95% CI 1.13-5.07), and were less likely to believe that follow-up recommendations were too frequent (25.0% versus 41.6%; aOR 0.46, 95% CI 0.22-0.96). For screening-detected nodules, responders in both study arms reported high levels of protocol familiarity, adherence, and agreement that benefits of adherence outweigh the harms.</div></div><div><h3>Conclusion</h3><div>In this pragmatic clinical trial, practicing radiologists reported high levels of familiarity, adherence, and agreement with assigned guidelines for pulmonary nodule evaluation. Perceptions of the supporting evidence and beliefs about the frequency of surveillance were more favorable in the less intensive study arm, likely reflecting radiologists’ preference for and comfort with guidelines currently in use.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages 1589-1597"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jacr.2025.08.052
Stacy R. Stanifer PhD, APRN , Kathy Rademacher BA , Whitney Sedio MPH , Naomi Cheek MPH , Amanda Thaxton Wiggins PhD , Mary Kay Rayens PhD , Ellen J. Hahn PhD, RN
Objective
Examine frequency of tobacco and radon risk counseling during lung cancer screening shared decision making among qualified health care providers and the relationship between radon beliefs, tobacco and radon counseling self-efficacy, and related tobacco and radon risk counseling among providers.
Methods
Cross-sectional, observational study design employing a mailed self-report survey sent to a stratified random sample of 1,000 qualified health care providers in Kentucky. Regression analyses to examine the association among sociodemographic characteristics, radon beliefs, self-efficacy, familiarity with lung cancer screening guidelines, and tobacco or radon risk reduction counseling during lung cancer screening shared decision making.
Results
In all, 149 providers responded to the mailed survey (14.9% participation rate). Participants were largely unsure about their radon beliefs. Providers rated their self-efficacy for tobacco cessation counseling higher than their self-efficacy related to counseling patients on radon testing and mitigation. Participants reported a high frequency of tobacco risk counseling during lung cancer screening shared decision making, but almost never counseled on radon risk. Adjusting for health care provider demographic- and practice-level variables, self-efficacy related to tobacco cessation counseling was the sole significant predictor of frequency of tobacco risk counseling. In the multilevel logistic regression model, no variables were found to be significantly associated with frequency of radon risk counseling during lung cancer screening shared decision making.
Discussion
Risk reduction remains essential to reducing the burden of lung cancer in the United States. Interventions that increase provider beliefs about radon and provider self-efficacy in relation to tobacco and radon counseling during lung cancer screening are needed.
{"title":"Radon and Tobacco Risk Counseling During Lung Cancer Screening Shared Decision-Making","authors":"Stacy R. Stanifer PhD, APRN , Kathy Rademacher BA , Whitney Sedio MPH , Naomi Cheek MPH , Amanda Thaxton Wiggins PhD , Mary Kay Rayens PhD , Ellen J. Hahn PhD, RN","doi":"10.1016/j.jacr.2025.08.052","DOIUrl":"10.1016/j.jacr.2025.08.052","url":null,"abstract":"<div><h3>Objective</h3><div>Examine frequency of tobacco and radon risk counseling during lung cancer screening shared decision making among qualified health care providers and the relationship between radon beliefs, tobacco and radon counseling self-efficacy, and related tobacco and radon risk counseling among providers.</div></div><div><h3>Methods</h3><div>Cross-sectional, observational study design employing a mailed self-report survey sent to a stratified random sample of 1,000 qualified health care providers in Kentucky. Regression analyses to examine the association among sociodemographic characteristics, radon beliefs, self-efficacy, familiarity with lung cancer screening guidelines, and tobacco or radon risk reduction counseling during lung cancer screening shared decision making.</div></div><div><h3>Results</h3><div>In all, 149 providers responded to the mailed survey (14.9% participation rate). Participants were largely unsure about their radon beliefs. Providers rated their self-efficacy for tobacco cessation counseling higher than their self-efficacy related to counseling patients on radon testing and mitigation. Participants reported a high frequency of tobacco risk counseling during lung cancer screening shared decision making, but almost never counseled on radon risk. Adjusting for health care provider demographic- and practice-level variables, self-efficacy related to tobacco cessation counseling was the sole significant predictor of frequency of tobacco risk counseling. In the multilevel logistic regression model, no variables were found to be significantly associated with frequency of radon risk counseling during lung cancer screening shared decision making.</div></div><div><h3>Discussion</h3><div>Risk reduction remains essential to reducing the burden of lung cancer in the United States. Interventions that increase provider beliefs about radon and provider self-efficacy in relation to tobacco and radon counseling during lung cancer screening are needed.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages 1473-1482"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jacr.2025.08.015
Lori C. Sakoda PhD, MPH , Florian J. Fintelmann MD , Louise M. Henderson PhD, MSPH
{"title":"A Vision Toward Risk-Stratified Postoperative Surveillance for Lung Cancer: Harnessing CT and AI","authors":"Lori C. Sakoda PhD, MPH , Florian J. Fintelmann MD , Louise M. Henderson PhD, MSPH","doi":"10.1016/j.jacr.2025.08.015","DOIUrl":"10.1016/j.jacr.2025.08.015","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages 1605-1608"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jacr.2025.08.021
Heather Derry-Vick PhD , Holly G. Prigerson PhD , Jessica Hahne MA , Nina Glesby BA , Andrew S. Epstein MD , Ashish Saxena MD, PhD , Paul K. Maciejewski PhD
Purpose
Routine cancer scans (eg, CT, MRI) produce important prognostic information. However, patients may experience distressing “scanxiety” around the time of scans and scan result discussions. The aim of this study was to describe scanxiety and factors affecting it among patients with metastatic lung cancer completing disease-monitoring, postdiagnosis scans.
Methods
After a clinical appointment to discuss routine disease-monitoring scans, participants with metastatic lung cancer who were receiving first-line treatment (n = 9) completed semistructured interviews. Interviews were analyzed using qualitative thematic analysis.
Results
Qualitative analysis revealed that some patients experienced anxiety and other negative emotions around their scans, whereas others did not; patients self-managed anxiety using diverse coping strategies and by seeking out support. Participants described clinician- and clinic-based factors influencing scanxiety, including scheduling and procedural logistics, knowing what to expect, rapport with clinicians, and results delivery methods.
Conclusions
Despite the small sample, these findings suggest some, but not all, patients with metastatic lung cancer may benefit from psychosocial support while awaiting scan results and provide insight into patient-, clinician-, and clinic-level factors that may be targeted to reduce scanxiety.
{"title":"“You Always Worry”: Scan-Related Anxiety Among Patients With Metastatic Lung Cancer","authors":"Heather Derry-Vick PhD , Holly G. Prigerson PhD , Jessica Hahne MA , Nina Glesby BA , Andrew S. Epstein MD , Ashish Saxena MD, PhD , Paul K. Maciejewski PhD","doi":"10.1016/j.jacr.2025.08.021","DOIUrl":"10.1016/j.jacr.2025.08.021","url":null,"abstract":"<div><h3>Purpose</h3><div>Routine cancer scans (eg, CT, MRI) produce important prognostic information. However, patients may experience distressing “scanxiety” around the time of scans and scan result discussions. The aim of this study was to describe scanxiety and factors affecting it among patients with metastatic lung cancer completing disease-monitoring, postdiagnosis scans.</div></div><div><h3>Methods</h3><div>After a clinical appointment to discuss routine disease-monitoring scans, participants with metastatic lung cancer who were receiving first-line treatment (n = 9) completed semistructured interviews. Interviews were analyzed using qualitative thematic analysis.</div></div><div><h3>Results</h3><div>Qualitative analysis revealed that some patients experienced anxiety and other negative emotions around their scans, whereas others did not; patients self-managed anxiety using diverse coping strategies and by seeking out support. Participants described clinician- and clinic-based factors influencing scanxiety, including scheduling and procedural logistics, knowing what to expect, rapport with clinicians, and results delivery methods.</div></div><div><h3>Conclusions</h3><div>Despite the small sample, these findings suggest some, but not all, patients with metastatic lung cancer may benefit from psychosocial support while awaiting scan results and provide insight into patient-, clinician-, and clinic-level factors that may be targeted to reduce scanxiety.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages 1572-1577"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jacr.2025.08.010
Lina Karout MD , Pragya Dhar MPH , Elizabeth Waldron PhD , Valeria Nunez BSc , Priya Sarin Gupta MD, MPH , Gladys Vega , Kelly E. Irwin MD, MPH , Ruth C. Carlos MD, MS , Elyse R. Park PhD, MPH , Efrén J. Flores MD
Objective
To employ a community-based qualitative study to identify multilevel barriers and facilitators to smoking disclosure, ascertainment, documentation, and lung cancer screening (LCS) referral among Hispanic and Latino communities.
Methods
This qualitative study included 38 participants (22:16, 54 ± 13 years): Hispanic and Latino patients (n = 26) eligible for LCS, community-based primary care providers (n = 7), and community-based organization leaders (n = 5). Semistructured interviews were conducted between November 2023 to October 2024, in English, Spanish, and Portuguese. Professionally transcribed and translated audio recordings were analyzed in Dedoose using a hybrid inductive-deductive qualitative analysis.
Results
Six themes emerged across three levels. Patient-level themes included (1) interpersonal and cultural reinforcement of smoking: smoking was modeled and normalized through family and social networks and (2) intrapersonal stress and life events: smoking was used for emotional regulation or cessation after major life changes. Provider-level themes included (3) gaps in provider-patient communication and trust: brief or judgmental counseling reduced patient comfort with disclosing smoking and limited accurate smoking ascertainment and (4) language and cultural incongruence: mismatches during clinical encounters disrupted meaningful dialogue, negatively impacting both ascertainment and documentation. System-level themes included (5) structural access barriers: insurance, transportation, or scheduling challenges limited engagement with cessation and LCS, disrupting documentation and follow-up and (6) underreporting in medical documentation, revealed breakdowns in electronic health record systems.
Conclusion
Barriers to accurate smoking history and LCS are complex, spanning interpersonal, cultural, linguistic, and clinician and system domains. With upcoming Healthcare Effectiveness Data and Information Set Tobacco Use Screening and Cessation Intervention implementation, improving smoking history disclosure, ascertainment, and documentation are essential for equitable LCS referral and improve lung cancer outcomes through early detection.
{"title":"Barriers and Facilitators to Accurate Smoking History and Equitable Lung Cancer Screening Uptake Among Hispanic and Latino Populations","authors":"Lina Karout MD , Pragya Dhar MPH , Elizabeth Waldron PhD , Valeria Nunez BSc , Priya Sarin Gupta MD, MPH , Gladys Vega , Kelly E. Irwin MD, MPH , Ruth C. Carlos MD, MS , Elyse R. Park PhD, MPH , Efrén J. Flores MD","doi":"10.1016/j.jacr.2025.08.010","DOIUrl":"10.1016/j.jacr.2025.08.010","url":null,"abstract":"<div><h3>Objective</h3><div>To employ a community-based qualitative study to identify multilevel barriers and facilitators to smoking disclosure, ascertainment, documentation, and lung cancer screening (LCS) referral among Hispanic and Latino communities.</div></div><div><h3>Methods</h3><div>This qualitative study included 38 participants (22:16, 54 ± 13 years): Hispanic and Latino patients (n = 26) eligible for LCS, community-based primary care providers (n = 7), and community-based organization leaders (n = 5). Semistructured interviews were conducted between November 2023 to October 2024, in English, Spanish, and Portuguese. Professionally transcribed and translated audio recordings were analyzed in Dedoose using a hybrid inductive-deductive qualitative analysis.</div></div><div><h3>Results</h3><div>Six themes emerged across three levels. Patient-level themes included (1) interpersonal and cultural reinforcement of smoking: smoking was modeled and normalized through family and social networks and (2) intrapersonal stress and life events: smoking was used for emotional regulation or cessation after major life changes. Provider-level themes included (3) gaps in provider-patient communication and trust: brief or judgmental counseling reduced patient comfort with disclosing smoking and limited accurate smoking ascertainment and (4) language and cultural incongruence: mismatches during clinical encounters disrupted meaningful dialogue, negatively impacting both ascertainment and documentation. System-level themes included (5) structural access barriers: insurance, transportation, or scheduling challenges limited engagement with cessation and LCS, disrupting documentation and follow-up and (6) underreporting in medical documentation, revealed breakdowns in electronic health record systems.</div></div><div><h3>Conclusion</h3><div>Barriers to accurate smoking history and LCS are complex, spanning interpersonal, cultural, linguistic, and clinician and system domains. With upcoming Healthcare Effectiveness Data and Information Set Tobacco Use Screening and Cessation Intervention implementation, improving smoking history disclosure, ascertainment, and documentation are essential for equitable LCS referral and improve lung cancer outcomes through early detection.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages 1451-1460"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/S1546-1440(25)00609-X
{"title":"Table of Content","authors":"","doi":"10.1016/S1546-1440(25)00609-X","DOIUrl":"10.1016/S1546-1440(25)00609-X","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages A1-A5"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jacr.2025.09.017
Rachel L. Rosen PhD , Joanna M. Streck PhD , Lucy Finkelstein-Fox PhD , Efrén J. Flores MD , Elyse R. Park PhD, MPH , Jennifer S. Haas MD, MSc , Nancy A. Rigotti MD
Background
Cannabis use in the US is increasing in prevalence among older adults and people who smoke cigarettes. Little is known about rates of use among adults 50 to 80 years old undergoing lung cancer screening (LCS). The current study aimed to characterize the prevalence and correlates of cannabis use among adults 50 to 80 years old at high risk for lung cancer.
Methods
This secondary analysis of data collected in 2019 to 2023 from a randomized trial that tested a smoking cessation intervention integrated with LCS. The analysis included 638 patients who were scheduled for LCS and reported smoking cigarettes in the past 30 days. We characterized the prevalence of cannabis use and describe demographic and psychological correlates of cannabis use among adults at high risk for lung cancer who smoke cigarettes and were scheduled for a LCS test.
Results
Nineteen percent of the sample co-used cannabis at baseline, and cannabis use was associated with younger age (62.2 versus 64.3, P < .001), male gender (57.5% versus 41.3%, P = .001), lower likelihood of being White (79.2% versus 85.3, P = .004), and greater likelihood of depression symptoms (37.2% versus 23.0%, P = .002), based on bivariate analyses.
Conclusion
Findings suggest that cannabis use is prevalent among adults 50 to 80 years old who smoke cigarettes and are scheduled for LCS. LCS provides an opportunity for assessment of and intervention for cannabis and tobacco use.
{"title":"Prevalence of Cannabis Use Among People Who Smoke Cigarettes and Are Scheduled for Lung Cancer Screening","authors":"Rachel L. Rosen PhD , Joanna M. Streck PhD , Lucy Finkelstein-Fox PhD , Efrén J. Flores MD , Elyse R. Park PhD, MPH , Jennifer S. Haas MD, MSc , Nancy A. Rigotti MD","doi":"10.1016/j.jacr.2025.09.017","DOIUrl":"10.1016/j.jacr.2025.09.017","url":null,"abstract":"<div><h3>Background</h3><div>Cannabis use in the US is increasing in prevalence among older adults and people who smoke cigarettes. Little is known about rates of use among adults 50 to 80 years old undergoing lung cancer screening (LCS). The current study aimed to characterize the prevalence and correlates of cannabis use among adults 50 to 80 years old at high risk for lung cancer.</div></div><div><h3>Methods</h3><div>This secondary analysis of data collected in 2019 to 2023 from a randomized trial that tested a smoking cessation intervention integrated with LCS. The analysis included 638 patients who were scheduled for LCS and reported smoking cigarettes in the past 30 days. We characterized the prevalence of cannabis use and describe demographic and psychological correlates of cannabis use among adults at high risk for lung cancer who smoke cigarettes and were scheduled for a LCS test.</div></div><div><h3>Results</h3><div>Nineteen percent of the sample co-used cannabis at baseline, and cannabis use was associated with younger age (62.2 versus 64.3, <em>P</em> < .001), male gender (57.5% versus 41.3%, <em>P</em> = .001), lower likelihood of being White (79.2% versus 85.3, <em>P</em> = .004), and greater likelihood of depression symptoms (37.2% versus 23.0%, <em>P</em> = .002), based on bivariate analyses.</div></div><div><h3>Conclusion</h3><div>Findings suggest that cannabis use is prevalent among adults 50 to 80 years old who smoke cigarettes and are scheduled for LCS. LCS provides an opportunity for assessment of and intervention for cannabis and tobacco use.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages 1618-1624"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.jacr.2025.07.016
Efrén J. Flores MD , Caylin Marotta MPH , Yuchiao Chang PhD , Bianca Porneala MS , Jaqueline Contrera Avila PhD , Terry Liu , Amy J. Wint MSc , Ruth C. Carlos MD, MS , Jordan M. Neil PhD , Irina Gonzalez MD , Sydney E. McGovern MS , Douglas E. Levy PhD, MPH , Jennifer S. Haas MD, MSPH , Nancy A. Rigotti MD , Elyse R. Park PhD, MPH
Purpose
This study evaluates the association of sociodemographic and health care factors with enrollment in a tobacco-cessation randomized controlled trial (Screen ASSIST) among individuals undergoing lung cancer screening (LCS).
Methods
This retrospective study used data gathered from the electronic health record and zip code-based area deprivation index (ADI) of individuals who were eligible for Screen ASSIST at 11 sites from April 2019 to July 2023. The primary outcome of interest was to assess the association between sociodemographic factors (including ADI) and health factors (including Charlson Comorbidity Index) and clinical trial enrollment. Univariate and logistic regression analyses were performed to assess the primary outcome of the study.
Results
In all, 4,090 individuals met eligibility criteria, and 642 (15.7%) were enrolled. Both enrolled and unenrolled groups had no significant difference in average age (enrolled individuals 63.2 ± 6.5 years; unenrolled individuals 63.0 ± 6.5 years), national (20.2 for enrolled versus 19.9 for not enrolled) and state (4.6 for enrolled versus 4.7 for not enrolled) ADI rankings, Charlson Comorbidity Index scores (1.3 for both), and other self-reported sociodemographic characteristics including being of predominantly White race, non-Hispanic ethnicity, having English listed as their preferred language, and having a high school degree or greater. Logistic regression analyses showed higher likelihood of enrollment was associated with age 70 years or older compared with younger than 60 years (adjusted OR [aOR]: 1.29, 95% confidence interval [CI]: 1.00-1.66); female gender compared with male (aOR: 1.26, 95% CI: 1.06-1.50); non-Hispanic Black compared with non-Hispanic White (aOR: 1.87, 95% CI: 1.37-2.54); college degree education compared with less than high school degree (aOR: 1.47, 95% CI: 1.03-2.12); and zero primary care physician visits over the past 12 months compared with three or more (aOR: 1.43, 95% CI: 1.16-1.76).
Conclusion
Several factors previously associated with lower enrollment rates had greater likelihood of enrollment in our LCS-integrated tobacco cessation trial. Offering clinical trial recruitment integrated into existing clinical pathways may represent an opportune window to promote equity in clinical trial participation and LCS uptake and improve tobacco-related health outcomes.
{"title":"Sociodemographic and Health Care Factors Associated With Enrollment in a Randomized Clinical Trial Integrating Tobacco Cessation Into Lung Cancer Screening","authors":"Efrén J. Flores MD , Caylin Marotta MPH , Yuchiao Chang PhD , Bianca Porneala MS , Jaqueline Contrera Avila PhD , Terry Liu , Amy J. Wint MSc , Ruth C. Carlos MD, MS , Jordan M. Neil PhD , Irina Gonzalez MD , Sydney E. McGovern MS , Douglas E. Levy PhD, MPH , Jennifer S. Haas MD, MSPH , Nancy A. Rigotti MD , Elyse R. Park PhD, MPH","doi":"10.1016/j.jacr.2025.07.016","DOIUrl":"10.1016/j.jacr.2025.07.016","url":null,"abstract":"<div><h3>Purpose</h3><div>This study evaluates the association of sociodemographic and health care factors with enrollment in a tobacco-cessation randomized controlled trial (Screen ASSIST) among individuals undergoing lung cancer screening (LCS).</div></div><div><h3>Methods</h3><div>This retrospective study used data gathered from the electronic health record and zip code-based area deprivation index (ADI) of individuals who were eligible for Screen ASSIST at 11 sites from April 2019 to July 2023. The primary outcome of interest was to assess the association between sociodemographic factors (including ADI) and health factors (including Charlson Comorbidity Index) and clinical trial enrollment. Univariate and logistic regression analyses were performed to assess the primary outcome of the study.</div></div><div><h3>Results</h3><div>In all, 4,090 individuals met eligibility criteria, and 642 (15.7%) were enrolled. Both enrolled and unenrolled groups had no significant difference in average age (enrolled individuals 63.2 ± 6.5 years; unenrolled individuals 63.0 ± 6.5 years), national (20.2 for enrolled versus 19.9 for not enrolled) and state (4.6 for enrolled versus 4.7 for not enrolled) ADI rankings, Charlson Comorbidity Index scores (1.3 for both), and other self-reported sociodemographic characteristics including being of predominantly White race, non-Hispanic ethnicity, having English listed as their preferred language, and having a high school degree or greater. Logistic regression analyses showed higher likelihood of enrollment was associated with age 70 years or older compared with younger than 60 years (adjusted OR [aOR]: 1.29, 95% confidence interval [CI]: 1.00-1.66); female gender compared with male (aOR: 1.26, 95% CI: 1.06-1.50); non-Hispanic Black compared with non-Hispanic White (aOR: 1.87, 95% CI: 1.37-2.54); college degree education compared with less than high school degree (aOR: 1.47, 95% CI: 1.03-2.12); and zero primary care physician visits over the past 12 months compared with three or more (aOR: 1.43, 95% CI: 1.16-1.76).</div></div><div><h3>Conclusion</h3><div>Several factors previously associated with lower enrollment rates had greater likelihood of enrollment in our LCS-integrated tobacco cessation trial. Offering clinical trial recruitment integrated into existing clinical pathways may represent an opportune window to promote equity in clinical trial participation and LCS uptake and improve tobacco-related health outcomes.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 12","pages":"Pages 1465-1472"},"PeriodicalIF":5.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}