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A Multicomponent Behavior Change and Implementation Strategy to Increase Lung Cancer Screening in Primary Care Practices: The IBREATHE Study 在初级保健实践中增加肺癌筛查的多成分行为改变和实施策略:IBREATHE 研究
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-03-01 DOI: 10.1016/j.jacr.2024.12.004
Lauren K. Groner DO, MS , Katja Reuter PhD , Nathalie Moise MD, MS , Laura Robbins DSW , Rulla Tamimi ScD , Rishikesh P. Dalal MD, MPH , Stephen J. Peterson MD, MACP , Luis Blanco BFA , Kimberly L. Murdaugh MD, MS , Erica Phillips MD, MS

Objectives

Despite broader eligibility under the 2021 US Preventive Services Task Force guidelines, national lung cancer screening (LCS) uptake remains at around 16%. This radiologist-led study sought to identify LCS barriers in primary care settings and develop a theory-based behavior change and implementation strategy to improve screening rates in these settings.

Methods

A multiphase approach was used, including qualitative methods and frameworks (ie, Behavior Change Wheel; Capability, Opportunity, and Motivation of Behavior model; Theoretical Domains Framework; and Expert Recommendations for Implementing Change glossary) to understand and address LCS barriers.

Results

LCS barriers are represented by five major themes: (1) insurance pre-authorization; (2) patients’ cognitive and psychosocial barriers; (3) provider-patient knowledge and communication barriers; (4) the culture of a busy primary care practice; and (5) the test is ordered, patients do not follow through. Barriers impact primary care providers’ capability, opportunity, and motivation to implement guideline-concordant LCS into practice. The final multicomponent strategy (LungCheck) addressing these barriers includes educational meetings and materials, an implementation blueprint, a LCS navigator, a practical pack-year calculator, and electronic health records optimization.

Conclusions

We provide a road map for using behavioral and implementation science to understand LCS barriers and design an evidence-based, theory-informed multicomponent strategy to improve LCS uptake. Our radiologist-driven strategy addresses LCS barriers in primary care, has the potential to increase screening rates, and can serve as a model for implementing similar preventive health initiatives in other settings. The multicomponent strategy will be evaluated in a pilot study with two primary care practice models.
目标尽管美国预防服务工作组 2021 年指南扩大了筛查范围,但全国肺癌筛查(LCS)的接受率仍保持在 16% 左右。方法采用多阶段方法,包括定性方法和框架(即行为改变轮;行为的能力、机会和动机模型;理论领域框架;实施改变的专家建议词汇表)来了解和解决肺癌筛查障碍。结果 LCS 的障碍主要体现在五个方面:(1) 保险预授权;(2) 患者的认知和社会心理障碍;(3) 医疗服务提供者与患者之间的知识和沟通障碍;(4) 繁忙的初级医疗实践文化;(5) 下达了检查指令,但患者没有执行。这些障碍影响了初级医疗服务提供者在实践中实施与指南一致的 LCS 的能力、机会和动力。针对这些障碍的最终多组件策略(LungCheck)包括教育会议和材料、实施蓝图、LCS 导航员、实用的包年计算器以及电子健康记录优化。 结论我们提供了一个路线图,利用行为和实施科学来了解 LCS 障碍,并设计一个以证据为基础、以理论为依据的多组件策略来提高 LCS 使用率。我们以放射科医生为主导的策略解决了初级保健中的LCS障碍,具有提高筛查率的潜力,可作为在其他环境中实施类似预防保健措施的典范。我们将在两项初级医疗实践模式的试点研究中对这一多成分策略进行评估。
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引用次数: 0
Incidentally Detected Adrenal Nodules on Lung Cancer Screening CT
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-03-01 DOI: 10.1016/j.jacr.2024.12.003
Aparna Singh MD, Mark M. Hammer MD, Suzanne C. Byrne MD

Objective

To assess adherence to ACR recommendations for managing incidental adrenal lesions detected on lung cancer screening (LCS) CT examinations.

Methods

We performed a retrospective analysis of all LCS CT examinations within our health care system from January 2015 to August 2023. We included CTs that were reported with Lung-RADS “S” modifier for a focal adrenal lesion. We recorded whether follow-up imaging and biochemical testing were recommended and whether they were performed. Follow-up recommendations in reports were assessed for adherence to ACR recommendations.

Results

During the study period, 191 patients had a focal adrenal nodule reported. Per ACR recommendations, 36 of 191 (19%) warranted follow-up, but only 23 of 36 (64%) of these received follow-up recommendations. Of those 191, 155 (81%) did not require follow-up per ACR, and 25 of those 155 (16%) received follow-up recommendations. Of those who were advised follow-up, 34 of 48 (71%) received dedicated follow-up, 9 of 48 (19%) received follow-up imaging for another reason, and 5 of 48 (10%) did not receive any follow-up. Among those in whom follow-up was not recommended, 21 of 143 (15%) received dedicated follow-up, 101 of 143 (71%) received follow-up imaging for another reason, and 21 of 143 (15%) did not receive any follow-up. No malignant lesions were diagnosed. Per ACR recommendations, 183 of 191 (96%) of patients should have received biochemical testing; however, it was recommended in only 4 patients (2%).

Discussion

There was suboptimal adherence to ACR recommendations for managing incidental adrenal lesions on LCS CTs, with both unnecessary and missing follow-up recommendations. Recommendations for biochemical testing were nearly nonexistent, despite being part of the ACR algorithm.
方法 我们对 2015 年 1 月至 2023 年 8 月期间医疗保健系统内的所有 LCS CT 检查进行了回顾性分析。我们纳入了因肾上腺局灶性病变而报告的带有 Lung-RADS "S" 修饰符的 CT。我们记录了是否建议进行后续成像和生化检测,以及是否进行了这些检测。我们对报告中的随访建议是否符合 ACR 建议进行了评估。根据 ACR 建议,191 例患者中有 36 例(19%)需要随访,但 36 例中只有 23 例(64%)收到了随访建议。在这 191 人中,有 155 人(81%)不需要根据 ACR 进行随访,而这 155 人中有 25 人(16%)收到了随访建议。在被建议进行随访的患者中,48 人中有 34 人(71%)接受了专门的随访,48 人中有 9 人(19%)因其他原因接受了成像随访,48 人中有 5 人(10%)没有接受任何随访。在未被建议随访的患者中,143 人中有 21 人(15%)接受了专门的随访,143 人中有 101 人(71%)因其他原因接受了成像随访,143 人中有 21 人(15%)未接受任何随访。没有诊断出恶性病变。根据 ACR 建议,191 例患者中有 183 例(96%)本应接受生化检查,但只有 4 例患者(2%)被建议接受生化检查。尽管生化检测是 ACR 算法的一部分,但几乎没有生化检测建议。
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引用次数: 0
Patient-Reported Barriers and Preferred Interventions to Improve Lung Cancer Screening Uptake 患者反映的障碍和改善肺癌筛查接受率的首选干预措施
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-03-01 DOI: 10.1016/j.jacr.2024.10.010
Jinho Jung BS , Eisa Razzak BA , Axs Roc Avenido BS , Ali Rashidi MD , Stephanie Jia BS , Natalie Q. Tran BS , Rachel Yao BS , Emily L. Nguyen BS , Arsanyous Bernaba BS , Richard Echeverria MSc , Tan Q. Nguyen MD , Amir Imanzadeh MD , Gelareh Sadigh MD

Objective

Lung cancer screening (LCS) utilization remains low. We aimed at assessing LCS patient-reported barriers and preferred interventions to improve uptake.

Methods

Between July and November 2023, an electronic 60-item survey was completed by consented patients aged 50 to 80 years who were due to receive LCS, and their eligibility for LCS was confirmed. The survey assessed patients’ LCS perceptions and preferences to increase uptake. Regression analyses was performed to assess associated sociodemographic factors.

Results

In all, 12,558 patients were contacted; 1,396 responded, 871 were interested, and 86 were eligible and enrolled (mean age: 62.4; 40% female; 79.1% White, 4.7% Asian, 2.3% Black). LCS was perceived as beneficial for early lung cancer detection by 91.9%, yet only 24.4% had undergone LCS previously. Of the respondents, 54.7% identified barriers to LCS with the most common being cost (23.3%) and lack of symptoms (23.3%). Current (versus former) smokers reported higher barrier scores (B coefficient: 7.06, 95% confidence interval [CI], 1.71-13.12) and lower self-efficacy scores (B coefficient: −5.15; 95% CI, −8.73 to −1.56). Patients with prior cancer screening had higher self-efficacy scores (B coefficient, 8.92; 95% CI, 1.95-15.88). Preferred interventions included patient reminders (63.3%), primary care provider notification about LCS eligibility (62.0%), and educational materials (60.8%). Patients with higher self-efficacy (odds ratio, 1.16; 95% CI, 1.06-1.27) were more likely to prefer reminders. Patients with personal cancer history were more likely to prefer primary care provider notification (odds ratio, 5.81; 95% CI, 1.15,29.22).

Conclusions

Our results underscore the LCS perceived benefits and barriers, as well as patient-preferred interventions to enhance screening participation.
目标肺癌筛查(LCS)的利用率仍然很低。我们旨在评估肺癌筛查患者报告的障碍和首选干预措施,以提高肺癌筛查的利用率。方法在 2023 年 7 月至 11 月期间,对年龄在 50 岁至 80 岁之间、同意接受肺癌筛查并确认符合肺癌筛查条件的患者进行了一项 60 个项目的电子调查。该调查评估了患者对 LCS 的看法和偏好,以提高使用率。结果共联系了 12,558 名患者;1,396 人回复,871 人感兴趣,86 人符合条件并注册(平均年龄:62.4 岁;40% 为女性;79.1% 为白人,4.7% 为亚洲人,2.3% 为黑人)。91.9%的受访者认为 LCS 有利于早期肺癌检测,但只有 24.4% 的受访者以前接受过 LCS。54.7%的受访者指出了进行 LCS 的障碍,其中最常见的障碍是费用(23.3%)和缺乏症状(23.3%)。目前(相对于曾经)吸烟者的障碍得分更高(B 系数:7.06,95% 置信区间 [CI],1.71-13.12),自我效能得分更低(B 系数:-5.15;95% 置信区间,-8.73 至-1.56)。曾接受过癌症筛查的患者自我效能得分更高(B系数:8.92;95% CI:1.95-15.88)。首选干预措施包括患者提醒(63.3%)、初级保健提供者关于 LCS 资格的通知(62.0%)和教育材料(60.8%)。自我效能感较高的患者(几率比,1.16;95% CI,1.06-1.27)更倾向于提醒。有个人癌症病史的患者更倾向于由初级保健提供者发出通知(几率比为 5.81;95% CI 为 1.15-29.22)。
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引用次数: 0
Bone Mineral Density and Trabecular Microarchitecture Screening in Lung Transplant Candidates
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-03-01 DOI: 10.1016/j.jacr.2024.12.009
Alain E. Sherman MD, MBA , Aspan M. Shokrekhuda MD , Deepak P. Kalbi MD , Jenny T. Bencardino MD , Kwang J. Chun MD

Purpose

Lung transplant candidates routinely undergo dual-energy x-ray absorptiometry (DXA) screening due to increased risk of osteoporosis secondary to comorbidities and prolonged immunosuppression. Nonetheless, postoperative insufficiency fractures have been well documented, even in patients with normal bone mineral density (BMD). This study investigated the added value of trabecular bone score (TBS) as a complementary screening index of bone microarchitecture.

Methods

A retrospective review of 143 lung transplant candidates who underwent preoperative DXA screening was performed. TBS was calculated from DXA of the lumbar spine. DXA and TBS measurements were standardized using T-scores with reference to established population-based datasets.

Results

Differences in the observed rates of osteopenia (36.4%), osteoporosis (11.2%), partially degraded bone (35.0%), and degraded bone (35.0%) were statistically significant (P < .001). Abnormal trabecular microarchitecture was significantly more prevalent than abnormal BMD (69.9% versus 47.6%; P < .001). TBS T-scores (mean = −1.98, SD = 1.39) were, on average, significantly lower than DXA T-scores (mean = −0.80, SD = 1.57; t[142] = 9.09; P < .001). Hispanic patients (mean = −1.25, SD = 1.28) had significantly lower DXA T-scores compared with White (mean = −0.28, SD = 1.14) or Black patients (mean = −0.30, SD = 1.31; F[2, 109] = 8.28; P < .001). By contrast, TBS T-scores did not differ by race or ethnicity (F[2, 109] = 0.26; P = .78).

Conclusions

Impaired trabecular microarchitecture is extremely common among lung transplant candidates, with a substantial proportion at risk of fracture through degraded bone despite normal BMD. TBS offers promise as a simple, robust, inexpensive, and noninvasive screening adjunct to DXA in this unique and vulnerable population.
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引用次数: 0
Opportunistic Detection of Hepatocellular Carcinoma Using Noncontrast CT and Deep Learning Artificial Intelligence
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-03-01 DOI: 10.1016/j.jacr.2024.12.011
Chengzhi Peng MBBS , Philip Leung Ho Yu PhD , Jianliang Lu MPhil , Ho Ming Cheng PhD , Xin-Ping Shen MD , Keith Wan-Hang Chiu MD , Wai-Kay Seto MD

Objective

Hepatocellular carcinoma (HCC) poses a heavy global disease burden; early diagnosis is critical to improve outcomes. Opportunistic screening—the use of imaging data acquired for other clinical indications for disease detection—as well as the role of noncontrast CT have been poorly investigated in the context of HCC. We aimed to develop an artificial intelligence algorithm for efficient and accurate HCC detection using solely noncontrast CTs.

Methods

A 3-D convolutional block attention module (CABM) model was developed and trained on noncontrast multiphasic CT scans. HCC was diagnosed following American Association for the Study of Liver Disease guidelines and confirmed via 12-month clinical composite reference standard. CT observations were reviewed by radiologists; observations in at-risk patients were annotated via the Liver Imaging Reporting and Data System. Internal validation, independent external testing, and sensitivity analyses were performed to evaluate model performance and generalizability.

Results

In all, 2,223 patients were included. The CBAM model achieved an area under the receiver operating curve (AUC) of 0.807 (95% confidence interval [CI] 0.772-0.841) on the internal validation cohort, comparable to radiological interpretation at 0.851 (95% CI 0.820-0.882). Among at-risk patients, cases with definite HCC outcomes, indeterminate scans, and scans with small lesions < 2 cm in size, the model attained AUCs of 0.769 (95% CI 0.721-0.817), 0.815 (95% CI 0.778-0.853), 0.769 (95% CI 0.704-0.834), and 0.773 (95% CI 0.692-0.854). On external testing cohort with 584 patients, the CBAM model achieved an AUC of 0.789 (95% CI 0.750-0.827).

Discussion

The CBAM model achieved a diagnostic accuracy comparable to radiological interpretation during internal validation. Artificial intelligence analysis of noncontrast CTs has a potential role in HCC opportunistic screening.
{"title":"Opportunistic Detection of Hepatocellular Carcinoma Using Noncontrast CT and Deep Learning Artificial Intelligence","authors":"Chengzhi Peng MBBS ,&nbsp;Philip Leung Ho Yu PhD ,&nbsp;Jianliang Lu MPhil ,&nbsp;Ho Ming Cheng PhD ,&nbsp;Xin-Ping Shen MD ,&nbsp;Keith Wan-Hang Chiu MD ,&nbsp;Wai-Kay Seto MD","doi":"10.1016/j.jacr.2024.12.011","DOIUrl":"10.1016/j.jacr.2024.12.011","url":null,"abstract":"<div><h3>Objective</h3><div>Hepatocellular carcinoma (HCC) poses a heavy global disease burden; early diagnosis is critical to improve outcomes. Opportunistic screening—the use of imaging data acquired for other clinical indications for disease detection—as well as the role of noncontrast CT have been poorly investigated in the context of HCC. We aimed to develop an artificial intelligence algorithm for efficient and accurate HCC detection using solely noncontrast CTs.</div></div><div><h3>Methods</h3><div>A 3-D convolutional block attention module (CABM) model was developed and trained on noncontrast multiphasic CT scans. HCC was diagnosed following American Association for the Study of Liver Disease guidelines and confirmed via 12-month clinical composite reference standard. CT observations were reviewed by radiologists; observations in at-risk patients were annotated via the Liver Imaging Reporting and Data System. Internal validation, independent external testing, and sensitivity analyses were performed to evaluate model performance and generalizability.</div></div><div><h3>Results</h3><div>In all, 2,223 patients were included. The CBAM model achieved an area under the receiver operating curve (AUC) of 0.807 (95% confidence interval [CI] 0.772-0.841) on the internal validation cohort, comparable to radiological interpretation at 0.851 (95% CI 0.820-0.882). Among at-risk patients, cases with definite HCC outcomes, indeterminate scans, and scans with small lesions &lt; 2 cm in size, the model attained AUCs of 0.769 (95% CI 0.721-0.817), 0.815 (95% CI 0.778-0.853), 0.769 (95% CI 0.704-0.834), and 0.773 (95% CI 0.692-0.854). On external testing cohort with 584 patients, the CBAM model achieved an AUC of 0.789 (95% CI 0.750-0.827).</div></div><div><h3>Discussion</h3><div>The CBAM model achieved a diagnostic accuracy comparable to radiological interpretation during internal validation. Artificial intelligence analysis of noncontrast CTs has a potential role in HCC opportunistic screening.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 3","pages":"Pages 249-259"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529426","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}
引用次数: 0
Racial and Ethnic Disparities in Screening Mammography During COVID-19 in the Upper Midwest
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-03-01 DOI: 10.1016/j.jacr.2025.01.001
Nia Foster BS , Arissa Milton BS , Ryan W. Woods MD, MPH , Mai Elezaby MD , Joan Neuner MD, MPH , Kelly Hackett MPH , Noelle LoConte MD, MS , Elizabeth S. Burnside MD, MHS, MS , Anand K. Narayan MD, PhD

Objective

Studies conducted prior to COVID-19 suggested that racial and ethnic disparities in mammographic screening have reduced over time. COVID-19 has had devastating effects on racial and ethnic minority populations, resulting in delays in preventive screening. Our purpose was to determine if racial and ethnic minority groups were less likely to receive mammographic screening during the COVID-19 pandemic.

Methods

Retrospective cross-sectional study was conducted in a multisite academic medical center in the Upper Midwest to evaluate screening disparities during the COVID-19 pandemic. Participants included 50- to 74-year-old female individuals (June 2021 to May 2022). Additional control group was included for pre-COVID-19 case-control comparison (June 2018 to May 2019). Unadjusted and adjusted logistic regression analyses estimated the association between screening and race and ethnicity including interaction terms to assess temporal interactions associated with COVID-19. Study was deemed exempt from institutional review board review.

Results

In all, 37,509 eligible female patients were included. Of them, 73.8% of eligible patients received a mammogram within the last 2 years (White 74.7%, Black 57.6%, Asian 67.0%, American Indian 60.1%, Hispanic 64.2%). In our adjusted analyses, Black (P < .001), Asian (P = .003), and American Indian patients (P = .001) were less likely to receive screening. Hispanic patients were comparably likely to receive screening (P = .338). Non-English-preferred languages, uninsured or Medicaid, and living in rural areas were associated with decreased screening (P < .001). In all, 36,768 eligible female patients were included for pre-COVID-19 comparison. Compared with the pre–COVID-19 time period, COVID-19 was associated with increased screening disparities (P < .001) for Black and Hispanic women (P < .001).

Conclusion

The COVID-19 pandemic was associated with increased racial and ethnic screening disparities. Targeted outreach efforts are required to ensure equitable access to mammographic screening for medically underserved patient populations.
{"title":"Racial and Ethnic Disparities in Screening Mammography During COVID-19 in the Upper Midwest","authors":"Nia Foster BS ,&nbsp;Arissa Milton BS ,&nbsp;Ryan W. Woods MD, MPH ,&nbsp;Mai Elezaby MD ,&nbsp;Joan Neuner MD, MPH ,&nbsp;Kelly Hackett MPH ,&nbsp;Noelle LoConte MD, MS ,&nbsp;Elizabeth S. Burnside MD, MHS, MS ,&nbsp;Anand K. Narayan MD, PhD","doi":"10.1016/j.jacr.2025.01.001","DOIUrl":"10.1016/j.jacr.2025.01.001","url":null,"abstract":"<div><h3>Objective</h3><div>Studies conducted prior to COVID-19 suggested that racial and ethnic disparities in mammographic screening have reduced over time. COVID-19 has had devastating effects on racial and ethnic minority populations, resulting in delays in preventive screening. Our purpose was to determine if racial and ethnic minority groups were less likely to receive mammographic screening during the COVID-19 pandemic.</div></div><div><h3>Methods</h3><div>Retrospective cross-sectional study was conducted in a multisite academic medical center in the Upper Midwest to evaluate screening disparities during the COVID-19 pandemic. Participants included 50- to 74-year-old female individuals (June 2021 to May 2022). Additional control group was included for pre-COVID-19 case-control comparison (June 2018 to May 2019). Unadjusted and adjusted logistic regression analyses estimated the association between screening and race and ethnicity including interaction terms to assess temporal interactions associated with COVID-19. Study was deemed exempt from institutional review board review.</div></div><div><h3>Results</h3><div>In all, 37,509 eligible female patients were included. Of them, 73.8% of eligible patients received a mammogram within the last 2 years (White 74.7%, Black 57.6%, Asian 67.0%, American Indian 60.1%, Hispanic 64.2%). In our adjusted analyses, Black (<em>P</em> &lt; .001), Asian (<em>P</em> = .003), and American Indian patients (<em>P</em> = .001) were less likely to receive screening. Hispanic patients were comparably likely to receive screening (<em>P</em> = .338). Non-English-preferred languages, uninsured or Medicaid, and living in rural areas were associated with decreased screening (<em>P</em> &lt; .001). In all, 36,768 eligible female patients were included for pre-COVID-19 comparison. Compared with the pre–COVID-19 time period, COVID-19 was associated with increased screening disparities (<em>P</em> &lt; .001) for Black and Hispanic women (<em>P</em> &lt; .001).</div></div><div><h3>Conclusion</h3><div>The COVID-19 pandemic was associated with increased racial and ethnic screening disparities. Targeted outreach efforts are required to ensure equitable access to mammographic screening for medically underserved patient populations.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 3","pages":"Pages 315-323"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529491","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}
引用次数: 0
Association of Average Cyst Diameter Versus Single Maximum Diameter of Pancreatic Cysts to Cyst Volume and Impact on Screening Guideline Classification
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-03-01 DOI: 10.1016/j.jacr.2024.12.005
Sara Babapour MD , Abraham F. Bezuidenhout MD , Miriel Handler MD , Clarissa Lee , Alexander Brook PhD , Leo L. Tsai MD, PhD

Objective

To compare the association of single maximum diameter and average cyst diameter of pancreatic cysts measured on magnetic resonance cholangiopancreatography (MRCP) with segmented cyst volume and secondarily evaluate the effect of average cyst diameter on screening guideline classification.

Methods

Consecutive patients with pancreatic cysts < 3 cm on MRCP in 2017 were retrospectively identified. The single maximum diameter and perpendicular short axis diameter of pancreatic cysts obtained on coronal MRCP were measured and their average was taken to determine average cyst diameter. Calculated volume approximations based on single maximum diameter and average cyst diameter were compared with segmented cyst volume. Subsequently, patients were classified based on average cyst diameter versus single maximum diameter according to a currently used screening guideline. Intraclass correlation was used to assess interobserver agreement. Williams’s test was used to compare between-group correlation coefficients.

Results

The mean value of single maximum diameters and average cyst diameter of the 86 included cysts were 15.4 ± 7.3 mm and 12.6 ± 6.1 mm, respectively. The mean volume of segmented cysts was 1,521 ± 1,983 mm3. Interreader agreement for measurement of cyst diameters was excellent (r = 0.99). The volume calculated based on the average cyst diameter correlated better to segmented cyst volume (r = 0.88) than single maximum diameter (r = 0.73, P < .0001). Of 86 patients, 24 (28%) were classified to a less stringent follow-up strategy by using average cyst diameter.

Discussion

The average cyst diameter more accurately reflects the segmented cyst volume than a single maximum diameter. Utilization of average cyst diameter in existing screening guidelines reclassified 28% of patients into lower-risk screening groups, which would reduce subsequent surveillance imaging overall.
{"title":"Association of Average Cyst Diameter Versus Single Maximum Diameter of Pancreatic Cysts to Cyst Volume and Impact on Screening Guideline Classification","authors":"Sara Babapour MD ,&nbsp;Abraham F. Bezuidenhout MD ,&nbsp;Miriel Handler MD ,&nbsp;Clarissa Lee ,&nbsp;Alexander Brook PhD ,&nbsp;Leo L. Tsai MD, PhD","doi":"10.1016/j.jacr.2024.12.005","DOIUrl":"10.1016/j.jacr.2024.12.005","url":null,"abstract":"<div><h3>Objective</h3><div>To compare the association of single maximum diameter and average cyst diameter of pancreatic cysts measured on magnetic resonance cholangiopancreatography (MRCP) with segmented cyst volume and secondarily evaluate the effect of average cyst diameter on screening guideline classification.</div></div><div><h3>Methods</h3><div>Consecutive patients with pancreatic cysts &lt; 3 cm on MRCP in 2017 were retrospectively identified. The single maximum diameter and perpendicular short axis diameter of pancreatic cysts obtained on coronal MRCP were measured and their average was taken to determine average cyst diameter. Calculated volume approximations based on single maximum diameter and average cyst diameter were compared with segmented cyst volume. Subsequently, patients were classified based on average cyst diameter versus single maximum diameter according to a currently used screening guideline. Intraclass correlation was used to assess interobserver agreement. Williams’s test was used to compare between-group correlation coefficients.</div></div><div><h3>Results</h3><div>The mean value of single maximum diameters and average cyst diameter of the 86 included cysts were 15.4 ± 7.3 mm and 12.6 ± 6.1 mm, respectively. The mean volume of segmented cysts was 1,521 ± 1,983 mm<sup>3</sup>. Interreader agreement for measurement of cyst diameters was excellent (<em>r</em> = 0.99). The volume calculated based on the average cyst diameter correlated better to segmented cyst volume (<em>r</em> = 0.88) than single maximum diameter (<em>r</em> = 0.73, <em>P</em> &lt; .0001). Of 86 patients, 24 (28%) were classified to a less stringent follow-up strategy by using average cyst diameter.</div></div><div><h3>Discussion</h3><div>The average cyst diameter more accurately reflects the segmented cyst volume than a single maximum diameter. Utilization of average cyst diameter in existing screening guidelines reclassified 28% of patients into lower-risk screening groups, which would reduce subsequent surveillance imaging overall.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 3","pages":"Pages 324-331"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529492","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}
引用次数: 0
Hepatocellular Carcinoma Screening: From Current Standard of Care to Future Directions
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-03-01 DOI: 10.1016/j.jacr.2024.10.014
Michael Mohnasky MBS , Sandra Gad MSc , Andrew Moon MD, MPH , A. Sidney Barritt MD, MSCR , Resmi A. Charalel MD, MPH , Caroline Eckblad , Andrew Caddell , Minzhi Xing MD, MPH , Nima Kokabi MD
Hepatocellular carcinoma (HCC) represents a significant portion of global cancer incidence and mortality. Screening with ultrasound with or without alpha-fetoprotein is recommended for those at high-risk. Although screening can lead to earlier treatment and better outcomes, existing screening paradigms have several flaws. Ultrasound does not capture all early lesions and has lower efficacy in specific populations such as patients with obesity or those with metabolic dysfunction-associated steatotic liver disease (MASLD). Additionally, individuals with noncirrhotic MASLD and chronic hepatitis C also develop HCC, although not at high enough rates to justify screening based on current standards. These individuals, however, represent a substantial proportion of new HCC cases given rising MASLD rates and the endemic nature of hepatitis C in certain regions. Risk-stratifying these populations may reveal subsets that are higher risk and warrant screening. Several imaging advances, including contrast-enhanced ultrasound and abbreviated MRI protocols, may improve detection compared with the current approach. Evaluation of risk stratification and validation of these new imaging methods via clinical trials would likely lead to adjusting screening guidelines. This narrative review provides a diagnostic and interventional radiology-focused summary of the HCC screening guidelines and their recent evolution and highlights emerging imaging methods as potential screening tools of the future.
{"title":"Hepatocellular Carcinoma Screening: From Current Standard of Care to Future Directions","authors":"Michael Mohnasky MBS ,&nbsp;Sandra Gad MSc ,&nbsp;Andrew Moon MD, MPH ,&nbsp;A. Sidney Barritt MD, MSCR ,&nbsp;Resmi A. Charalel MD, MPH ,&nbsp;Caroline Eckblad ,&nbsp;Andrew Caddell ,&nbsp;Minzhi Xing MD, MPH ,&nbsp;Nima Kokabi MD","doi":"10.1016/j.jacr.2024.10.014","DOIUrl":"10.1016/j.jacr.2024.10.014","url":null,"abstract":"<div><div>Hepatocellular carcinoma (HCC) represents a significant portion of global cancer incidence and mortality. Screening with ultrasound with or without alpha-fetoprotein is recommended for those at high-risk. Although screening can lead to earlier treatment and better outcomes, existing screening paradigms have several flaws. Ultrasound does not capture all early lesions and has lower efficacy in specific populations such as patients with obesity or those with metabolic dysfunction-associated steatotic liver disease (MASLD). Additionally, individuals with noncirrhotic MASLD and chronic hepatitis C also develop HCC, although not at high enough rates to justify screening based on current standards. These individuals, however, represent a substantial proportion of new HCC cases given rising MASLD rates and the endemic nature of hepatitis C in certain regions. Risk-stratifying these populations may reveal subsets that are higher risk and warrant screening. Several imaging advances, including contrast-enhanced ultrasound and abbreviated MRI protocols, may improve detection compared with the current approach. Evaluation of risk stratification and validation of these new imaging methods via clinical trials would likely lead to adjusting screening guidelines. This narrative review provides a diagnostic and interventional radiology-focused summary of the HCC screening guidelines and their recent evolution and highlights emerging imaging methods as potential screening tools of the future.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 3","pages":"Pages 260-268"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529543","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}
引用次数: 0
Using Incidental Radiologic Findings of Hepatic Steatosis to Improve the Diagnosis of Metabolic Dysfunction-Associated Steatotic Liver Disease
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-03-01 DOI: 10.1016/j.jacr.2024.12.014
Emily Schonfeld MD , Andrea Siobhan Kierans MD , Rena Fox MD , Danielle Brandman MD, MAS
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common cause of liver disease worldwide. In patients with MASLD, liver fibrosis stage is the most significant predictor of mortality; therefore, early identification of patients at the greatest risk of advanced fibrosis is essential. Noninvasive tests predict advanced fibrosis and are recommended for use in primary care settings to determine which patients would benefit most from specialty care. The adoption of these tools is not widespread, and several studies have reported underrecognition of cirrhosis in patients with MASLD and diabetes. The finding of hepatic steatosis on imaging performed for evaluation of nonliver conditions may present an avenue for opportunistic screening to identify more patients with MASLD. This article will review recommendations for when hepatic steatosis is found on imaging and noninvasive tests that can be used to help predict fibrosis staging. This is a significant area of research because a new treatment for MASLD has been approved, and other treatments may follow.
{"title":"Using Incidental Radiologic Findings of Hepatic Steatosis to Improve the Diagnosis of Metabolic Dysfunction-Associated Steatotic Liver Disease","authors":"Emily Schonfeld MD ,&nbsp;Andrea Siobhan Kierans MD ,&nbsp;Rena Fox MD ,&nbsp;Danielle Brandman MD, MAS","doi":"10.1016/j.jacr.2024.12.014","DOIUrl":"10.1016/j.jacr.2024.12.014","url":null,"abstract":"<div><div>Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common cause of liver disease worldwide. In patients with MASLD, liver fibrosis stage is the most significant predictor of mortality; therefore, early identification of patients at the greatest risk of advanced fibrosis is essential. Noninvasive tests predict advanced fibrosis and are recommended for use in primary care settings to determine which patients would benefit most from specialty care. The adoption of these tools is not widespread, and several studies have reported underrecognition of cirrhosis in patients with MASLD and diabetes. The finding of hepatic steatosis on imaging performed for evaluation of nonliver conditions may present an avenue for opportunistic screening to identify more patients with MASLD. This article will review recommendations for when hepatic steatosis is found on imaging and noninvasive tests that can be used to help predict fibrosis staging. This is a significant area of research because a new treatment for MASLD has been approved, and other treatments may follow.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 3","pages":"Pages 358-365"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529370","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}
引用次数: 0
Realizing the Potential for Opportunistic Early Detection of Abnormalities on Medical Imaging Using Artificial Intelligence 利用人工智能实现医学影像异常早期机会性检测的潜力。
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-02-01 DOI: 10.1016/j.jacr.2024.09.003
Monica M. Matsumoto MD , Christoph I. Lee MD, MS, MBA
{"title":"Realizing the Potential for Opportunistic Early Detection of Abnormalities on Medical Imaging Using Artificial Intelligence","authors":"Monica M. Matsumoto MD ,&nbsp;Christoph I. Lee MD, MS, MBA","doi":"10.1016/j.jacr.2024.09.003","DOIUrl":"10.1016/j.jacr.2024.09.003","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 2","pages":"Pages 230-231"},"PeriodicalIF":4.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302713","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}
引用次数: 0
期刊
Journal of the American College of Radiology
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