Radiology. Cardiothoracic imaging最新文献

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Cardiac MRI-based Subclinical Cardiac Dysfunction during 2 Years after Breast Cancer Irradiation: The MEDIRAD EARLY-HEART Study. 乳腺癌放疗后2年内基于心脏mri的亚临床心功能障碍:MEDIRAD早期心脏研究。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-04-01 DOI: 10.1148/ryct.240231
Jérôme Lamy, Daan S Spoor, Johannes A Langendijk, Rozemarijn Vliegenthart, Arantxa Eraso, Montserrat Ventura, Susana Constantino Rosa Santos, Manuela Fiúza, Nadjia Kachenoura, Anne P G Crijns, Elie Mousseaux
{"title":"Cardiac MRI-based Subclinical Cardiac Dysfunction during 2 Years after Breast Cancer Irradiation: The MEDIRAD EARLY-HEART Study.","authors":"Jérôme Lamy, Daan S Spoor, Johannes A Langendijk, Rozemarijn Vliegenthart, Arantxa Eraso, Montserrat Ventura, Susana Constantino Rosa Santos, Manuela Fiúza, Nadjia Kachenoura, Anne P G Crijns, Elie Mousseaux","doi":"10.1148/ryct.240231","DOIUrl":"10.1148/ryct.240231","url":null,"abstract":"<p><p>Purpose To evaluate the relationship between cardiac radiation doses and subclinical changes in cardiac function using cardiac MRI during 2 years of follow-up in patients with breast cancer treated with radiation therapy without chemotherapy after lumpectomy. Materials and Methods This prospective multicenter study (NCT03297346) enrolled female individuals with breast cancer treated with radiation therapy between December 2017 and September 2019. Participants underwent cardiac MRI at baseline, 6 months, and 24 months. Cardiac radiation doses were assessed for the whole heart (WH) and right and left ventricles (LV). A persistent decrease in LV global longitudinal strain (GLS) from baseline to the other two measurement points over the 2-year follow-up was considered an adverse subclinical change in cardiac function. Statistical analysis included Wilcoxon tests for continuous variables and odds ratios for risk assessment. Results The study included 138 female participants (mean age, 58.4 years ± 8.0 [SD]). Mean WH and LV doses were 1.42 Gy (IQR, 1.03-2.01) and 1.46 Gy (IQR, 0.64-2.34). At the 2-year follow-up, all participants had reduced LV end-diastolic volume (EDV) (-4.0% ± 13.2; <i>P</i> < .001) and stroke volume (-3.4% ± 15.2; <i>P</i> < .001), preserved LV ejection fraction, and increased LV remodeling (LV mass/EDV ratio) (4.2% ± 18.1; <i>P</i> < .04) without associated symptoms. Twenty-three (16.6%) participants showed a persistent decrease in LV GLS and received higher mean WH and LV doses compared with participants without persistent decrease in LV GLS (WH: 2.09 Gy [IQR, 1.50-2.45] vs 1.36 Gy [IQR, 1.01-1.87], <i>P</i> < .001; LV: 2.40 Gy [IQR, 1.09-2.88] vs 1.34 Gy [IQR, 0.63-2.02], <i>P</i> = .002). The relative changes in LV EDV and LV mass/EDV were -12.7% ± 9.0 versus -2.2% ± 13.3 (<i>P</i> < .001) and 14.2% ± 15.5 versus 2.2% ± 18.1 (<i>P</i> = .002), respectively, in participants with and without a persistent decrease in LV GLS. A higher WH cardiac radiation dose was associated with a higher risk of a persistent decrease in LV GLS (odds ratio, 1.09 [95% CI: 1.02, 1.16]). Conclusion In participants with recent breast cancer radiation therapy, a modest but persistent reduction in LV GLS over a 2-year follow-up period was associated with the cardiac radiation dose. <b>Keywords:</b> Radiotherapy, Magnetic Resonance Imaging, Cardiotoxicity, Strain Clinical trial registration no. NCT03297346 <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 2","pages":"e240231"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143773223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Incremental Prognostic Value of Perivascular Fat Attenuation Index in Patients with Diabetes with Coronary Artery Disease. 糖尿病合并冠心病患者血管周围脂肪衰减指数的增量预后价值。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-04-01 DOI: 10.1148/ryct.240242
Yipu Ding, Dongkai Shan, Tianwen Han, Zinuan Liu, Xi Wang, Guanhua Dou, Ran Xin, Ziqiang Guo, Guanxi Chen, Jing Jing, Bai He, Yundai Chen, Junjie Yang
{"title":"Incremental Prognostic Value of Perivascular Fat Attenuation Index in Patients with Diabetes with Coronary Artery Disease.","authors":"Yipu Ding, Dongkai Shan, Tianwen Han, Zinuan Liu, Xi Wang, Guanhua Dou, Ran Xin, Ziqiang Guo, Guanxi Chen, Jing Jing, Bai He, Yundai Chen, Junjie Yang","doi":"10.1148/ryct.240242","DOIUrl":"10.1148/ryct.240242","url":null,"abstract":"<p><p>Purpose To investigate whether pericoronary adipose tissue attenuation (PCATa) provides incremental prognostic value over commonly used coronary CT angiography (CCTA) parameters for predicting major adverse cardiovascular and cerebrovascular events (MACCE) in individuals with diabetes mellitus (DM). Materials and Methods This prospective study included consecutive patients with type 2 DM who underwent CCTA due to suspected coronary artery disease between January 2015 and December 2017. PCATa of three coronary arteries was measured and evaluated. Cox proportional hazards regression was performed to investigate the prognostic value of PCATa for predicting MACCE. The incremental prognostic value of PCATa for MACCE was evaluated by comparing area under the receiver operating characteristic curve (AUC) values of four models (model 1: clinical characteristics, model 2: model 1 + conventional CCTA findings [coronary artery calcium score, Leiden score], model 3: model 2 + advanced CCTA findings [high-risk plaque, CT fractional flow reserve], model 4: model 3 + PCATa). Results Of the 1029 participants (mean age, 60.2 years ± 9.9 [SD]; 539 male) included in the study, 152 (14.8%) experienced MACCE during a median follow-up of 56.5 months. PCATa independently predicted MACCE after adjustment for clinical characteristics and commonly used CCTA findings (hazard ratio, 1.86 [95% CI: 1.24, 2.80]; <i>P</i> = .003). The model incorporating PCATa improved predictive performance for MACCE compared with the model including clinical characteristics and conventional and advanced CCTA parameters (AUC, 0.75 [95% CI: 0.71, 0.79] vs 0.73 [95% CI: 0.68, 0.77]; <i>P</i> = .009). Conclusion PCATa provided incremental prognostic value beyond clinical characteristics and other CCTA findings for prediction of MACCE in individuals with DM. <b>Keywords:</b> CT Angiography, Cardiac, Coronary Arteries, Inflammation, Outcomes Analysis, Coronary Computed Tomography Angiography, Diabetes Mellitus, Coronary Inflammation, Pericoronary Adipose Tissue Attenuation <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 2","pages":"e240242"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143568031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vertebral Arteria Lusoria: A Rare Variant. 椎动脉无色:一种罕见的变异。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-04-01 DOI: 10.1148/ryct.240291
Aprateem Mukherjee, Damandeep Singh, Sanjeev Kumar, Lamk Kadiyani
{"title":"Vertebral Arteria Lusoria: A Rare Variant.","authors":"Aprateem Mukherjee, Damandeep Singh, Sanjeev Kumar, Lamk Kadiyani","doi":"10.1148/ryct.240291","DOIUrl":"https://doi.org/10.1148/ryct.240291","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 2","pages":"e240291"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144029398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Coronary Artery Calcium Score and Incident Lung Cancer in a Population-based Cohort: The Screening Perspective. 基于人群队列的冠状动脉钙评分和肺癌发病率:筛选视角。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-04-01 DOI: 10.1148/ryct.240156
Benjamin Borchardt, Sara Schramm, Raimund Erbel, Thomas Schlosser, Jürgen In der Schmitten, Dietrich Grönemeyer, Rainer Seibel, Karl-Heinz Jöckel
{"title":"Coronary Artery Calcium Score and Incident Lung Cancer in a Population-based Cohort: The Screening Perspective.","authors":"Benjamin Borchardt, Sara Schramm, Raimund Erbel, Thomas Schlosser, Jürgen In der Schmitten, Dietrich Grönemeyer, Rainer Seibel, Karl-Heinz Jöckel","doi":"10.1148/ryct.240156","DOIUrl":"https://doi.org/10.1148/ryct.240156","url":null,"abstract":"<p><p>Purpose To estimate the extent in which coronary artery calcium (CAC) score and incident lung cancer diagnosis are associated and determine if use of CAC score to predict lung cancer could improve lung cancer screening (LCS). Materials and Methods This retrospective analysis analyzed data from an ongoing, prospective, population-based cohort study (Heinz Nixdorf Recall study) in which participants aged 45-75 years underwent electron-beam CT of the heart. The association between CAC score and incident lung cancer was assessed using Cox proportional hazard regression models adjusted for potential confounders. The area under the receiver operating characteristic curve (AUC) was used to assess predictive performance of CAC score for lung cancer in all participants, eligible participants, and ineligible participants for LCS. Results The study included 4605 participants (mean age, 59.7 [SD, 7.8] years; 2328 female). During a median follow-up time of 15.2 years, incident lung cancer was diagnosed in 111 participants. CAC score as a continuous variable (log CAC+1) was associated with incident lung cancer (hazard ratio [HR] in the fully adjusted model: 1.21 [95% CI: 1.10, 1.32]). A CAC score of 400 or higher versus 0 was associated with a more than fourfold higher risk of lung cancer (adjusted HR: 4.31 [95% CI: 2.19, 8.51]). CAC score alone showed poor performance for predicting lung cancer in the total study sample (AUC, 0.63) and subgroups of participants eligible (AUC, 0.56) and ineligible (AUC, 0.61) for LCS. Conclusion CAC score was associated with incident lung cancer but did not demonstrate potential to improve the efficiency of LCS. <b>Keywords:</b> Epidemiology, Screening, Arteriosclerosis, Cardiac, Thorax, CT, Lung Cancer <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 2","pages":"e240156"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Free-breathing, Highly Accelerated, Single-beat, Multisection Cardiac Cine MRI with Generative Artificial Intelligence. 自由呼吸,高加速,单拍,多段心脏电影MRI与生成人工智能。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-04-01 DOI: 10.1148/ryct.240272
Fahime Ghanbari, Manuel A Morales, Jordan A Street, Jennifer Rodriguez, Scott Johnson, Patrick Pierce, Adele Carty, Long H Ngo, Christopher W Hoeger, Connie W Tsao, Warren J Manning, Reza Nezafat
{"title":"Free-breathing, Highly Accelerated, Single-beat, Multisection Cardiac Cine MRI with Generative Artificial Intelligence.","authors":"Fahime Ghanbari, Manuel A Morales, Jordan A Street, Jennifer Rodriguez, Scott Johnson, Patrick Pierce, Adele Carty, Long H Ngo, Christopher W Hoeger, Connie W Tsao, Warren J Manning, Reza Nezafat","doi":"10.1148/ryct.240272","DOIUrl":"10.1148/ryct.240272","url":null,"abstract":"<p><p>Purpose To develop and evaluate a free-breathing, highly accelerated, multisection, single-beat cine sequence for cardiac MRI. Materials and Methods This prospective study, conducted from July 2022 to December 2023, included participants with various cardiac conditions as well as healthy participants who were imaged using a 3-T MRI system. A single-beat sequence was implemented, collecting data for each section in one heartbeat. Images were acquired with an in-plane spatiotemporal resolution of 1.9 × 1.9 mm<sup>2</sup> and 37 msec and reconstructed using resolution enhancement generative adversarial inline neural network (REGAIN), a deep learning model. Multibreath-hold k-space-segmented (4.2-fold acceleration) and free-breathing single-beat (14.8-fold acceleration) cine images were collected, both reconstructed with REGAIN. Left ventricular (LV) and right ventricular (RV) parameters between the two methods were evaluated with linear regression, Bland-Altman analysis, and Pearson correlation. Three expert cardiologists independently scored diagnostic and image quality. Scan and rescan reproducibility was evaluated in a subset of participants 1 year apart using the intraclass correlation coefficient (ICC). Results This study included 136 participants (mean age [SD], 54 years ± 15; 69 female, 67 male), 40 healthy and 96 with cardiac conditions. k-Space-segmented and single-beat scan times were 2.6 minutes ± 0.8 and 0.5 minute ± 0.1, respectively. Strong correlations (<i>P</i> < .001) were observed between k-space-segmented and single-beat cine parameters in both LV (<i>r</i> = 0.97-0.99) and RV (<i>r</i> = 0.89-0.98). Scan and rescan reproducibility of single-beat cine was excellent (ICC, 0.97-1.0). Agreement among readers was high, with 125 of 136 (92%) images consistently assessed as diagnostic and 133 of 136 (98%) consistently rated as having good image quality by all readers. Conclusion Free-breathing 30-second single-beat cardiac cine MRI yielded accurate biventricular measurements, reduced scan time, and maintained high diagnostic and image quality compared with conventional multibreath-hold k-space-segmented cine images. <b>Keywords:</b> MR-Imaging, Cardiac, Heart, Imaging Sequences, Comparative Studies, Technology Assessment <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 2","pages":"e240272"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038826/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143773227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Predictive Value of Left Atrial Strain for Thrombotic Events in Hypertrophic Cardiomyopathy without Atrial Fibrillation. 左心房应变对肥厚性心肌病无房颤患者血栓事件的预测价值。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-02-01 DOI: 10.1148/ryct.230405
Lutong Pu, Jie Wang, Jialin Li, Weitang Qi, Yuanwei Xu, Ke Wan, Yu Kang, Qing Zhang, Yuchi Han, Yucheng Chen
{"title":"Predictive Value of Left Atrial Strain for Thrombotic Events in Hypertrophic Cardiomyopathy without Atrial Fibrillation.","authors":"Lutong Pu, Jie Wang, Jialin Li, Weitang Qi, Yuanwei Xu, Ke Wan, Yu Kang, Qing Zhang, Yuchi Han, Yucheng Chen","doi":"10.1148/ryct.230405","DOIUrl":"10.1148/ryct.230405","url":null,"abstract":"<p><p>Purpose To assess the predictive value of left atrial (LA) fast long-axis strain derived from cardiac MRI for thrombotic events (TEs) in individuals with hypertrophic cardiomyopathy (HCM). Materials and Methods This secondary analysis of an ongoing prospective trial (Chinese Clinical Trial Registry: ChiCTR1900024094) included consecutive participants with HCM without atrial fibrillation (AF) who underwent cardiac MRI from January 2012 to December 2020. The LA fast long-axis strain was obtained by semiautomatically tracking the distance between the atrioventricular junction and the midposterior LA wall. The primary end point was the occurrence of TEs, including ischemic stroke, transient ischemic attack, and systemic thromboembolism. The predictive value of LA strain was determined with Cox analysis. Results Overall, 714 participants with HCM (mean age ± SD, 50.1 years ± 14.3; 441 men, 273 women; obstructive HCM, <i>n</i> = 289; apical HCM, <i>n</i> = 144) were included (median follow-up: 51 months). Twenty-eight (3.9%) participants with HCM experienced TEs, 60% (17 of 28) of whom had no new-onset AF. Those who experienced TEs had lower LA reservoir and conduit strains (16.2% ± 7.3 vs 21.8% ± 8.3, <i>P</i> = .001; 5.9% ± 3.5 vs 9.7% ± 5.5, <i>P</i> = .01, respectively), with no evidence of a difference in LA booster strain between groups. LA reservoir and conduit strain were independent predictors of TEs in different multivariable models, even after adjusting for age, diabetes, and left ventricular ejection fraction (adjusted hazard ratios: reservoir strain [per 5% decrease], 1.29-1.34 [95% CI: 1.05, 1.50]; conduit strain [per 5% decrease], 1.42-1.47 [95% CI: 1.04, 1.67]). Conclusion Cardiac MRI-derived LA reservoir and conduit strain were independent predictors for the occurrence of TEs in individuals with HCM without AF. <b>Keywords:</b> MR-Imaging, Left Atrium, Cardiomyopathies, Hypertrophic Cardiomyopathy, Thromboembolism, Cardiac Magnetic Resonance Chinese Clinical Trial Registry no. ChiCTR1900024094 <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 1","pages":"e230405"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143067484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
2024 Manuscript Reviewers: A Note of Thanks. 2024手稿审稿人:一封感谢信。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-02-01 DOI: 10.1148/ryct.250059
Umar Mahmood, Suhny Abbara
{"title":"2024 Manuscript Reviewers: A Note of Thanks.","authors":"Umar Mahmood, Suhny Abbara","doi":"10.1148/ryct.250059","DOIUrl":"https://doi.org/10.1148/ryct.250059","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 1","pages":"e250059"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143516601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Editor's Recognition Awards to Reviewers. 编辑嘉许奖予审稿人。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-02-01 DOI: 10.1148/ryct.250058
Suhny Abbara
{"title":"Editor's Recognition Awards to Reviewers.","authors":"Suhny Abbara","doi":"10.1148/ryct.250058","DOIUrl":"https://doi.org/10.1148/ryct.250058","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 1","pages":"e250058"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143516602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MRI-assessed Dynamic Hyperinflation Induced by Tachypnea in Chronic Obstructive Pulmonary Disease: The SPIROMICS-HF Study. mri评估慢性阻塞性肺疾病呼吸急促引起的动态高充气式:SPIROMICS-HF研究。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-02-01 DOI: 10.1148/ryct.240053
Xuzhe Zhang, Christopher B Cooper, Martin R Prince, Bharath Ambale-Venkatesh, Prachi P Agarwal, Michael C Backman, David A Bluemke, David Couper, Stephen M Dashnaw, John P Finn, Nadia N Hansel, Eric A Hoffman, Sachin Jambawalikar, Dalane W Kitzman, Jerry A Krishnan, Yoo Jin Lee, João A C Lima, Jing Liu, Martha G Menchaca, Jill Ohar, Victor E Ortega, Robert Paine, Stephen P Peters, Joyce D Schroeder, Jens Vogel-Claussen, Prescott G Woodruff, R Graham Barr, Wei Shen
{"title":"MRI-assessed Dynamic Hyperinflation Induced by Tachypnea in Chronic Obstructive Pulmonary Disease: The SPIROMICS-HF Study.","authors":"Xuzhe Zhang, Christopher B Cooper, Martin R Prince, Bharath Ambale-Venkatesh, Prachi P Agarwal, Michael C Backman, David A Bluemke, David Couper, Stephen M Dashnaw, John P Finn, Nadia N Hansel, Eric A Hoffman, Sachin Jambawalikar, Dalane W Kitzman, Jerry A Krishnan, Yoo Jin Lee, João A C Lima, Jing Liu, Martha G Menchaca, Jill Ohar, Victor E Ortega, Robert Paine, Stephen P Peters, Joyce D Schroeder, Jens Vogel-Claussen, Prescott G Woodruff, R Graham Barr, Wei Shen","doi":"10.1148/ryct.240053","DOIUrl":"10.1148/ryct.240053","url":null,"abstract":"<p><p>Purpose To assess the repeatability of real-time cine pulmonary MRI measures of metronome-paced tachypnea (MPT)-induced dynamic hyperinflation and its relationship with chronic obstructive pulmonary disease (COPD) severity. Materials and Methods SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) (ClinicalTrials.gov identifier no. NCT01969344) is a multicenter prospective cohort study that recruited individuals with COPD with 20 or more pack-years smoking history and controls aged 40-80 years. SPIROMICS-HF is a cross-sectional study evaluating cardiopulmonary interactions in COPD from December 2019 to April 2024. Two-dimensional coronal real-time cine pulmonary MRI (3.2 frames/sec) was performed during MPT twice. Lung masks and lung MR images from an independent study were used for transfer learning to segment real-time cine pulmonary MR images. Dynamic hyperinflation was evaluated as the increase in end-expiratory lung volume (EELV) during tidal breathing to the end of MPT. Repeatability was assessed with intraclass correlation coefficients, and multivariable associations with COPD severity were examined. Results Of the 70 participants (mean age, 67 years ± 10 [SD]; 37 male, 33 female) included in the study, 59% had COPD. The transfer learning model achieved high accuracy in lung segmentation (Dice similarity coefficient, 0.94 ± 0.03). There was good scan-rescan agreement for EELV and dynamic hyperinflation (intraclass correlation coefficient, 0.99 and 0.87, respectively). Dynamic hyperinflation was associated with COPD severity (<i>P</i> trend = .01, with a mean difference between severe COPD and controls of 0.24 L). Conclusion A transfer learning model yielded reproducible quantification of MPT-induced dynamic hyperinflation at real-time cine pulmonary MRI, with greater dynamic hyperinflation in participants with more severe COPD. <b>Keywords:</b> Chronic Obstructive Pulmonary Disease, MR Imaging, Pulmonary, Lung, Technology Assessment <i>Supplemental material is available for this article.</i> ClinicalTrials.gov identifier: NCT01969344 © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 1","pages":"e240053"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880862/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143010776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prognostic Value of Myocardial Parametric Mapping in Patients with Acute Myocarditis: A Retrospective Study. 急性心肌炎患者心肌参数定位的预后价值:一项回顾性研究。
IF 3.8
Radiology. Cardiothoracic imaging Pub Date : 2025-02-01 DOI: 10.1148/ryct.240125
Yining Wang, Xuejing Duan, Leyi Zhu, Jing Xu, Di Zhou, Wenjing Yang, Mengdi Jiang, Huaying Zhang, Arlene Sirajuddin, Andrew E Arai, Shihua Zhao, Hongyue Wang, Minjie Lu
{"title":"Prognostic Value of Myocardial Parametric Mapping in Patients with Acute Myocarditis: A Retrospective Study.","authors":"Yining Wang, Xuejing Duan, Leyi Zhu, Jing Xu, Di Zhou, Wenjing Yang, Mengdi Jiang, Huaying Zhang, Arlene Sirajuddin, Andrew E Arai, Shihua Zhao, Hongyue Wang, Minjie Lu","doi":"10.1148/ryct.240125","DOIUrl":"10.1148/ryct.240125","url":null,"abstract":"<p><p>Purpose To investigate the prognostic value of T1 mapping, extracellular volume fraction (ECV), and T2 mapping in a large cohort of patients with acute myocarditis. Materials and Methods This retrospective study included patients with acute myocarditis who underwent cardiac MRI (3.0 T) between March 2016 and October 2022. Diagnosis was confirmed by diagnostic cardiac MRI criteria or endomyocardial biopsy. The primary end point was major adverse cardiovascular events (MACEs), defined as the composite of cardiac death, heart failure hospitalization, heart transplantation, sustained ventricular arrhythmia, and recurrent myocarditis. Univariable and multivariable Cox regression analyses were performed to assess the association of clinical and cardiac MRI variables with the primary end point. The prognostic value of each model was assessed using the Harrell C index. Results A total of 235 patients (mean age, 32 years ± 13 [SD]; 150 [63.8%] men) were included. During a mean follow-up of 1637 days (IQR: 1441-1833 days), MACEs occurred in 45 (19%) patients. Patients with MACEs had higher global native T1, ECV, and T2 values (1342 msec ± 64 vs 1263 msec ± 48; <i>P</i> < .001; 39.1% ± 8.7 vs 32.7% ± 5.7; <i>P</i> < .001; 61.1 msec ± 10.0 vs 55.3 msec ± 9.4; <i>P</i> = .03, respectively). In a series of multivariable Cox regression models, native T1 (per 10-msec increase: hazard ratio, 1.61; 95% CI: 1.31, 1.98; <i>P</i> < .001) and ECV (per 5% increase: hazard ratio, 1.70; 95% CI: 1.38, 2.08; <i>P</i> < .001) independently predicted MACE occurrence, and the addition of native T1 (Harrell C index = 0.76) or ECV (Harrell C index = 0.79) to the model including only clinical variables, left ventricular ejection fraction, and septal late gadolinium enhancement (Harrell C index = 0.72) improved discrimination for the primary end point. Conclusion Cardiac MRI-derived native T1 and ECV were independent predictors of MACEs in patients with acute myocarditis and provided incremental prognostic value when combined with conventional parameters. <b>Keywords:</b> MRI, Cardiac, Heart, Inflammation <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 1","pages":"e240125"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880863/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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