Radiology. Cardiothoracic imaging最新文献

{"title":"Ferumoxytol-enhanced Ultrashort Echo Time MRI of Cardiovascular Stents in Patients with Congenital Heart Disease: A Feasibility Study.","authors":"Tayaba Miah, Sukran Erdem, Munes Fares, Orhan Erdem, Yousef Arar, Gerald Greil, Tarique Hussain, Qing Zou","doi":"10.1148/ryct.250189","DOIUrl":"10.1148/ryct.250189","url":null,"abstract":"<p><p>Purpose To investigate the potential of using a three-dimensional (3D) ultrashort echo time (UTE) cardiovascular MRI sequence in conjunction with ferumoxytol for imaging extracardiac vascular stents. Materials and Methods Children and young adults with extracardiac vascular stents (<i>n</i> = 30) who underwent cardiovascular MRI were recruited for this prospective study. Ferumoxytol, a T1-shortening blood pool contrast agent with purely intravascular distribution, was used to acquire 3D whole-heart images with both the clinical standard 3D balanced-steady state free precession (bSSFP) and the 3D UTE sequences. Image quality was evaluated using a three-point scale, and the apparent contrast-to-noise ratio (aCNR) was calculated. Statistical analysis was performed to determine the significance of differences in image quality scores and aCNR between the two sequences. Results The 3D UTE sequence provided significantly better image quality for stent visualization compared with the 3D bSSFP sequence, with reviewer 1 scoring it as a mean (±SD) of 2.3 ± 0.6 versus 1.3 ± 0.5 and reviewer 2 scoring it as 2.5 ± 0.6 versus 1.3 ± 0.5 (both <i>P</i> < .01). However, interreviewer agreement on image quality was low for both sequences, with κ values indicating only slight agreement. The aCNR within the stent region for the 3D UTE sequence was also significantly higher than the 3D bSSFP sequence (median, 37.1 vs 12.9; <i>P</i> < .01). Conclusion The 3D UTE sequence was effective in depicting stents and reducing stent-related artifacts compared with the clinical standard 3D bSSFP sequence. It may serve as a valuable complementary tool for imaging extracardiac vascular stents in clinical practice. <b>Keywords:</b> 3D bSSFP, 3D UTE, Cardiovascular Magnetic Resonance, Cardiovascular Stents, Ferumoxytol <i>Supplemental material is available for this article.</i> © RSNA, 2026.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"8 1","pages":"e250189"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146228379","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}

{"title":"2025 Manuscript Reviewers: A Note of Thanks.","authors":"Jeffrey S Klein, Harold Litt","doi":"10.1148/ryct.260074","DOIUrl":"https://doi.org/10.1148/ryct.260074","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"8 1","pages":"e260074"},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147290899","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}

{"title":"Isolated Left Ventricular Apical Hypoplasia.","authors":"Menglu Li, Jie Bao, Sijun Yu","doi":"10.1148/ryct.250401","DOIUrl":"https://doi.org/10.1148/ryct.250401","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"8 1","pages":"e250401"},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146086917","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}

{"title":"Early Detection of Pulmonary Congestion Using Quantitative CT and Lung US in a Porcine Model.","authors":"Kristina Miger, Andreas Fabricius-Bjerre, Anne Sophie Overgaard Olesen, Roni Nielsen, Christian Alcaraz Fredriksen, Kasper Pryds, Jens Petersen, Olav W Nielsen","doi":"10.1148/ryct.240529","DOIUrl":"10.1148/ryct.240529","url":null,"abstract":"<p><p>Purpose To assess the value of quantitative CT and lung US in detecting pulmonary congestion across successive stages in a porcine model. Materials and Methods Eleven pigs (female, 5 months old) were examined (February 2016-September 2016) every 15 minutes during the induction (steps 2-5) and treatment (steps 6-8) of pulmonary congestion. All animals were assessed with quantitative CT, lung US, an arterial pulse contour cardiac output catheter, and right heart catheterization to measure lung water content, lung attenuation and B-lines, central venous pressure, pulmonary capillary wedge pressure (PCWP), cardiac output, and global end-diastolic volume. Correlation analyses were performed, and diagnostic performance of quantitative CT and lung US for detecting pulmonary congestion was assessed using the area under the receiver operating characteristic curve (AUC). Results Nine of eleven pigs (82%) completed the full protocol. The median quantitative CT attenuation showed high correlation with PCWP, especially during the intervention stage (<i>r</i> = 0.99; <i>P</i> < .05). Compared with no congestion (step 1), milder stages (step 2) of congestion were better identified using quantitative CT (AUC, 0.92) versus US B-lines (AUC, 0.50; <i>P</i> < .001). However, the two modalities did not differ in ability to detect more-severe stages of congestion (<i>P</i>_step3 = .14; <i>P</i>_step4 = .44; <i>P</i>_step5 = .75). During recovery, quantitative CT attenuation remained different from baseline levels (<i>P</i> = .01), whereas lung US B-lines reverted to baseline levels more rapidly (<i>P</i> = .63). Conclusion Quantitative CT showed high performance for assessing pulmonary congestion in its earliest subclinical stages. US B-lines were less sensitive, first appearing in the later stages of pulmonary congestion, but were more effective for monitoring regression of pulmonary congestion. <b>Keywords:</b> Heart, Lung, Quantitative CT, Ultrasound, Hemodynamics/Flow Dynamics <i>Supplemental material is available for this article.</i> © RSNA, 2026.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"8 1","pages":"e240529"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145934774","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}

{"title":"Mesothelioma Contrast Pharmacokinetics: A Feasibility Trial of the Use of Pharmacokinetic Analysis in Small-Volume Pleural Malignancy.","authors":"Gordon W Cowell, Selina Tsim, David B Stobo, Colin Noble, Catherine A Humphreys, Rosie Woodward, John E Foster, Craig Dick, Kevin G Blyth","doi":"10.1148/ryct.250044","DOIUrl":"10.1148/ryct.250044","url":null,"abstract":"<p><p>Purpose To assess the feasibility of dynamic contrast-enhanced (DCE) MRI-derived pharmacokinetic factor acquisition and performance in patients with suspected small-volume pleural malignancy. Materials and Methods This retrospective analysis involved the use of pharmacokinetic parameter computation software for prospectively performed DCE MRI in patients with suspected pleural malignancy performed between January 2013 and October 2016. Pharmacokinetic calculation was performed using pre- and postgadobutrol three-dimensional T1-weighted sequences within a volume of interest. Systematic placement of multiple pleural regions of interest allowed computation of mean pleural volume transfer constant (<i>K</i>^trans), fractional volume (<i>V</i>_e), and rate constant (<i>k</i>_ep) per patient. Identification of malignancy involved using cut points calculated from mean <i>K</i>^trans, <i>V</i>_e, and <i>k</i>_ep values obtained from macronodular pleural disease. Pharmacokinetic diagnostic performance was assessed individually (<i>K</i>^trans, <i>V</i>_e, and <i>k</i>_ep) and in combination with morphology and early contrast enhancement (ECE). Results The study included 58 patients (median age, 76 years [IQR, 70-81 years]; 51 of 58 [88%] male). The primary end point was achieved in 47 of 58 (81%) patients, with successful calculation of pharmacokinetic metrics. A total of 29 of 47 patients (62%) were diagnosed with malignancy with minimal pleural thickening; 24 of 29 (83%) had pleural mesothelioma and 20 of 24 (83%) had stage I disease. Sensitivity (<i>K</i>^trans, 73%; <i>V</i>_e, 83%; and <i>k</i>_ep, 87%) and negative predictive value (NPV; <i>K</i>^trans, 50%; <i>V</i>_e, 60%; and <i>k</i>_ep, 25%) were calculated using single pharmacokinetic values (<i>P</i> > .05 for each). Combining pharmacokinetic thresholds with morphology and ECE improved sensitivity and NPV to 100% (<i>P</i> = .03 for each factor) but reduced specificity (16.7% for <i>K</i>^trans/<i>V</i>_e [<i>P</i> = .04]; 5.6% for <i>k</i>_ep [<i>P</i> = .002]). Conclusion Pharmacokinetic analysis was feasible in small-volume pleural malignancy. <b>Keywords:</b> MR-Dynamic Contrast-enhanced, MR Imaging, Thorax, Pleura, Oncology <i>Supplemental material is available for this article.</i> © RSNA, 2026.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"8 1","pages":"e250044"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145990564","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}

{"title":"Prognostic Value of Cardiac MRI-derived Left Atrial and Biventricular Function in Children with Repaired Tetralogy of Fallot.","authors":"Yanyan Ma, Rongzhen Ouyang, Liwei Hu, Aimin Sun, Chen Guo, Xiaofen Yao, Qin Yan, Wei Gao, Qian Wang, Yumin Zhong","doi":"10.1148/ryct.240557","DOIUrl":"10.1148/ryct.240557","url":null,"abstract":"<p><p>Purpose To evaluate whether left atrial (LA) function assessed with cardiac MRI provides incremental prognostic value beyond biventricular function in children with repaired tetralogy of Fallot (rTOF). Materials and Methods In this prospective study, pediatric participants with rTOF were consecutively recruited between August 2019 and December 2021 and healthy controls from July 2017 to August 2018. All participants underwent cardiac MRI. Measurements included LA size, ejection fraction (EF), strain, and strain rate across reservoir, conduit, and pump phases, and biventricular volumes, mass, and global longitudinal strain (GLS). Late gadolinium enhancement was assessed in rTOF. End point events were heart failure hospitalization and reoperation. Cox regression analysis was performed. Model performance was assessed using Harrell concordance index, integrated discrimination improvement, and net reclassification improvement. Results Seventy-eight participants with rTOF (mean age, 10.73 years ± 3.66 [SD]; 47 male) and 30 controls (mean age, 11.06 years ± 2.97; 21 male) were included. Compared with controls, participants with rTOF demonstrated LA dysfunction, with lower reservoir EF, strain, and strain rate, lower conduit EF and strain, and higher pump EF, while biventricular GLS remained normal. Over a median follow-up of 2 years, impaired LA conduit strain (<15.83%), impaired right ventricular (RV) GLS (<22.66%), and higher end-systolic volume index were independently associated with end point events (hazard ratio = 4.72, 2.75, and 1.02, respectively). Adding impaired LA conduit strain into the RV GLS model increased the concordance index from 0.74 to 0.82 (<i>P</i> < .001) with an integrated discrimination improvement of 0.13 (<i>P</i> = .006) and net reclassification improvement of 0.89 (<i>P</i> < .001). Conclusion In pediatric rTOF with preserved ventricular EF and GLS, LA dysfunction at cardiac MRI was evident. Incorporating LA conduit strain alongside established RV functional parameters improved prognostic assessment during follow-up. <b>Keywords:</b> Pediatrics, MR Imaging, Cardiac, Left Atrium, Right Ventricle, Congenital, Outcomes Analysis, Cardiac MRI, Congenital Heart Disease, Tetralogy of Fallot, Left Atrial Function <i>Supplemental material is available for this article.</i> © RSNA, 2026.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"8 1","pages":"e240557"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146228337","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}

{"title":"Rapid Visualization of Valves and Myocardium Using Volume Rendering of 3D Cardiac MRI, 4D Cine, and 4D Flow Images.","authors":"Julia Iacovella, Danish Vaiyani, Sehdev Pressley, Andras Lasso, Analise M Sulentic, Alana R Cianciulli, Ashley Koluda, Matthew Daemer, Mark A Fogel, Kevin K Whitehead, Matthew A Jolley","doi":"10.1148/ryct.250129","DOIUrl":"10.1148/ryct.250129","url":null,"abstract":"<p><p>Purpose To develop a volume rendering method to visualize myocardial structures and blood flow using three-dimensional (3D), four-dimensional (4D) cine, and 4D flow cardiac MRI. Materials and Methods In this retrospective study, custom transfer functions for volume rendering and novel dense streamline-based 4D flow visualizations were developed and implemented in 3D Slicer, an open-source image computing platform. These techniques were applied to the cardiac MRI studies (April 2023 to January 2025) of four pediatric patients with congenital heart disease to inform comprehension of complex anatomy and to guide surgical repair. Results Applications are demonstrated in four patients (mean age, 4.5 years ± 1.1 [SD]; three female, one male), including integration into interventional planning workflows. Cardiac MRI enabled rapid and dynamic 3D and 4D visualization of the myocardium and valves in less than 1 second, with image refinement completed in less than 3 minutes. The integration of tissue rendering with 4D flow visualization allowed the simultaneous depiction of valve dynamics, regurgitation, and stenosis. Conclusion Volume rendering of the myocardium and cardiac valves in MRI studies enables rapid, dynamic visualization and can be feasibly applied in clinical settings. Integration with 4D flow visualization may improve the understanding of valve dysfunction and support procedural planning. <b>Keywords:</b> Pediatrics, MR Imaging, Heart, Valves <i>Supplemental material is available for this article.</i> © RSNA, 2026.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"8 1","pages":"e250129"},"PeriodicalIF":4.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949417/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146166444","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}

{"title":"Arterial Spin Labeling MRI for Noninvasive Monitoring of Treatment Response in Acute Pulmonary Embolism.","authors":"Cecilia Liang, Max Munz, Petros Martirosian, Yasmin Komma, Brigitte Gückel, Rolf Pohmann, Jessica Henes, Konstantin Nikolaou, Meinrad Gawaz, Dominik Rath, Ferdinand Seith","doi":"10.1148/ryct.240427","DOIUrl":"10.1148/ryct.240427","url":null,"abstract":"<p><p>Purpose To evaluate perfusion imaging with arterial spin labeling (ASL) MRI for monitoring the effects of antithrombotic therapy in participants with pulmonary embolism (PE). Materials and Methods Between November 2020 and December 2022, participants with suspected PE were enrolled in this prospective study and underwent lung perfusion imaging using electrocardiographically triggered pseudocontinuous ASL MRI with balanced steady-state free precession image acquisition at 1.5 T. Of these, participants with confirmed PE underwent follow-up ASL MRI after a median of 174 days after treatment. In participants with PE, perfusion defects were assessed lobe-wise using a five-point scale: grade I, 0%; grade II, 25% or less; grade III, 26%-50%; grade IV, 51%-75%; and grade V, more than 75%. Lung parenchyma was segmented using a Gaussian mixture model, and perfusion was quantified through histogram analysis. Association between clinical parameters and MRI results was also assessed. Results A total of 107 participants were enrolled; 15 participants (median age, 55 years [IQR, 39.5-72.5 years]; eight female) with confirmed PE underwent follow-up ASL MRI. A matched cohort of 15 participants without PE and 10 healthy volunteers also underwent ASL MRI. Perfusion defects were observed in all included participants with PE, affecting 59 lobes: grade II, five lobes; grade III, 10 lobes; grade IV, 17 lobes, and grade V, 27 lobes. On follow-up, defects persisted in eight participants, involving 25 lobes: grade II, seven lobes; grade III, eight lobes; grade IV, six lobes, and grade V, four lobes (<i>P</i> = .002). Lung perfusion significantly improved after treatment in all participants (mean increase, 52%; <i>P</i> < .001). There was no evidence of a difference in perfusion values after treatment from those of participants without PE or healthy controls. The presence of residual perfusion defects was significantly associated with persistent dyspnea (<i>P</i> = .008). Conclusion ASL MRI could detect changes in lung perfusion after antithrombotic therapy in participants with PE. <b>Keywords:</b> MR Perfusion, MRI, Thrombolysis, Pulmonary, Lung, Embolism, Thrombosis German Clinical Trials Register (DRKS00023599) <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 6","pages":"e240427"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145565012","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}

{"title":"Comparison of Human-in-the-Loop Neural Network and Manual Methods for Aortic Diameter Measurement at CT Angiography.","authors":"Prabhvir S Marway, Carlos Alberto Campello Jorge, Timothy Baker, Nicasius Tjahjadi, Gregory Spahlinger, Nicholas S Burris","doi":"10.1148/ryct.240490","DOIUrl":"10.1148/ryct.240490","url":null,"abstract":"<p><p>Purpose To compare the performance of a convolutional neural network (U-Net) with human-in-the-loop (HITL) validation against manual clinical measurements of thoracic aortic diameter at CT angiography. Materials and Methods This retrospective analysis included patients with thoracic aortic dilatation and at least two CT angiographic examinations between January 2006 and April 2023. Manual diameters were measured by technicians trained in the three-dimensional method. A multitask U-Net performed aortic segmentation, landmark localization, and automated aortic diameter measurements, followed by HITL validation. Discrepancies in diameter greater than 5 mm underwent expert remeasurement. Mid ascending aortic growth from U-Net and manual measurements were compared against a diameter-independent three-dimensional method (vascular deformation mapping). Agreement was assessed using Bland-Altman analysis and intraclass correlation coefficients. Results This study included 177 patients (101 [57%] male patients; median age, 64 years [IQR, 57-71]). Among 2028 paired measurements, 1955 (96%) passed the HITL validation. Validation reduced the 95% limits of agreement from -4.2 to 4.3 mm to -2.9 to 3.4 mm and reduced large discrepancies by 61% (from 61 to 23 measurements; <i>P</i> < .01). Expert remeasurements of discrepancies showed lower mean difference ± SD compared with U-Net measurements (2.2 mm ± 1.7 vs 7.0 mm ± 2.9; <i>P</i> < .01). U-Net measurements were more likely to yield negative growth values than manual measurements (odds ratio, 0.56; 95% CI: 0.44, 0.70; <i>P</i> < .01). Compared with vascular deformation mapping-derived growth, U-Net measurement showed stronger agreement than manual measurement (intraclass correlation coefficient, 0.74 [95% CI: 0.62, 0.80] vs 0.40 [95% CI: 0.18, 0.56]; <i>P</i> < .01). Conclusion Automated U-Net measurements of thoracic aorta diameters, when validated with an HITL approach, demonstrated stronger agreement with reference standard assessment than manual clinical measurements. <b>Keywords:</b> Aorta, Neural Networks, Vascular, CT Angiography, Segmentation, Thoracic Aortic Diameter <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 6","pages":"e240490"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12728511/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145452753","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}

{"title":"Top 2025 Images in Cardiothoracic Imaging.","authors":"Lingyi Wen, Gaurav S Gulsin, Shady Abohashem, Samer Alabed, Kate Hanneman, Domenico Mastrodicasa","doi":"10.1148/ryct.250444","DOIUrl":"https://doi.org/10.1148/ryct.250444","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 6","pages":"e250444"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145669653","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}