Radiology. Cardiothoracic imaging最新文献

{"title":"A Need for Clarification Regarding Current State-of-the-Art Techniques for Characterizing Lung Parenchymal Aeration?","authors":"Filip Klimeš, Andreas Voskrebenzev, Jens Vogel-Claussen","doi":"10.1148/ryct.240350","DOIUrl":"10.1148/ryct.240350","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 6","pages":"e240350"},"PeriodicalIF":3.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683206/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813793","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":"Reliability of 4D Flow MRI for Investigation of Fetal Cardiovascular Hemodynamics in the Third Trimester.","authors":"Erin K Englund, Takashi Fujiwara, Sarah A Smith, Mariana L Meyers, Richard M Friesen, Lorna P Browne, Alex J Barker","doi":"10.1148/ryct.240119","DOIUrl":"10.1148/ryct.240119","url":null,"abstract":"<p><p>Purpose To provide reference values for four-dimensional (4D) flow MRI in healthy fetuses and evaluate reliability of fetal 4D flow MRI hemodynamics in third trimester fetuses with normal cardiovascular development or suspected coarctation of the aorta (CoA). Materials and Methods Pregnant patients with healthy fetuses or fetuses with echocardiographic concern for CoA were prospectively recruited between May 2021 and October 2023. Doppler US-gated fetal 4D flow MRI was performed at 3 T. Repeated 4D flow (time permitting) and two-dimensional (2D) phase contrast (PC) MRI data were acquired. Net flow was quantified, and the reliability of 4D flow measurement was evaluated by using precision across adjacent measurement planes, internal consistency based on conservation of mass, comparison of net flow from 4D flow MRI versus 2D PC MRI, and repeatability of 4D flow from separate acquisitions. Results Data were obtained in 34 pregnant participants (mean maternal age, 33 years ± 5 [SD]; mean gestational age, 35 weeks ± 2; <i>n</i> = 22 healthy fetuses and 12 fetuses with suspected CoA). Precision was high across all vascular segments (mean within-subject coefficient of variation = 7%). For mass conservation, there was an average difference of 19% ± 12 between ductus arteriosus plus isthmus flow versus descending aorta flow (<i>r</i> = 0.76). Net flow measured with 4D flow MRI correlated with that measured with 2D PC MRI (<i>r</i> = 0.51) but was underestimated relative to 2D PC MRI by approximately 34%. Hemodynamic parameters quantified from repeated 4D flow acquisitions had good agreement, with an intraclass correlation coefficient of 0.94 between test and retest data. Conclusion Hemodynamic measurements derived from fetal 4D flow MRI were reliable, showing good internal consistency, precision, and repeatability; however, as expected, 4D flow MRI underestimated absolute blood flow relative to 2D PC MRI. <b>Keywords:</b> Fetal MRI, Cardiac, Aorta, Hemodynamics/Flow Dynamics, Pulmonary Arteries <i>Supplemental material is available for this article.</i> © RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 6","pages":"e240119"},"PeriodicalIF":3.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142785701","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":"Diagnostic Performance of AI-enabled Plaque Quantification from Coronary CT Angiography Compared with Intravascular Ultrasound.","authors":"Abdul Rahman Ihdayhid, Georgios Tzimas, Kersten Peterson, Nicholas Ng, Saba Mirza, Akiko Maehara, Robert D Safian","doi":"10.1148/ryct.230312","DOIUrl":"10.1148/ryct.230312","url":null,"abstract":"<p><p>Purpose To assess the diagnostic performance of a coronary CT angiography (CCTA) artificial intelligence (AI)-enabled tool (AI-QCPA; HeartFlow) to quantify plaque volume, as compared with intravascular US (IVUS). Materials and Methods A retrospective subanalysis of a single-center prospective registry study was conducted in participants with ST-elevation myocardial infarction treated with primary percutaneous coronary intervention of the culprit vessel. Participants with greater than 50% stenosis in nonculprit vessels underwent CCTA, invasive coronary angiography, and IVUS of nonculprit lesion(s) between 2 and 40 days after primary percutaneous coronary intervention. Comparisons of plaque volumes obtained using AI-QCPA (HeartFlow) and IVUS were assessed using Spearman rank correlation (ρ) and Bland-Altman analysis. Results Thirty-three participants (mean age, 59.1 years ± 8.8 [SD]; 27 [82%] male and six [18%] female participants) and 67 vessels were included for analysis. There was strong agreement between AI-QCPA and IVUS in vessel (ρ = 0.94) and lumen volumes (ρ = 0.97). High agreement between AI-QCPA and IVUS was also found for total plaque volume (ρ = 0.92), noncalcified plaque (ρ = 0.91), and calcified plaque (ρ = 0.87). Bland-Altman analysis demonstrated AI-QCPA underestimated total plaque volume (-9.4 mm³) and calcified plaque (-11.4 mm³) and overestimated for noncalcified plaque (2.0 mm³) when compared with IVUS. Conclusion An AI-enabled automated plaque quantification tool for CCTA had high agreement with IVUS for quantifying plaque volume and characterizing plaque. <b>Keywords:</b> Coronary Plaque, Intravascular US, Coronary CT Angiography, Artificial Intelligence <i>Supplemental material is available for this article.</i> ClinicalTrials.gov registration no. NCT02926755 © RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 6","pages":"e230312"},"PeriodicalIF":3.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683154/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142627166","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":"Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning.","authors":"Amanda N Lee, Albert Hsiao, Kyle A Hasenstab","doi":"10.1148/ryct.240005","DOIUrl":"10.1148/ryct.240005","url":null,"abstract":"<p><p>Purpose To measure the benefit of single-phase CT, inspiratory-expiratory CT, and clinical data for convolutional neural network (CNN)-based chronic obstructive pulmonary disease (COPD) staging. Materials and Methods This retrospective study included inspiratory and expiratory lung CT images and spirometry measurements acquired between November 2007 and April 2011 from 8893 participants (mean age, 59.6 years ± 9.0 [SD]; 53.3% [4738 of 8893] male) in the COPDGene phase I cohort (ClinicalTrials.gov: NCT00608764). CNNs were trained to predict spirometry measurements (forced expiratory volume in 1 second [FEV₁], FEV₁ percent predicted, and ratio of FEV₁ to forced vital capacity [FEV₁/FVC]) using clinical data and either single-phase or multiphase CT. Spirometry predictions were then used to predict Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage. Agreement between CNN-predicted and reference standard spirometry measurements and GOLD stage was assessed using intraclass correlation coefficient (ICC) and compared using bootstrapping. Accuracy for predicting GOLD stage, within-one GOLD stage, and GOLD 0 versus 1-4 was calculated. Results CNN-predicted and reference standard spirometry measurements showed moderate to good agreement (ICC, 0.66-0.79), which improved by inclusion of clinical data (ICC, 0.70-0.85; <i>P</i> ≤ .04), except for FEV₁/FVC in the inspiratory-phase CNN model with clinical data (<i>P</i> = .35) and FEV₁ in the expiratory-phase CNN model with clinical data (<i>P</i> = .33). Single-phase CNN accuracies for GOLD stage, within-one stage, and diagnosis ranged from 59.8% to 84.1% (682-959 of 1140), with moderate to good agreement (ICC, 0.68-0.70). Accuracies of CNN models using inspiratory and expiratory images ranged from 60.0% to 86.3% (684-984 of 1140), with moderate to good agreement (ICC, 0.72). Inclusion of clinical data improved agreement and accuracy for both the single-phase CNNs (ICC, 0.72; <i>P</i> ≤ .001; accuracy, 65.2%-85.8% [743-978 of 1140]) and inspiratory-expiratory CNNs (ICC, 0.77-0.78; <i>P</i> ≤ .001; accuracy, 67.6%-88.0% [771-1003 of 1140]), except expiratory CNN with clinical data (no change in GOLD stage ICC; <i>P</i> = .08). Conclusion CNN-based COPD diagnosis and staging using single-phase CT provides comparable accuracy with inspiratory-expiratory CT when provided clinical data relevant to staging. <b>Keywords:</b> Convolutional Neural Network, Chronic Obstructive Pulmonary Disease, CT, Severity Staging, Attention Map <i>Supplemental material is available for this article.</i> © RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 6","pages":"e240005"},"PeriodicalIF":3.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683208/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813733","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":"Prediction of Major Adverse Coronary Events Using the Coronary Risk Score in Women.","authors":"Guillermo Romero-Farina, Santiago Aguadé-Bruix, Ignacio Ferreira-González","doi":"10.1148/ryct.230381","DOIUrl":"10.1148/ryct.230381","url":null,"abstract":"<p><p>Purpose To establish a COronary Risk Score in WOmen (CORSWO) to predict major adverse coronary events (MACE). Materials and Methods This retrospective analysis included 2226 female individuals (mean age, 66.7 years ± 11.6 [SD]) from a cohort of 25 943 consecutive patients referred for clinical gated SPECT myocardial perfusion imaging (gSPECT MPI). During the follow-up (mean, 4 years ± 2.7) after gSPECT MPI, occurrence of MACE (unstable angina requiring hospitalization, nonfatal myocardial infarction, coronary revascularization, cardiac death) was assessed. The patients were divided into training (<i>n</i> = 1460) and validation (<i>n</i> = 766) groups. To obtain the predictor model, multiple Cox regression analyses were performed. Results In the training group, 148 female individuals had MACE (2.6% per year). The best model (area under the receiver operating characteristic curve [AUC]: 0.80 [95% CI: 0.74, 0.83]; Brier score: 0.08) to predict MACE in female individuals included the following variables: age older than 69 years (hazard ratio [HR]: 1.58, <i>P</i> = .01), diabetes mellitus (HR: 1.47, <i>P</i> = .03), pharmacologic test (HR: 1.63, <i>P</i> = .01), ST-segment depression (≥1 mm) (HR: 2.02, <i>P</i> < .001), myocardial ischemia greater than 5% (HR: 2.21, <i>P</i> < .001), perfusion defect at rest greater than 9% (HR: 1.96, <i>P</i> = .009), perfusion defect at stress greater than 6% (HR: 1.63, <i>P</i> = .03), and end-systolic volume index greater than 15 mL (HR: 2.04, <i>P</i> < .001). During validation, the model achieved moderate performance (AUC: 0.78 [95% CI: 0.70, 0.83]). CORSWO obtained from these variables allowed for stratification of female individuals into four risk levels: low (score: 0-3, HR: 1), moderate (score: 4-6, HR: 1.58), high (score: 7-11, HR: 4.13), and very high (score: >11, HR: 13.87). The high and very high risk levels (HR: 5.29) predicted MACE in female individuals, with excellent performance (AUC: 0.78 [95% CI: 0.72, 0.80]). Conclusion With clinical, stress test, and gSPECT MPI variables, CORSWO effectively stratified female individuals according to coronary risk and was able to detect those with high and very high risk. <b>Keywords:</b> SPECT, Cardiac, Coronary Arteries, Women, Risk Stratification, Cardiac Event, CORSWO, MACE, Gated SPECT <i>Supplemental material is available for this article.</i> ©RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 6","pages":"e230381"},"PeriodicalIF":3.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683203/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142785542","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":"Accurate Intramyocardial Hemorrhage Assessment with Fast, Free-running, Cardiac Quantitative Susceptibility Mapping.","authors":"Yuheng Huang, Xingmin Guan, Xinheng Zhang, Ghazal Yoosefian, Hao Ho, Li-Ting Huang, Hsin-Yao Lin, Gregory Anthony, Hsu-Lei Lee, Xiaoming Bi, Fei Han, Shing Fai Chan, Keyur P Vora, Behzad Sharif, Dhirendra P Singh, Khalid Youssef, Debiao Li, Hui Han, Anthony G Christodoulou, Rohan Dharmakumar, Hsin-Jung Yang","doi":"10.1148/ryct.230376","DOIUrl":"10.1148/ryct.230376","url":null,"abstract":"<p><p>Purpose To evaluate the performance of a high-dynamic-range quantitative susceptibility mapping (HDR-QSM) cardiac MRI technique to detect intramyocardial hemorrhage (IMH) and quantify iron content using phantom and canine models. Materials and Methods A free-running whole-heart HDR-QSM technique for IMH assessment was developed and evaluated in calibrated iron phantoms and 14 IMH female canine models. IMH detection and iron content quantification performance of this technique was compared with the conventional iron imaging approaches, R2*(1/T2*) maps, using measurements from ex vivo imaging as the reference standard. Results Phantom studies confirmed HDR-QSM's accurate iron content quantification and artifact mitigation ability by revealing a strong linear relationship between iron concentration and QSM values (<i>R</i>², 0.98). In in vivo studies, HDR-QSM showed significantly improved image quality and susceptibility homogeneity in nonaffected myocardium by alleviating motion and off-resonance artifacts (HDR-QSM vs R2*: coefficient of variation, 0.31 ± 0.16 [SD] vs 0.73 ± 0.36 [<i>P</i> < .001]; image quality score [five-point Likert scale:], 3.58 ± 0.75 vs 2.87 ± 0.51 [<i>P</i> < .001]). Comparison between in vivo susceptibility maps and ex vivo measurements showed higher performance of HDR-QSM compared with R2* mapping for IMH detection (area under the receiver operating characteristic curve, 0.96 vs 0.75; <i>P</i> < .001) and iron content quantification (<i>R</i>², 0.71 vs 0.14). Conclusion In a canine model of IMH, the fast and free-running cardiac QSM technique accurately detected IMH and quantified intramyocardial iron content of the entire heart within 5 minutes without requiring breath holding. <b>Keywords:</b> High-Dynamic-Range Quantitative Susceptibility Mapping, Myocardial Infarction, Intramyocardial Hemorrhage, MRI <i>Supplemental material is available for this article.</i> ©RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 6","pages":"e230376"},"PeriodicalIF":3.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683678/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813794","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":"Prevalence of Mitral Annular Disjunction at Cardiac MRI: Results from a Multicenter Registry.","authors":"Anna Palmisano, Elisa Bruno, Giovanni Donato Aquaro, Carmelo De Gori, Simone Barbieri, Margherita Adami, Dario Plataroti, Paolo Rondi, Nunzia di Meo, Marco Ravanelli, Davide Farina, Alice Rossi, Silvia Pradella, Vittorio Miele, Livia Marchitelli, Giulia Cundari, Nicola Galea, Davide Tore, Marco Gatti, Riccardo Faletti, Pierpaolo Palumbo, Ernesto Di Cesare, Tommaso D'Angelo, Ludovica R M Lanzafame, Alfredo Blandino, Serena Dell'Aversana, Andrea Ponsiglione, Raffaele Ascione, Massimo Imbriaco, Michele Porcu, Riccardo Cau, Luca Saba, Giovanni Ferrandino, Carlo Liguori, Virginia Sambuceti, Sara Seitun, Agnese Siani, Alessandro Carriero, Michele Cosenza, Luigi Lovato, Davide Vignale, Lorenzo Faggioni, Emanuele Neri, Antonio Esposito","doi":"10.1148/ryct.230428","DOIUrl":"10.1148/ryct.230428","url":null,"abstract":"<p><p>Purpose To determine the prevalence of mitral annular disjunction (MAD) in patients undergoing cardiac MRI for various clinical indications and to assess the association of MAD with arrhythmia, mitral valve prolapse (MVP), and myocardial alteration. Materials and Methods This study analyzed data from a retrospective observational registry of consecutive patients undergoing cardiac MRI for different clinical indications. Cardiac MRI examinations were performed from January 2019 to June 2019 at 13 Italian hospitals. Images underwent double reading by expert cardiac radiologists from the enrolling center and the core laboratory to assess the presence of MAD. Presence and maximum length of MAD and its association to MVP pattern, functional and structural myocardial alteration, and arrhythmia were evaluated using nonparametric and parametric tests. Logistic regression models were used to identify predictors of arrhythmia. Results Cardiac MRI studies from 2611 consecutive patients (1730, 66% male; median age, 53 years; IQR, 39-65 years) were evaluated. Prevalence of MAD was 5.44% (142 of 2611). MAD was an incidental finding in 74.6% (106 of 142) of patients. Patients with MAD had a higher prevalence of arrhythmias compared with patients without MAD (40% [57 of 142] vs 18% [444 of 2469]; <i>P</i> < .001). Patients with MAD and bileaflet MVP showed a longer MAD compared with patients with single-leaflet or absent MVP (median, 7 mm [IQR, 3-9.5 mm] vs 4 mm [IQR, 3-5 mm]; <i>P</i> < .001), a higher prevalence of systolic curling (75% [21 of 28] vs 30.7% [35 of 114]; <i>P</i> < .001), higher extracellular volume values (30% [IQR, 28%-32%] vs 27% [IQR, 25%-30%]; <i>P</i> = .04), and a higher prevalence of arrhythmia (64.2% [18 of 28] vs 34.2% [39 of 114]; <i>P</i> = .006). MAD length of at least 5 mm was an independent predictor of arrhythmia (odds ratio 3.96; 95% CI: 1.93, 8.15; <i>P</i> < .001). Conclusion MAD was a frequent incidental finding on cardiac MRI scans from a multicenter registry. MAD length of at least 5 mm and coexisting bileaflet MVP showed a higher risk of arrhythmia. <b>Keywords:</b> MR Imaging, Cardiac, Mitral Annular Disjunction <i>Supplemental material is available for this article.</i> ©RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 6","pages":"e230428"},"PeriodicalIF":3.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683205/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142854769","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":"Atypical Presentation of Tertiary Syphilis.","authors":"Paul Cholley, Julien Stievenart, Damien Fayard, Lucie Cassagnes","doi":"10.1148/ryct.230373","DOIUrl":"10.1148/ryct.230373","url":null,"abstract":"<p><p>Syphilis is a sexually transmitted infection characterized by multiple stages. Cardiovascular involvement is a manifestation of tertiary syphilis, occurring between 10 and 40 years after the primary infection. The authors present a case of atypical presentation of tertiary syphilis in a 49-year-old male patient who was admitted to the hospital with bilateral transient loss of vision. Contrast-enhanced CT imaging revealed thoracic aortitis with carotid occlusion, coronary artery stenosis, ischemic stroke, myocardial infarction, and multiple intracardiac thrombi. A postmortem autopsy revealed positive laboratory results for syphilis, which was corroborated by medical autopsy findings of syphilitic aortitis. <b>Keywords:</b> CT-Angiography, Aorta, Cardiac, Vascular, Tertiary Syphilis © RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 5","pages":"e230373"},"PeriodicalIF":3.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540289/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142506963","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":"Incremental Prognostic Value of Cardiac MRI Feature Tracking and T1 Mapping in Arrhythmogenic Right Ventricular Cardiomyopathy.","authors":"Guanyu Lu, Liqi Cao, Weitao Ye, Xiaoyu Wei, Jiajun Xie, Zhicheng Du, Xinyue Zhang, Xinyi Luo, Jiehao Ou, Qianhuan Zhang, Yang Liu, Yuelong Yang, Hui Liu","doi":"10.1148/ryct.230430","DOIUrl":"10.1148/ryct.230430","url":null,"abstract":"<p><p>Purpose To explore the role of cardiac MRI feature tracking (FT) and T1 mapping in predicting sustained ventricular arrhythmias (VA) in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) and to investigate their possible incremental value beyond ARVC risk score. Materials and Methods The retrospective study analyzed 91 patients with ARVC (median age, 36 years [IQR, 27-50 years]; 60 male, 31 female) who underwent cardiac MRI examinations between November 2010 and March 2022. The primary end point was the first occurrence of sustained VA after cardiac MRI to first VA, with censoring of patients who were alive without VA at last follow-up. Cox regression analysis was performed to assess the association between variables and time to sustained VA. Time-dependent receiver operating characteristic (ROC) analysis was performed to determine the incremental value of cardiac MRI FT and T1 mapping. Results During a median follow-up of 55.0 months (IQR, 37.0-76.0 months), 36 of 91 (40%) patients experienced sustained VA. A 1% worsening in left ventricular global longitudinal peak strain (GLS), 1% worsening in right ventricular GLS, and a 1% increase in extracellular volume fraction (ECV) were associated with increased risk of sustained VA, with hazard ratios of 1.14 (95% CI: 1.06, 1.23; <i>P</i> = .001), 1.09 (95% CI: 1.02, 1.16; <i>P</i> = .02), and 1.13 (95% CI: 1.08, 1.18; <i>P</i> < .001), respectively, after adjustment for ARVC risk score. Adding both biventricular GLS and ECV to ARVC risk score showed significant incremental value for predicting sustained VA (area under the ROC curve: 0.73 vs 0.65; <i>P</i> < .001). Conclusion Cardiac MRI-derived biventricular GLS and ECV provided independent and incremental value for predicting sustained VA beyond ARVC risk score alone in patients with ARVC. <b>Keywords:</b> Cardiovascular MRI, Feature Tracking, T1 Mapping, Arrhythmogenic Right Ventricular Cardiomyopathy, Sustained Ventricular Arrhythmias <i>Supplemental material is available for this article</i> Published under a CC BY 4.0 license.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 5","pages":"e230430"},"PeriodicalIF":3.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540290/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142506965","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":"Severe Quadricuspid Pulmonary Valve Stenosis Presenting as Scrotal Edema.","authors":"Dan Liu, Zhao Li, Hongwei Zhang, Zihao Li","doi":"10.1148/ryct.240239","DOIUrl":"10.1148/ryct.240239","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"6 5","pages":"e240239"},"PeriodicalIF":3.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540286/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142294202","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}