Radiology. Cardiothoracic imaging最新文献

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Anomalous Single Pulmonary Venous Trunk. 异常单肺静脉主干
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.230261
Zhidong Yuan, Xuehan Hu, Guanxun Cheng
{"title":"Anomalous Single Pulmonary Venous Trunk.","authors":"Zhidong Yuan, Xuehan Hu, Guanxun Cheng","doi":"10.1148/ryct.230261","DOIUrl":"10.1148/ryct.230261","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10915577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139088166","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
Evaluation of Intracardiac Pressures Using Subharmonic-aided Pressure Estimation with Sonazoid Microbubbles. 利用 Sonazoid 微气泡的次谐波辅助压力估算评估心内压
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.230153
Cara Esposito, Priscilla Machado, Maureen E McDonald, Michael P Savage, David Fischman, Praveen Mehrotra, Ira S Cohen, Nicholas Ruggiero, Paul Walinsky, Alec Vishnevsky, Kristopher Dickie, Marguerite Davis, Flemming Forsberg, Jaydev K Dave
{"title":"Evaluation of Intracardiac Pressures Using Subharmonic-aided Pressure Estimation with Sonazoid Microbubbles.","authors":"Cara Esposito, Priscilla Machado, Maureen E McDonald, Michael P Savage, David Fischman, Praveen Mehrotra, Ira S Cohen, Nicholas Ruggiero, Paul Walinsky, Alec Vishnevsky, Kristopher Dickie, Marguerite Davis, Flemming Forsberg, Jaydev K Dave","doi":"10.1148/ryct.230153","DOIUrl":"10.1148/ryct.230153","url":null,"abstract":"<p><p>Purpose To investigate if the right ventricular (RV) systolic and left ventricular (LV) diastolic pressures can be obtained noninvasively using the subharmonic-aided pressure estimation (SHAPE) technique with Sonazoid microbubbles. Materials and Methods Individuals scheduled for a left and/or right heart catheterization were prospectively enrolled in this institutional review board-approved clinical trial from 2017 to 2020. A standard-of-care catheterization procedure was performed by advancing fluid-filled pressure catheters into the LV and aorta (<i>n</i> = 25) or RV (<i>n</i> = 22), and solid-state high-fidelity pressure catheters into the LV and aorta in a subset of participants (<i>n</i> = 18). Study participants received an infusion of Sonazoid microbubbles (GE HealthCare), and SHAPE data were acquired using a validated interface developed on a SonixTablet (BK Medical) US scanner, synchronously with the pressure catheter data. A conversion factor, derived using cuff-based pressure measurements with a SphygmoCor XCEL PWA (ATCOR) and subharmonic signal from the aorta, was used to convert the subharmonic signal into pressure values. Errors between the pressure measurements obtained using the SHAPE technique and pressure catheter were compared. Results The mean errors in pressure measurements obtained with the SHAPE technique relative to those of the fluid-filled pressure catheter were 1.6 mm Hg ± 1.5 [SD] (<i>P</i> = .85), 8.4 mm Hg ± 6.2 (<i>P</i> = .04), and 7.4 mm Hg ± 5.7 (<i>P</i> = .09) for RV systolic, LV minimum diastolic, and LV end-diastolic pressures, respectively. Relative to the measurements with the solid-state high-fidelity pressure catheter, the mean errors in LV minimum diastolic and LV end-diastolic pressures were 7.2 mm Hg ± 4.5 and 6.8 mm Hg ± 3.3 (<i>P</i> ≥ .44), respectively. Conclusion These results indicate that SHAPE with Sonazoid may have the potential to provide clinically relevant RV systolic and LV diastolic pressures. <b>Keywords:</b> Ultrasound-Contrast, Cardiac, Aorta, Left Ventricle, Right Ventricle ClinicalTrials.gov registration no.: NCT03245255 © RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10912883/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139736033","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
Radiomics from Cardiovascular MR Cine Images for Identifying Patients with Hypertrophic Cardiomyopathy at High Risk for Heart Failure. 从心血管磁共振视频图像中提取放射组学信息,用于识别心衰高风险肥厚型心肌病患者。
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.230323
Hongbo Zhang, Lei Zhao, Haoru Wang, Yuhan Yi, Keyao Hui, Chen Zhang, Xiaohai Ma
{"title":"Radiomics from Cardiovascular MR Cine Images for Identifying Patients with Hypertrophic Cardiomyopathy at High Risk for Heart Failure.","authors":"Hongbo Zhang, Lei Zhao, Haoru Wang, Yuhan Yi, Keyao Hui, Chen Zhang, Xiaohai Ma","doi":"10.1148/ryct.230323","DOIUrl":"10.1148/ryct.230323","url":null,"abstract":"<p><p>Purpose To develop a model integrating radiomics features from cardiac MR cine images with clinical and standard cardiac MRI predictors to identify patients with hypertrophic cardiomyopathy (HCM) at high risk for heart failure (HF). Materials and Methods In this retrospective study, 516 patients with HCM (median age, 51 years [IQR: 40-62]; 367 [71.1%] men) who underwent cardiac MRI from January 2015 to June 2021 were divided into training and validation sets (7:3 ratio). Radiomics features were extracted from cardiac cine images, and radiomics scores were calculated based on reproducible features using the least absolute shrinkage and selection operator Cox regression. Radiomics scores and clinical and standard cardiac MRI predictors that were significantly associated with HF events in univariable Cox regression analysis were incorporated into a multivariable analysis to construct a combined prediction model. Model performance was validated using time-dependent area under the receiver operating characteristic curve (AUC), and the optimal cutoff value of the combined model was determined for patient risk stratification. Results The radiomics score was the strongest predictor for HF events in both univariable (hazard ratio, 10.37; <i>P</i> < .001) and multivariable (hazard ratio, 10.25; <i>P</i> < .001) analyses. The combined model yielded the highest 1- and 3-year AUCs of 0.81 and 0.80, respectively, in the training set and 0.82 and 0.77 in the validation set. Patients stratified as high risk had more than sixfold increased risk of HF events compared with patients at low risk. Conclusion The combined model with radiomics features and clinical and standard cardiac MRI parameters accurately identified patients with HCM at high risk for HF. <b>Keywords:</b> Cardiomyopathies, Outcomes Analysis, Cardiovascular MRI, Hypertrophic Cardiomyopathy, Radiomics, Heart Failure <i>Supplemental material is available for this article</i>. © RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10912890/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139932579","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
CT Attenuation of Periaortic Adipose Tissue in Abdominal Aortic Aneurysms. 腹主动脉瘤主动脉周围脂肪组织的 CT 衰减。
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.230250
Samuel Debono, Evangelos Tzolos, Maaz B J Syed, Jennifer Nash, Alexander J Fletcher, Marc R Dweck, David E Newby, Damini Dey, Rachael O Forsythe, Michelle C Williams
{"title":"CT Attenuation of Periaortic Adipose Tissue in Abdominal Aortic Aneurysms.","authors":"Samuel Debono, Evangelos Tzolos, Maaz B J Syed, Jennifer Nash, Alexander J Fletcher, Marc R Dweck, David E Newby, Damini Dey, Rachael O Forsythe, Michelle C Williams","doi":"10.1148/ryct.230250","DOIUrl":"10.1148/ryct.230250","url":null,"abstract":"<p><p>Purpose To assess periaortic adipose tissue attenuation at CT angiography in different abdominal aortic aneurysm disease states. Materials and Methods In a retrospective observational study from January 2018 to December 2022, periaortic adipose tissue attenuation was assessed at CT angiography in patients with asymptomatic or symptomatic (including rupture) abdominal aortic aneurysms and controls without aneurysms. Adipose tissue attenuation was measured using semiautomated software in periaortic aneurysmal and nonaneurysmal segments of the abdominal aorta and in subcutaneous and visceral adipose tissue. Periaortic adipose tissue attenuation values between the three groups were assessed using Student <i>t</i> tests and Wilcoxon rank sum tests followed by a multiregression model. Results Eighty-eight individuals (median age, 70 years [IQR, 65-78]; 78 male and 10 female patients) were included: 70 patients with abdominal aortic aneurysms (40 asymptomatic and 30 symptomatic, including 24 with rupture) and 18 controls. There was no evidence of differences in the periaortic adipose tissue attenuation in the aneurysmal segment in asymptomatic patients versus controls (-81.44 HU ± 7 [SD] vs -83.27 HU ± 9; <i>P</i> = .43) and attenuation in nonaneurysmal segments between asymptomatic patients versus controls (-75.43 HU ± 8 vs -78.81 HU ± 6; <i>P</i> = .08). However, symptomatic patients demonstrated higher periaortic adipose tissue attenuation in both aneurysmal (-57.85 HU ± 7; <i>P</i> < .0001) and nonaneurysmal segments (-58.16 HU ± 8; <i>P</i> < .0001) when compared with the other two groups. Conclusion Periaortic adipose tissue CT attenuation was not increased in stable abdominal aortic aneurysm disease. There was a generalized increase in attenuation in patients with symptomatic disease, likely reflecting the systemic consequences of acute rupture. <b>Keywords:</b> Abdominal Aortic Aneurysm, Periaortic Adipose Tissue Attenuation, CT Angiography ClinicalTrials.gov registration no. NCT02229006 © RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10912871/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139703242","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
Comparison of Lung-RADS Version 1.1 and Lung-RADS Version 2022 in Classifying Airway Nodules Detected at Lung Cancer Screening CT. 比较 Lung-RADS 1.1 版和 Lung-RADS 2022 版对肺癌筛查 CT 检测到的气道结节的分类。
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.230149
Ariadne K DeSimone, Suzanne C Byrne, Mark M Hammer
{"title":"Comparison of Lung-RADS Version 1.1 and Lung-RADS Version 2022 in Classifying Airway Nodules Detected at Lung Cancer Screening CT.","authors":"Ariadne K DeSimone, Suzanne C Byrne, Mark M Hammer","doi":"10.1148/ryct.230149","DOIUrl":"10.1148/ryct.230149","url":null,"abstract":"<p><p>Purpose To compare the Lung Imaging Reporting and Data System (Lung-RADS) version 1.1 with version 2022 classification of airway nodules detected at lung cancer screening CT examinations. Materials and Methods This retrospective study included all patients who underwent a lung cancer screening CT examination in the authors' health care network between 2015 and 2021 with a reported airway or endobronchial nodule. A fellowship-trained cardiothoracic radiologist reviewed these CT images and characterized the airway nodules by size, location, multiplicity, morphology, dependent portions of airway, internal air, fluid attenuation, distal changes, outcome at follow-up, and final pathologic diagnosis, if malignant. Sensitivity and specificity of Lung-RADS version 1.1 in detecting malignant nodules were compared with those of Lung-RADS version 2022 using the McNemar test. Results A total of 174 patients were included. Of these, 163 (94%) had airway nodules that were deemed benign, while 11 (6%) had malignant nodules. Airway nodules in the trachea and mainstem bronchi were all benign, while lobar and segmental airway nodules had the highest risk for lung cancer (17.2% and 11.1%, respectively). Of the 12 subsegmental airway nodules that were obstructive, three (25%) were malignant and nine (75%) were benign. Nodules with nonobstructive morphologies, dependent portions of airway, internal air, or fluid attenuation were all benign. Only 10 of the 92 (10.9%) patients with positive Lung-RADS by clinical report had cancer. Lung-RADS version 2022 resulted in higher specificity than version 1.1 (82% vs 50%, <i>P</i> < .001), without sacrificing sensitivity (91% for both). Conclusion Compared with the previous version, Lung-RADS version 2022 reduced the number of false-positive screening CT examinations while still identifying malignant airway nodules. <b>Keywords:</b> CT, Lung, Primary Neoplasms, Pulmonary, Lung Cancer Screening, Lung-RADS, Nodule Risk, Airway Nodule, Endobronchial Nodule © RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10912868/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139651510","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
Unilateral Anomalous Pulmonary Venous Return into Coronary Sinus. 单侧异常肺静脉回流至冠状动脉窦
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.230359
Pavithra Subramanian, Sanjeev Hanumanthacharya Naganur, Arun Sharma, Manphool Singhal
{"title":"Unilateral Anomalous Pulmonary Venous Return into Coronary Sinus.","authors":"Pavithra Subramanian, Sanjeev Hanumanthacharya Naganur, Arun Sharma, Manphool Singhal","doi":"10.1148/ryct.230359","DOIUrl":"10.1148/ryct.230359","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10912887/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139703243","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
Echocardiography versus Cardiac MRI for Measurement of Left Ventricular Ejection Fraction in Individuals with Cancer and Suspected Cardiotoxicity. 超声心动图与心脏磁共振成像在测量癌症患者左心室射血分数和疑似心脏毒性方面的比较
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.230048
Muhummad Sohaib Nazir, Joseph Okafor, Theodore Murphy, Maria Sol Andres, Sivatharshini Ramalingham, Stuart D Rosen, Amedeo Chiribiri, Sven Plein, Sanjay Prasad, Raad Mohiaddin, Dudley J Pennell, A John Baksi, Rajdeep Khattar, Alexander R Lyon
{"title":"Echocardiography versus Cardiac MRI for Measurement of Left Ventricular Ejection Fraction in Individuals with Cancer and Suspected Cardiotoxicity.","authors":"Muhummad Sohaib Nazir, Joseph Okafor, Theodore Murphy, Maria Sol Andres, Sivatharshini Ramalingham, Stuart D Rosen, Amedeo Chiribiri, Sven Plein, Sanjay Prasad, Raad Mohiaddin, Dudley J Pennell, A John Baksi, Rajdeep Khattar, Alexander R Lyon","doi":"10.1148/ryct.230048","DOIUrl":"10.1148/ryct.230048","url":null,"abstract":"<p><p>Purpose To compare left ventricular ejection fraction (LVEF) measured with echocardiography and cardiac MRI in individuals with cancer and suspected cardiotoxicity and assess the potential effect on downstream clinical decision-making. Materials and Methods In this prospective, single-center observational cohort study, participants underwent same-day two-dimensional (2D) echocardiography and cardiac MRI between 2011 and 2021. Participants with suboptimal image quality were excluded. A subset of 74 participants also underwent three-dimensional (3D) echocardiography. The agreement of LVEF derived from each modality was assessed using Bland-Altman analysis and at relevant thresholds for cardiotoxicity. Results A total of 745 participants (mean age, 60 years ± 5 [SD]; 460 [61.7%] female participants) underwent same-day echocardiography and cardiac MRI. According to Bland-Altman analysis, the mean bias was -3.7% ± 7.6 (95% limits of agreement [LOA]: -18.5% to 11.1%) for 2D echocardiography versus cardiac MRI. In 74 participants who underwent cardiac MRI, 3D echocardiography, and 2D echocardiography, the mean LVEFs were 60.0% ± 10.4, 58.4% ± 9.4, and 57.2% ± 8.9, respectively (<i>P</i> < .001). At the 50% LVEF threshold for detection of cardiotoxicity, there was disagreement for 9.3% of participants with 2D echocardiography and cardiac MRI. Agreement was better with 3D echocardiography and cardiac MRI (mean bias, -1.6% ± 6.3 [95% LOA: -13.9% to 10.7%]) compared with 2D echocardiography and cardiac MRI (mean bias, -2.8% ± 6.3 [95% LOA: -15.2% to 9.6%]; <i>P</i> = .016). Conclusion Two-dimensional echocardiography had variations of ±15% for LVEF measurement compared with cardiac MRI in participants with cancer and led to misclassification of approximately 10% of participants for cardiotoxicity detection. Three-dimensional echocardiography had better agreement with cardiac MRI and should be used as first-line imaging. <b>Keywords:</b> Echocardiography, MR Functional Imaging, Cardiac <i>Supplemental material is available for this article</i>. © RSNA, 2024.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10912891/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139417906","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
Evaluation of Prognosis in Patients with Lung Adenocarcinoma with Atypical Solid Nodules on Thin-Section CT Images. 通过薄层 CT 图像评估伴有非典型实性结节的肺腺癌患者的预后。
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.220234
Mengwen Liu, Lin Yang, Xujie Sun, Xin Liang, Cong Li, Qianqian Feng, Meng Li, Li Zhang
{"title":"Evaluation of Prognosis in Patients with Lung Adenocarcinoma with Atypical Solid Nodules on Thin-Section CT Images.","authors":"Mengwen Liu, Lin Yang, Xujie Sun, Xin Liang, Cong Li, Qianqian Feng, Meng Li, Li Zhang","doi":"10.1148/ryct.220234","DOIUrl":"10.1148/ryct.220234","url":null,"abstract":"<p><p>Purpose To evaluate the clinicopathologic characteristics and prognosis of patients with clinical stage IA lung adenocarcinoma with atypical solid nodules (ASNs) on thin-section CT images. Materials and Methods Data from patients with clinical stage IA lung adenocarcinoma who underwent resection between January 2005 and December 2012 were retrospectively reviewed. According to their manifestations on thin-section CT images, nodules were classified as ASNs, subsolid nodules (SSNs), and typical solid nodules (TSNs). The clinicopathologic characteristics of the ASNs were investigated, and the differences across the three groups were analyzed. The Kaplan-Meier method and multivariable Cox analysis were used to evaluate survival differences among patients with ASNs, SSNs, and TSNs. Results Of the 254 patients (median age, 58 years [IQR, 53-66]; 152 women) evaluated, 49 had ASNs, 123 had SSNs, and 82 had TSNs. Compared with patients with SSNs, those with ASNs were more likely to have nonsmall adenocarcinoma (<i>P</i> < .001), advanced-stage adenocarcinoma (<i>P</i> = .004), nonlepidic growth adenocarcinoma (<i>P</i> < .001), and middle- or low-grade differentiation tumors (<i>P</i> < .001). Compared with patients with TSNs, those with ASNs were more likely to have no lymph node involvement (<i>P</i> = .009) and epidermal growth factor receptor mutation positivity (<i>P</i> = .018). Average disease-free survival in patients with ASNs was significantly longer than that in patients with TSNs (<i>P</i> < .001) but was not distinguishable from that in patients with SSNs (<i>P</i> = .051). Conclusion ASNs were associated with better clinical outcomes than TSNs in patients with clinical stage IA lung adenocarcinoma. <b>Keywords:</b> Adenocarcinoma, Atypical Solid Nodules, CT, Disease-free Survival, Lung, Prognosis, Pulmonary <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":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10912885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139417907","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
Erratum for: Clinical Validation of the Accuracy of Absolute Myocardial Blood Flow Quantification with Dual-Source CT Using 15O-Water PET. 勘误:使用 15O 水 PET 的双源 CT 绝对心肌血流定量准确性的临床验证。
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.249001
Masafumi Takafuji, Kakuya Kitagawa, Masaki Ishida, Yasutaka Ichikawa, Satoshi Nakamura, Shiro Nakamori, Tairo Kurita, Kaoru Dohi, Hajime Sakuma
{"title":"Erratum for: Clinical Validation of the Accuracy of Absolute Myocardial Blood Flow Quantification with Dual-Source CT Using <sup>15</sup>O-Water PET.","authors":"Masafumi Takafuji, Kakuya Kitagawa, Masaki Ishida, Yasutaka Ichikawa, Satoshi Nakamura, Shiro Nakamori, Tairo Kurita, Kaoru Dohi, Hajime Sakuma","doi":"10.1148/ryct.249001","DOIUrl":"10.1148/ryct.249001","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":7.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10912862/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139651511","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
Ultra-rapid, Free-breathing, Real-time Cardiac Cine MRI Using GRASP Amplified with View Sharing and KWIC Filtering. 利用视图共享和 KWIC 滤波的 GRASP 放大技术实现超快速、自由呼吸、实时心脏 Cine MRI。
IF 7
Radiology. Cardiothoracic imaging Pub Date : 2024-02-01 DOI: 10.1148/ryct.230107
Lexiaozi Fan, KyungPyo Hong, Bradley D Allen, Rupsa Paul, James C Carr, Sarah Zhang, Rod Passman, Joshua D Robinson, Daniel C Lee, Cynthia K Rigsby, Daniel Kim
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