Pub Date : 2024-09-23eCollection Date: 2024-07-01DOI: 10.1093/ehjimp/qyae097
Mohammad Saber Hashemi, Yasaman Farsiani, Gregg S Pressman, M Reza Amini, Arash Kheradvar
Aims: Accurate cardiac chamber quantification is essential for clinical decisions and ideally should be consistent across different echocardiography systems. This study evaluates variations between the Philips EPIQ CVx (version 9.0.3) and Canon Aplio i900 (version 7.0) in measuring cardiac volumes, ventricular function, and valve structures.
Methods and results: In this gender-balanced, single-centre study, 40 healthy volunteers (20 females and 20 males) aged 40 years and older (mean age 56.75 ± 11.57 years) were scanned alternately with both systems by the same sonographer using identical settings for both 2D and 4D acquisitions. We compared left ventricular (LV) and right ventricular (RV) volumes using paired t-tests, with significance set at P < 0.05. Correlation and Bland-Altman plots were used for quantities showing significant differences. Two board-certified cardiologists evaluated valve anatomy for each platform. The results showed no significant differences in LV end-systolic volume and LV ejection fraction between platforms. However, LV end-diastolic volume (LVEDV) differed significantly (biplane: P = 0.018; 4D: P = 0.028). Right ventricular (RV) measurements in 4D showed no significant differences, but there were notable disparities in 2D and 4D volumes within each platform (P < 0.01). Significant differences were also found in the LV systolic dyssynchrony index (P = 0.03), LV longitudinal strain (P = 0.04), LV twist (P = 0.004), and LV torsion (P = 0.005). Valve structure assessments varied, with more abnormalities noted on the Philips platform.
Conclusion: Although LV and RV volumetric measurements are generally comparable, significant differences in LVEDV, LV strain metrics, and 2D vs. 4D measurements exist. These variations should be considered when using different platforms for patient follow-ups.
{"title":"Effect of cross-platform variations on transthoracic echocardiography measurements and clinical diagnosis.","authors":"Mohammad Saber Hashemi, Yasaman Farsiani, Gregg S Pressman, M Reza Amini, Arash Kheradvar","doi":"10.1093/ehjimp/qyae097","DOIUrl":"10.1093/ehjimp/qyae097","url":null,"abstract":"<p><strong>Aims: </strong>Accurate cardiac chamber quantification is essential for clinical decisions and ideally should be consistent across different echocardiography systems. This study evaluates variations between the Philips EPIQ CVx (version 9.0.3) and Canon Aplio i900 (version 7.0) in measuring cardiac volumes, ventricular function, and valve structures.</p><p><strong>Methods and results: </strong>In this gender-balanced, single-centre study, 40 healthy volunteers (20 females and 20 males) aged 40 years and older (mean age 56.75 ± 11.57 years) were scanned alternately with both systems by the same sonographer using identical settings for both 2D and 4D acquisitions. We compared left ventricular (LV) and right ventricular (RV) volumes using paired <i>t</i>-tests, with significance set at <i>P</i> < 0.05. Correlation and Bland-Altman plots were used for quantities showing significant differences. Two board-certified cardiologists evaluated valve anatomy for each platform. The results showed no significant differences in LV end-systolic volume and LV ejection fraction between platforms. However, LV end-diastolic volume (LVEDV) differed significantly (biplane: <i>P</i> = 0.018; 4D: <i>P</i> = 0.028). Right ventricular (RV) measurements in 4D showed no significant differences, but there were notable disparities in 2D and 4D volumes within each platform (<i>P</i> < 0.01). Significant differences were also found in the LV systolic dyssynchrony index (<i>P</i> = 0.03), LV longitudinal strain (<i>P</i> = 0.04), LV twist (<i>P</i> = 0.004), and LV torsion (<i>P</i> = 0.005). Valve structure assessments varied, with more abnormalities noted on the Philips platform.</p><p><strong>Conclusion: </strong>Although LV and RV volumetric measurements are generally comparable, significant differences in LVEDV, LV strain metrics, and 2D vs. 4D measurements exist. These variations should be considered when using different platforms for patient follow-ups.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11465166/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402582","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}
Pub Date : 2024-09-16eCollection Date: 2024-07-01DOI: 10.1093/ehjimp/qyae094
Sucharitha Chadalavada, Elisa Rauseo, Ahmed Salih, Hafiz Naderi, Mohammed Khanji, Jose D Vargas, Aaron M Lee, Alborz Amir-Kalili, Lisette Lockhart, Ben Graham, Mihaela Chirvasa, Kenneth Fung, Jose Paiva, Mihir M Sanghvi, Gregory G Slabaugh, Magnus T Jensen, Nay Aung, Steffen E Petersen
Aims: Automated algorithms are regularly used to analyse cardiac magnetic resonance (CMR) images. Validating data output reliability from this method is crucial for enabling widespread adoption. We outline a visual quality control (VQC) process for image analysis using automated batch processing. We assess the performance of automated analysis and the reliability of replacing visual checks with statistical outlier (SO) removal approach in UK Biobank CMR scans.
Methods and results: We included 1987 CMR scans from the UK Biobank COVID-19 imaging study. We used batch processing software (Circle Cardiovascular Imaging Inc.-CVI42) to automatically extract chamber volumetric data, strain, native T1, and aortic flow data. The automated analysis outputs (∼62 000 videos and 2000 images) were visually checked by six experienced clinicians using a standardized approach and a custom-built R Shiny app. Inter-observer variability was assessed. Data from scans passing VQC were compared with a SO removal QC method in a subset of healthy individuals (n = 1069). Automated segmentation was highly rated, with over 95% of scans passing VQC. Overall inter-observer agreement was very good (Gwet's AC2 0.91; 95% confidence interval 0.84, 0.94). No difference in overall data derived from VQC or SO removal in healthy individuals was observed.
Conclusion: Automated image analysis using CVI42 prototypes for UK Biobank CMR scans demonstrated high quality. Larger UK Biobank data sets analysed using these automated algorithms do not require in-depth VQC. SO removal is sufficient as a QC measure, with operator discretion for visual checks based on population or research objectives.
{"title":"Quality control of cardiac magnetic resonance imaging segmentation, feature tracking, aortic flow, and native T1 analysis using automated batch processing in the UK Biobank study.","authors":"Sucharitha Chadalavada, Elisa Rauseo, Ahmed Salih, Hafiz Naderi, Mohammed Khanji, Jose D Vargas, Aaron M Lee, Alborz Amir-Kalili, Lisette Lockhart, Ben Graham, Mihaela Chirvasa, Kenneth Fung, Jose Paiva, Mihir M Sanghvi, Gregory G Slabaugh, Magnus T Jensen, Nay Aung, Steffen E Petersen","doi":"10.1093/ehjimp/qyae094","DOIUrl":"10.1093/ehjimp/qyae094","url":null,"abstract":"<p><strong>Aims: </strong>Automated algorithms are regularly used to analyse cardiac magnetic resonance (CMR) images. Validating data output reliability from this method is crucial for enabling widespread adoption. We outline a visual quality control (VQC) process for image analysis using automated batch processing. We assess the performance of automated analysis and the reliability of replacing visual checks with statistical outlier (SO) removal approach in UK Biobank CMR scans.</p><p><strong>Methods and results: </strong>We included 1987 CMR scans from the UK Biobank COVID-19 imaging study. We used batch processing software (Circle Cardiovascular Imaging Inc.-CVI42) to automatically extract chamber volumetric data, strain, native T1, and aortic flow data. The automated analysis outputs (∼62 000 videos and 2000 images) were visually checked by six experienced clinicians using a standardized approach and a custom-built R Shiny app. Inter-observer variability was assessed. Data from scans passing VQC were compared with a SO removal QC method in a subset of healthy individuals (<i>n</i> = 1069). Automated segmentation was highly rated, with over 95% of scans passing VQC. Overall inter-observer agreement was very good (Gwet's AC2 0.91; 95% confidence interval 0.84, 0.94). No difference in overall data derived from VQC or SO removal in healthy individuals was observed.</p><p><strong>Conclusion: </strong>Automated image analysis using CVI42 prototypes for UK Biobank CMR scans demonstrated high quality. Larger UK Biobank data sets analysed using these automated algorithms do not require in-depth VQC. SO removal is sufficient as a QC measure, with operator discretion for visual checks based on population or research objectives.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11462446/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396559","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}
Pub Date : 2024-09-12eCollection Date: 2024-07-01DOI: 10.1093/ehjimp/qyae093
Undine Ella Witt, Maximilian Leo Müller, Rebecca Elisabeth Beyer, Johannes Wieditz, Susanna Salem, Djawid Hashemi, Wensu Chen, Mina Cvetkovic, Anna Clara Nolden, Patrick Doeblin, Moritz Blum, Gisela Thiede, Alexander Huppertz, Henning Steen, Bjoern Andrew Remppis, Volkmar Falk, Tim Friede, Sebastian Kelle
Aims: Left ventricular global longitudinal strain (LV-GLS) shows promise as a marker to detect early heart failure (HF). This study sought to (i) establish cardiac magnetic resonance imaging (CMR)-derived LV-GLS cut-offs to differentiate healthy from HF for both acquisition-based and post-processing techniques, (ii) assess agreement, and (iii) provide a method to convert LV-GLS between both techniques.
Methods and results: A secondary analysis of a prospective study enrolling healthy subjects (n = 19) and HF patients (n = 56) was conducted. LV-GLS was measured using fast strain-encoded imaging (fSENC) and feature tracking (FT). Receiver operating characteristic (ROC) analyses were performed to derive and evaluate LV-GLS cut-offs discriminating between healthy, HF with mild deformation impairment (DI), and HF with severe DI. Linear regression and Bland-Altman analyses assessed agreement. Cut-offs discriminating between healthy and HF were identified at -19.3% and -15.1% for fSENC and FT, respectively. Cut-offs of -15.8% (fSENC) and -10.8% (FT) further distinguished mild from severe DI. No significant differences in area under ROC curve were identified between fSENC and FT. Bland-Altman analysis revealed a bias of -4.01%, 95% CI -4.42, -3.50 for FT, considering fSENC as reference. Linear regression suggested a factor of 0.76 to rescale fSENC-derived LV-GLS to FT. Using this factor on fSENC-derived cut-offs yielded rescaled FT LV-GLS cut-offs of -14.7% (healthy vs. HF) and -12% (mild vs. severe DI).
Conclusion: LV-GLS distinguishes healthy from HF with high accuracy. Each measurement technique requires distinct cut-offs, but rescaling factors facilitate conversion. An FT-based LV-GLS ≥ -15% simplifies HF detection in clinical routine.
目的:左心室整体纵向应变(LV-GLS)有望成为检测早期心力衰竭(HF)的标志物。本研究旨在:(i) 建立心脏磁共振成像(CMR)得出的 LV-GLS 临界值,以区分基于采集和后处理技术的健康和 HF;(ii) 评估一致性;(iii) 提供在两种技术之间转换 LV-GLS 的方法:对一项前瞻性研究中的健康受试者(19 人)和心房颤动患者(56 人)进行了二次分析。使用快速应变编码成像(fSENC)和特征追踪(FT)测量了左心室-GLS。通过接收者操作特征(ROC)分析,得出并评估了区分健康人、轻度变形障碍(DI)的心房颤动患者和重度变形障碍(DI)的心房颤动患者的 LV-GLS 临界值。线性回归和 Bland-Altman 分析评估了一致性。fSENC和FT区分健康和HF的临界值分别为-19.3%和-15.1%。-15.8%(fSENC)和-10.8%(FT)的临界值进一步区分了轻度和重度DI。fSENC 和 FT 的 ROC 曲线下面积无明显差异。将 fSENC 作为参考,Bland-Altman 分析显示 FT 的偏差为 -4.01%,95% CI -4.42,-3.50。线性回归结果表明,将 fSENC 导出的 LV-GLS 与 FT 进行比例调整的因子为 0.76。将这一因子用于 fSENC 导出的临界值,得到的 FT LV-GLS 临界值的重定标分别为-14.7%(健康 vs. HF)和-12%(轻度 vs. 重度 DI):结论:LV-GLS 能高度准确地区分健康与 HF。每种测量技术都需要不同的临界值,但重定向因子有助于转换。基于 FT 的 LV-GLS ≥ -15% 简化了临床常规中的心房颤动检测。
{"title":"A simplified approach to discriminate between healthy subjects and patients with heart failure using cardiac magnetic resonance myocardial deformation imaging.","authors":"Undine Ella Witt, Maximilian Leo Müller, Rebecca Elisabeth Beyer, Johannes Wieditz, Susanna Salem, Djawid Hashemi, Wensu Chen, Mina Cvetkovic, Anna Clara Nolden, Patrick Doeblin, Moritz Blum, Gisela Thiede, Alexander Huppertz, Henning Steen, Bjoern Andrew Remppis, Volkmar Falk, Tim Friede, Sebastian Kelle","doi":"10.1093/ehjimp/qyae093","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae093","url":null,"abstract":"<p><strong>Aims: </strong>Left ventricular global longitudinal strain (LV-GLS) shows promise as a marker to detect early heart failure (HF). This study sought to (i) establish cardiac magnetic resonance imaging (CMR)-derived LV-GLS cut-offs to differentiate healthy from HF for both acquisition-based and post-processing techniques, (ii) assess agreement, and (iii) provide a method to convert LV-GLS between both techniques.</p><p><strong>Methods and results: </strong>A secondary analysis of a prospective study enrolling healthy subjects (<i>n</i> = 19) and HF patients (<i>n</i> = 56) was conducted. LV-GLS was measured using fast strain-encoded imaging (fSENC) and feature tracking (FT). Receiver operating characteristic (ROC) analyses were performed to derive and evaluate LV-GLS cut-offs discriminating between healthy, HF with mild deformation impairment (DI), and HF with severe DI. Linear regression and Bland-Altman analyses assessed agreement. Cut-offs discriminating between healthy and HF were identified at -19.3% and -15.1% for fSENC and FT, respectively. Cut-offs of -15.8% (fSENC) and -10.8% (FT) further distinguished mild from severe DI. No significant differences in area under ROC curve were identified between fSENC and FT. Bland-Altman analysis revealed a bias of -4.01%, 95% CI -4.42, -3.50 for FT, considering fSENC as reference. Linear regression suggested a factor of 0.76 to rescale fSENC-derived LV-GLS to FT. Using this factor on fSENC-derived cut-offs yielded rescaled FT LV-GLS cut-offs of -14.7% (healthy vs. HF) and -12% (mild vs. severe DI).</p><p><strong>Conclusion: </strong>LV-GLS distinguishes healthy from HF with high accuracy. Each measurement technique requires distinct cut-offs, but rescaling factors facilitate conversion. An FT-based LV-GLS ≥ -15% simplifies HF detection in clinical routine.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11421468/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142335713","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}
Pub Date : 2024-08-30eCollection Date: 2024-07-01DOI: 10.1093/ehjimp/qyae091
G E Mandoli, F Landra, L Tanzi, L Martini, C Fusi, C Sciaccaluga, E E Diviggiano, M Barilli, M C Pastore, M Focardi, S Bernazzali, M Maccherini, M Cameli, M Y Henein
Aims: Myocardial work (MW) is a relatively novel non-invasive echocardiographic method with increasing fields of application. Normal reference ranges of MW indices in patients who have undergone a heart transplant (HTx) have not been determined yet. The aim of this study was to obtain the reference ranges for 2D echocardiographic indices of MW for adult HTx patients and to compare them with the results of the European Association of Cardiovascular Imaging (EACVI) Normal Reference Ranges for Echocardiography (NORRE) study.
Methods and results: All consecutive HTx patients admitted at our institution (University Hospital of Siena, Italy) between September 2019 and May 2022 who underwent endomyocardial biopsy (EMB) were considered. Patients with a history of rejection, a history of coronary artery vasculopathy, either acute cellular rejection or acute antibody-mediated rejection at EMB, and donor-specific antibodies were excluded. MW retrospectively performed for the included patients was retrieved, and the results were compared with those from the EACVI NORRE study. Out of 176 HTx patients who underwent EMB, 94 patients were excluded. The study population consisted of 82 HTx patients [68.3% male, median age 53 (46-62) years]. The median duration from HTx was 5 (2-22) months. The main MW indices such as global work efficiency (GWE, 84 ± 8%), global work index (GWI, 1447 ± 409 mmHg%), global constructive work (GCW, 2067 ± 423 mmHg%), and global wasted work [GWW, 310 (217-499) mmHg%] did not differ according to gender. Each of these indices significantly differed from those reported in the EACVI NORRE study (P-value <0.001), with lower GWI, GCW, and GWE and higher GWW values in the HTx population.
Conclusion: This study provides reference ranges for MW indices in an adult HTx population free from transplant-related complications which proved to be different from those previously reported in healthy volunteers.
{"title":"Reference values of strain-derived myocardial work indices in heart transplant patients.","authors":"G E Mandoli, F Landra, L Tanzi, L Martini, C Fusi, C Sciaccaluga, E E Diviggiano, M Barilli, M C Pastore, M Focardi, S Bernazzali, M Maccherini, M Cameli, M Y Henein","doi":"10.1093/ehjimp/qyae091","DOIUrl":"10.1093/ehjimp/qyae091","url":null,"abstract":"<p><strong>Aims: </strong>Myocardial work (MW) is a relatively novel non-invasive echocardiographic method with increasing fields of application. Normal reference ranges of MW indices in patients who have undergone a heart transplant (HTx) have not been determined yet. The aim of this study was to obtain the reference ranges for 2D echocardiographic indices of MW for adult HTx patients and to compare them with the results of the European Association of Cardiovascular Imaging (EACVI) Normal Reference Ranges for Echocardiography (NORRE) study.</p><p><strong>Methods and results: </strong>All consecutive HTx patients admitted at our institution (University Hospital of Siena, Italy) between September 2019 and May 2022 who underwent endomyocardial biopsy (EMB) were considered. Patients with a history of rejection, a history of coronary artery vasculopathy, either acute cellular rejection or acute antibody-mediated rejection at EMB, and donor-specific antibodies were excluded. MW retrospectively performed for the included patients was retrieved, and the results were compared with those from the EACVI NORRE study. Out of 176 HTx patients who underwent EMB, 94 patients were excluded. The study population consisted of 82 HTx patients [68.3% male, median age 53 (46-62) years]. The median duration from HTx was 5 (2-22) months. The main MW indices such as global work efficiency (GWE, 84 ± 8%), global work index (GWI, 1447 ± 409 mmHg%), global constructive work (GCW, 2067 ± 423 mmHg%), and global wasted work [GWW, 310 (217-499) mmHg%] did not differ according to gender. Each of these indices significantly differed from those reported in the EACVI NORRE study (<i>P</i>-value <0.001), with lower GWI, GCW, and GWE and higher GWW values in the HTx population.</p><p><strong>Conclusion: </strong>This study provides reference ranges for MW indices in an adult HTx population free from transplant-related complications which proved to be different from those previously reported in healthy volunteers.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11465170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402583","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}
Pub Date : 2024-08-29eCollection Date: 2024-07-01DOI: 10.1093/ehjimp/qyae082
Linus Ohlsson, Mårten Sandstedt, Joanna-Maria Papageorgiou, Anders Svensson, Ann Bolger, Éva Tamás, Hans Granfeldt, Tino Ebbers, Jonas Lantz
Aims: The HeartMate 3 (HM3) implantable left ventricular assist device connects the left ventricle apex to the aorta via an outflow graft. Extrinsic obstruction of the graft (eOGO) is associated with serious morbidity and mortality and recently led to a Food and Drug Administration Class 1 device recall of HM3. This study aimed to provide a better understanding of the haemodynamic impact of extrinsic stenoses.
Methods and results: Computed tomography (CT) images of two retrospectively identified patients with eOGO (29 and 36% decrease in cross-sectional area, respectively, by radiological evaluation) were acquired with a novel photon-counting CT system. Numerical evaluations of haemodynamics were conducted using a high-fidelity 3D computational fluid dynamics approach on both the patient-specific graft geometries and in two virtually augmented stenotic severities and three device flows. Visual analysis identified increased velocity, pressure, and turbulent flow in the outer anterior curvature of the outflow graft; however, changes in graft pressure gradients were slight (1-9 mmHg) across the range of stenosis severities and flow rates tested.
Conclusion: Evidence of eOGO during HM3 support and the recent device recall can provoke clinical apprehension and interventions. The haemodynamic impact of a stenosis detected visually or by quantification of cross-sectional area reduction may be difficult to predict and easily overestimated. This numerical study suggests that, for clinically encountered flow rates and stenosis severities below 61% in cross-sectional area decrease, eOGO may have low haemodynamic impact. This suggests that patients without symptoms or signs consistent with haemodynamically significant obstruction might be managed expectantly.
{"title":"Haemodynamic significance of extrinsic outflow graft stenoses during HeartMate 3™ therapy.","authors":"Linus Ohlsson, Mårten Sandstedt, Joanna-Maria Papageorgiou, Anders Svensson, Ann Bolger, Éva Tamás, Hans Granfeldt, Tino Ebbers, Jonas Lantz","doi":"10.1093/ehjimp/qyae082","DOIUrl":"10.1093/ehjimp/qyae082","url":null,"abstract":"<p><strong>Aims: </strong>The HeartMate 3 (HM3) implantable left ventricular assist device connects the left ventricle apex to the aorta via an outflow graft. Extrinsic obstruction of the graft (eOGO) is associated with serious morbidity and mortality and recently led to a Food and Drug Administration Class 1 device recall of HM3. This study aimed to provide a better understanding of the haemodynamic impact of extrinsic stenoses.</p><p><strong>Methods and results: </strong>Computed tomography (CT) images of two retrospectively identified patients with eOGO (29 and 36% decrease in cross-sectional area, respectively, by radiological evaluation) were acquired with a novel photon-counting CT system. Numerical evaluations of haemodynamics were conducted using a high-fidelity 3D computational fluid dynamics approach on both the patient-specific graft geometries and in two virtually augmented stenotic severities and three device flows. Visual analysis identified increased velocity, pressure, and turbulent flow in the outer anterior curvature of the outflow graft; however, changes in graft pressure gradients were slight (1-9 mmHg) across the range of stenosis severities and flow rates tested.</p><p><strong>Conclusion: </strong>Evidence of eOGO during HM3 support and the recent device recall can provoke clinical apprehension and interventions. The haemodynamic impact of a stenosis detected visually or by quantification of cross-sectional area reduction may be difficult to predict and easily overestimated. This numerical study suggests that, for clinically encountered flow rates and stenosis severities below 61% in cross-sectional area decrease, eOGO may have low haemodynamic impact. This suggests that patients without symptoms or signs consistent with haemodynamically significant obstruction might be managed expectantly.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367968/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142121470","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}
Pub Date : 2024-08-27eCollection Date: 2024-07-01DOI: 10.1093/ehjimp/qyae089
Nithin R Iyer, Jennifer A Bryant, Thu-Thao Le, Justin G Grenier, Richard B Thompson, Calvin W L Chin, Martin Ugander
Aims: Non-invasive methods to quantify pulmonary congestion are lacking in clinical practice. Cardiovascular magnetic resonance (CMR) lung water density (LWD) mapping is accurate and reproducible and has prognostic value. However, it is not known whether LWD is associated with routinely acquired CMR parameters.
Methods and results: This was an observational cohort including healthy controls and patients at risk of heart failure. LWD was measured using CMR with a free-breathing short echo time 3D Cartesian gradient-echo sequence with a respiratory navigator at 1.5 T. Associations were assessed between LWD, lung water volume and cardiac volumes, left ventricular (LV) mass and function, myocardial native T1, and extracellular volume fraction. In patients at risk for heart failure (n = 155), LWD was greater than in healthy controls (n = 15) (30.4 ± 5.0 vs. 27.2 ± 4.3%, P = 0.02). Using receiver operating characteristic analysis, the optimal cut-off for LWD was 27.6% to detect at-risk patients (sensitivity 72%, specificity 73%, positive likelihood ratio 2.7, and inverse negative likelihood ratio 2.6). LWD was univariably associated with body mass index (BMI), hypertension, right atrial area, and LV mass. In multivariable linear regression, only BMI remained associated with LWD (R2 = 0.32, P < 0.001).
Conclusion: LWD is increased in patients at risk for heart failure compared with controls and is only weakly explained by conventional CMR measures. LWD provides diagnostic information that is largely independent of conventional CMR measures.
{"title":"Lung water density is increased in patients at risk of heart failure and is largely independent of conventional cardiovascular magnetic resonance measures.","authors":"Nithin R Iyer, Jennifer A Bryant, Thu-Thao Le, Justin G Grenier, Richard B Thompson, Calvin W L Chin, Martin Ugander","doi":"10.1093/ehjimp/qyae089","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae089","url":null,"abstract":"<p><strong>Aims: </strong>Non-invasive methods to quantify pulmonary congestion are lacking in clinical practice. Cardiovascular magnetic resonance (CMR) lung water density (LWD) mapping is accurate and reproducible and has prognostic value. However, it is not known whether LWD is associated with routinely acquired CMR parameters.</p><p><strong>Methods and results: </strong>This was an observational cohort including healthy controls and patients at risk of heart failure. LWD was measured using CMR with a free-breathing short echo time 3D Cartesian gradient-echo sequence with a respiratory navigator at 1.5 T. Associations were assessed between LWD, lung water volume and cardiac volumes, left ventricular (LV) mass and function, myocardial native T1, and extracellular volume fraction. In patients at risk for heart failure (<i>n</i> = 155), LWD was greater than in healthy controls (<i>n</i> = 15) (30.4 ± 5.0 vs. 27.2 ± 4.3%, <i>P</i> = 0.02). Using receiver operating characteristic analysis, the optimal cut-off for LWD was 27.6% to detect at-risk patients (sensitivity 72%, specificity 73%, positive likelihood ratio 2.7, and inverse negative likelihood ratio 2.6). LWD was univariably associated with body mass index (BMI), hypertension, right atrial area, and LV mass. In multivariable linear regression, only BMI remained associated with LWD (<i>R</i> <sup>2</sup> = 0.32, <i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>LWD is increased in patients at risk for heart failure compared with controls and is only weakly explained by conventional CMR measures. LWD provides diagnostic information that is largely independent of conventional CMR measures.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11408878/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142305466","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}
Pub Date : 2024-08-20eCollection Date: 2024-07-01DOI: 10.1093/ehjimp/qyae085
Roberto Baltodano-Arellano, Daniel Huaman-Carrasco, Kelly Cupe-Chacalcaje, Angela Cachicatari-Beltran, Lindsay Benites-Yshpilco, Dante Urdanivia-Ruiz, Eliana Rafael-Horna, Luis Falcón-Quispe, Alessio Demarini-Orellana, Kevin Velarde-Acosta, Xochitl Ortiz-Leon, Gerald Levano-Pachas
Infective endocarditis (IE) is a condition that predominantly affects native or prosthetic heart valves, which is currently on the rise due to the increase in invasive cardiology procedures, such as the utilization of cardiac implantable electronic devices and transcatheter interventions. The recommended imaging tests for diagnosis are 2D transthoracic echocardiography (2D TTE) and 2D transoesophageal echocardiography (2D TOE). However, these modalities present limitations in detecting vegetations and estimating their dimensions. These disadvantages can be overcome by 3D transoesophageal echocardiography (3D TOE), particularly with the multiplanar reconstruction tool, which allows for the visualization of infinite valve planes, thus optimizing the detection of lesions and precise measurements. Furthermore, the volume rendering provides insight into the anatomical relationships between lesions, which is particularly useful for surgical planning. In this review, we aim to discuss the role of this recent imaging modality in the diagnosis, prognosis, and therapeutic of IE. Finally, we present a collection of images that illustrate the use of 3D TOE tools.
感染性心内膜炎(IE)是一种主要影响原发性或人工心脏瓣膜的疾病,目前由于侵入性心脏病学手术(如使用心脏植入电子装置和经导管介入治疗)的增加而呈上升趋势。建议用于诊断的成像检查是二维经胸超声心动图(2D TTE)和二维经食道超声心动图(2D TOE)。然而,这些方法在检测植物瘤和估计其尺寸方面存在局限性。三维经食道超声心动图(3D TOE)可以克服这些缺点,尤其是多平面重建工具,它可以显示无限的瓣膜平面,从而优化病变检测和精确测量。此外,通过容积渲染可以了解病变之间的解剖关系,这对手术规划特别有用。在这篇综述中,我们旨在讨论这种最新的成像模式在 IE 诊断、预后和治疗中的作用。最后,我们将展示一组图像,说明 3D TOE 工具的使用情况。
{"title":"Role of 3D transoesophageal echocardiography in the study of infective endocarditis. Demonstration in a case collection.","authors":"Roberto Baltodano-Arellano, Daniel Huaman-Carrasco, Kelly Cupe-Chacalcaje, Angela Cachicatari-Beltran, Lindsay Benites-Yshpilco, Dante Urdanivia-Ruiz, Eliana Rafael-Horna, Luis Falcón-Quispe, Alessio Demarini-Orellana, Kevin Velarde-Acosta, Xochitl Ortiz-Leon, Gerald Levano-Pachas","doi":"10.1093/ehjimp/qyae085","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae085","url":null,"abstract":"<p><p>Infective endocarditis (IE) is a condition that predominantly affects native or prosthetic heart valves, which is currently on the rise due to the increase in invasive cardiology procedures, such as the utilization of cardiac implantable electronic devices and transcatheter interventions. The recommended imaging tests for diagnosis are 2D transthoracic echocardiography (2D TTE) and 2D transoesophageal echocardiography (2D TOE). However, these modalities present limitations in detecting vegetations and estimating their dimensions. These disadvantages can be overcome by 3D transoesophageal echocardiography (3D TOE), particularly with the multiplanar reconstruction tool, which allows for the visualization of infinite valve planes, thus optimizing the detection of lesions and precise measurements. Furthermore, the volume rendering provides insight into the anatomical relationships between lesions, which is particularly useful for surgical planning. In this review, we aim to discuss the role of this recent imaging modality in the diagnosis, prognosis, and therapeutic of IE. Finally, we present a collection of images that illustrate the use of 3D TOE tools.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11483539/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484934","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}
Pub Date : 2024-08-16eCollection Date: 2024-07-01DOI: 10.1093/ehjimp/qyae083
Luuk H G A Hopman, Frebus J van Slochteren, Thelma C Konings, Emanuele Rondanina, Cornelis P Allaart, Marco J W Götte, Vokko P van Halm
{"title":"Imaging-guided cardiac resynchronization therapy lead placement in patients with congenitally corrected transposition of the great arteries.","authors":"Luuk H G A Hopman, Frebus J van Slochteren, Thelma C Konings, Emanuele Rondanina, Cornelis P Allaart, Marco J W Götte, Vokko P van Halm","doi":"10.1093/ehjimp/qyae083","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae083","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11369810/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127811","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}
Pub Date : 2024-08-12eCollection Date: 2024-07-01DOI: 10.1093/ehjimp/qyae081
Andrea Barbieri, Massimiliano Camilli, Irma Bisceglia, Francesca Mantovani, Quirino Ciampi, Concetta Zito, Maria Laura Canale, Georgette Khoury, Francesco Antonini-Canterin, Scipione Carerj, Marco Campana, Carmine Riccio, Michele Massimo Gulizia, Massimo Grimaldi, Domenico Gabrielli, Furio Colivicchi, Mauro Pepi, Fabrizio Oliva
Aims: The need for cardio-oncology competencies is constantly growing, and with the establishment of cardio-oncology services, cardiovascular imaging, particularly transthoracic echocardiography (TTE), has become pivotal in patients' management. However, care pathways for oncologic patients largely depend on local health structures' resources. This survey from Associazione Italiana Medici Cardiologi Ospedalieri and the Italian Society of Echocardiography and Cardiovascular Imaging aimed at investigating the use of echocardiography in cardio-oncology services and knowledge levels on cancer patients' care.
Methods and results: Data were obtained via an electronic survey based on a structured questionnaire uploaded to the promoting societies' websites. Responses came from 159 centres with echocardiography. According to one-third of participating centres, workload related to cancer patients represented >30% of the total requests. The most common TTE indication (85%) was left ventricular ejection fraction (LVEF) evaluation. Many centres (55%) still assessed LVEF solely by bidimensional method or visual estimation in case of inadequate acoustic windows. At the same time, almost 40% of centres reported routinely using global longitudinal strain when feasible. We further performed a sub-analysis according to the presence (33%) or absence (77%) of dedicated cardio-oncologists, revealing significant differences in cardiovascular surveillance strategies and cardiotoxicity management.
Conclusion: This survey on echocardiography practice for cancer patients reveals a significant gap between actual clinical practice and standards proposed by recommendations, underlying the need for stronger partnerships between cardiologists and oncologists and dedicated, well-structured cardio-oncology services.
{"title":"Current use of echocardiography in cardio-oncology: nationwide real-world data from an ANMCO/SIECVI joint survey.","authors":"Andrea Barbieri, Massimiliano Camilli, Irma Bisceglia, Francesca Mantovani, Quirino Ciampi, Concetta Zito, Maria Laura Canale, Georgette Khoury, Francesco Antonini-Canterin, Scipione Carerj, Marco Campana, Carmine Riccio, Michele Massimo Gulizia, Massimo Grimaldi, Domenico Gabrielli, Furio Colivicchi, Mauro Pepi, Fabrizio Oliva","doi":"10.1093/ehjimp/qyae081","DOIUrl":"10.1093/ehjimp/qyae081","url":null,"abstract":"<p><strong>Aims: </strong>The need for cardio-oncology competencies is constantly growing, and with the establishment of cardio-oncology services, cardiovascular imaging, particularly transthoracic echocardiography (TTE), has become pivotal in patients' management. However, care pathways for oncologic patients largely depend on local health structures' resources. This survey from Associazione Italiana Medici Cardiologi Ospedalieri and the Italian Society of Echocardiography and Cardiovascular Imaging aimed at investigating the use of echocardiography in cardio-oncology services and knowledge levels on cancer patients' care.</p><p><strong>Methods and results: </strong>Data were obtained via an electronic survey based on a structured questionnaire uploaded to the promoting societies' websites. Responses came from 159 centres with echocardiography. According to one-third of participating centres, workload related to cancer patients represented >30% of the total requests. The most common TTE indication (85%) was left ventricular ejection fraction (LVEF) evaluation. Many centres (55%) still assessed LVEF solely by bidimensional method or visual estimation in case of inadequate acoustic windows. At the same time, almost 40% of centres reported routinely using global longitudinal strain when feasible. We further performed a sub-analysis according to the presence (33%) or absence (77%) of dedicated cardio-oncologists, revealing significant differences in cardiovascular surveillance strategies and cardiotoxicity management.</p><p><strong>Conclusion: </strong>This survey on echocardiography practice for cancer patients reveals a significant gap between actual clinical practice and standards proposed by recommendations, underlying the need for stronger partnerships between cardiologists and oncologists and dedicated, well-structured cardio-oncology services.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367962/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142121469","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}