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Automated biventricular quantification in patients with repaired tetralogy of Fallot using a 3D deep learning segmentation model. 利用三维深度学习分割模型自动量化法洛氏四联症修复患者的双心室。
IF 6.4 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-09-11 DOI: 10.1016/j.jocmr.2024.101092
Sofie Tilborghs,Tiffany Liang,Stavroula Raptis,Ayako Ishikita,Werner Budts,Tom Dresselaers,Jan Bogaert,Frederik Maes,Rachel M Wald,Alexander Van De Bruaene
BACKGROUNDDeep learning is the state-of-the-art approach for automated segmentation of the left ventricle (LV) and right ventricle (RV) in cardiac magnetic resonance (CMR) images. However, these models have been mostly trained and validated using CMR datasets of structurally normal hearts or cases with acquired cardiac disease, and are therefore not well-suited to handle cases with congenital cardiac disease such as tetralogy of Fallot (TOF). We aimed to develop and validate a dedicated model with improved performance for LV and RV cavity and myocardium quantification in patients with repaired TOF.METHODSWe trained a 3D convolutional neural network (CNN) with 5-fold cross-validation using manually delineated end-diastolic (ED) and end-systolic (ES) short-axis image stacks obtained from either a public dataset containing patients with no or acquired cardiac pathology (n=100), an institutional dataset of TOF patients (n=96), or both datasets mixed. Our method allows for missing labels in the training images to accommodate for different ED and ES phases for LV and RV as is commonly the case in TOF. The best performing model was applied to all frames of a separate test set of TOF cases (n=36) and ED and ES phases were automatically determined for LV and RV separately. The model was evaluated against the performance of a commercial software (suiteHEART®, NeoSoft, Pewaukee, Wisconsin, US).RESULTSTraining on the mixture of both datasets yielded the best agreement with the manual ground truth for the TOF cases, achieving a median DICE similarity coefficient of (93.8%, 89.8%) for LV cavity and of (92.9%, 90.9%) for RV cavity at (ED, ES) respectively, and of 80.9% and 61.8% for LV and RV myocardium at ED. The offset in automated ED and ES frame selection was 0.56 and 0.89 frames on average for LV and RV respectively. No statistically significant differences were found between our model and the commercial software for LV quantification (two-sided Wilcoxon signed rank test, p<5%), while RV quantification was significantly improved with our model achieving a mean absolute error of 12ml for RV cavity compared to 36ml for the commercial software.CONCLUSIONWe developed and validated a fully automatic segmentation and quantification approach for LV and RV, including RV mass, in patients with repaired TOF. Compared to a commercial software, our approach is superior for RV quantification indicating its potential in clinical practice.
背景深度学习是在心脏磁共振(CMR)图像中自动分割左心室(LV)和右心室(RV)的最先进方法。然而,这些模型大多是使用结构正常的心脏或后天性心脏病病例的 CMR 数据集进行训练和验证的,因此不太适合处理法洛氏四联症(TOF)等先天性心脏病病例。我们的目的是开发并验证一种专用模型,该模型在对修复过的 TOF 患者进行左心室和左心室腔及心肌定量分析时性能更佳。方法:我们使用手动绘制的舒张末期(ED)和收缩末期(ES)短轴图像堆栈,对三维卷积神经网络(CNN)进行了 5 次交叉验证训练,这些图像堆栈分别取自包含无或获得性心脏病理学患者的公共数据集(n=100)、TOF 患者的机构数据集(n=96)或两个数据集的混合数据集。我们的方法允许训练图像中的缺失标签,以适应左心室和左心室不同的 ED 和 ES 阶段,这在 TOF 中很常见。将性能最好的模型应用于 TOF 病例(n=36)单独测试集的所有帧,并分别自动确定左心室和右心室的 ED 和 ES 阶段。结果在两个数据集的混合物上进行训练后,TOF 病例与人工基本真相的一致性最佳,LV 和 RV 的中位 DICE 相似系数分别为(93.8%、89.8%)。8%,89.8%),在(ED,ES)的左心室腔和左心室腔的相似系数中位数分别为(92.9%,90.9%),在ED的左心室和左心室心肌的相似系数中位数分别为80.9%和61.8%。对左心室和右心室而言,ED 和 ES 自动帧选择的偏移量平均分别为 0.56 帧和 0.89 帧。在 LV 定量方面,我们的模型与商业软件之间没有发现明显的统计学差异(双侧 Wilcoxon 符号秩检验,P<5%),而 RV 定量则有明显改善,我们的模型对 RV 腔的平均绝对误差为 12 毫升,而商业软件为 36 毫升。与商业软件相比,我们的方法在 RV 定量方面更胜一筹,显示了其在临床实践中的潜力。
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引用次数: 0
Practice Patterns of Cardiovascular Magnetic Resonance Use in the Diagnosis of Pediatric Myocarditis: A Survey-Based Study. 心血管磁共振用于诊断小儿心肌炎的实践模式:基于调查的研究。
IF 6.4 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-09-11 DOI: 10.1016/j.jocmr.2024.101091
Hannah M Jacobs,Jonathan H Soslow,Matthew D Cornicelli,Shae A Merves,Ruchira Garg,Mehul D Patel,Arpit Agarwal,Nilanjana Misra,Michael P DiLorenzo,M Jay Campbell,Jeremy Steele,Jennifer Co-Vu,Joshua D Robinson,Simon Lee,Jason N Johnson
BACKGROUNDCardiovascular magnetic resonance (CMR) is used to diagnose myocarditis in adults and children based on the original Lake Louise Criteria (LLC) and more recently the revised LLC. The major change included in the revised LLC was the incorporation of parametric mapping, which significantly increases the sensitivity and specificity of diagnosis. Subsequently, scientific statements have recommended the use of parametric mapping in the diagnosis of myocarditis in children. However, there are some challenges to parametric mapping that are unique to the pediatric population. Our goal is to characterize clinical CMR and parametric mapping practice patterns for diagnosis of myocarditis in pediatric centers.METHODSThe Cardiovascular Magnetic Resonance Evaluation in Return to Athletes for Myocarditis in COVID-19 and Immunization Consortium created a REDCap survey to evaluate clinical practice patterns for diagnosis of myocarditis in pediatrics. This survey was distributed to the Society for Cardiovascular Magnetic Resonance community.RESULTS59 responses from 51 centers were received, with only one response from each center being utilized. Only 35% of centers (37% of North America, 31% of international) reported using CMR routinely in all patients with a suspicion for myocarditis. Diagnostic uncertainty was noted as the most important reason for CMR, while cost was noted as the least important consideration. The majority of centers reported using the revised LLC (37/51, 72%) compared to original LLC (7/51, 14%) or a hybrid criteria (6/51, 12%). When looking at the use of parametric mapping, only 5/47 (11%) for T1 mapping and 11/49 (22%) for T2 mapping reported having scanner-specific pediatric normative data.CONCLUSIONRoutine CMR imaging for diagnosis of myocarditis in pediatrics is infrequently performed at surveyed centers despite the focus on a group of non-invasive cardiac imagers. While the majority reported using parametric mapping, few centers reporting having pediatric scanner-specific normative data. This highlights an important gap in the utilization of CMR that may aid in the diagnosis of myocardial disease.
背景心血管磁共振(CMR)是根据最初的路易斯湖标准(LLC)和最近修订的 LLC 诊断成人和儿童心肌炎的。修订版 LLC 的主要变化是纳入了参数图谱,这大大提高了诊断的灵敏度和特异性。随后,科学声明建议在诊断儿童心肌炎时使用参数图谱。然而,参数图谱在儿科人群中存在一些独特的挑战。我们的目标是描述儿科中心诊断心肌炎的临床 CMR 和参数图谱实践模式。方法COVID-19 和免疫联合会心血管磁共振评估返回运动员心肌炎创建了一个 REDCap 调查,以评估儿科诊断心肌炎的临床实践模式。结果共收到 51 个中心的 59 份回复,每个中心只有一份回复被采用。只有 35% 的中心(37% 的北美中心和 31% 的国际中心)表示对所有怀疑患有心肌炎的患者常规使用 CMR。诊断不确定性被认为是进行 CMR 的最重要原因,而成本被认为是最不重要的考虑因素。大多数中心报告使用了修订版 LLC(37/51,72%),而未使用原始 LLC(7/51,14%)或混合标准(6/51,12%)。在研究参数图谱的使用情况时,只有 5/47 (11%) 的 T1 图谱和 11/49 (22%) 的 T2 图谱报告有扫描仪特定的儿科规范数据。虽然大多数中心报告使用了参数图谱,但很少有中心报告拥有儿科专用扫描仪的标准数据。这凸显了在利用可帮助诊断心肌疾病的 CMR 方面存在的重要差距。
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引用次数: 0
Hyperpolarized [1-13C]pyruvate Magnetic Resonance Imaging Identifies Metabolic Phenotypes in Patients with Heart Failure. 超极化[1-13C]丙酮酸磁共振成像可识别心力衰竭患者的代谢表型。
IF 6.4 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-09-11 DOI: 10.1016/j.jocmr.2024.101095
Steen Hylgaard Joergensen,Esben Soevsoe S Hansen,Nikolaj Bøgh,Lotte Bonde Bertelsen,Rasmus Stilling Tougaard,Peter Bisgaard Staehr,Christoffer Laustsen,Henrik Wiggers
BACKGROUNDHyperpolarized [1-13C]pyruvate magnetic resonance imaging (HP MRI) visualizes key steps in myocardial metabolism. The present study aimed to examine patients with heart (HF) using HP MRI.METHODSA cross-sectional study of patients with HF and healthy controls using HP MRI. Metabolic imaging was obtained using a cardiac-gated spectral-spatial excitation with spiral read-out acquisition. The metabolite signal was analyzed for lactate, bicarbonate, and the alanine signal. Metabolite signal was normalized to the total carbon signal (TC). At the one-year follow-up, echocardiography was performed in all patients and HP MRI in two patients.RESULTSWe included six patients with ischemic heart disease (IHD), six with dilated cardiomyopathy and six healthy controls. In patients, left ventricular ejection fraction (LVEF) correlated with lactate/bicarbonate (r = -0.6, p = 0.03) and lactate/TC (r = -0.7, p = 0.01). In patients with LVEF < 30%, lactate/TC was increased (p = 0.01) and bicarbonate/TC reduced (p = 0.03). Circumferential strain correlated with metabolite ratios: lactate/bicarbonate, r = 0.87 (p = 0.0002); lactate/TC, r = 0.85 (p = 0.0005); bicarbonate/TC, r = -0.82 (p = 0.001). In patients with IHD, a strong correlation was found between baseline metabolite ratios and the change in LVEF at follow-up: lactate/bicarbonate (p = 0.001); lactate/TC (p = 0.011); and bicarbonate/TC (p = 0.012).CONCLUSIONSThis study highlighted the ability of HP MRI to detect changes in metabolism in HF. HP MRI has potential for metabolic phenotyping of patients with HF and for predicting treatment response.TRIAL REGISTRATIONEUDRACT, 2018-003533-15. Registered 4 December 2018, https://www.clinicaltrialsregister.eu/ctr-search/search?query=2018-003533-15.
背景超极化[1-13C]丙酮酸磁共振成像(HP MRI)可显示心肌代谢的关键步骤。本研究旨在使用 HP MRI 对心脏(HF)患者进行检查。代谢成像采用心脏门控频谱空间激发和螺旋读出采集。代谢物信号分析包括乳酸、碳酸氢盐和丙氨酸信号。代谢物信号与总碳信号(TC)进行归一化处理。随访一年时,对所有患者进行了超声心动图检查,对两名患者进行了 HP MRI 检查。在患者中,左心室射血分数(LVEF)与乳酸/碳酸氢盐(r = -0.6,p = 0.03)和乳酸/TC(r = -0.7,p = 0.01)相关。在 LVEF < 30% 的患者中,乳酸/碳酸氢盐增加(p = 0.01),碳酸氢盐/碳酸氢盐减少(p = 0.03)。圆周应变与代谢物比率相关:乳酸/碳酸氢盐,r = 0.87 (p = 0.0002);乳酸/TC,r = 0.85 (p = 0.0005);碳酸氢盐/TC,r = -0.82 (p = 0.001)。在 IHD 患者中,基线代谢物比率与随访时 LVEF 的变化之间存在很强的相关性:乳酸/碳酸氢盐(p = 0.001);乳酸/TC(p = 0.011);碳酸氢盐/TC(p = 0.012)。HP MRI具有对HF患者进行代谢表型分析和预测治疗反应的潜力.TRIAL REGISTRATIONEUDRACT,2018-003533-15。2018年12月4日注册,https://www.clinicaltrialsregister.eu/ctr-search/search?query=2018-003533-15。
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引用次数: 0
Removed: "Kiosk 8Q-FA-03-Gedatolisib Associated Acute Myocarditis in a Patient with Breast Adenocarcinoma" [Journal of Cardiovascular Magnetic Resonance 26 (2024) 100856]. 已删除:"Kiosk 8Q-FA-03-Gedatolisib 乳腺癌患者急性心肌炎》[《心血管磁共振杂志》26 (2024) 100856]。
IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-08-23 DOI: 10.1016/j.jocmr.2024.101084
Mohamad Khattab, Jennifer Kwan, Deya Alkhatib, Miles Shen, Sagar Desai, Emmanuel Akintoye, Steffen Huber, Lauren Baldassarre
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引用次数: 0
The Bethesda ERCP Skills Assessment Tool (BESAT) can reliably differentiate endoscopists of different experience levels. 贝塞斯达ERCP技能评估工具(BESAT)能可靠地区分不同经验水平的内镜医师。
IF 2.6 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-02-28 eCollection Date: 2024-02-01 DOI: 10.1055/a-2161-1982
Kevin Liu, B Joseph Elmunzer, Sachin Wani, Tiffany Taft, Catharine M Walsh, Mustafa A Arain, Tyler M Berzin, James Buxbaum, Christopher DiMaio, Syed M Abbas Fehmi, Neil Gupta, Sreenivasa Jonnalagadda, Vladimir Kushnir, John T Maple, Raman Muthusamy, Amit Rastogi, Janak N Shah, Amitabh Chak, Ashley Faulx, Nauzer Forbes, Rajesh N Keswani

Background and study aims The Bethesda ERCP Skill Assessment Tool (BESAT) is a video-based assessment tool of technical endoscopic retrograde cholangiopancreatography (ERCP) skill with previously established validity evidence. We aimed to assess the discriminative validity of the BESAT in differentiating ERCP skill levels. Methods Twelve experienced ERCP practitioners from tertiary academic centers were asked to blindly rate 43 ERCP videos using the BESAT. ERCP videos consisted of native biliary cannulation and sphincterotomy and were recorded from 10 unique endoscopists of various ERCP experience (from advanced endoscopy fellow to > 10 years of ERCP experience). Inter-rater reliability, discriminative validity, and internal structure validity were subsequently assessed. Results The BESAT was found to reliably differentiate between endoscopists of varying levels of ERCP experience with experienced ERCPists scoring higher than novice ERCPists in 11 of 13 (85%) instrument items. Inter-rater reliability for BESAT items ranged from good to excellent (intraclass correlation range: 0.86 to 0.93). Internal structure validity was assessed with item-total correlations ranging from 0.53 to 0.83. Conclusions Study findings demonstrate that the BESAT, a video-based ERCP skill assessment tool, has high inter-rater reliability and has discriminative validity in differentiating novice from expert ERCP skill. Further investigations are needed to determine the role of video-based assessment in improving trainee learning curves and patient outcomes.

背景和研究目的 贝塞斯达ERCP技能评估工具(BESAT)是一种基于视频的内镜逆行胰胆管造影术(ERCP)技能评估工具,其有效性已得到证实。我们旨在评估 BESAT 在区分 ERCP 技能水平方面的鉴别有效性。方法 我们要求来自三级学术中心的 12 名经验丰富的 ERCP 医生使用 BESAT 对 43 部 ERCP 视频进行盲评。ERCP视频包括本地胆道插管和括约肌切开术,由10名具有不同ERCP经验(从高级内镜研究员到超过10年的ERCP经验)的内镜医师录制。随后对评分者之间的可靠性、鉴别有效性和内部结构有效性进行了评估。结果 发现 BESAT 能可靠地区分具有不同水平 ERCP 经验的内镜医师,在 13 个工具项目中的 11 个项目(85%)上,经验丰富的 ERCP 医师的得分高于 ERCP 新手。BESAT 项目的评分者间可靠性从良好到优秀不等(类内相关范围:0.86 至 0.93)。在评估内部结构有效性时,项目与项目之间的相关性为 0.53 至 0.83。结论 研究结果表明,BESAT 是一种基于视频的 ERCP 技能评估工具,在区分 ERCP 技能新手和专家方面具有较高的评分者间可靠性和鉴别有效性。要确定视频评估在改善学员学习曲线和患者预后方面的作用,还需要进一步的研究。
{"title":"The Bethesda ERCP Skills Assessment Tool (BESAT) can reliably differentiate endoscopists of different experience levels.","authors":"Kevin Liu, B Joseph Elmunzer, Sachin Wani, Tiffany Taft, Catharine M Walsh, Mustafa A Arain, Tyler M Berzin, James Buxbaum, Christopher DiMaio, Syed M Abbas Fehmi, Neil Gupta, Sreenivasa Jonnalagadda, Vladimir Kushnir, John T Maple, Raman Muthusamy, Amit Rastogi, Janak N Shah, Amitabh Chak, Ashley Faulx, Nauzer Forbes, Rajesh N Keswani","doi":"10.1055/a-2161-1982","DOIUrl":"10.1055/a-2161-1982","url":null,"abstract":"<p><p><b>Background and study aims</b> The Bethesda ERCP Skill Assessment Tool (BESAT) is a video-based assessment tool of technical endoscopic retrograde cholangiopancreatography (ERCP) skill with previously established validity evidence. We aimed to assess the discriminative validity of the BESAT in differentiating ERCP skill levels. <b>Methods</b> Twelve experienced ERCP practitioners from tertiary academic centers were asked to blindly rate 43 ERCP videos using the BESAT. ERCP videos consisted of native biliary cannulation and sphincterotomy and were recorded from 10 unique endoscopists of various ERCP experience (from advanced endoscopy fellow to > 10 years of ERCP experience). Inter-rater reliability, discriminative validity, and internal structure validity were subsequently assessed. <b>Results</b> The BESAT was found to reliably differentiate between endoscopists of varying levels of ERCP experience with experienced ERCPists scoring higher than novice ERCPists in 11 of 13 (85%) instrument items. Inter-rater reliability for BESAT items ranged from good to excellent (intraclass correlation range: 0.86 to 0.93). Internal structure validity was assessed with item-total correlations ranging from 0.53 to 0.83. <b>Conclusions</b> Study findings demonstrate that the BESAT, a video-based ERCP skill assessment tool, has high inter-rater reliability and has discriminative validity in differentiating novice from expert ERCP skill. Further investigations are needed to determine the role of video-based assessment in improving trainee learning curves and patient outcomes.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":"11 1","pages":"E324-E331"},"PeriodicalIF":2.6,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10901650/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87806361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unrecognized myocardial scar by late-gadolinium-enhancement cardiovascular magnetic resonance: Insights from the population-based Hamburg City Health Study. 晚期钆增强心血管磁共振未识别的心肌瘢痕:基于人群的汉堡市健康研究的启示。
IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-01-01 Epub Date: 2024-02-09 DOI: 10.1016/j.jocmr.2024.101008
Ersin Cavus, Jan N Schneider, Eleonora di Carluccio, Andreas Ziegler, Alena Haack, Francisco Ojeda, Celeste Chevalier, Charlotte Jahnke, Katharina A Riedl, Ulf K Radunski, Raphael Twerenbold, Paulus Kirchhof, Stefan Blankenberg, Gerhard Adam, Enver Tahir, Gunnar K Lund, Kai Muellerleile

Background: The presence of myocardial scar is associated with poor prognosis in several underlying diseases. Late-gadolinium-enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging reveals clinically silent "unrecognized myocardial scar" (UMS), but the etiology of UMS often remains unclear. This population-based CMR study evaluated prevalence, localization, patterns, and risk factors of UMS.

Methods: The study population consisted of 1064 consecutive Hamburg City Health Study participants without a history of coronary heart disease or myocarditis. UMS was assessed by standard-phase-sensitive-inversion-recovery LGE CMR.

Results: Median age was 66 [quartiles 59, 71] years and 37% (388/1064) were females. UMS was detected in 244 (23%) participants. Twenty-five participants (10%) had ischemic, and 217 participants (89%) had non-ischemic scar patterns, predominantly involving the basal inferolateral left-ventricular (LV) myocardium (75%). Two participants (1%) had coincident ischemic and non-ischemic scar. The presence of any UMS was independently associated with LV ejection fraction (odds ratios (OR) per standard deviation (SD) 0.77 (confidence interval (CI) 0.65-0.90), p = 0.002) and LV mass (OR per SD 1.54 (CI 1.31-1.82), p < 0.001). Ischemic UMS was independently associated with LV ejection fraction (OR per SD 0.58 (CI 0.39-0.86), p = 0.007), LV mass (OR per SD 1.74 (CI 1.25-2.45), p = 0.001), and diabetes (OR 4.91 (CI 1.66-13.03), p = 0.002). Non-ischemic UMS was only independently associated with LV mass (OR per SD 1.44 (CI 1.24-1.69), p < 0.001).

Conclusion: UMS, in particular with a non-ischemic pattern, is frequent in individuals without known cardiac disease and predominantly involves the basal inferolateral LV myocardium. Presence of UMS is independently associated with a lower LVEF, a higher LV mass, and a history of diabetes.

背景:心肌瘢痕的存在与多种潜在疾病的不良预后有关。晚期钆增强(LGE)心血管磁共振(CMR)成像可显示临床上无声的 "未识别心肌瘢痕"(UMS),但 UMS 的病因往往仍不清楚。这项基于人群的 CMR 研究评估了 UMS 的患病率、定位、模式和风险因素:研究对象包括 1064 名连续参加汉堡市健康研究的人员,他们均无冠心病或心肌炎病史。UMS通过标准相位敏感-反转恢复LGE CMR进行评估:中位年龄为66岁[四分位数59,71],37%为女性。244名参与者(23%)检测出 UMS。25名参与者(10%)有缺血性瘢痕,217名参与者(89%)有非缺血性瘢痕,主要涉及左心室(LV)心肌基底内外侧(75%)。两名参与者(1%)同时存在缺血性和非缺血性瘢痕。UMS的存在与左心室射血分数(OR per SD 0.77 (CI 0.65-0.90), p=0.002)和左心室质量(OR per SD 1.54 (CI 1.31-1.82), p结论:UMS(尤其是非缺血性模式)经常发生在没有已知心脏疾病的人群中,主要累及左心室下外侧基底心肌。未识别的心肌瘢痕的存在与较低的 LVEF 值、较高的左心室质量和糖尿病史密切相关。
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引用次数: 0
Diagnostic confidence with quantitative cardiovascular magnetic resonance perfusion mapping increases with increased coverage of the left ventricle. 随着左心室覆盖范围的增加,CMR 定量灌注图的诊断可信度也随之增加。
IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-01-01 Epub Date: 2024-02-03 DOI: 10.1016/j.jocmr.2024.101007
Henrik Engblom, Ellen Ostenfeld, Marcus Carlsson, Julius Åkesson, Anthony H Aletras, Hui Xue, Peter Kellman, Håkan Arheden

Background: Quantitative cardiovascular magnetic resonance (CMR) first pass perfusion maps are conventionally acquired with 3 short-axis (SAX) views (basal, mid, and apical) in every heartbeat (3SAX/1RR). Thus, a significant part of the left ventricle (LV) myocardium, including the apex, is not covered. The aims of this study were 1) to investigate if perfusion maps acquired with 3 short-axis views sampled every other RR-interval (2RR) yield comparable quantitative measures of myocardial perfusion (MP) as 1RR and 2) to assess if acquiring 3 additional perfusion views (i.e., total of 6) every other RR-interval (2RR) increases diagnostic confidence.

Methods: In 287 patients with suspected ischemic heart disease stress and rest MP were performed on clinical indication on a 1.5T MR scanner. Eighty-three patients were examined by acquiring 3 short-axis perfusion maps with 1RR sampling (3SAX/1RR); for which also 2RR maps were reconstructed. Additionally, in 103 patients 3 short-axis and 3 long-axis (LAX; 2-, 3, and 4-chamber view) perfusion maps were acquired using 2RR sampling (3SAX + 3LAX/2RR) and in 101 patients 6 short-axis perfusion maps using 2RR sampling (6SAX/2RR) were acquired. The diagnostic confidence for ruling in or out stress-induced ischemia was scored according to a Likert scale (certain ischemia [2 points], probably ischemia [1 point], uncertain [0 points], probably no ischemia [1 point], certain no ischemia [2 points]).

Results: There was a strong correlation (R = 0.99) between 3SAX/1RR and 3SAX/2RR for global MP (mL/min/g). The diagnostic confidence score increased significantly when the number of perfusion views was increased from 3 to 6 (1.24 ± 0.68 vs 1.54 ± 0.64, p < 0.001 with similar increase for 3SAX+3LAX/2RR (1.29 ± 0.68 vs 1.55 ± 0.65, p < 0.001) and for 6SAX/2RR (1.19 ± 0.69 vs 1.53 ± 0.63, p < 0.001).

Conclusion: Quantitative perfusion mapping with 2RR sampling of data yields comparable perfusion values as 1RR sampling, allowing for the acquisition of additional views within the same perfusion scan. The diagnostic confidence for stress-induced ischemia increases when adding 3 additional views, short- or long axes, to the conventional 3 short-axis views. Thus, future development and clinical implementation of quantitative CMR perfusion should aim at increasing the LV coverage from the current standard using 3 short-axis views.

背景:定量 CMR 首过灌注图传统上是在每个心跳中通过 3 个短轴切面(基底、中部和心尖)获取的(3SAX/1RR)。因此,包括心尖在内的大部分左心室心肌未被覆盖。本研究的目的是:1)研究每隔一个RR间期采样3个短轴切面(2RR)获得的灌注图是否能产生与1RR相当的心肌灌注(MP)定量测量结果;2)评估每隔一个RR间期(2RR)额外采集3个灌注切面(即总共6个)是否能增加诊断可信度:方法:287 名疑似缺血性心脏病患者根据临床指征在 1.5T 磁共振扫描仪上进行了应激和静息 MP 检查。对 83 名患者进行了检查,采集了 3 幅 1RR 取样的短轴灌注图(3SAX/1RR),并重建了 2RR 灌注图。此外,103 名患者使用 2RR 取样(3SAX+3LAX/2RR)获得了 3 幅短轴和 3 幅长轴(2、3 和 4 腔视图)灌注图,101 名患者使用 2RR 取样(6SAX/2RR)获得了 6 幅短轴灌注图。根据李克特量表(确定缺血[2 分]、可能缺血[1 分]、不确定[0 分]、可能无缺血[1 分]、确定无缺血[2 分])对排除应激诱导缺血的诊断可信度进行评分:3SAX/1RR和3SAX/2RR之间在总体心肌灌注(ml/min/g)方面有很强的相关性(R=0.99)。当灌注切面数从 3 个增加到 6 个时,诊断可信度得分明显增加(1.24±0.68 vs 1.54±0.64,p < 0.001),3SAX+3LAX/2RR 的诊断可信度得分也有类似增加(1.29±0.68 vs 1.55±0.65,p 结论:采用 2RR 数据采样的定量灌注绘图可获得与 1RR 采样相当的灌注值,从而可在同一灌注扫描中获得更多视图。如果在传统的 3 个短轴切面的基础上增加 3 个长轴或短轴切面,应激诱导缺血的诊断可信度就会增加。因此,CMR 定量灌注的未来发展和临床应用应在目前使用 3 个短轴切面的标准基础上,增加左心室的覆盖范围。
{"title":"Diagnostic confidence with quantitative cardiovascular magnetic resonance perfusion mapping increases with increased coverage of the left ventricle.","authors":"Henrik Engblom, Ellen Ostenfeld, Marcus Carlsson, Julius Åkesson, Anthony H Aletras, Hui Xue, Peter Kellman, Håkan Arheden","doi":"10.1016/j.jocmr.2024.101007","DOIUrl":"10.1016/j.jocmr.2024.101007","url":null,"abstract":"<p><strong>Background: </strong>Quantitative cardiovascular magnetic resonance (CMR) first pass perfusion maps are conventionally acquired with 3 short-axis (SAX) views (basal, mid, and apical) in every heartbeat (3SAX/1RR). Thus, a significant part of the left ventricle (LV) myocardium, including the apex, is not covered. The aims of this study were 1) to investigate if perfusion maps acquired with 3 short-axis views sampled every other RR-interval (2RR) yield comparable quantitative measures of myocardial perfusion (MP) as 1RR and 2) to assess if acquiring 3 additional perfusion views (i.e., total of 6) every other RR-interval (2RR) increases diagnostic confidence.</p><p><strong>Methods: </strong>In 287 patients with suspected ischemic heart disease stress and rest MP were performed on clinical indication on a 1.5T MR scanner. Eighty-three patients were examined by acquiring 3 short-axis perfusion maps with 1RR sampling (3SAX/1RR); for which also 2RR maps were reconstructed. Additionally, in 103 patients 3 short-axis and 3 long-axis (LAX; 2-, 3, and 4-chamber view) perfusion maps were acquired using 2RR sampling (3SAX + 3LAX/2RR) and in 101 patients 6 short-axis perfusion maps using 2RR sampling (6SAX/2RR) were acquired. The diagnostic confidence for ruling in or out stress-induced ischemia was scored according to a Likert scale (certain ischemia [2 points], probably ischemia [1 point], uncertain [0 points], probably no ischemia [1 point], certain no ischemia [2 points]).</p><p><strong>Results: </strong>There was a strong correlation (R = 0.99) between 3SAX/1RR and 3SAX/2RR for global MP (mL/min/g). The diagnostic confidence score increased significantly when the number of perfusion views was increased from 3 to 6 (1.24 ± 0.68 vs 1.54 ± 0.64, p < 0.001 with similar increase for 3SAX+3LAX/2RR (1.29 ± 0.68 vs 1.55 ± 0.65, p < 0.001) and for 6SAX/2RR (1.19 ± 0.69 vs 1.53 ± 0.63, p < 0.001).</p><p><strong>Conclusion: </strong>Quantitative perfusion mapping with 2RR sampling of data yields comparable perfusion values as 1RR sampling, allowing for the acquisition of additional views within the same perfusion scan. The diagnostic confidence for stress-induced ischemia increases when adding 3 additional views, short- or long axes, to the conventional 3 short-axis views. Thus, future development and clinical implementation of quantitative CMR perfusion should aim at increasing the LV coverage from the current standard using 3 short-axis views.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101007"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11211224/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139691942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization. 晚期钆增强心脏磁共振成像的质量保证:深度学习分类器对异常存在与否的置信度,有望促进实时图像优化。
IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-01-01 Epub Date: 2024-03-24 DOI: 10.1016/j.jocmr.2024.101040
Sameer Zaman, Kavitha Vimalesvaran, Digby Chappell, Marta Varela, Nicholas S Peters, Hunain Shiwani, Kristopher D Knott, Rhodri H Davies, James C Moon, Anil A Bharath, Nick Wf Linton, Darrel P Francis, Graham D Cole, James P Howard
<p><strong>Background: </strong>Late gadolinium enhancement (LGE) of the myocardium has significant diagnostic and prognostic implications, with even small areas of enhancement being important. Distinguishing between definitely normal and definitely abnormal LGE images is usually straightforward, but diagnostic uncertainty arises when reporters are not sure whether the observed LGE is genuine or not. This uncertainty might be resolved by repetition (to remove artifact) or further acquisition of intersecting images, but this must take place before the scan finishes. Real-time quality assurance by humans is a complex task requiring training and experience, so being able to identify which images have an intermediate likelihood of LGE while the scan is ongoing, without the presence of an expert is of high value. This decision-support could prompt immediate image optimization or acquisition of supplementary images to confirm or refute the presence of genuine LGE. This could reduce ambiguity in reports.</p><p><strong>Methods: </strong>Short-axis, phase-sensitive inversion recovery late gadolinium images were extracted from our clinical cardiac magnetic resonance (CMR) database and shuffled. Two, independent, blinded experts scored each individual slice for "LGE likelihood" on a visual analog scale, from 0 (absolute certainty of no LGE) to 100 (absolute certainty of LGE), with 50 representing clinical equipoise. The scored images were split into two classes-either "high certainty" of whether LGE was present or not, or "low certainty." The dataset was split into training, validation, and test sets (70:15:15). A deep learning binary classifier based on the EfficientNetV2 convolutional neural network architecture was trained to distinguish between these categories. Classifier performance on the test set was evaluated by calculating the accuracy, precision, recall, F1-score, and area under the receiver operating characteristics curve (ROC AUC). Performance was also evaluated on an external test set of images from a different center.</p><p><strong>Results: </strong>One thousand six hundred and forty-five images (from 272 patients) were labeled and split at the patient level into training (1151 images), validation (247 images), and test (247 images) sets for the deep learning binary classifier. Of these, 1208 images were "high certainty" (255 for LGE, 953 for no LGE), and 437 were "low certainty". An external test comprising 247 images from 41 patients from another center was also employed. After 100 epochs, the performance on the internal test set was accuracy = 0.94, recall = 0.80, precision = 0.97, F1-score = 0.87, and ROC AUC = 0.94. The classifier also performed robustly on the external test set (accuracy = 0.91, recall = 0.73, precision = 0.93, F1-score = 0.82, and ROC AUC = 0.91). These results were benchmarked against a reference inter-expert accuracy of 0.86.</p><p><strong>Conclusion: </strong>Deep learning shows potential to automate quality control
背景:心肌晚期钆增强(LGE)具有重要的诊断和预后意义,即使是小范围的增强也很重要。通常可以直接将 LGE 图像区分为绝对正常和绝对异常;但当记者不能确定观察到的 LGE 是否真实时,就会产生诊断上的不确定性。这种不确定性可以通过重复(去除伪影)或进一步采集交叉图像来解决,但这必须在扫描结束前进行。由人工进行实时质量保证是一项复杂的任务,需要培训和经验,因此在扫描过程中,在没有专家在场的情况下,能够识别哪些图像具有 LGE 的中等可能性具有很高的价值。这种决策支持可促使立即优化图像或获取补充图像,以确认或反驳是否存在真正的 LGE。这可以减少报告中的歧义:方法:从我们的临床 CMR 数据库中提取短轴、相位敏感反转恢复(PSIR)晚期钆图像并进行洗牌。两名独立的盲法专家采用视觉模拟评分法对每个切片的 "LGE 可能性 "进行评分,评分范围从 0(绝对确定无 LGE)到 100(绝对确定有 LGE),50 代表临床等值。评分图像分为两类--是否存在 LGE 的 "高确定性 "或 "低确定性"。数据集分为训练集、验证集和测试集(70:15:15)。训练基于 EfficientNetV2 卷积神经网络架构的深度学习二元分类器来区分这些类别。通过计算准确率、精确度、召回率、F1 分数和接收器工作特性曲线下面积(ROC AUC),评估了分类器在测试集上的性能。此外,还对来自不同中心的外部图像测试集进行了性能评估:为深度学习二元分类器标注了 1645 幅图像(来自 272 名患者),并在患者级别上将其分为训练集(1151 幅图像)、验证集(247 幅图像)和测试集(247 幅图像)。其中,1208 张图像为 "高确定性"(255 张为 LGE,953 张为无 LGE),437 张为 "低确定性")。还采用了外部测试,包括来自另一个中心 41 名患者的 247 幅图像。经过 100 次历时后,内部测试集的表现为:准确率 = 94%,召回率 = 0.80,精确度 = 0.97,F1-分数 = 0.87,ROC AUC = 0.94。分类器在外部测试集上的表现也很稳健(准确率 = 91%,召回率 = 0.73,精确度 = 0.93,F1 分数 = 0.82,ROC AUC = 0.91)。这些结果是以 86% 的专家间参考准确率为基准得出的:深度学习显示了在 CMR 中自动进行后期钆成像质量控制的潜力。实时识别具有中等 LGE 可能性的短轴图像的能力可作为有用的决策支持工具。这种方法有可能在患者仍在扫描仪中时立即指导进一步成像,从而减少因诊断犹豫不决而导致的召回和不确定报告的频率。
{"title":"Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization.","authors":"Sameer Zaman, Kavitha Vimalesvaran, Digby Chappell, Marta Varela, Nicholas S Peters, Hunain Shiwani, Kristopher D Knott, Rhodri H Davies, James C Moon, Anil A Bharath, Nick Wf Linton, Darrel P Francis, Graham D Cole, James P Howard","doi":"10.1016/j.jocmr.2024.101040","DOIUrl":"10.1016/j.jocmr.2024.101040","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Late gadolinium enhancement (LGE) of the myocardium has significant diagnostic and prognostic implications, with even small areas of enhancement being important. Distinguishing between definitely normal and definitely abnormal LGE images is usually straightforward, but diagnostic uncertainty arises when reporters are not sure whether the observed LGE is genuine or not. This uncertainty might be resolved by repetition (to remove artifact) or further acquisition of intersecting images, but this must take place before the scan finishes. Real-time quality assurance by humans is a complex task requiring training and experience, so being able to identify which images have an intermediate likelihood of LGE while the scan is ongoing, without the presence of an expert is of high value. This decision-support could prompt immediate image optimization or acquisition of supplementary images to confirm or refute the presence of genuine LGE. This could reduce ambiguity in reports.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Short-axis, phase-sensitive inversion recovery late gadolinium images were extracted from our clinical cardiac magnetic resonance (CMR) database and shuffled. Two, independent, blinded experts scored each individual slice for \"LGE likelihood\" on a visual analog scale, from 0 (absolute certainty of no LGE) to 100 (absolute certainty of LGE), with 50 representing clinical equipoise. The scored images were split into two classes-either \"high certainty\" of whether LGE was present or not, or \"low certainty.\" The dataset was split into training, validation, and test sets (70:15:15). A deep learning binary classifier based on the EfficientNetV2 convolutional neural network architecture was trained to distinguish between these categories. Classifier performance on the test set was evaluated by calculating the accuracy, precision, recall, F1-score, and area under the receiver operating characteristics curve (ROC AUC). Performance was also evaluated on an external test set of images from a different center.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;One thousand six hundred and forty-five images (from 272 patients) were labeled and split at the patient level into training (1151 images), validation (247 images), and test (247 images) sets for the deep learning binary classifier. Of these, 1208 images were \"high certainty\" (255 for LGE, 953 for no LGE), and 437 were \"low certainty\". An external test comprising 247 images from 41 patients from another center was also employed. After 100 epochs, the performance on the internal test set was accuracy = 0.94, recall = 0.80, precision = 0.97, F1-score = 0.87, and ROC AUC = 0.94. The classifier also performed robustly on the external test set (accuracy = 0.91, recall = 0.73, precision = 0.93, F1-score = 0.82, and ROC AUC = 0.91). These results were benchmarked against a reference inter-expert accuracy of 0.86.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Deep learning shows potential to automate quality control","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101040"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11129090/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140207013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cardiovascular magnetic resonance characterization of myocardial tissue injury in a miniature swine model of cancer therapy-related cardiovascular toxicity. 癌症治疗相关心血管毒性微型猪模型心肌组织损伤的心脏磁共振特征描述
IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-01-01 Epub Date: 2024-03-07 DOI: 10.1016/j.jocmr.2024.101033
Kei Nakata, Selcuk Kucukseymen, Xiaoying Cai, Tuyen Yankama, Jennifer Rodriguez, Eiryu Sai, Patrick Pierce, Long Ngo, Shiro Nakamori, Nadine Tung, Warren J Manning, Reza Nezafat

Background: Left ventricular ejection fraction (LVEF) is the most commonly clinically used imaging parameter for assessing cancer therapy-related cardiac dysfunction (CTRCD). However, LVEF declines may occur late, after substantial injury. This study sought to investigate cardiovascular magnetic resonance (CMR) imaging markers of subclinical cardiac injury in a miniature swine model.

Methods: Female Yucatan miniature swine (n = 14) received doxorubicin (2 mg/kg) every 3 weeks for 4 cycles. CMR, including cine, tissue characterization via T1 and T2 mapping, and late gadolinium enhancement (LGE) were performed on the same day as doxorubicin administration and 3 weeks after the final chemotherapy cycle. In addition, magnetic resonance spectroscopy (MRS) was performed during the 3 weeks after the final chemotherapy in 7 pigs. A single CMR and MRS exam were also performed in 3 Yucatan miniature swine that were age- and weight-matched to the final imaging exam of the doxorubicin-treated swine to serve as controls. CTRCD was defined as histological early morphologic changes, including cytoplasmic vacuolization and myofibrillar loss of myocytes, based on post-mortem analysis of humanely euthanized pigs after the final CMR exam.

Results: Of 13 swine completing 5 serial CMR scans, 10 (77%) had histological evidence of CTRCD. Three animals had neither histological evidence nor changes in LVEF from baseline. No absolute LVEF <40% or LGE was observed. Native T1, extracellular volume (ECV), and T2 at 12 weeks were significantly higher in swine with CTRCD than those without CTRCD (1178 ms vs. 1134 ms, p = 0.002, 27.4% vs. 24.5%, p = 0.03, and 38.1 ms vs. 36.4 ms, p = 0.02, respectively). There were no significant changes in strain parameters. The temporal trajectories in native T1, ECV, and T2 in swine with CTRCD showed similar and statistically significant increases. At the same time, there were no differences in their temporal changes between those with and without CTRCD. MRS myocardial triglyceride content substantially differed among controls, swine with and without CTRCD (0.89%, 0.30%, 0.54%, respectively, analysis of variance, p = 0.01), and associated with the severity of histological findings and incidence of vacuolated cardiomyocytes.

Conclusion: Serial CMR imaging alone has a limited ability to detect histologic CTRCD beyond LVEF. Integrating MRS myocardial triglyceride content may be useful for detection of early potential CTRCD.

背景:左心室射血分数(LVEF)是评估癌症治疗相关心功能障碍(CTRCD)最常用的临床成像参数。然而,LVEF 的下降可能发生在晚期,即实质性损伤之后。本研究试图在微型猪模型中研究亚临床心脏损伤的心血管磁共振(CMR)成像标志物:雌性尤卡坦微型猪(n=14)接受多柔比星(2 毫克/千克)治疗,每 3 周一次,共 4 个周期。多柔比星给药当天和最后一个化疗周期结束后三周进行 CMR,包括 cine、通过 T1 和 T2 映射进行组织特征描述以及晚期钆增强(LGE)。此外,在最后一次化疗后的三周内,还对 7 头猪进行了磁共振波谱成像(MRS)检查。此外,还对 3 头尤卡坦微型猪进行了一次 CMR 和 MRS 检查,这些猪的年龄和体重与接受过多柔比星治疗的猪的最终成像检查相匹配,作为对照组。根据对最后一次 CMR 检查后人道安乐死的猪的尸检分析,CTRCD 被定义为组织学上的早期形态变化,包括细胞质空泡化和肌细胞的肌纤维损失:在完成五次连续 CMR 扫描的 13 头猪中,10 头(77%)有 CTRCD 的组织学证据。三头动物既没有组织学证据,也没有 LVEF 与基线相比的变化。12 周时,有 CTRCD 的猪的 LVEF 1、细胞外容积 (ECV) 和 T2 绝对值均显著高于无 CTRCD 的猪(分别为 1178 ms 对 1134 ms,p=0.002;27.4% 对 24.5%,p=0.03;38.1 ms 对 36.4 ms,p=0.02)。应变参数没有明显变化。患有 CTRCD 的猪的原生 T1、ECV 和 T2 的时间轨迹显示出相似且具有统计学意义的增加。同时,有 CTRCD 和没有 CTRCD 的猪在时间变化上没有差异。MRS 心肌甘油三酯含量在对照组、CTRCD 患猪和非 CTRCD 患猪之间存在显著差异(分别为 0.89%、0.30%、0.54%,方差分析,P=0.01),并与组织学结果的严重程度和空泡化心肌细胞的发生率相关:结论:仅凭序列CMR成像检测LVEF以外的组织学CTRCD能力有限。综合 MRS 心肌甘油三酯含量可能有助于检测早期潜在的 CTRCD。
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引用次数: 0
Three-dimensional aortic geometry mapping via registration of non-gated contrast-enhanced or gated and respiratory-navigated MR angiographies. 通过对非门控造影剂增强或门控和呼吸导航磁共振血管造影进行配准,绘制三维主动脉几何图形。
IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-01-01 Epub Date: 2024-01-10 DOI: 10.1016/j.jocmr.2024.100992
Lydia Dux-Santoy, Jose F Rodríguez-Palomares, Gisela Teixidó-Turà, Juan Garrido-Oliver, Alejandro Carrasco-Poves, Alberto Morales-Galán, Aroa Ruiz-Muñoz, Guillem Casas, Filipa Valente, Laura Galian-Gay, Rubén Fernández-Galera, Ruperto Oliveró, Hug Cuéllar-Calabria, Albert Roque, Gemma Burcet, José A Barrabés, Ignacio Ferreira-González, Andrea Guala

Background: The measurement of aortic dimensions and their evolution are key in the management of patients with aortic diseases. Manual assessment, the current guideline-recommended method and clinical standard, is subjective, poorly reproducible, and time-consuming, limiting the capacity to track aortic growth in everyday practice. Aortic geometry mapping (AGM) via image registration of serial computed tomography angiograms outperforms manual assessment, providing accurate and reproducible 3D maps of aortic diameter and growth rate. This observational study aimed to evaluate the accuracy and reproducibility of AGM on non-gated contrast-enhanced (CE-) and cardiac- and respiratory-gated (GN-) magnetic resonance angiographies (MRA).

Methods: Patients with thoracic aortic disease followed with serial CE-MRA (n = 30) or GN-MRA (n = 15) acquired at least 1 year apart were retrospectively and consecutively identified. Two independent observers measured aortic diameters and growth rates (GR) manually at several thoracic aorta reference levels and with AGM. Agreement between manual and AGM measurements and their inter-observer reproducibility were compared. Reproducibility for aortic diameter and GR maps assessed with AGM was obtained.

Results: Mean follow-up was 3.8 ± 2.3 years for CE- and 2.7 ± 1.6 years for GN-MRA. AGM was feasible in the 93% of CE-MRA pairs and in the 100% of GN-MRA pairs. Manual and AGM diameters showed excellent agreement and inter-observer reproducibility (ICC>0.9) at all anatomical levels. Agreement between manual and AGM GR was more limited, both in the aortic root by GN-MRA (ICC=0.47) and in the thoracic aorta, where higher accuracy was obtained with GN- than with CE-MRA (ICC=0.55 vs 0.43). The inter-observer reproducibility of GR by AGM was superior compared to manual assessment, both with CE- (thoracic: ICC= 0.91 vs 0.51) and GN-MRA (root: ICC=0.84 vs 0.52; thoracic: ICC=0.93 vs 0.60). AGM-based 3D aortic size and growth maps were highly reproducible (median ICC >0.9 for diameters and >0.80 for GR).

Conclusion: Mapping aortic diameter and growth on MRA via 3D image registration is feasible, accurate and outperforms the current manual clinical standard. This technique could broaden the possibilities of clinical and research evaluation of patients with aortic thoracic diseases.

背景:主动脉尺寸的测量及其演变是治疗主动脉疾病患者的关键。人工评估是目前指南推荐的方法和临床标准,但这种方法主观性强、可重复性差、耗时长,限制了在日常实践中跟踪主动脉生长的能力。通过对连续计算机断层扫描血管造影进行图像注册绘制的主动脉几何图形(AGM)优于人工评估,可提供准确且可重复的主动脉直径和生长速度三维图。这项观察性研究旨在评估 AGM 在非门控造影剂增强(CE-)和心脏与呼吸门控(GN-)磁共振血管造影(MRA)上的准确性和可重复性:方法:回顾性地连续确定了连续获得 CE-MRA (30 人)或 GN-MRA (15 人)的胸主动脉疾病患者。两名独立的观察者在几个胸主动脉参考水平上手动测量主动脉直径和生长率 (GR),并使用 AGM 测量。比较了人工测量和 AGM 测量之间的一致性及其观察者之间的再现性。结果:CE-MRA和GN-MRA的平均随访时间分别为3.8±2.3年和2.7±1.6年。93%的 CE-MRA 成对和 100% 的 GN-MRA 成对均可进行 AGM。在所有解剖层面上,手动和 AGM 直径显示出极好的一致性和观察者间的可重复性(ICC>0.9)。在主动脉根部的 GN-MRA(ICC=0.47)和胸主动脉,手动和 AGM GR 之间的一致性较为有限,在胸主动脉,GN-比 CE-MRA 获得更高的准确性(ICC=0.55 对 0.43)。与人工评估相比,AGM 对 GR 的观察者间可重复性更好,CE-(胸部:ICC= 0.91 vs 0.51)和 GN-MRA(根部:ICC=0.84 vs 0.52;胸部:ICC=0.93 vs 0.60)均是如此。基于 AGM 的三维主动脉大小和生长图具有很高的可重复性(直径的中位 ICC >0.9,GR >0.80):结论:通过三维图像配准在 MRA 上绘制主动脉直径和生长图是可行的、准确的,并且优于目前的手动临床标准。这项技术可拓宽胸主动脉疾病患者的临床和研究评估范围。
{"title":"Three-dimensional aortic geometry mapping via registration of non-gated contrast-enhanced or gated and respiratory-navigated MR angiographies.","authors":"Lydia Dux-Santoy, Jose F Rodríguez-Palomares, Gisela Teixidó-Turà, Juan Garrido-Oliver, Alejandro Carrasco-Poves, Alberto Morales-Galán, Aroa Ruiz-Muñoz, Guillem Casas, Filipa Valente, Laura Galian-Gay, Rubén Fernández-Galera, Ruperto Oliveró, Hug Cuéllar-Calabria, Albert Roque, Gemma Burcet, José A Barrabés, Ignacio Ferreira-González, Andrea Guala","doi":"10.1016/j.jocmr.2024.100992","DOIUrl":"10.1016/j.jocmr.2024.100992","url":null,"abstract":"<p><strong>Background: </strong>The measurement of aortic dimensions and their evolution are key in the management of patients with aortic diseases. Manual assessment, the current guideline-recommended method and clinical standard, is subjective, poorly reproducible, and time-consuming, limiting the capacity to track aortic growth in everyday practice. Aortic geometry mapping (AGM) via image registration of serial computed tomography angiograms outperforms manual assessment, providing accurate and reproducible 3D maps of aortic diameter and growth rate. This observational study aimed to evaluate the accuracy and reproducibility of AGM on non-gated contrast-enhanced (CE-) and cardiac- and respiratory-gated (GN-) magnetic resonance angiographies (MRA).</p><p><strong>Methods: </strong>Patients with thoracic aortic disease followed with serial CE-MRA (n = 30) or GN-MRA (n = 15) acquired at least 1 year apart were retrospectively and consecutively identified. Two independent observers measured aortic diameters and growth rates (GR) manually at several thoracic aorta reference levels and with AGM. Agreement between manual and AGM measurements and their inter-observer reproducibility were compared. Reproducibility for aortic diameter and GR maps assessed with AGM was obtained.</p><p><strong>Results: </strong>Mean follow-up was 3.8 ± 2.3 years for CE- and 2.7 ± 1.6 years for GN-MRA. AGM was feasible in the 93% of CE-MRA pairs and in the 100% of GN-MRA pairs. Manual and AGM diameters showed excellent agreement and inter-observer reproducibility (ICC>0.9) at all anatomical levels. Agreement between manual and AGM GR was more limited, both in the aortic root by GN-MRA (ICC=0.47) and in the thoracic aorta, where higher accuracy was obtained with GN- than with CE-MRA (ICC=0.55 vs 0.43). The inter-observer reproducibility of GR by AGM was superior compared to manual assessment, both with CE- (thoracic: ICC= 0.91 vs 0.51) and GN-MRA (root: ICC=0.84 vs 0.52; thoracic: ICC=0.93 vs 0.60). AGM-based 3D aortic size and growth maps were highly reproducible (median ICC >0.9 for diameters and >0.80 for GR).</p><p><strong>Conclusion: </strong>Mapping aortic diameter and growth on MRA via 3D image registration is feasible, accurate and outperforms the current manual clinical standard. This technique could broaden the possibilities of clinical and research evaluation of patients with aortic thoracic diseases.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"100992"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11211222/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139424900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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Journal of Cardiovascular Magnetic Resonance
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