Journal of cardiovascular computed tomography最新文献

{"title":"Pulmonary atresia with bilateral major aortopulmonary collaterals and ventricular septal defect.","authors":"Yuhan Zhou, Limin Lei, Xiaoxu Guo, Songwei Yue","doi":"10.1016/j.jcct.2025.06.010","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.06.010","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coronary computed tomography angiography radiomics for predicting major adverse cardiovascular events after percutaneous coronary interventions.","authors":"Soichi Komaki, Yunosuke Matsuura, Yoshikazu Uchiyama, Shintaro Izumoto, Hiroki Tanaka, Masashi Yamaguchi, Kohei Moribayashi, Kazumasa Kurogi, Nobuyasu Yamamoto, Michikazu Nakai, Koichi Kaikita","doi":"10.1016/j.jcct.2025.06.008","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.06.008","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geographical distribution and accessibility to cardiac CT readers in the United States: A snapshot from the 2022 medicare analysis.","authors":"Ahmad El Yaman, Alaaeddine El Ghazawi, Ahmed Sayed, Maria Alwan, Asim Shaikh, Mahmoud Al Rifai, Leslee J Shaw, Maros Ferencik, Mouaz H Al-Mallah","doi":"10.1016/j.jcct.2025.06.011","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.06.011","url":null,"abstract":"<p><strong>Background: </strong>Cardiac computed tomography (CCT) is an increasingly important modality for the diagnosis and management of cardiovascular diseases. However, disparities in the availability of trained CCT readers across the United States limit equal access.</p><p><strong>Objective: </strong>This study examined the geographical distribution and characteristics of CCT readers who billed Medicare for CCT in 2022.</p><p><strong>Methods: </strong>Data from the 2022 Medicare Part B and Medicare Doctors and Clinicians datasets were analyzed to determine the number, specialties, gender, year of graduation, and geographical locations of CCT readers, and the volume of scans.</p><p><strong>Results: </strong>A total of 242,538 scans were billed in 2022, of which 194,895 (80.4 ​%) were performed by 3,179 CCT readers interpreting 11 or more studies. Sixty-eight percent of readers were radiologists and 32 ​% were cardiologists. Significant geographic disparities were observed in reader density, with some regions such as Puerto Rico having as few as 1.31 readers per million Medicare beneficiaries, while the District of Columbia had the highest density (147.99 per million). Female representation among CCT readers remained low, with women accounting for 14 ​% of readers. In addition, approximately 15.7 million US residents were located more than 50 miles away from the nearest CCT reader.</p><p><strong>Conclusion: </strong>The findings highlight significant geographical disparities in access to qualified CCT readers, with millions of citizens living more than 50 miles from the nearest reader. Additionally, there is a marked imbalance in female representation among CCT readers.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is coronary computed tomography angiography the ideal modality for assessing the interplay between coronary physiology and plaque pathobiology.","authors":"Anantharaman Ramasamy, Tom Crake, Patrick W Serruys, Christos V Bourantas","doi":"10.1016/j.jcct.2025.06.006","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.06.006","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144510063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First use of CT pulmonary angiography and fluoroscopy fusion during thrombectomy in acute pulmonary embolism.","authors":"Octavio Jiménez Melo, Raúl Ramallal, Alberto Vera, Pablo Bazal, Guillermo Sánchez, David Conty, Valeriano Ruiz-Quevedo, Virginia Álvarez","doi":"10.1016/j.jcct.2025.06.003","DOIUrl":"10.1016/j.jcct.2025.06.003","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the silent echoes: Multiple sinus of valsalva aneurysms as a rare cardiac imprint of Takayasu arteritis depicted on CT angiography.","authors":"Pooja Aggarwal, Resham Singh, Kavita Vani","doi":"10.1016/j.jcct.2025.06.004","DOIUrl":"10.1016/j.jcct.2025.06.004","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of physiological principles of Non-Invasive fractional flow reserve derived from CT coronary angiography.","authors":"Jasmine Chan, Abdul R Ihdayhid, Harsh V Thakkar, Michael Michail, Michael Leung, Udit Thakur, Andrea Comella, Sean Tan, James D Cameron, Nitesh Nerlekar, Sujith Seneviratne, Stephen Nicholls, Brian Ko, Habib Samady, Adam J Brown","doi":"10.1016/j.jcct.2025.05.240","DOIUrl":"10.1016/j.jcct.2025.05.240","url":null,"abstract":"<p><strong>Background: </strong>Coronary computed tomography angiography (CTA) simulation of fractional flow reserve (FFR) is derived from allometric and morphometric scaling principles, allowing inference of physiological parameters from anatomical measures like left-ventricular (LV) mass and coronary luminal dimensions. Validity of these assumptions in humans remains uncertain, with supporting data derived from animal models.</p><p><strong>Methods: </strong>Twenty-two patients with non-obstructive coronary artery disease underwent proximal-LAD intravascular ultrasound (IVUS) and Combowire assessment at rest and hyperemia. Coronary volumetric flow (Q, cm³/sec) was derived from average baseline peak-velocity (cm/sec) x IVUS cross-sectional-area (cm²). Baseline microvascular resistance (BMVR, mmHg/cm²) was calculated: distal coronary pressure (mmHg) - right atrial pressure (mmHg) divided by Q. Patients underwent same-day CTA to provide quantitative measures including LV mass (g), cumulative coronary luminal volume (mm³) and vessel length (mm). Relationships between quantitative CTA-derived metrics and invasive physiology were evaluated using Pearson's correlation.</p><p><strong>Results: </strong>Mean FFR was 0.94 ​± ​0.06; median coronary flow reserve velocity was 2.54 [IQR 2.1-3.1]. Baseline Q and BMVR were 2.30 ​± ​1.0 ​cm³/s and 44.6 ​± ​21.6 ​mmHg/cm², respectively. Average LV-mass was 148.6 ​± ​30.6g, coronary luminal volume 1038.6 ​± ​485.2 ​mm³ and vessel length 184.5 ​± ​66.8 ​mm. LV mass correlated strongest with coronary flow (r ​= ​0.87, p ​< ​0.001) followed by vessel length (r ​= ​0.75, p ​< ​0.0001) and coronary luminal volume (r ​= ​0.73, p ​< ​0.001). The scaling coefficient (1.87) significantly differed from experimental data. CT-derived metrics demonstrated strong negative correlation with BMVR (LV mass -0.70, coronary luminal volume -0.70, vessel length -0.76; P ​< ​0.0001 respectively).</p><p><strong>Conclusion: </strong>These findings support deriving coronary flow and microvascular resistance from CTA anatomical metrics. Revised scaling coefficients and hyperemic modelling could enhance CTA-derived FFR diagnostic performance.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lumen-isodense coronary plaque - A challenge for coronary computed tomography (CTA), leading to inaccuracies in stenosis grading?","authors":"Gudrun M Feuchtner, Pietro G Lacaita, Johannes Deeg, Yannick Scharll, Anna Luger, Fabian Barbieri, Gerlig Widmann, Martin Reindl, Guy Friedrich, Bernhard Metzler, Axel Bauer, Sebastian Reinstadler","doi":"10.1016/j.jcct.2025.06.005","DOIUrl":"10.1016/j.jcct.2025.06.005","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Roadmap analysis for coronary artery stenosis detection and percutaneous coronary intervention prediction in cardiac CT for transcatheter aortic valve replacement.","authors":"Hidesato Fujito, Hasan Jilaihawi, Donghee Han, Heidi Gransar, Hidenobu Hashimoto, Sung Woo Cho, Sunam Lee, Bashaer Gheyath, Rebekah H Park, Dhairya Patel, Yuchao Guo, Alan C Kwan, Sean W Hayes, Louise E J Thomson, Piotr J Slomka, Damini Dey, Raj Makkar, John D Friedman, Daniel S Berman","doi":"10.1016/j.jcct.2025.06.002","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.06.002","url":null,"abstract":"<p><strong>Background: </strong>The new artificial intelligence-based software, Roadmap (HeartFlow), may assist in evaluating coronary artery stenosis during cardiac computed tomography (CT) for transcatheter aortic valve replacement (TAVR).</p><p><strong>Methods: </strong>Consecutive TAVR candidates who underwent both cardiac CT angiography (CTA) and invasive coronary angiography were enrolled. We evaluated the ability of three methods to predict obstructive coronary artery disease (CAD), defined as ≥50 ​% stenosis on quantitative coronary angiography (QCA), and the need for percutaneous coronary intervention (PCI) within one year: Roadmap, clinician CT specialists with Roadmap, and CT specialists alone.</p><p><strong>Results: </strong>The area under the curve (AUC) for predicting QCA ≥50 ​% stenosis was similar for CT specialists with or without Roadmap (0.93 [0.85-0.97] vs. 0.94 [0.88-0.98], p ​= ​0.82), both significantly higher than Roadmap alone (all p ​< ​0.05). For PCI prediction, no significant differences were found between QCA and CT specialists, with or without Roadmap, while Roadmap's AUC was lower (all p ​< ​0.05). The negative predictive value (NPV) of CT specialists with Roadmap for ≥50 ​% stenosis was 97 ​%, and for PCI prediction, the NPV was comparable to QCA (p ​= ​1.00). In contrast, the positive predictive value (PPV) of Roadmap alone for ≥50 ​% stenosis was 49 ​%, the lowest among all approaches, with a similar trend observed for PCI prediction.</p><p><strong>Conclusions: </strong>While Roadmap alone is insufficient for clinical decision-making due to low PPV, Roadmap may serve as a \"second observer\", providing a supportive tool for CT specialists by flagging lesions for careful review, thereby enhancing workflow efficiency and maintaining high diagnostic accuracy with excellent NPV.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144318981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of cardiac phase selection on computational fluid dynamics analysis.","authors":"Jin Zheng, Xinxin Yu, Quanlin Sun, Yuan Huang, Yang Chen, Lin Gao, Ao Zhou, Jinhua Shen, Wenshan Ma, Jonathan R Weir-McCall, Umar Sadat, Longjiang Zhang, Zhongzhao Teng, Ximing Wang","doi":"10.1016/j.jcct.2025.06.001","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.06.001","url":null,"abstract":"<p><strong>Background: </strong>The selection of cardiac phase in coronary computed tomography angiography (CCTA) may affect computational fluid dynamics (CFD)-derived hemodynamic metrics; however, this influence is not well-quantified, particularly in anomalous coronary anatomies. This study aims to evaluate how cardiac phase selection impacts CFD outcomes in normal and anomalous coronary arteries.</p><p><strong>Methods: </strong>Multiphase CCTA datasets were analyzed from 40 patients: 30 with systolic and diastolic reconstructions (10 inter-arterial anomalous right coronary artery [ARCA], 10 myocardial bridging [MB], 10 normal) and 10 additional normals with mid-diastolic and diastolic reconstructions. Geometric differences among phases were measured. CFD-derived parameters, including time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), relative residence time (RRT), and CCTA-derived fractional flow reserve (CT-FFR), were calculated. Phase-dependency was assessed by (i) comparing proximal right coronary artery (pRCA) and proximal left anterior descending artery (pLAD) measurements in normal systole vs. diastole and mid-diastole vs. diastole; (ii) comparing pRCA measurements in ARCA vs. normal, and pLAD measurements in MB vs. normal, for systole and diastole.</p><p><strong>Results: </strong>Luminal area differences among phases in pRCA and pLAD segments demonstrated group-distance interactions (p ​< ​0.05). Absolute relative differences in OSI were significantly smaller in pLAD for MB group (median 5.31% [IQR 2.61%-7.46%]) versus normal group (15.99% [6.23%-31.98%]; p ​= ​0.0125). While TAWSS, OSI, and RRT exhibited phase-dependency, this was neither specific to patient cohorts nor coronary artery territories. The variation of relative differences in CT-FFR (maximum 2.4%) was generally lower than that in TAWSS (21.3%), OSI (63.9%), and RRT (28.1%), with all relative differences of the four parameters showing no significant variation from zero.</p><p><strong>Conclusion: </strong>The coronary geometry showed clear phase-dependency. The phase dependency should not be ignored when CCTA is used to quantify TAWSS, OSI and RRT. Standardizing cardiac phase selection in CCTA-based CFD analyses is crucial for improving accuracy and clinical consistency.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}