The international journal of cardiovascular imaging最新文献

{"title":"Real-world application of CCTA with CT-FFR for coronary assessment pre-TAVI: the CT2TAVI study.","authors":"Kifah Hussain, Kevin Lee, Iva Minga, Lucas Wathen, Senthil S Balasubramanian, Natasha Vyas, Lavisha Singh, Mrinali Shetty, Jonathan R Rosenberg, Justin P Levisay, Ilya Karagodin, Jared Liebelt, Robert R Edelman, Mark J Ricciardi, Amit Pursnani","doi":"10.1007/s10554-025-03333-w","DOIUrl":"10.1007/s10554-025-03333-w","url":null,"abstract":"<p><p>This study aims to evaluate the implementation of concomitant CAD assessment on pre-TAVI (transcatheter aortic valve implantation) planning CTA (CT angiography) aided by CT-FFR (CT-fractional flow reserve) [The CT2TAVI protocol] and investigates the incremental value of CT-FFR to coronary CT angiography (CCTA) alone in the evaluation of patients undergoing CT2TAVI. This is a prospective observational real-world cohort study at an academic health system on consecutive patients who underwent CTA for TAVI planning from 1/2021 to 6/2022. This represented a transition period in our health system, from not formally reporting CAD on pre-TAVI planning CTA (Group A) to routinely reporting CAD on pre-TAVI CTA (Group B; CT2TAVI protocol). All CTAs were retrospective ECG-gated using a dual source 192 slice CT scanner without nitrate or intravenous beta blocker premedication. We assessed downstream ICA and revascularization pre-TAVI and clinical outcomes 30 days and 1 year post-TAVI in both groups. 307 patients were included with 199 patients in Group A and 108 patients in Group B. In Group B, ICA was performed pre-TAVI in only 40.7% of patients. The use of CT-FFR, which was primarily aimed at identifying hemodynamically significant proximal vessel disease, helped avoid downstream invasive testing for 60.5% (23/38) of patients who were deemed to have obstructive proximal vessel disease using CCTA alone or had one or more uninterpretable proximal segments using CCTA. All-cause mortality, cardiovascular mortality, myocardial infarction and need for revascularization at 1-year post-TAVI were comparable between groups with a higher trend toward heart failure hospitalizations in Group A. Routine ICA can safely be deferred pre-TAVI, with the CT2TAVI strategy using modern CT scanners aided by CT-FFR analysis.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"523-535"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143070149","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":"Ability of dynamic chest radiography to identify left ventricular systolic dysfunction in heart failure.","authors":"Hiroaki Hiraiwa, Shin Nagai, Ryota Ito, Kiyota Kondo, Shingo Kazama, Toru Kondo, Shiro Adachi, Kenji Furusawa, Akihito Tanaka, Ryota Morimoto, Takahiro Okumura, Toyoaki Murohara","doi":"10.1007/s10554-025-03332-x","DOIUrl":"10.1007/s10554-025-03332-x","url":null,"abstract":"<p><p>Dynamic chest radiography (DCR) can estimate haemodynamic parameters in heart failure (HF). However, no studies have evaluated its ability to determine cardiac systolic function in HF. This experimental study investigates the correlation between left ventricular (LV) ejection fraction (LVEF) and DCR image parameters in HF. Ninety-one patients with acute HF (median age, 58 years; males, 75%) (cardiologist diagnosis using the Framingham criteria) underwent DCR and transthoracic echocardiography after treatment for the uncompensated phase of HF. The LV apex pixel value (PV) change was measured by DCR. Correlations between the PV change and LVEF, as well as sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of DCR, were evaluated. LVEF and LV apex PV change were correlated in all patients (R = 0.428, P < 0.001) and in patients with LVEF < 50% (n = 38; R = 0.355, P = 0.029), < 40% (n = 31; R = 0.343, P = 0.059), and < 30% (n = 23; R = 0.321, P = 0.135). There was no significant correlation for patients with LVEF ≥ 50% (n = 53; R = - 0.004, P = 0.980). The LV apex PV change rate cutoff values for identifying LVEF < 50%, < 40%, and < 30% were 9.3% (AUC: 0.761, sensitivity: 0.698, specificity: 0.789, P < 0.001), 5.5% (AUC: 0.765, sensitivity: 0.883, specificity: 0.645, P < 0.001), and 5.5% (AUC: 0.767, sensitivity: 0.838, specificity: 0.696, P < 0.001), respectively. DCR may be useful to identify LV systolic dysfunction based on LVEF in acute HF.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"507-521"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880156/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143043159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A practical guide and review of the literature on zero-fluoroscopy electrophysiology catheter navigation by intracardiac echocardiography.","authors":"Blerim Luani, Rüdiger C Braun-Dullaeus","doi":"10.1007/s10554-024-03275-9","DOIUrl":"10.1007/s10554-024-03275-9","url":null,"abstract":"<p><p>Navigation of electrophysiology (EP) catheters using intracardiac echocardiography (ICE) is an emerging technique to avoid fluoroscopy and simplify EP procedures. It enables zero-fluoroscopy catheter ablation of most common arrhythmias such as atrial fibrillation, atrioventricular-nodal-reentry-tachycardia, or cavotricuspid isthmus-dependent atrial flutter. In this practical guide, we share our experience and illustrate the principles as well as common manoeuvres for endovascular and intracardiac EP catheter navigation relying solely on ICE visualisation. We also review the available data and highlight the topics which require further investigation in this field.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"397-407"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635443","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":"Characterization of epicardial adipose tissue thickness and structure by ultrasound radiomics in acute and chronic coronary patients.","authors":"Manel Abbassi, Bouthaina Besbes, Noomene Elkadri, Salmen Hachicha, Selim Boudiche, Foued Daly, Manel Ben Halima, Zeynab Jebberi, Sana Ouali, Fathia Mghaieth","doi":"10.1007/s10554-025-03329-6","DOIUrl":"10.1007/s10554-025-03329-6","url":null,"abstract":"<p><p>We hypothesize that epicardial adipose tissue (EAT) structure differs between patients with coronary disease and healthy individuals and that EAT may undergo changes during an acute coronary syndrome (ACS). This study aimed to investigate EAT thickness (EATt) and structure using ultrasound radiomics in patients with ACS, patients with chronic coronary syndrome (CCS), and controls and compare the findings between the three groups. This prospective monocentric comparative cohort study included three patient groups: ACS, CCS, and asymptomatic controls. EATt was assessed using transthoracic echocardiography. Geometrical features (as mean gray value and raw integrated density) and texture features (as angular second moment, contrast and correlation) were computed from grayscale Tagged Image File Format biplane images using ImageJ software. EATt did not significantly differ between the ACS group (8.14 ± 3.17 mm) and the control group (6.92 ± 2.50 mm), whereas CCS patients (9.96 ± 3.19 mm) had significantly thicker EAT compared to both the ACS group (p = 0.025) and the control group (p < 0.001). Radiomics analysis revealed differences in geometrical parameters with discriminatory capabilities between both ACS group and controls and CCS group and controls. A multivariate analysis comparing ACS and CCS patients revealed that differences in EAT characteristics were significant only in patients with a body mass index below 26.25 kg/m². In this subgroup, patients older than 68 exhibited a higher modal gray value (p = 0.016), whereas those younger than 68 had a lower minimum gray value (p = 0.05). Radiomic analysis highlights its potential in developing imaging biomarkers for early diagnosis and coronary artery disease progression monitoring.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"477-488"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367218","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":"Pre-distance assessment from radial artery to lower extremity arterial lesion.","authors":"Arata Sano, Takeshi Sugimoto, Tomoya Iwasaki, Tomonori Miki, Shigeki Takai, Noriyuki Wakana, Kan Zen, Hiroyuki Yamada, Satoaki Matoba","doi":"10.1007/s10554-025-03328-7","DOIUrl":"10.1007/s10554-025-03328-7","url":null,"abstract":"<p><p>Endovascular treatment (EVT) for patients with lower extremity artery disease is widely used as a less invasive alternative to surgical bypass. Recently, transradial artery intervention has gained popularity owing to its minimally invasive nature. The distance from the radial artery to the target vessel is critical for success; however, effective pre-assessment methods have not yet been established. This study aimed to evaluate the usefulness of predistance measurements from the left radial artery using simple computed tomography (CT) images. In this study, distance measurements were performed from the left radial artery to the left and right iliac artery bifurcations and from the left radial artery to the common femoral artery at the upper femoral border. These distances, measured using CT images before and after the lower-extremity contrast study, were compared with the distances identified during the lower-extremity contrast study. Distances measured using simple CT images showed a high correlation with the distances identified during the lower-extremity contrast examination (r = 0.9317, p < 0.0001; from the left radial artery to the left and right iliac artery bifurcation; r = 0.9402, p < 0.0001; and from the left radial artery to the right common femoral artery at the upper femoral border). Our results suggest that pre-distance measurement using simple CT images can be a useful tool for EVT using the left radial artery approach. Although future large-scale studies are required, this technique merits consideration owing to its widespread adoption in clinical practice.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"467-475"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880034/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142960877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retrospective temporal resolution interpolation alters myocardial strain quantification on compressed sensing cine CMR.","authors":"Leonard Grob, Yann Schwerzmann, Dario Kaiser, Bernd Jung, Thilo Schweizer, Stefan P Huettenmoser, Scilla Dozio, Adrian T Huber, Martina Boscolo Berto, Christoph Gräni, Dominik P Guensch, Kady Fischer","doi":"10.1007/s10554-025-03348-3","DOIUrl":"10.1007/s10554-025-03348-3","url":null,"abstract":"<p><p>Compressed sensing (CS) is a rapidly developing technique that can acquire functional cines of the heart within seconds while free-breathing and it is ideal for assessing cardiac function in non-typical conditions such as when patients are sedated or anaesthetized or undergoing stress exams. CS cines can further include retrospective temporal resolution interpolation (INTP_TR) to improve the frame count per heartbeat, and the impact of INTP_TR on biventricular functional measurements is unknown. We investigated the impact of INTP_TR on left and right ventricular volumetry and strain measurements of CS cines. Nineteen patients with 51 different CS acquisitions were prospectively enrolled. CS cines were acquired at rest, under adenosine stress, oxygen inhalation or while under general anaesthesia with mechanical ventilation. From the same CS acquisition, a dataset with and without INTP_TR were generated by the scanner. The outputs were separated and analysed by blinded readers for left and right ventricular volumetry, as well as systolic and diastolic strain parameters using feature-tracking techniques. Measurements were compared between the INTP_TR and non-INTP_TR outputs. Similar measurements were obtained for biventricular volumes and ejection fraction independent of INTP_TR. Peak strain was significantly underestimated on INTP_TR cines for both longitudinal and circumferential orientations (p < 0.01). Nevertheless, good-to-excellent correlations were observed between the two measurements (r > 0.65, p < 0.01), and there was still a high area under the curve (AUC ≥ 0.95, p < 0.01) for detecting abnormal patients defined by strain analysis on the standard segmented cine. INTP_TR especially negatively influenced strain rates analysis, as many strain rate curves were deemed unusable with this technique. These findings were consistent independent if the patient was in a resting, stress or anaesthetized condition. Although INTP_TR is a feature which improves temporal resolution on CS cines, quantification of biventricular strain and strain rates is not feasible or comparable, thus, feature tracking analysis should be performed on non-INTP_TR data. However, volumetry and ejection fraction analysis are consistent independent of which output is analysed.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"591-602"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880142/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143426736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of temporal resolution on calcium scoring: insights from photon-counting detector CT.","authors":"Thomas Sartoretti, Victor Mergen, Amina Dzaferi, Thomas Allmendinger, Robert Manka, Hatem Alkadhi, Matthias Eberhard","doi":"10.1007/s10554-024-03070-6","DOIUrl":"10.1007/s10554-024-03070-6","url":null,"abstract":"<p><p>To intra-individually investigate the variation of coronary artery calcium (CAC), aortic valve calcium (AVC), and mitral annular calcium (MAC) scores and the presence of blur artifacts as a function of temporal resolution in patients undergoing non-contrast cardiac CT on a dual-source photon counting detector (PCD) CT. This retrospective, IRB-approved study included 70 patients (30 women, 40 men, mean age 78 ± 9 years) who underwent ECG-gated cardiac non-contrast CT with PCD-CT (gantry rotation time 0.25 s) prior to transcatheter aortic valve replacement. Each scan was reconstructed at a temporal resolution of 66 ms using the dual-source information and at 125 ms using the single-source information. Average heart rate and heart rate variability were calculated from the recorded ECG. CAC, AVC, and MAC were quantified according to the Agatston method on images with both temporal resolutions. Two readers assessed blur artifacts using a 4-point visual grading scale. The influence of average heart rate and heart rate variability on calcium quantification and blur artifacts of the respective structures were analyzed by linear regression analysis. Mean heart rate and heart rate variability during data acquisition were 76 ± 17 beats per minute (bpm) and 4 ± 6 bpm, respectively. CAC scores were smaller on 66 ms (median, 511; interquartile range, 220-978) than on 125 ms reconstructions (538; 203-1050, p < 0.001). Median AVC scores [2809 (2009-3952) versus 3177 (2158-4273)] and median MAC scores [226 (0-1284) versus 251 (0-1574)] were also significantly smaller on 66ms than on 125ms reconstructions (p < 0.001). Reclassification of CAC and AVC risk categories occurred in 4% and 11% of cases, respectively, whereby the risk category was always overestimated on 125ms reconstructions. Image blur artifacts were significantly less on 66ms as opposed to 125 ms reconstructions (p < 0.001). Intra-individual analyses indicate that temporal resolution significantly impacts on calcium scoring with cardiac CT, with CAC, MAC, and AVC being overestimated at lower temporal resolution because of increased motion artifacts eventually leading to an overestimation of patient risk.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"615-625"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880162/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139934959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated stenosis estimation of coronary angiographies using end-to-end learning.","authors":"Christian Kim Eschen, Karina Banasik, Anders Bjorholm Dahl, Piotr Jaroslaw Chmura, Peter Bruun-Rasmussen, Frants Pedersen, Lars Køber, Thomas Engstrøm, Morten Bøttcher, Simon Winther, Alex Hørby Christensen, Henning Bundgaard, Søren Brunak","doi":"10.1007/s10554-025-03324-x","DOIUrl":"10.1007/s10554-025-03324-x","url":null,"abstract":"<p><p>The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consuming and costly. Applying deep learning might yield a faster and more accurate stenosis assessment. We developed a deep learning model to classify cine loops into left or right coronary artery (LCA/RCA) or \"other\". Data were obtained by manual annotation. Using these classifications, cine loops before revascularization were identified and curated automatically. Separate deep learning models for LCA and RCA were developed to estimate stenosis using these identified cine loops. From a cohort of 19,414 patients and 332,582 cine loops, we identified cine loops for 13,480 patients for model development and 5056 for internal testing. External testing was conducted using automated identified cine loops from 608 patients. For identification of significant stenosis (visual assessment of diameter stenosis > 70%), our model obtained a receiver operator characteristic (ROC) area under the curve (ROC-AUC) of 0.903 (95% CI: 0.900-0.906) on the internal test. The performance was evaluated on the external test set against visual assessment, 3D quantitative coronary angiography, and fractional flow reserve (≤ 0.80), obtaining ROC AUC values of 0.833 (95% CI: 0.814-0.852), 0.798 (95% CI: 0.741-0.842), and 0.780 (95% CI: 0.743-0.817), respectively. The deep-learning-based stenosis estimation models showed promising results for predicting stenosis. Compared to previous work, our approach demonstrates performance increase, includes all 16 segments, does not exclude revascularized patients, is externally tested, and is simpler using fewer steps.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"441-452"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880145/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142960864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.","authors":"Jihye Chae, Jihoon Kweon, Gyung-Min Park, Sangwoo Park, Hyuck Jun Yoon, Cheol Hyun Lee, Keunwoo Park, Hyunseol Lee, Do-Yoon Kang, Pil Hyung Lee, Soo-Jin Kang, Duk-Woo Park, Seung-Whan Lee, Young-Hak Kim, Cheol Whan Lee, Seong-Wook Park, Seung-Jung Park, Jung-Min Ahn","doi":"10.1007/s10554-025-03342-9","DOIUrl":"10.1007/s10554-025-03342-9","url":null,"abstract":"<p><p>Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MPXA-2000) in lesion detection and quantification using manual QCA as the reference standard, and to demonstrate its superiority over visual estimation. This multi-center retrospective study analyzed 1,076 coronary angiography images obtained from 420 patients, comparing AI-QCA and visual estimation against manual QCA as the reference standard. A lesion was classified as 'detected' when the minimum lumen diameter (MLD) identified by manual QCA fell within the boundaries of the lesion delineated by AI-QCA or visual estimation. The detected lesions were evaluated in terms of diameter stenosis (DS), MLD, and lesion length (LL). AI-QCA accurately detected lesions with a sensitivity of 93% (1705/1828) and showed strong correlations with manual QCA for DS, MLD, and LL (R² = 0.65, 0.83 and 0.71, respectively). In views targeting the major vessels, the proportion of undetected lesions by AI-QCA was less than 4% (56/1492). For lesions in the side branches, AI-QCA also demonstrated high sensitivity (> 92%) in detecting them. Compared to visual estimation, AI-QCA showed significantly better lesion detection capability (93% vs. 69%, p < 0.001), and had a higher probability of detecting all lesions in images with multiple lesions (86% vs. 33%, p < 0.001). The updated AI-QCA demonstrated robust performance in lesion detection and quantification without operator intervention, enabling reproducible vessel analysis. The automated process of AI-QCA has the potential to optimize angiography-guided interventions by providing quantitative metrics.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"559-568"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880186/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143061917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodality imaging of pulmonary artery aneurysms due to giant cell arteritis: a case series.","authors":"Bardia Nadim, Emma Blassel, Anthony R Sheets, Richard N Mitchell, Ayaz Aghayev","doi":"10.1007/s10554-024-03246-0","DOIUrl":"10.1007/s10554-024-03246-0","url":null,"abstract":"<p><p>Pulmonary artery aneurysms (PAAs) are rare, but important vascular phenomena with nonspecific signs and symptoms. While some patients remain asymptomatic, others manifest with serious symptoms such as chest pain, dyspnea, or hemoptysis. Often diagnosed incidentally, PAAs have various underlying etiologies, including congenital, acquired, and idiopathic. Giant cell arteritis (GCA) is a very rare cause of PAAs, with limited reported cases in the literature. This case series will review the clinical presentation, multimodality imaging, and management of four patients with isolated PAA due to GCA.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"631-638"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484748","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}