Differences in total plaque burden between plaque rupture and plaque erosion: A combined computed tomography angiography and optical coherence tomography study.

BACKGROUNDS: Coronary computed tomography angiography (CTA) allows for the assessment of atherosclerotic plaque burden across the entire coronary vasculature. No studies have examined the relationship between the underlying pathology of the culprit lesion and total plaque burden in patients with acute coronary syndromes. The aim of this study was to compare the total plaque burden between patients with plaque rupture versus plaque erosion. METHODS: A total of 232 patients who presented with their first non-ST-segment elevation acute coronary syndrome and underwent both CTA and optical coherence tomography imaging before intervention were selected. Quantitative analysis was performed using semi-automated software (Autoplaque version 3.0, Cedars-Sinai Medical Center). An attenuation of <30 Hounsfield units defined low-density non-calcified plaque (LDNCP). All 3 vessels were assessed using the modified 17-segment American Heart Association model for coronary segment classification. RESULTS: Among 232 patients, 125 (53.9%) had plaque rupture and 107 (46.1%) had plaque erosion. Total plaque burden (48.2 [39.8-54.9] % vs. 44.1 [38.6-50.0] %, P â€‹= â€‹0.006), total non-calcified plaque (NCP) burden (46.6 [39.1-53.3] % vs. 43.0 [37.6-49.2] %, P â€‹= â€‹0.013), total LDNCP burden (2.3 [1.4-3.0] % vs. 1.7 [1.2-2.6] %, P â€‹= â€‹0.016), and total calcified plaque (CP) burden (0.8 [0.1-1.6] % vs. 0.4 [0.0-1.4] %, P â€‹= â€‹0.047) were significantly greater in patients with culprit plaque rupture than in those with culprit plaque erosion. CONCLUSION: Patients with plaque rupture, compared with those with plaque erosion, had a greater total plaque burden, NCP burden, LDNCP burden, and CP burden. CLINICAL TRIAL REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT04523194.

Geometric consistency among atherosclerotic plaques in carotid arteries evaluated by multidimensional parameters.

The three-dimensional (3D) geometry of carotid atherosclerotic plaques is associated with multiple cardiovascular diseases. However, it is unknown if carotid plaques of different sizes are consistent in 3D geometry, with a lack of quantitative observation. We aim to evaluate the geometric consistency of carotid plaques using the correlations between multidimensional parameters. 42 cases with asymptomatic stenosis caused by atherosclerotic plaque in the carotid artery were included. Carotid plaques and calcifications were identified on computed tomography angiography images and 3D reconstructed. Multidimensional geometric parameters (length, surface area, volume, etc.) were measured on the reconstructed 3D structures. Linear and non-linear (power function) fittings were used to investigate the relationships between multidimensional parameters. The analysis was performed based on cases and plaques, respectively. Spearman rank correlation analysis, R-squared, and p-values were used to evaluate the significance of the relationship. Significant relationship was defined as R-squared >0.25 and p < 0.05. In total, 112 atherosclerotic plaques and 74 calcifications were extracted. In plaque-based analysis, significant correlations were widely observed between paired multidimensional parameters of carotid plaques, where non-linear fitting showed higher R-squared values. Plaque volume and surface area were significantly correlated with total volume and total surface area of intra-plaque calcifications. In subject-based analysis, triglycerides and total cholesterol were significantly correlated with carotid plaque size. There is a consistency in geometry among carotid atherosclerotic plaques of different sizes. The size of a carotid plaque is associated with the patient's lipid profile.

MRI-based Quantitative Collateral Assessment in Acute Stroke : A Comparison with Single-phase CTA in Drip-and-ship Patients with Serial Imaging.

PURPOSE: In acute ischemic stroke with large-vessel occlusion (LVO), collateral assessment with single-phase computed tomography angiography (CTA) might underestimate pial collateral supply in a considerable proportion of patients. We aimed to compare time-resolved magnetic resonance imaging (MRI)-based quantitative collateral mapping to conventional collateral imaging with CTA. METHODS: This retrospective single-center study covering a period of 6 years (2012-2018) included drip-and-ship LVO patients who underwent MR imaging after initial imaging evaluation with CT. For MRI-based collateral assessment, T2*-weighted time series from perfusion-weighted imaging (PWI) were processed to compute a quantitative collateral vessel index (CVIPWI) based on the magnitude of signal variance across the entire acquisition time. CTA-based collateral scores (Tan and Maas) and CVIPWI were investigated in terms of inter-modality associations between collateral measures, as well as their relationships with stroke severity, infarct volume and early functional outcome. RESULTS: The final analysis included n = 56 patients (n = 31 female, mean age 69.9 ± 14.21 years). No significant relationship was found between MR-based quantitative collateral supply (CVIPWI) and CT-based collateral scores (r = -0.00057, p = 0.502 and r = -0.124, p = 0.797). In contrast to CVIPWI, CTA-based collateral scores showed no significant relationship with clinical stroke severity and infarct volume. While MR-based CVIPWI was independently associated with favorable early functional outcome in multivariate analysis (OR 1.075, 95% CI 1.001-1.153, p = 0.046), CTA-based collateral scores were not significantly associated with outcome. CONCLUSIONS: Since collateral scores based on single-phase CTA do not accurately reflect infarct progression and might underestimate pial collateralization in a relevant proportion of patients, they are not associated with early functional outcome in LVO patients. In contrast, CVIPWI represents a robust imaging parameter of collateral supply and is independently associated with functional outcome.

Giant arteriovenous malformation of the scalp: A rare case.

Arteriovenous malformation (AVM) of the scalp is a rare extracranial vascular disorder lesion, that arises due to a pathological fistulous connection between the feeding artery and the draining vein, without capillary involvement within the subcutaneous layer. Here, we report a case of a 68-year-old woman who experienced progressively enlarging and throbbing lumps on the scalp in the bilateral frontotemporoparietooccipital region, especially the left, accompanied by a mild headache and minor hair loss. The patient was diagnosed with giant AVM of the scalp after undergoing ultrasonography (USG) and Computed tomography angiography (CTA) examinations. Computed tomography angiography is essential to precisely determine the angiographic architecture of the AVM and to determine further management.

Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.

Transesophageal echocardiography (TEE) is the standard method for diagnosing left atrial appendage (LAA) hypercoagulability in patients with atrial fibrillation (AF), which means LAA thrombus/sludge, dense spontaneous echo contrast and slow LAA blood flow velocity (< 0.25 m/s). Based on machine learning algorithms, cardiac computed tomography angiography (CCTA) radiomics features were adopted to construct prediction models and explore a suitable approach for diagnosing LAA hypercoagulability and adjusting anticoagulation. This study included 652 patients with non-valvular AF. The univariate analysis were used to select meaningful clinical characteristics to predict LAA hypercoagulability. Then 3D Slicer software was adopted to extract radiomics features from CCTA imaging. The radiomics score was calculated using the least absolute shrinkage and selection operator logistic regression analysis to predict LAA hypercoagulability. We then combined clinical characteristics and radiomics scores to construct a nomogram model. Finally, we got prediction models based on machine learning algorithms and logistic regression separately. The area under the receiver operating characteristic curve of radiomics score was 0.8449 in the training set and 0.7998 in the validation set. The nomogram model had a concordance index of 0.838. The final machine-learning based prediction models had good performances (best f1 score = 0.85). Radiomics features of long maximum diameter and high uniformity of Hounsfield unit in left atrial were significant predictors of the hypercoagulable state in LAA, with better predictive efficacy than clinical characteristics. Our combined models based on machine learning were reliable for hypercoagulable state screening and anticoagulation adjustment.

Computed Tomography Evaluation of Coronary Atherosclerosis: The Road Travelled, and What Lies Ahead.

Coronary CT angiography (CCTA) is now endorsed by all major cardiology guidelines for the investigation of chest pain and assessment for coronary artery disease (CAD) in appropriately selected patients. CAD is a leading cause of morbidity and mortality. There is extensive literature to support CCTA diagnostic and prognostic value both for stable and acute symptoms. It enables rapid and cost-effective rule-out of CAD, and permits quantification and characterization of coronary plaque and associated significance. In this comprehensive review, we detail the road traveled as CCTA evolved to include quantitative assessment of plaque stenosis and extent, characterization of plaque characteristics including high-risk features, functional assessment including fractional flow reserve-CT (FFR-CT), and CT perfusion techniques. The state of current guideline recommendations and clinical applications are reviewed, as well as future directions in the rapidly advancing field of CT technology, including photon counting and applications of artificial intelligence (AI).

Perforator Selection with Computed Tomography Angiography for Unilateral Breast Reconstruction: A Clinical Multicentre Analysis.

Background and Objectives: Despite CTAs being critical for preoperative planning in autologous breast reconstruction, experienced plastic surgeons may have differing preferences for which side of the abdomen to use for unilateral breast reconstruction. Large language models (LLMs) have the potential to assist medical imaging interpretation. This study compares the perforator selection preferences of experienced plastic surgeons with four popular LLMs based on CTA images for breast reconstruction. Materials and Methods: Six experienced plastic surgeons from Australia, the US, Italy, Denmark, and Argentina reviewed ten CTA images, indicated their preferred side of the abdomen for unilateral breast reconstruction and recommended the type of autologous reconstruction. The LLMs were prompted to do the same. The average decisions were calculated, recorded in suitable tables, and compared. Results: The six consultants predominantly recommend the DIEP procedure (83%). This suggests experienced surgeons feel more comfortable raising DIEP than TRAM flaps, which they recommended only 3% of the time. They also favoured MS TRAM and SIEA less frequently (11% and 2%, respectively). Three LLMs-ChatGPT-4o, ChatGPT-4, and Bing CoPilot-exclusively recommended DIEP (100%), while Claude suggested DIEP 90% and MS TRAM 10%. Despite minor variations in side recommendations, consultants and AI models clearly preferred DIEP. Conclusions: Consultants and LLMs consistently preferred DIEP procedures, indicating strong confidence among experienced surgeons, though LLMs occasionally deviated in recommendations, highlighting limitations in their image interpretation capabilities. This emphasises the need for ongoing refinement of AI-assisted decision support systems to ensure they align more closely with expert clinical judgment and enhance their reliability in clinical practice.

Spontaneous Isolated Superior Mesenteric Arterial Dissection Treated with a Coronary Covered Stent: A Case Report.

Spontaneous isolated dissection of the superior mesenteric artery is rare with a wide spectrum of clinical symptoms. The management of isolated dissections mainly depends on the clinical symptomatology and imaging presentation. This case report describes a 51-year-old male presenting with persistent abdominal pain. Computed tomography angiography revealed an isolated superior mesenteric arterial dissection associated with severe true lumen stenosis and thrombosed false lumen with an ulcer-like projection. Definitive treatment was performed with a coronary covered stent to reopen the true lumen and completely exclude the false lumen.

Right coronary ischaemia caused by a sinus of Valsalva aneurysm improved by releasing mechanical stretch: a case report.

Background: A sinus of Valsalva aneurysm involving a single cusp is a rare condition, and coronary computed tomography angiography with fractional flow reserve-computed tomography helps evaluate not only the anatomical aspects of the aneurysm and coronary artery but also the physiological details of coronary artery disease. Case summary: A 71-year-old woman presented with exertional chest pain and dyspnoea. Enhanced computed tomography revealed an aneurysmal change in the right sinus of Valsalva, and coronary computed tomography angiography revealed diffuse narrowing of the proximal segment of right coronary artery due to mechanical stretching by the large Valsalva aneurysm. Fractional flow reserve-computed tomography revealed a significantly low fractional flow reserve (0.50 in the distal right coronary artery). A modified Bentall procedure was performed with a 21 mm bioprosthetic valve and a 24 mm Valsalva graft conduit for the aortic root aneurysm; mitral valve annuloplasty was performed for mitral valve regurgitation. Post-operative coronary computed tomography angiography revealed no significant stenosis in the proximal segment of the right coronary artery. Furthermore, fractional flow reserve-computed tomography revealed a normalized fractional flow reserve in the distal right coronary artery. The patient experienced relief from chest pain and was discharged 19 days after the surgery. Discussion: A right coronary sinus of Valsalva aneurysm, which caused right coronary artery ischaemia, was successfully treated using a modified Bentall procedure. Coronary computed tomography angiography and fractional flow reserve-computed tomography revealed anatomical and functional improvements in the right coronary artery ischaemia post-operatively.

Interleukin 6 plasma levels are associated with progression of coronary plaques.

BACKGROUND: Inflammation plays a pivotal role in atherogenesis and is a causal risk factor for atherosclerotic cardiovascular disease. Non-invasive coronary CT angiography (CCTA) enables evaluation of coronary plaque phenotype. This study investigates the relationship between a comprehensive panel of inflammatory markers and short-term plaque progression on serial CCTA imaging, hypothesising that inflammation is associated with increased plaque volume. METHODS: A total of 161 patients aged ≥40 years with stable multivessel coronary artery disease were included, who underwent CCTA at baseline and 12 months follow-up. Baseline plasma levels of interleukin 6 (IL-6), high-sensitivity C-reactive protein and other inflammatory markers were measured. Plaque volumes were assessed using semiautomated software, calculating total, noncalcified, calcified and low-attenuation noncalcified plaque volumes. Linear regression models, adjusted for ASSIGN score, segment involvement score and body mass index, evaluated associations between inflammatory markers and plaque volume changes. RESULTS: The mean±SD age was 65.4±8.4 years, with 129 (80.6%) male participants. Baseline total plaque volume was 1394 (1036, 1993) mm³. After 12 months, total plaque volume changed by 78 (-114, 244) mm³. IL-6 levels were associated with a 4.9% increase in total plaque volume (95% CI: 0.9 to 8.9, p=0.018) and a 4.8% increase in noncalcified plaque volume (95% CI: 0.7 to 8.9, p=0.022). No significant associations were observed for other inflammatory markers. CONCLUSIONS: Plasma IL-6 levels are significantly associated with increased total and noncalcified short-term plaque progression in patients with stable coronary artery disease. This supports the potential of IL-6 as a target for reducing plaque progression and cardiovascular risk.

FIB-4 Index and Liver Stiffness Measurement are Potential Predictors of Atherosclerosis in Metabolic Dysfunction-Associated Steatotic Liver Disease.

AIMS: Cardiovascular disease (CVD) is a common cause of death in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Therefore, CVD surveillance is important, but it is not well established. We evaluated the association between liver fibrosis, carotid artery atherosclerosis, and coronary artery stenosis in patients with MASLD. METHODS: Overall, 153 patients with MASLD who underwent carotid artery ultrasound were enrolled. Maximum intima-media thickness including plaques (Max-IMT) was measured by ultrasound. To predict liver fibrosis, liver stiffness was measured by vibration-controlled transient elastography and the fibrosis 4 (FIB-4) index was calculated. Coronary computed tomography angiography was performed to detect coronary artery stenosis based on a Max-IMT of ≥ 1.1 mm. RESULTS: The median Max-IMT was 1.3 mm, and 63 patients (41.2%) had a Max-IMT of ≥ 1.5 mm. FIB-4 index and liver stiffness was significantly correlated with Max-IMT, respectively (ρ=0.356, p＜0.001, ρ=0.25, p=0.002). Liver stiffness was significantly associated with a Max-IMT of ≥1.5 mm, independent of age. Individuals with higher FIB-4 index had moderate or severe coronary artery stenosis more frequently. Individuals with higher LSM level also had moderate or severe coronary artery stenosis more frequently, especially severe stenosis. CONCLUSIONS: Liver fibrosis parameters were associated with carotid artery atherosclerosis and coronary artery stenosis. Evaluation of liver fibrosis may be useful to identify significant atherosclerosis and coronary artery stenosis in patients with MASLD.

Automatic segmentation of esophageal cancer, metastatic lymph nodes and their adjacent structures in CTA images based on the UperNet Swin network.

OBJECTIVE: To create a deep-learning automatic segmentation model for esophageal cancer (EC), metastatic lymph nodes (MLNs) and their adjacent structures using the UperNet Swin network and computed tomography angiography (CTA) images and to improve the effectiveness and precision of EC automatic segmentation and TN stage diagnosis. METHODS: Attention U-Net, UperNet Swin, UNet++ and UNet were used to train the EC segmentation model to automatically segment the EC, esophagus, pericardium, aorta and MLN from CTA images of 182 patients with postoperative pathologically proven EC. The Dice similarity coefficient (DSC), sensitivity, and positive predictive value (PPV) were used to assess their segmentation effectiveness. The volume of EC was calculated using the segmentation results, and the outcomes and times of automatic and human segmentation were compared. All statistical analyses were completed using SPSS 25.0 software. RESULTS: Among the four EC autosegmentation models, the UperNet Swin had the best autosegmentation results with a DSC of 0.7820 and the highest values of EC sensitivity and PPV. The esophagus, pericardium, aorta and MLN had DSCs of 0.7298, 0.9664, 0.9496 and 0.5091. The DSCs of the UperNet Swin were 0.6164, 0.7842, 0.8190, and 0.7259 for T1-4 EC. The volume of EC and its adjacent structures between the ground truth and UperNet Swin model were not significantly different. CONCLUSIONS: The UperNet Swin showed excellent efficiency in autosegmentation and volume measurement of EC, MLN and its adjacent structures in different T stage, which can help to T and N stage diagnose EC and will save clinicians time and energy.

Comparative Prognostic Value of Coronary Calcium Score and Perivascular Fat Attenuation Index in Coronary Artery Disease.

Coronary artery disease (CAD) is the leading global cause of mortality, accounting for approximately 30% of all deaths. It is primarily characterized by the accumulation of atherosclerotic plaques within the coronary arteries, leading to reduced blood flow to the heart muscle. Early detection of atherosclerotic plaques is crucial to prevent major adverse cardiac events. Notably, recent studies have shown that 15% of myocardial infarctions occur in patients with non-obstructive CAD, underscoring the importance of comprehensive plaque assessment beyond merely identifying obstructive lesions. Cardiac Computed Tomography Angiography (CCTA) has emerged as a cost-effective and efficient technique for excluding obstructive CAD, particularly in patients with a low-to-intermediate clinical likelihood of the disease. Recent advancements in CCTA technology, such as improved resolution and reduced scan times, have mitigated many technical challenges, allowing for precise quantification and characterization of both calcified and non-calcified atherosclerotic plaques. This review focuses on two critical physiological aspects of atherosclerotic plaques: the burden of calcifications, assessed via the coronary artery calcium score (CACs), and perivascular fat attenuation index (pFAI), an emerging marker of vascular inflammation. The CACs, obtained through non-contrast CT scans, quantifies calcified plaque burden and is widely used to stratify cardiovascular risk, particularly in asymptomatic patients. Despite its prognostic value, the CACs does not provide information on non-calcified plaques or inflammatory status. In contrast, the pFAI, derived from CCTA, serves as an indirect marker of coronary inflammation and has shown potential in predicting adverse cardiac events. Combining both CACs and pFAI assessment could offer a comprehensive risk stratification approach, integrating the established calcification burden with novel inflammatory markers to enhance CAD prevention and management strategies.

Cardiac thrombus detected by cardiac computed tomography angiography in patients with acute ischemic stroke: a meta-analysis.

Background: Detecting cardiac thrombus in patients with acute ischemic stroke is crucial in determine stroke etiology and predict prognosis. However, the prevalence of cardiac thrombus in patients with acute ischemic stroke is unclear. Object: This study aimed to evaluate the prevalence of cardiac thrombus detected by cardiac computed tomography angiography (CCTA) in patients with acute ischemic stroke through a meta-analysis. Methods: Embase, Web of Science, MEDLINE, and CENTRAL were searched from January 1, 2000, to May 1, 2024. We included observational studies enrolling patients who underwent CCTA within 1 month following acute ischemic stroke, and reporting the incidence of cardiac thrombi on CCTA. Meta-analysis was performed using random effects models. Results: Twenty-six studies involving 4,516 patients were identified. The pooled prevalence of cardiac thrombus detected on CCTA in patients with acute ischemic stroke was 0.08 (95% confidence interval [CI]: 0.06-0.11). Inter-study heterogeneity was high (I2 = 88%). Among stroke type, the prevalence of atrial fibrillation, timing of CCTA and CCTA technology, the prevalence of atrial fibrillation was the only factor associated with cardiac thrombi prevalence detected by CCTA. However, atrial fibrillation was not documented in 41.5% of the patients with cardiac thrombi. Conclusion: CCTA is a useful non-invasive imaging approach for detecting cardiac thrombus in patients with acute ischemic stroke, which might be helpful to determine the stroke etiology.

The prevalence of coronary artery disease in patients presenting with 'non-anginal chest pain'.

The National Institute for Health and Care Excellence (NICE) advise against routine testing for coronary artery disease (CAD) in patients with non-anginal chest pain (NACP). This clinical audit sought to establish the prevalence of significant CAD in this cohort using computed tomography angiography (CTCA) and evaluate differences in the prevalence of cardiovascular risk factors between those with and without obstructive coronary disease. Over 23 months, 866 patients with NACP underwent CTCA. Patients were separated into three groups for analysis depending on the degree of CAD on CTCA using the CAD-RADS (Coronary Artery Disease Reporting and Data System) scoring system; no evidence of CAD (group 1), a degree of CAD requiring medical therapy only (group 2), significant CAD defined as a CAD-RADS score 4A/B or 5 (group 3). Cardiovascular risk factors were compared between the groups. We found 11.5% had significant CAD (group 3), 58.3% required medical therapy (group 2) and 30.1% had no CAD (group 1). There were 32 patients who required coronary revascularisation. Patients in group 2 and 3 were more likely to be male (p<0.001) and older (p<0.001) when compared to patients in group 1. Patients in group 3 were more likely to be hypertensive (p=0.008) and have higher Qrisk2 scores (p<0.001) when compared with those in group 1. In conclusion, NICE guidelines for NACP may result in a significant proportion of patients with CAD being underdiagnosed, including some with severe disease requiring revascularisation. This analysis suggests age, male gender, Qrisk2 score and hypertension are predictors of CAD in this cohort.

Intraindividual Comparison of Ultrahigh-Spatial-Resolution Photon-Counting Detector CT and Energy-Integrating Detector CT for Coronary Stenosis Measurement.

BACKGROUND: A recent simulation study proposed that stenosis measurements on coronary computed tomography (CT) angiography are influenced by the improved spatial resolution of photon-counting detector (PCD)-CT. The aim of the current study was to evaluate the impact of ultrahigh-spatial-resolution (UHR) on coronary stenosis measurements and Coronary Artery Disease Reporting and Data System (CAD-RADS) reclassification rates in patients undergoing coronary CT angiography on both PCD-CT and energy-integrating detector (EID)-CT and to compare measurements against quantitative coronary angiography. METHODS: Patients with coronary calcification on EID-CT (collimation, 192×0.6 mm) were prospectively enrolled for a research coronary CT angiography with UHR PCD-CT (collimation, 120×0.2 mm) within 30 days (between April 1, 2023 and January 31, 2024). PCD-CT was acquired with the same or lower CT dose index and equivalent contrast media volume as EID-CT. Percentage diameter stenosis (PDS) for calcified, partially calcified, and noncalcified lesions were compared between scanners. Patient-level reclassification rates for CAD-RADS were evaluated. The accuracy of PDS measurements was validated against quantitative coronary angiography in patients who underwent invasive coronary angiography. RESULTS: In total, PDS of 278 plaques were quantified in 49 patients (calcified, 202; partially calcified, 51; noncalcified, 25). PCD-CT-based PDS values were lower than EID-CT measurements for calcified (45.1±20.7 versus 54.6±19.2%; P<0.001) and partially calcified plaques (44.3±19.6 versus 54.9±20.0%; P<0.001), without significant differences for noncalcified lesions (39.1±15.2 versus 39.0±16.0%; P=0.98). The reduction in stenosis degrees led to a 49.0% (24/49) reclassification rate to a lower CAD-RADS with PCD-CT. In a subset of 12 patients with 56 lesions, UHR-based PDS values showed higher agreement with quantitative coronary angiography (mean difference, 7.3%; limits of agreement, -10.7%/25.2%) than EID-CT measurements (mean difference, 17.4%; limits of agreement, -6.9%/41.7%). CONCLUSIONS: Compared with conventional EID-CT, UHR PCD-CT results in lower PDS values and more accurate stenosis measurements in coronary plaques with calcified components and leads to a substantial Coronary Artery Disease Reporting and Data System reclassification rate in 49.0% of patients.

Coronary Artery Dimensions on Computed Tomography Following the Neonatal Arterial Switch Operation for the Complete Transposition of the Great Arteries.

Coronary events are life-threatening long-term complications of the arterial switch operation for complete transposition of the great arteries. The aim of our study was to assess the dimensions of the reimplanted coronary arteries and their relationship with the various geometric characteristics to gain a better understanding of the involved mechanisms. Coronary computed tomography angiography (CCTA) scans of 78 asymptomatic pediatric patients were performed at the age of 10.7 (6.3-17.8) years. The position of the ostia, the branching angles, and the diameters of the coronary arteries were determined in a subgroup of 51 patients presenting the usual preoperative coronary anatomy. Mean Z-score of the left main coronary artery (LMCA), left anterior descending coronary artery (LAD), left circumflex coronary artery (LCX), and right coronary artery (RCA) diameters were 0.7 ± 1.2, - 0.4 ± 1.1, - 0.3 ± 1.1, and - 0.3 ± 1.1, respectively. The Z-score of the ostial LMCA diameter had a positive correlation with the remoteness from the main pulmonary artery (p < 0.001) and the branching angle (p = 0.001). The ostial diameter Z-score of the LMCA had a negative correlation with the interval between the arterial switch operation and the CCTA (p = 0.004). Even though most of the coronary diameters fell within the accepted range, which suggests normal overall development, acute branching angle and more anterior origin were associated with smaller ostial coronary artery diameter Z-scores. To prove the clinical relevance of the smaller ostial diameter of high-risk left coronary arteries and the decrease of ostial coronary artery Z-scores over time needs further follow-up studies.

Correlation between common iliac vein geometry and the risk of deep vein thrombosis in patients with May-Thurner syndrome.

BACKGROUND: May-Thurner syndrome (MTS) is a continuous pathological change of the left common iliac vein intraluminal wall due to compression between the right common iliac artery and a lumbar vertebra, with clinical signs of compromised venous drainage of the left leg, which eventually leads to development of left-sided deep vein thrombosis (DVT). PURPOSE: To analyze the correlation between iliac vessel geometry and probability of DVT in patients with MTS. MATERIAL AND METHODS: This study consists of two age-matched female groups: DVT (n = 21) and control (n = 28). Iliac vein geometry, including left common iliac vein (LCIV) diameter, percentage of stenosis, angle between LCIV and right common iliac vein (RCIV), tilt angle of each CIV with horizontal line, and crossing angle between right common iliac artery (RCIA) and LCIV, were measured on computed tomography venography (CTV) images. The probability of DVT development was assessed using logistic regression. RESULTS: Comparing the DVT and control groups, the mean LCIV diameter was 2.4 mm and 3.7 mm (P = 0.001), and mean LCIV stenosis was 77.7% and 68.3% (P = 0.001), respectively. After age-adjustment, the odds of left DVT in patients with MTS correlated with LCIV diameter (odds ratio [OR]=0.25, P < 0.001, 95% confidence interval [CI]=0.11-0.54), LCIV stenosis (%) (OR=1.12, P = 0.003, 95% CI=1.04-1.21), LCIV tilt angle (OR=0.95, P < 0.038, 95% CI=0.91-0.99), and angle between two CIVs (OR=1.04, P < 0.039, 95% CI=1.00-1.09). CONCLUSION: LCIV diameter and percentage of stenosis, LCIV tilt angle, and CIV angle were independent risk factors for the development of DVT in patients with MTS.

The value of computed tomography angiography for evaluation of left atrial enlargement in patients with persistent atrial fibrillation.

BACKGROUND: The post-processing technology of CTA offers significant advantages in evaluating left atrial enlargement (LAE) in patients with persistent atrial fibrillation (PAF). This study aims to identify parameters for rapidly and accurately diagnosing LAE in patients with PAF using CT cross-sections. METHODS: Left atrial pulmonary venous (PV) CT was performed to 300 PAF patients with dual-source CT, and left atrial volume (LAV), left atrial anteroposterior diameter (LAD1), left atrial transverse diameter (LAD2), and left atrial area (LAA) were measured in the ventricular end systolic (ES) and middle diastolic (MD). LA index (LAI) = LA parameter/body surface area (BSA). Left atrial volume index (LAVIES) > 77.7 ml/m2 was used as the reference standard for the LAE diagnosis. RESULTS: 227 patients were enrolled in the group, 101 (44.5%) of whom had LAE. LAVES and LAVMD (r = 0.983), LAVIES and LAVIMD (r = 0.984), LAAES and LAVIES (r = 0.817), LAAMD and LAVIES (r = 0.814) had strong positive correlations. The area under curve (AUC) showed that all measured parameters were suitable for diagnosing LAE, and the diagnostic efficacy was compared as follows: LAA/LAAI> LAD> the relative value index of LAD, LAD2> LAD1. LAA and LAAI demonstrated comparable diagnostic efficacy, with LAA being more readily available than LAAI. CONCLUSIONS: The axial LAA measured by CTA can be served as a parameter for the rapid and accurate diagnosis of LAE in patients with PAF.