Diagnosis and management of spontaneous coronary artery dissection: Two cases and a review of the literature.

Introduction and importance: Spontaneous coronary artery dissection (SCAD) is a rare but potentially fatal condition, often underdiagnosed despite its significance in acute coronary syndrome (ACS). The true prevalence remains uncertain due to diagnostic challenges. Identifying SCAD cases is crucial for reducing mortality and morbidity, especially considering the recurrence risk. The authors present two cases highlighting the importance of multimodality imaging in diagnosing and managing SCAD. Case presentation: Case 1: A 53-year-old man with a history of brain aneurysm presented with chest pain and shortness of breath. Despite negative EKGs and stress tests, coronary computed tomography angiography (CCTA) revealed non-obstructive dissection flaps. Medical management improved his condition.Case 2: A 55-year-old woman with no significant medical history experienced recurrent chest pain. Initial tests were negative, but CCTA revealed SCAD. Further screening uncovered undiagnosed fibromuscular dysplasia. Clinical discussion: SCAD poses diagnostic challenges, often mimicking other cardiac conditions. Traditional tests may yield negative results, necessitating advanced imaging techniques like CCTA. Recognizing SCAD's association with connective tissue disorders (CTD) is vital for comprehensive patient care. The authors' cases emphasize the importance of a systematic approach to diagnosing chest pain, including noninvasive modalities and considering underlying etiologies. Conclusion: SCAD diagnosis requires a high index of suspicion, especially when traditional cardiac tests are inconclusive. Beyond treatment, patients should undergo further evaluation for CTDs, particularly in those with minimal risk factors for atherosclerosis. Increased awareness and a multimodal diagnostic approach are crucial for timely intervention and improved outcomes in SCAD patients. Learning objectives: The authors aim to increase awareness regarding different clinical presentations of SCAD to decrease the risk of missed or late diagnosis. The authors' case series also signifies the multimodal imaging approach's role in evaluating chest pain. Upon diagnosis of SCAD, it is imperative to go beyond treatment and implement a reverse algorithmic strategy to discover any underlying causes and risk factors for SCAD predisposition.

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.

Pulmonary Vein in a Pinch.

The pulmonary veins normally drain into the left atrium, with the superior pulmonary veins typically situated anterior and inferior to the right pulmonary arteries. However, anomalies can happen. We encountered an exceedingly rare pulmonary vascular anomaly for a patient presenting with atypical chest pain, where the right superior pulmonary vein aberrantly ran posterior to the right pulmonary artery (RPA) and became compressed between the RPA and the right main bronchus. Coronary computed tomography angiography identified this specific pulmonary vein anomaly but revealed unremarkable coronary arteries.

Discrepancies between Coronary Artery Calcium Score and Coronary Artery Disease Severity in Computed Tomography Angiography Studies.

The aim of this paper is to demonstrate the difference in usefulness of the coronary artery calcium score (CACS) and the full assessment of the severity of coronary artery disease in coronary computed tomography angiography (CCTA) studies. The difference between the population risk of coronary artery disease (CAD) assessed by the CACS and the severity of CAD was demonstrated in images from two CCTA studies. The first image is from a patient with a CACS of 0 and significant coronary artery stenosis. In the native phase of CCTA examination, no calcified changes were detected in the topography of the coronary arteries. In the middle section of the left descending artery (LAD), at the level of the second diagonal branch (Dg2), a large non-calcified atherosclerotic plaque was visible. Mid-LAD stenosis was estimated to be approximately 70%. The second image features a patient with a high CACS but no significant coronary artery stenosis. The calcium score of individual coronary arteries calculated using the Agatston method was as follows: left main (LM) 0, LAD 403, left circumflex (LCx) 207.7, right coronary artery (RCA) 12. CACS was 622.7, representing a significant population risk of significant CAD. In the proximal and middle sections of the LAD, numerous calcified and mixed atherosclerotic plaques with positive remodeling were visible, causing stenosis of 25-50%. Similarly, in the proximal and middle sections of the LCx, numerous calcified and mixed atherosclerotic plaques with positive remodeling were visualized, causing stenoses of 25-50%. Calcified atherosclerotic plaques were found in the RCA, causing stenosis <25%. The entire CCTA image met CAD-RADS 2 (coronary artery disease reporting and data system) criteria. In summary, CACS may be applicable in population-based studies to assess the risk of significant CAD. In the evaluation of individual patients, a comprehensive assessment of CAD severity based on the angiographic phase of the CCTA examination should be used.

Improving Image Quality and Diagnostic Performance of CCTA in Patients with Challenging Heart Rate Conditions Using a Deep Learning-Based Motion Correction Algorithm.

OBJECTIVE: Challenging HR conditions, such as elevated Heart Rate (HR) and Heart Rate Variability (HRV), are major contributors to motion artifacts in Coronary Computed Tomography Angiography (CCTA). This study aims to assess the impact of a deep learning-based motion correction algorithm (MCA) on motion artifacts in patients with challenging HR conditions, focusing on image quality and diagnostic performance of CCTA. MATERIALS AND METHODS: This retrospective study included 240 patients (mean HR: 88.1 ± 14.5 bpm; mean HRV: 32.6 ± 45.5 bpm) who underwent CCTA between June, 2020 and December, 2020. CCTA images were reconstructed with and without the MCA. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured to assess objective image quality. Subjective image quality was evaluated by two radiologists using a 5-point scale regarding vessel visualization, diagnostic confidence, and overall image quality. Moreover, all vessels with scores ≥ 3 were considered clinically interpretable. The diagnostic performance of CCTA with and without MCA for detecting significant stenosis (≥ 50%) was assessed in 34 patients at both per-vessel and per-patient levels, using invasive coronary angiography as the reference standard. RESULTS: The MCA significantly improved subjective image quality, increasing the vessel interpretability from 89.9% (CI: 0.88-0.92) to 98.8% (CI: 0.98-0.99) (p < 0.001). The use of MCA resulted in significantly higher diagnostic performance in both patient-based (AUC: 0.83 vs. 0.58, p = 0.04) and vessel-based (AUC: 0.92 vs. 0.81, p < 0.001) analyses, with the vessel-based accuracy notably increased from 79.4% (CI: 0.72-0.86) to 91.2% (CI: 0.85-0.95) (p = 0.01). There were no significant differences in objective image quality between the two reconstructions. The mean effective dose in this study was 2.8 ± 1.1 mSv. CONCLUSION: The use of MCA allows for obtaining high-quality CCTA images and superior diagnostic performance with low radiation exposure in patients with elevated HR and HRV.

[The challenging patient-recommendations and solutions]. / Der schwierige Patient − Tipps und Tricks.

BACKGROUND: The continuous technical development of cardiac computed tomography (CT) over the last decades has led to an improvement in image quality and diagnostic accuracy, while simultaneously reducing radiation exposure. Despite these advancements, certain patient-related factors remain a challenge to conduct a high-quality diagnostic examination. QUESTION: What factors can negatively affect the image quality of cardiac CT and how can these be addressed? MATERIALS AND METHODS: Analysis of the available literature on cardiac CT and identification of the quality-limiting factors, discussion, and possible solutions. RESULTS: Tachycardia, arrhythmias, high coronary calcification, the presence of stents and coronary artery bypasses, as well as obesity and anxiety were identified as primary factors that limit image quality and diagnostic accuracy. These issues primarily arise from a lack of response or the presence of contraindications to premedication, blooming artifacts, variations in postoperative anatomy, as well as other personal factors. Suggested solutions include optimizing premedication, scanner modifications, the selection of the most suitable acquisition mode, new scanner technologies, and innovative image reconstruction methods including artificial intelligence. CONCLUSIONS: Certain factors continue to pose a major challenge for cardiac CT. Knowledge of alternative premedication, scanner modifications, as well as the use of postprocessing software and new technologies can help overcome these limitations, enabling successful and safe cardiac CTs even in challenging patients.

CCTA-Guided Invasive Coronary Angiography in Patients With CABG: A Multicenter, Randomized Study.

BACKGROUND: Coronary computed tomography angiography (CCTA) in patients with post-coronary artery bypass graft (CABG) has a high diagnostic accuracy for visualization of grafts. Invasive coronary angiography (ICA) in patients with CABG is associated with increased procedural time, contrast agent administration, radiation exposure, and complications, compared with non-CABG patients. The aim of this multicenter, randomized controlled trial was to compare the strategy of CCTA-guided ICA versus classic ICA in patients with prior CABG. METHODS: Patients with prior CABG were randomly assigned (1:1 ratio) to have a CCTA before ICA (CCTA-ICA, group A) or not (ICA-only, group B). The primary end point of the study was the total volume (milliliters) of the contrast agent administered. RESULTS: A total of 251 patients were randomized, and 225 were included in analysis; 110 in group A and 115 in group B. The total contrast volume was higher in group A (184.5 [143-255] versus 154 [102-240] mL; P=0.001). The contrast volume administered during the invasive procedure was lower in group A (101.5 [60-151] versus 154 [102-240]; P<0.001). Total fluoroscopy time was decreased in group A (480 [259-873] versus 594 [360-1080] seconds; P=0.027), but total effective dose was increased (24.1 [17.7-32] versus 10.8 [5.6-18] mSv; P<0.001). The rate of contrast-induced nephropathy, periprocedural complications, and major adverse cardiac events during 3 to 5 and 30 days did not differ significantly between the 2 groups. CONCLUSIONS: A CCTA-directed ICA strategy for patients with CABG is associated with expedition of the invasive procedure, and less fluoroscopy time, at the cost of higher total contrast volume and effective radiation dose, compared with the classic ICA approach. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04631809.

Performance of artificial intelligence in detecting the chronic total occlusive lesions of coronary artery based on coronary computed tomographic angiography.

Background: Coronary chronic total occlusion (CTO) increases the risk of developing major adverse cardiovascular events (MACE) and cardiogenic shock. Coronary computed tomography angiography (CCTA) is a safe, noninvasive method to diagnose CTO lesions. With the development of artificial intelligence (AI), AI has been broadly applied in cardiovascular images, but AI-based detection of CTO lesions from CCTA images is difficult. We aim to evaluate the performance of AI in detecting the CTO lesions of coronary arteries based on CCTA images. Methods: We retrospectively and consecutively enrolled patients with 50% stenosis, 50-99% stenosis, and CTO lesions who received CCTA scans between June 2021 and June 2022 in Beijing Anzhen Hospital. Four-fifths of them were randomly assigned to the training dataset, while the rest (1/5) were randomly assigned to the testing dataset. Performance of the AI-assisted CCTA (CCTA-AI) in detecting the CTO lesions was evaluated through sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and receiver operating characteristic analysis. With invasive coronary angiography as the reference, the diagnostic performance of AI method and manual method was compared. Results: A total of 537 patients with 1,569 stenotic lesions (including 672 lesions with <50% stenosis, 493 lesions with 50-99% stenosis, and 404 CTO lesions) were enrolled in our study. CCTA-AI saved 75% of the time in post-processing and interpreting the CCTA images when compared to the manual method (116±15 vs. 472±45 seconds). In the testing dataset, the accuracy of CCTA-AI in detecting CTO lesions was 86.2% (79.0%, 90.3%), with the area under the curve of 0.874. No significant difference was found in detecting CTO lesions between AI and manual methods (P=0.53). Conclusions: AI can automatically detect CTO lesions based on CCTA images, with high diagnostic accuracy and efficiency.

Quadricuspid aortic valve and its rare association with left main obstruction: case report and literature review.

The quadricuspid aortic valve (QAV) is a rare congenital anomaly. We report a 51-year-old woman with QAV who experienced intermittent chest pain due to fibrotic tissue overgrowth from the small left coronary cusp, obstructing the left main coronary artery (LM). Angiography revealed a large "Vieussens' arterial ring," which acted as a collateral channel from the right coronary artery to the left coronary artery, preserving coronary blood flow and left ventricular function. Surgery successfully removed the tissue, maintaining both aortic valve function and coronary patency. This case highlights the need to consider QAV complications and use various imaging modalities for accurate diagnosis and treatment planning, including evaluating potential issues like aortic regurgitation and coronary anomalies.

[Box: see text].

Relationship Between Calcified Plaque Burden, Vascular Inflammation, and Plaque Vulnerability in Patients With Coronary Atherosclerosis.

BACKGROUND: Coronary artery calcification is an integral part of atherosclerosis. It has been suggested that early coronary artery calcification is associated with active inflammation, and advanced calcification forms as inflammation subsides. Inflammation is also an important factor in plaque vulnerability. However, the relationship between coronary artery calcium burden, vascular inflammation, and plaque vulnerability has not been fully investigated. OBJECTIVES: This study aimed to correlate calcified plaque burden (CPB) at the culprit lesion with vascular inflammation and plaque vulnerability. METHODS: Patients with coronary artery disease who had both computed tomography angiography and optical coherence tomography were included. The authors divided the patients into 4 groups: 1 group without calcification at the culprit lesion; and 3 groups based on the CPB tertiles. CPB was calculated as calcified plaque volume divided by vessel volume in the culprit lesion. The authors compared pericoronary adipose tissue (PCAT) attenuation for vascular inflammation and optical coherence tomography-derived vulnerable features among the 4 groups. RESULTS: Among 578 patients, the highest CPB tertile showed significantly lower PCAT attenuation of culprit vessel compared with the other groups. The prevalence of features of plaque vulnerability (including lipid-rich plaque, macrophage, and microvessel) was also lowest in the highest CPB tertile. In the patients with calcification, higher age, statin use, and lower PCAT attenuation were independently associated with CPB. CONCLUSIONS: Greater calcium burden is associated with a lower level of vascular inflammation and plaque vulnerability. A greater calcium burden may represent advanced stable plaque without significant inflammatory activity. (Massachusetts General Hospital and Tsuchiura Kyodo General Hospital Coronary Imaging Collaboration; NCT04523194).

Predictive value of CCTA-based pericoronary adipose tissue imaging for major adverse cardiovascular events.

RATIONALE AND OBJECTIVE: To evaluate the ability of the radiomic characteristics of pericoronary adipose tissue (PCAT) as determined by coronary computed tomography angiography (CCTA) to predict the likelihood of major adverse cardiovascular events (MACEs) within the next five years. MATERIALS AND METHODS: In this retrospective casecontrol study, the case group consisted of 210 patients with coronary artery disease (CAD) who developed MACEs within five years, and the control group consisted of 210 CAD patients without MACEs who were matched with the case group patients according to baseline characteristics. Both groups were divided into training and testing cohorts at an 8:2 ratio. After data standardization and the exclusion of features with Pearson correlation coefficients of |r| ≥ 0.9, independent logistic regression models were constructed using selected radiomics features of the proximal PCAT of the left anterior descending (LAD) artery, left circumflex (LCX) artery, and right coronary artery (RCA) via least absolute shrinkage and selection operator (LASSO) techniques. An integrated PCAT radiomics model including all three coronary arteries was also developed. Five models, including individual PCAT radiomics models for the LAD artery, LCX artery, and RCA; an integrated radiomics model; and a fat attenuation index (FAI) model, were assessed for diagnostic accuracy via receiver operating characteristic (ROC) curves, calibration curves, and decision curves. RESULTS: Compared with the FAI model (AUC=0.564 in training, 0.518 in testing), the integrated radiomics model demonstrated superior diagnostic performance (area under the curve [AUC]=0.923 in training, 0.871 in testing). The AUC values of the integrated model were greater than those of the individual coronary radiomics models, with all the models showing goodness of fit (P > 0.05). The decision curves indicated greater clinical utility of the radiomics models than the FAI model. CONCLUSION: PCAT radiomics models derived from CCTA data are highly valuable for predicting future MACE risk and significantly outperform the FAI model.

Association of Cardiac Troponin T With Coronary Atherosclerosis in Asymptomatic Primary Prevention People With HIV.

Background: Coronary plaque is common among people with HIV (PWH) with low-to-moderate traditional atherosclerotic cardiovascular disease (ASCVD) risk. Objectives: The purpose of this study was to determine the association of high-sensitivity cardiac troponin T (hs-cTnT) levels with coronary plaque characteristics and evaluate if hs-cTnT improves identification of these features beyond traditional ASCVD risk factors among PWH. Methods: Among PWH receiving stable antiretroviral therapy with low-to-moderate ASCVD risk and no known history of ASCVD, hs-cTnT levels and measures of plaque by coronary computed tomography angiography were assessed. Primary outcomes included the association of hs-cTnT level with the presence of any plaque, vulnerable plaque, coronary artery calcium (CAC) score, and Leaman score. Assessment of model discrimination of hs-cTnT for plaque characteristics was also performed. Results: The cohort included 708 U.S. participants with a mean age of 51 ± 6 years, 119 (17%) females, a median ASCVD risk score of 4.4% (Q1-Q3: 2.5%-6.6%), and a median hs-cTnT level of 6.7 ng/L (detectable level ≥6 ng/L in 61%). Any plaque was present in 341 (48%), vulnerable plaque in 155 (22%), CAC>100 in 68 (10%), and a Leaman score >5 in 105 (15%). After adjustment for ASCVD risk score, participants with hs-cTnT >9.6 ng/L (highest category) versus an undetectable level (<6 ng/L) had a greater relative risk for any plaque (1.37, 95% CI: 1.12-1.67), vulnerable plaque (1.47, 95% CI: 1.16-1.87), CAC>100 (2.58, 95% CI: 1.37-4.83), and Leaman score >5 (2.13, 95% CI: 1.32-3.46). The addition of hs-cTnT level modestly improved the discrimination of ASCVD risk score to identify critical plaque features. Conclusions: In PWH without known ASCVD, hs-cTnT levels were strongly associated with and improved prediction of subclinical coronary plaque. (Evaluating the Use of Pitavastatin to Reduce the Risk of Cardiovascular Disease in HIV-Infected Adults [REPRIEVE]; NCT02344290).

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.

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).

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.

Successful chemical ablation for intraventricular septal ventricular tachycardia-An alternative approach to the septal branch.

Trans-coronary ethanol ablation for ventricular tachycardia originating from the ventricular septum is effective, but there are cases with no septal perforator from left anterior descending artery. CT and angiography can reveal the optimal vessel.

STress computed tomogRaphy perfusion and stress cArdiac magnetic resonance for ThE manaGement of suspected or known coronarY artery disease: resources and outcomes impact.

BACKGROUND: The aim of this study is to describe resources and outcomes of coronary computed tomography angiography plus Stress CT perfusion (CCTA â€‹+ â€‹Stress-CTP) and stress cardiovascular magnetic resonance (Stress-CMR) in symptomatic patients with suspected or known CAD. METHODS: Six hundred and twenty-four consecutive symptomatic patients with intermediate to high-risk pretest likelihood for CAD or previous history of revascularization referred to our hospital for clinically indicated CCTA â€‹+ â€‹Stress-CTP or Stress-CMR were enrolled. Stress-CTP scans were performed in 223 patients while 401 patients performed Stress-CMR. Patient follow-up was performed at 1 year after index test performance. Endpoints were all cardiac events, as a combined endpoint of revascularization, non-fatal MI and death, and hard cardiac events, as combined endpoint of non-fatal MI and death. RESULTS: Twenty-nine percent of patients who underwent CCTA â€‹+ â€‹Stress-CTP received revascularization, 7% of subjects assessed with Stress-CMR were treated invasively, and a low number of non-fatal MI and death was observed with both strategies (hard events in 0.4% of patients that had CCTA â€‹+ â€‹Stress-CTP as index test, and in 3% of patients evaluated with Stress-CMR). According to the predefined endpoints, CCTA â€‹+ â€‹Stress-CTP group showed high rate of all cardiac events and low rate of hard cardiac events, respectively. The cumulative costs were 1970 â€‹± â€‹2506 Euro and 733 â€‹± â€‹1418 Euro for the CCTA â€‹+ â€‹Stress-CTP group and Stress-CMR group, respectively. CONCLUSIONS: The use of CCTA â€‹+ â€‹Stress-CTP strategy was associated with high referral to revascularization but with a favourable trend in terms of hard cardiac events and diagnostic yield in identifying individuals at lower risk of adverse events despite the presence of CAD.

Segmentation of coronary artery based on discriminative frequency learning and coronary-geometric refinement.

Coronary artery segmentation is crucial for physicians to identify and locate plaques and stenosis using coronary computed tomography angiography (CCTA). However, the low contrast of CCTA images and the intricate structures of coronary arteries make this task challenging. To address these difficulties, we propose a novel model, the DFS-PDS network. This network comprises two subnetworks: a discriminative frequency segment subnetwork (DFS) and a position domain scales subnetwork (PDS). DFS introduced a gated mechanism within the feed-forward network, leveraging the Joint Photographic Experts Group (JPEG) compression algorithm, to discriminatively determine which low- and high-frequency information of the features should be preserved for latent image segmentation. The PDS aims to learn the shape prototype by predicting the radius. Additionally, our model has the consistent ability to guarantee region and boundary features through boundary consistency loss. During training, both subnetworks are optimized jointly, and in the testing stage, the coarse segmentation and radius prediction are produced. A coronary-geometric refinement method refines the segmentation masks by leveraging the shape prior to being reconstructed from the radius map, reducing the difficulty of segmenting coronary artery structures from complex surrounding structures. The DFS-PDS network is compared with state-of-the-art (SOTA) methods on two coronary artery datasets to evaluate its performance. The experimental results demonstrate that the DFS-PDS network performs better than the SOTA models, including Vnet, nnUnet, DDT, CS2-Net, Unetr, and CAS-Net, in terms of Dice or connectivity evaluation metrics.

The predictive value of coronary computed tomography angiography-derived fractional flow reserve for perioperative cardiac events in lung cancer surgery.

PURPOSE: As a non-invasive coronary functional examination, coronary computed tomography angiography (CCTA)-derived fractional flow reserve (CT-FFR) showed predictive value in several non-cardiac surgeries. This study aimed to evaluate the predictive value of CT-FFR in lung cancer surgery. METHOD: We retrospectively collected 227 patients from January 2017 to June 2022 and used machine learning-based CT-FFR to evaluate the stable coronary artery disease (CAD) patients undergoing lung cancer surgery. The major adverse cardiac event (MACE) was defined as perioperative myocardial injury (PMI), myocardial infarction, heart failure, atrial and ventricular arrhythmia with hemodynamic disorder, cardiogenic shock and cardiac death. The multivariate logistic regression analysis was performed to identify risk factors for MACE and PMI. The discriminative capacity, goodness-of-fit, and reclassification improvement of prediction model were determined before and after the addition of CT-FFR≤0.8. RESULTS: The incidence of MACE was 20.7 % and PMI was 15.9 %. CT-FFR significantly outperformed CCTA in terms of accuracy for predicting MACE (0.737 vs 0.524). In the multivariate regression analysis, CT-FFR≤0.8 was an independent risk factor for both MACE [OR=10.77 (4.637, 25.016), P<0.001] and PMI [OR=8.255 (3.372, 20.207), P<0.001]. Additionally, we found that the performance of prediction model for both MACE and PMI improved after the addition of CT-FFR. CONCLUSIONS: CT-FFR can be used to assess the risk of perioperative MACE and PMI in patients with stable CAD undergoing lung cancer surgery. It adds prognostic information in the cardiac evaluation of patients undergoing lung cancer surgery.