Multimodality imaging for the evaluation and management of patients with long-term (durable) left ventricular assist devices A Clinical Consensus Statement of the European Association of Cardiovascular Imaging (EACVI) of the ESC.

Left ventricular assist devices (LVADs) are gaining increasing importance as therapeutic strategy in advanced heart failure (HF), not only as bridge to recovery or to transplant, but also as destination therapy. Even though long-term LVADs are considered a precious resource to expand the treatment options and improve clinical outcome these patients, these are limited by peri-operative and post-operative complications, such as device-related infections, haemocompatibility-related events, device mispositioning and right ventricular failure. For this reason, a precise pre-operative, peri-operative and post-operative evaluation of these patients is crucial for the selection of LVADs candidates and the management LVADs recipients. The use of different imaging modalities offers important information to complete the study of patients with LVADs in each phase of their assessment, with peculiar advantages/disadvantages, ideal application and reference parameters for each modality. This clinical consensus statement sought to guide the use of multimodality imaging for the evaluation of patients with advanced HF undergoing LVADs implantation.

Can FDG-PET Imaging Identify Cardiac Sarcoidosis Disease Phenotypes?

PURPOSE OF REVIEW: Despite the scarcity of data, most guidelines have advocated for the treatment of cardiac sarcoidosis with corticosteroids. However, there is heterogeneity in disease presentation and response to treatment, which can make treatment challenging. The ability to identify disease phenotypes to allow for tailored therapy is therefore highly desirable. This review will seek to outline the disease phenotypes of cardiac sarcoidosis and the role that FDG-PET imaging can play in identifying these phenotypes to optimize disease diagnosis and treatment management. RECENT FINDINGS: FDG PET can identify cardiac sarcoidosis and is being increasingly used to monitor therapeutic response to immunosuppressive therapy, to follow treatment response after discontinuation of corticosteroid therapy, and to evaluate for disease relapse. Modern quantitative techniques using FDG PET imaging may allow for even better phenotypic disease characterization and the ability to track the response to immunosuppression more accurately. FDG PET currently plays an important role in cardiac sarcoidosis diagnosis. However, it also affords us the opportunity to offer insights into cardiac sarcoidosis disease phenotypes to better understand the underlying disease process and in the future may allows us to tailor therapies accordingly.

Chemotherapy Related Cardiotoxicity Evaluation-A Contemporary Review with a Focus on Cardiac Imaging.

The long-term survivorship of patients diagnosed with cancer has improved due to accelerated detection and rapidly evolving cancer treatment strategies. As such, the evaluation and management of cancer therapy related complications has become increasingly important, including cardiovascular complications. These have been captured under the umbrella term "cardiotoxicity" and include left ventricular dysfunction and heart failure, acute coronary syndromes, valvular abnormalities, pericardial disease, arrhythmia, myocarditis, and vascular complications. These complications add to the burden of cardiovascular disease (CVD) or are risk factors patients with cancer treatment are presenting with. Of note, both pre- and newly developing CVD is of prognostic significance, not only from a cardiovascular perspective but also overall, potentially impacting the level of cancer therapy that is possible. Currently, there are varying recommendations and practices regarding CVD risk assessment and mitigating strategies throughout the cancer continuum. This article provides an overview on this topic, in particular, the role of cardiac imaging in the care of the patient with cancer. Furthermore, it summarizes the current evidence on the spectrum, prevention, and management of chemotherapy-related adverse cardiac effects.

Accelerated cardiac magnetic resonance imaging using deep learning for volumetric assessment in children.

BACKGROUND: Ventricular volumetry using a short-axis stack of two-dimensional (D) cine balanced steady-state free precession (bSSFP) sequences is crucial in any cardiac magnetic resonance imaging (MRI) examination. This task becomes particularly challenging in children due to multiple breath-holds. OBJECTIVE: To assess the diagnostic performance of accelerated 3-RR cine MRI sequences using deep learning reconstruction compared with standard 2-D cine bSSFP sequences. MATERIAL AND METHODS: Twenty-nine consecutive patients (mean age 11 ± 5, median 12, range 1-17 years) undergoing cardiac MRI were scanned with a conventional segmented 2-D cine and a deep learning accelerated cine (three heartbeats) acquisition on a 1.5-tesla scanner. Short-axis volumetrics were performed (semi-)automatically in both datasets retrospectively by two experienced readers who visually assessed image quality employing a 4-point grading scale. Scan times and image quality were compared using the Wilcoxon rank-sum test. Volumetrics were assessed with linear regression and Bland-Altman analyses, and measurement agreement with intraclass correlation coefficient (ICC). RESULTS: Mean acquisition time was significantly reduced with the 3-RR deep learning cine compared to the standard cine sequence (45.5 ± 13.8 s vs. 218.3 ± 44.8 s; P < 0.001). No significant differences in biventricular volumetrics were found. Left ventricular (LV) mass was increased in the deep learning cine compared with the standard cine sequence (71.4 ± 33.1 g vs. 69.9 ± 32.5 g; P < 0.05). All volumetric measurements had an excellent agreement with ICC > 0.9 except for ejection fraction (EF) (LVEF 0.81, RVEF 0.73). The image quality of deep learning cine images was decreased for end-diastolic and end-systolic contours, papillary muscles, and valve depiction (2.9 ± 0.5 vs. 3.5 ± 0.4; P < 0.05). CONCLUSION: Deep learning cine volumetrics did not differ significantly from standard cine results except for LV mass, which was slightly overestimated with deep learning cine. Deep learning cine sequences result in a significant reduction in scan time with only slightly lower image quality.

Self-adaptive deep learning-based segmentation for universal and functional clinical and preclinical CT image analysis.

BACKGROUND: Methods to monitor cardiac functioning non-invasively can accelerate preclinical and clinical research into novel treatment options for heart failure. However, manual image analysis of cardiac substructures is resource-intensive and error-prone. While automated methods exist for clinical CT images, translating these to preclinical µCT data is challenging. We employed deep learning to automate the extraction of quantitative data from both CT and µCT images. METHODS: We collected a public dataset of cardiac CT images of human patients, as well as acquired µCT images of wild-type and accelerated aging mice. The left ventricle, myocardium, and right ventricle were manually segmented in the µCT training set. After template-based heart detection, two separate segmentation neural networks were trained using the nnU-Net framework. RESULTS: The mean Dice score of the CT segmentation results (0.925 ± 0.019, n = 40) was superior to those achieved by state-of-the-art algorithms. Automated and manual segmentations of the µCT training set were nearly identical. The estimated median Dice score (0.940) of the test set results was comparable to existing methods. The automated volume metrics were similar to manual expert observations. In aging mice, ejection fractions had significantly decreased, and myocardial volume increased by age 24 weeks. CONCLUSIONS: With further optimization, automated data extraction expands the application of (µ)CT imaging, while reducing subjectivity and workload. The proposed method efficiently measures the left and right ventricular ejection fraction and myocardial mass. With uniform translation between image types, cardiac functioning in diastolic and systolic phases can be monitored in both animals and humans.

Cardiac magnetic resonance in advanced heart failure.

Heart failure (HF) is a chronic and progressive disease that often progresses to an advanced stage where conventional therapy is insufficient to relieve patients' symptoms. Despite the availability of advanced therapies such as mechanical circulatory support or heart transplantation, the complexity of defining advanced HF, which requires multiple parameters and multimodality assessment, often leads to delays in referral to dedicated specialists with the result of a worsening prognosis. In this review, we aim to explore the role of cardiac magnetic resonance (CMR) in advanced HF by showing how CMR is useful at every step in managing these patients: from diagnosis to prognostic stratification, hemodynamic evaluation, follow-up and advanced therapies such as heart transplantation. The technical challenges of scanning advanced HF patients, which often require troubleshooting of intracardiac devices and dedicated scans, will be also discussed.

A Case of Stress-Induced Cardiomyopathy After Ketamine Infusion.

We report the case of a 64-year-old female with a history of hypothyroidism and isolated parotid sarcoidosis who presented with acute-onset chest pain and dyspnea. Echocardiogram demonstrated transiently reduced ejection fraction with apical hypokinesis, without evidence of obstructive coronary lesions on angiography, compatible with stress-induced cardiomyopathy. She received a ketamine infusion as a mental health treatment shortly before the development of symptoms, suggesting that this medication may have precipitated her cardiomyopathy. In recent years, ketamine has become a popular option for treating mental health disorders, including major depressive disorder and substance use disorders. It should be used with caution in patients with known cardiovascular disease, and its cardiac effects warrant further study.

Machine Learning of Cardiac Anatomy and the Risk of New-Onset Atrial Fibrillation After TAVR.

BACKGROUND: New-onset atrial fibrillation (NOAF) occurs in 5% to 15% of patients who undergo transfemoral transcatheter aortic valve replacement (TAVR). Cardiac imaging has been underutilized to predict NOAF following TAVR. OBJECTIVES: The objective of this analysis was to compare and assess standard, manual echocardiographic and cardiac computed tomography (cCT) measurements as well as machine learning-derived cCT measurements of left atrial volume index and epicardial adipose tissue as risk factors for NOAF following TAVR. METHODS: The study included 1,385 patients undergoing elective, transfemoral TAVR for severe, symptomatic aortic stenosis. Each patient had standard and machine learning-derived measurements of left atrial volume and epicardial adipose tissue from cardiac computed tomography. The outcome of interest was NOAF within 30 days following TAVR. We used a 2-step statistical model including random forest for variable importance ranking, followed by multivariable logistic regression for predictors of highest importance. Model discrimination was assessed by using the C-statistic to compare the performance of the models with and without imaging. RESULTS: Forty-seven (5.0%) of 935 patients without pre-existing atrial fibrillation (AF) experienced NOAF. Patients with pre-existing AF had the largest left atrial volume index at 76.3 ± 28.6 cm3/m2 followed by NOAF at 68.1 ± 26.6 cm3/m2 and then no AF at 57.0 ± 21.7 cm3/m2 (P < 0.001). Multivariable regression identified the following risk factors in association with NOAF: left atrial volume index ≥76 cm2 (OR: 2.538 [95% CI: 1.165-5.531]; P = 0.0191), body mass index <22 kg/m2 (OR: 4.064 [95% CI: 1.500-11.008]; P = 0.0058), EATv (OR: 1.007 [95% CI: 1.000-1.014]; P = 0.043), aortic annulus area ≥659 mm2 (OR: 6.621 [95% CI: 1.849-23.708]; P = 0.004), and sinotubular junction diameter ≥35 mm (OR: 3.891 [95% CI: 1.040-14.552]; P = 0.0435). The C-statistic of the model was 0.737, compared with 0.646 in a model that excluded imaging variables. CONCLUSIONS: Underlying cardiac structural differences derived from cardiac imaging may be useful in predicting NOAF following transfemoral TAVR, independent of other clinical risk factors.

The Role of Scintigraphy with Bone Radiotracers in Cardiac Amyloidosis.

Cardiac amyloidosis (CA) is caused by the myocardial deposition of misfolded proteins, either amyloid transthyretin (ATTR) or immunoglobulin light chains (AL). The paradigm of this condition has transformed, since CA is increasingly recognized as a relatively prevalent cause of heart failure. Cardiac scintigraphy with bone tracers is the unique noninvasive technique able to confirm CA without performing tissue biopsy or advanced imaging tests. A moderate-to-intense myocardial uptake (Perugini grade ≥2) associated with the absence of a monoclonal component is greater than 99% specific for ATTR-CA, while AL-CA confirmation requires tissue biopsy.

Integrated cardio-thoracic imaging curriculum for residents: Design, implementation, and analysis of test and evaluation results.

As the field of cardiac imaging has demonstrated exceptional growth over the past several decades, radiology departments and residency programs have struggled to integrate cardiac imaging instruction into training curricula. PURPOSE: To create an integrated cardio-thoracic teaching and lecture curriculum and resident rotation in accordance with AGGME and Society of Thoracic Radiology (STR) guidelines. MATERIALS AND METHODS: Consecutive PGY-2 to PGY-4 residents (n = 14) rotating through our Cardiothoracic Imaging (CTI) section from 1/1/2021 to 04/18/2022 were give pre- and post- rotation tests of knowledge and feedback evaluations. Attending feedback of the curriculum was obtained at 3-months and 9-months post curriculum implementation. A Wilcxon test was used to evaluate differences in improvement between pre- and post- rotation resident feedback scores, test scores for thoracic and cardiac test questions in addition to attending feedback scores at 3 and 9-months post curriculum implementation. RESULTS: The overall post-rotation scores in addition to thoracic only and cardiac only scores improved, with the difference between improved versus stable or decreased scores being statistically significant overall (P = 0.039) and for cardiac scores (P = 0.003), but not for thoracic scores (P = 0.22). The overall (P = 0.002), thoracic (P = 0.027), and cardiac (P = 0.026) resident feedback scores were significantly improved post-rotation. Similarly, the overall attending feedback scores significantly improved over time (P = 0.021). CONCLUSION: An integrated Cardio-thoracic Imaging teaching curriculum was well received by both residents and attendings with significant improvement in post rotation feedback scores by both groups. Moreover, residents demonstrated improved scores on knowledge tests post rotation.

The Emerging Specialty of Cardio-Rheumatology.

PURPOSE OF REVIEW: In this review, we aimed to summarize the different aspects of the field of cardio-rheumatology, the role of the cardio-rheumatologist, and future research in the field. RECENT FINDINGS: Cardio-rheumatology is an emerging subspecialty within cardiology that focuses on addressing the intricate relationship between systemic inflammation and cardiovascular diseases. It involves understanding the cardiovascular impact of immune-mediated inflammatory diseases on the heart and vascular system. A cardio-rheumatologist's role is multifaceted. First, they should understand the cardiac manifestations of rheumatological diseases. They should also be knowledgeable about the different immunotherapies available and side effects. Additionally, they should know how to utilize imaging modalities, either for diagnosis, prognosis, or treatment monitoring. This field is constantly evolving with new research on both treatment and imaging of the effects of inflammation on the cardiovascular system.

Diagnostic Challenges in Aortic Stenosis.

Aortic stenosis (AS) is the most prevalent degenerative valvular disease in western countries. Transthoracic echocardiography (TTE) is considered, nowadays, to be the main imaging technique for the work-up of AS due to high availability, safety, low cost, and excellent capacity to evaluate aortic valve (AV) morphology and function. Despite the diagnosis of AS being considered straightforward for a very long time, based on high gradients and reduced aortic valve area (AVA), many patients with AS represent a real dilemma for cardiologist. On the one hand, the acoustic window may be inadequate and the TTE limited in some cases. On the other hand, a growing body of evidence shows that patients with low gradients (due to systolic dysfunction, concentric hypertrophy or coexistence of another valve disease such as mitral stenosis or regurgitation) may develop severe AS (low-flow low-gradient severe AS) with a similar or even worse prognosis. The use of complementary imaging techniques such as transesophageal echocardiography (TEE), multidetector computed tomography (MDTC), or cardiac magnetic resonance (CMR) plays a key role in such scenarios. The aim of this review is to summarize the diagnostic challenges associated with patients with AS and the advantages of a comprehensive multimodality cardiac imaging (MCI) approach to reach a precise grading of the disease, a crucial factor to warrant an adequate management of patients.

CT-derived Fractional Flow Reserve: How, When, and Where to use this Novel Cardiac Imaging Tool.

Fractional flow reserve computed tomography (FFRCT) is a novel imaging modality. It utilizes computational fluid dynamics analysis of coronary blood flow obtained from CCTA images to estimate the decrease in pressure across coronary stenosis during the maximum hyperemia. The FFRCT can serve as a valuable tool in the assessment of coronary artery disease (CAD). This non-invasive option can be used as an alternative to the invasive fractional Flow Reserve (FFR) evaluation, which is presently considered the gold standard for evaluating the physiological significance of coronary stenoses. It can help in several clinical situations, including Assessment of Acute and stable chest pain, virtual planning for coronary stenting, and treatment decision-making. Although FFRCT has demonstrated potential clinical applications as a non-invasive imaging technique, it is also crucial to acknowledge its limitations in clinical practice. As a result, it is imperative to meticulously evaluate the advantages and drawbacks of FFRCT individually and contemplate its application in combination with other diagnostic examinations and clinical data.

Spontaneous Migration of Ventriculoperitoneal Shunt Into the Right Heart and Pulmonary Vasculature.

A 73-year-old woman with ventriculoperitoneal (VP) shunt presented for stress echocardiogram for evaluation of chest pain. Transthoracic echocardiogram revealed an incidental right heart mass representing a migrated VP shunt. This case highlights the role of multimodality cardiac imaging in diagnosing right heart masses and the multidisciplinary approach to management.

A Case of Left Ventricular Pseudoaneurysm as a Complication of Late-Presenting ST-Segment Elevation Myocardial Infarction.

This case report delineates the clinical trajectory and management strategies of a 59-year-old Hispanic male diagnosed with a left ventricular pseudoaneurysm (LVPA) following a delayed presentation of ST-segment elevation myocardial infarction (STEMI), for which reperfusion treatment was not administered. Initially, an echocardiogram demonstrated an extensive anterolateral myocardial infarction, severe left ventricular systolic dysfunction, and an early-stage left ventricular apical aneurysm with thrombus, leading to the initiation of warfarin. Metabolic myocardial perfusion imaging via positron emission tomography indicated a substantial myocardial scar without viability, guiding the decision against revascularization. Post discharge, the patient, equipped with a wearable cardioverter defibrillator for sudden cardiac death prevention, experienced symptomatic ventricular tachycardia, which was resolved with defibrillator shocks. Subsequent imaging revealed an acute LVPA adjacent to the existing left ventricular aneurysm. Given the high surgical risk, conservative management was elected, resulting in thrombosis and closure of the pseudoaneurysm after two weeks. The patient eventually transitioned to home hospice, surviving an additional five months. This report underscores the complexities and therapeutic dilemmas in managing post-MI LVPA patients who are ineligible for surgical intervention.

Synthetic hematocrit from virtual non-contrast images for myocardial extracellular volume evaluation with photon-counting detector CT.

OBJECTIVES: To assess the accuracy of a synthetic hematocrit derived from virtual non-contrast (VNC) and virtual non-iodine images (VNI) for myocardial extracellular volume (ECV) computation with photon-counting detector computed tomography (PCD-CT). MATERIALS AND METHODS: Consecutive patients undergoing PCD-CT including a coronary CT angiography (CCTA) and a late enhancement (LE) scan and having a blood hematocrit were retrospectively included. In the first 75 patients (derivation cohort), CCTA and LE scans were reconstructed as VNI at 60, 70, and 80 keV and as VNC with quantum iterative reconstruction (QIR) strengths 2, 3, and 4. Blood pool attenuation (BPmean) was correlated to blood hematocrit. In the next 50 patients (validation cohort), synthetic hematocrit was calculated using BPmean. Myocardial ECV was computed using the synthetic hematocrit and compared with the ECV using the blood hematocrit as a reference. RESULTS: In the derivation cohort (49 men, mean age 79 ± 8 years), a correlation between BPmean and blood hematocrit ranged from poor for VNI of CCTA at 80 keV, QIR2 (R2 = 0.12) to moderate for VNI of LE at 60 keV, QIR4; 70 keV, QIR3 and 4; and VNC of LE, QIR3 and 4 (all, R2 = 0.58). In the validation cohort (29 men, age 75 ± 14 years), synthetic hematocrit was calculated from VNC of the LE scan, QIR3. Median ECV was 26.9% (interquartile range (IQR), 25.5%, 28.8%) using the blood hematocrit and 26.8% (IQR, 25.4%, 29.7%) using synthetic hematocrit (VNC, QIR3; mean difference, -0.2%; limits of agreement, -2.4%, 2.0%; p = 0.33). CONCLUSION: Synthetic hematocrit calculated from VNC images enables an accurate computation of myocardial ECV with PCD-CT. CLINICAL RELEVANCE STATEMENT: Virtual non-contrast images from cardiac late enhancement scans with photon-counting detector CT allow the calculation of a synthetic hematocrit, which enables accurate computation of myocardial extracellular volume. KEY POINTS: Blood hematocrit is mandatory for conventional myocardial extracellular volume computation. Synthetic hematocrit can be calculated from virtual non-iodine and non-contrast photon-counting detector CT images. Synthetic hematocrit from virtual non-contrast images enables computation of the myocardial extracellular volume.

CT imaging post-TAVI: Murphy's first law in action-preparing to recognize the unexpected.

Transfemoral aortic valve implantation (TAVI) has been long considered the standard of therapy for high-risk patients with severe aortic-stenosis and is now effectively employed in place of surgical aortic valve replacement also in intermediate-risk patients. The potential lasting consequences of minor complications, which might have limited impact on elderly patients, could be more noteworthy in the longer term when occurring in younger individuals. That's why a greater focus on early diagnosis, correct management, and prevention of post-procedural complications is key to achieve satisfactory results. ECG-triggered multidetector computed tomography angiography (CTA) is the mainstay imaging modality for pre-procedural planning of TAVI and is also used for post-interventional early detection of both acute and long-term complications. CTA allows detailed morphological analysis of the valve and its movement throughout the entire cardiac cycle. Moreover, stent position, coronary artery branches, and integrity of the aortic root can be precisely evaluated. Imaging reliability implies the correct technical setting of the computed tomography scan, knowledge of valve type, normal post-interventional findings, and awareness of classic and life-threatening complications after a TAVI procedure. This educational review discusses the main post-procedural complications of TAVI with a specific imaging focus, trying to clearly describe the technical aspects of CTA Imaging in post-TAVI and its clinical applications and challenges, with a final focus on future perspectives and emerging technologies. CRITICAL RELEVANCE STATEMENT: This review undertakes an analysis of the role computed tomography angiography (CTA) plays in the assessment of post-TAVI complications. Highlighting the educational issues related to the topic, empowers radiologists to refine their clinical approach, contributing to enhanced patient care. KEY POINTS: Prompt recognition of TAVI complications, ranging from value issues to death, is crucial. Adherence to recommended scanning protocols, and the optimization of tailored protocols, is essential. CTA is central in the diagnosis of TAVI complications and functions as a gatekeeper to treatment.

Primary diffuse large B-cell lymphoma of the heart: A rare case of heart failure.

A 65-year-old man with previous history of smoking, controlled HIV infection, treated hepatitis B infection, and type III cryoglobulinemia, was admitted due to right heart failure symptoms and significant weight loss. Despite being haemodynamically stable, he had periods of 1:1 conduction atrial flutter and presented with respiratory alkalosis and metabolic acidosis, as well as acute kidney and hepatic dysfunction, elevated D-dimer and cardiac markers. He underwent imaging with chest computed tomography and echocardiogram that confirmed pulmonary embolism and most notably revealed a significant sized cardiac mass causing almost complete obstruction of the right chambers, with no cleavage plane with the myocardial walls and tricuspid valve. Cardiac magnetic resonance was highly suggestive of malignancy. Cardiac surgery for mass excision and endomyocardial biopsy for diagnosis were considered, but the patient died with obstructive shock unresponsive to medical treatment. The autopsy revealed a primary unspecified diffuse large B-cell lymphoma.

Cardio-oncology and radiation oncology: How collaboration between cardiologists and oncologists can be realised in radiation oncology.

Increased survivorship, improvements in cancer treatments, and the potential for cardiac side effects from cancer treatments have resulted in increased collaboration between oncologists and cardiologists and the development of cardio-oncology clinics. This collaboration is important given its role in ensuring greater patient satisfaction, aiding teams of clinicians in making complex treatment decision, and ensuring cardiac complications are diagnosed at an early stage. The particularities of implementing this collaboration in the field of radiation oncology and how this setting is different from other areas of cardio-oncology have not been well detailed in the literature. This paper will discuss what is currently understood about the need for and role of cardio-oncology and what a cardio-oncology services involves, with a particular emphasis on patient and clinician needs in the field of radiation oncology. The literature and recent guidelines do advocate for a detailed baseline assessment of cancer patients undergoing radiotherapy, especially patients with treatment or patient risk factors that increase their risk of cancer-therapy related cardiotoxicity. Advancements in cardiac imaging techniques will be discussed as these may help to diagnose cardiac side effects of certain cancer treatments, including radiotherapy, at an early stage. A multi-disciplinary and collaborative approach is well received by patients and such an approach, guided by the aim of maintaining a patient's cancer treatment wherever possible, should be the cornerstone of cardio-oncology clinics regardless of the patient's treatment regime.