Mitral regurgitation (MR) is a broadly diffuse valvular heart disease (VHD) with a significant impact on the healthcare system and patient prognosis. Transcatheter mitral valve interventions (TMVI) are now well-established techniques included in the therapeutic armamentarium for managing patients with mitral regurgitation, either primary or functional MR. Even if the guidelines give indications regarding the correct management of this VHD, the wide heterogeneity of patients\' clinical backgrounds and valvular and heart anatomies make each patient a unique case, in which the appropriate device\'s selection requires a multimodal imaging evaluation and a multidisciplinary discussion. Proper pre-procedural evaluation plays a pivotal role in judging the feasibility of TMVI, while a cooperative work between imagers and interventionalist is also crucial for procedural success. This manuscript aims to provide an exhaustive overview of the main parameters that need to be evaluated for appropriate device selection, pre-procedural planning, intra-procedural guidance and post-operative assessment in the setting of TMVI. In addition, it tries to give some insights about future perspectives for structural cardiovascular imaging.

A ureterocele is a congenital abnormality in which there is abnormal dilatation of the distalmost portion of the ureter, as it enters the urinary bladder. Patients present with frequent urinary tract infections, urinary retention, cyclical abdominal pains, failure to thrive, and hematuria. Ureteroceles are often diagnosed on antenatal ultrasound and sometimes postnatally on ultrasounds done in the setting of a urinary tract infection. This case describes a 51-year-old female who presented with recurrent urinary tract infections. Subsequent imaging with ultrasound, intravenous urogram, and computed tomography demonstrated features typical for bilateral ureteroceles.

UNASSIGNED: Primary intimal sarcomas of the heart are extremely rare and have a dismal prognosis. Their management represents a complex clinical challenge since complete surgical resection is the only reliable possibility of cure but is only possible in 50% of patients. In non-resectable disease, anthracycline-based therapy is the most effective treatment, but pazopanib may be used in patients unfit to receive anthracyclines.
UNASSIGNED: A 38-year-old man presented with acute right heart failure symptoms due to a primary intimal sarcoma of the heart. A definite diagnosis was made after cardiac surgery. Multi-modality cardiac imaging showed early recurrence of disease with mitral valve and pulmonary veins\' invasion, and the patient was deemed inoperable. Due to chronic kidney disease and previous heart failure symptoms, he was started on first-line pazopanib palliative treatment. After 11 months of chemotherapy, there was good clinical tolerance and no evidence of disease progression, which occurred after 13 months.
UNASSIGNED: This case highlights the value of a multi-modality imaging approach for cardiac masses. Most importantly, it reports the successful treatment of a young patient with a primary intimal sarcoma of the heart who was started on palliative pazopanib, with a significantly higher progression-free survival than is reported in the literature. This finding may support pazopanib as a good alternative as first-line treatment when there is contraindication for anthracycline-based chemotherapy.

Hypertrophic cardiomyopathy (HCM) is characterized by abnormal growth of the myocardium with myofilament disarray and myocardial hyper-contractility, leading to left ventricular hypertrophy and fibrosis. Where culprit genes are identified, they typically relate to cardiomyocyte sarcomere structure and function. Multi-modality imaging plays a crucial role in the diagnosis, monitoring, and risk stratification of HCM, as well as in screening those at risk. Following the recent publication of the first European Society of Cardiology (ESC) cardiomyopathy guidelines, we build on previous reviews and explore the roles of electrocardiography, echocardiography, cardiac magnetic resonance (CMR), cardiac computed tomography (CT), and nuclear imaging. We examine each modality\'s strengths along with their limitations in turn, and discuss how they can be used in isolation, or in combination, to facilitate a personalized approach to patient care, as well as providing key information and robust safety and efficacy evidence within new areas of research.

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UNASSIGNED: Cardiac pseudoaneurysms are a potentially life-threatening pathology with a variety of non-specific clinical manifestations. This case series uniquely shares a collection of rare pathologies with differing preceding risk factors and presentations, with an emphasis on the utility of multi-modality imaging in diagnosis and management.
UNASSIGNED: We present three cases of cardiac pseudoaneurysms. Case 1 is a 27-year-old woman with delayed presentation of a traumatic left ventricular pseudoaneurysm (LVP). Case 2 is a 73-year-old man with post-myocardial infarction LVP. Case 3 is a 38-year-old man with left ventricular outflow tract pseudoaneurysm after aortic valve replacement.
UNASSIGNED: Cardiac pseudoaneurysms are rare and important to diagnose in a timely manner. Advances in non-invasive imaging modalities have improved our ability to distinguish pseudoaneurysms from other pathologies, leading to more timely management.

Variability in relationship of tau-based neurofibrillary tangles (T) and neurodegeneration (N) in Alzheimer\'s disease (AD) arises from non-specific nature of N, modulated by non-AD co-pathologies, age-related changes, and resilience factors.
We used regional T-N residual patterns to partition 184 patients within the Alzheimer\'s continuum into data-driven groups. These were compared with groups from 159 non-AD (amyloid \"negative\") patients partitioned using cortical thickness, and groups in 98 patients with ante mortem MRI and post mortem tissue for measuring N and T, respectively. We applied the initial T-N residual model to classify 71 patients in an independent cohort into predefined groups.
AD groups displayed spatial T-N mismatch patterns resembling neurodegeneration patterns in non-AD groups, similarly associated with non-AD factors and diverging cognitive outcomes. In the autopsy cohort, limbic T-N mismatch correlated with TDP-43 co-pathology.
T-N mismatch may provide a personalized approach for determining non-AD factors associated with resilience/vulnerability in AD.

More than 500 000 cardiovascular implantable electronic devices (CIEDs) are implanted in the European Society of Cardiology countries each year. The role of cardiovascular imaging in patients being considered for CIED is distinctly different from imaging in CIED recipients. In the former group, imaging can help identify specific or potentially reversible causes of heart block, the underlying tissue characteristics associated with malignant arrhythmias, and the mechanical consequences of conduction delays and can also aid challenging lead placements. On the other hand, cardiovascular imaging is required in CIED recipients for standard indications and to assess the response to device implantation, to diagnose immediate and delayed complications after implantation, and to guide device optimization. The present clinical consensus statement (Part 1) from the European Association of Cardiovascular Imaging, in collaboration with the European Heart Rhythm Association, provides comprehensive, up-to-date, and evidence-based guidance to cardiologists, cardiac imagers, and pacing specialists regarding the use of imaging in patients undergoing implantation of conventional pacemakers, cardioverter defibrillators, and resynchronization therapy devices. The document summarizes the existing evidence regarding the use of imaging in patient selection and during the implantation procedure and also underlines gaps in evidence in the field. The role of imaging after CIED implantation is discussed in the second document (Part 2).

Aggregation-induced emission luminogens (AIEgens) in the second near-infrared region (NIR-II,1000-1700 nm) have shown tremendous potential as theragnostic probe for tumor multimodal diagnostic imaging and combined treatment owing to their programmable optical, structural and functional properties. Herein, we presented a radionuclide 177 Lu-labeled AIEgen, 177 Lu-2TT-oC6B dots, for NIR-II fluorescence and SPECT/CT imaging-guided tumor photothermal and radiopharmaceutical therapy. Intriguingly, 177 Lu-2TT-oC6B self-assembled into 10 nm dots, exhibited high NIR-II fluorescence quantum yield (QY, 1.34 %) and unprecedented photothermal conversion efficiency (PCE, 70.3 %) in vitro, furtherly performed extremely long blood circulation (T1/2 =52.4 h), persistent tumor accumulation and retention in tumor (NIR-II SNR=5.56; SPECT SNR=36.59) via intravenous administration in vivo. Furthermore, upon NIR light activation and 177 Lu irradiation, 177 Lu-2TT-oC6B demonstrated great application potential in synergistic photothermal/radiopharmaceutical tumor therapy.

Dynamic resting state functional connectivity (RSFC) characterizes time-varying fluctuations of functional brain network activity. While many studies have investigated static functional connectivity, it has been unclear whether features of dynamic functional connectivity are associated with neurodegenerative diseases. Popular sliding-window and clustering methods for extracting dynamic RSFC have various limitations that prevent extracting reliable features to address this question. Here, we use a novel and robust time-varying dynamic network (TVDN) approach to extract the dynamic RSFC features from high resolution magnetoencephalography (MEG) data of participants with Alzheimer\'s disease (AD) and matched controls. The TVDN algorithm automatically and adaptively learns the low-dimensional spatiotemporal manifold of dynamic RSFC and detects dynamic state transitions in data. We show that amongst all the functional features we investigated, the dynamic manifold features are the most predictive of AD. These include: the temporal complexity of the brain network, given by the number of state transitions and their dwell times, and the spatial complexity of the brain network, given by the number of eigenmodes. These dynamic features have higher sensitivity and specificity in distinguishing AD from healthy subjects than the existing benchmarks do. Intriguingly, we found that AD patients generally have higher spatial complexity but lower temporal complexity compared with healthy controls. We also show that graph theoretic metrics of dynamic component of TVDN are significantly different in AD versus controls, while static graph metrics are not statistically different. These results indicate that dynamic RSFC features are impacted in neurodegenerative disease like Alzheimer\'s disease, and may be crucial to understanding the pathophysiological trajectory of these diseases.