Cardiac masses are rare entities that can be broadly categorized as either neoplastic or non-neoplastic. Neoplastic masses include benign and malignant tumors. In the heart, metastatic tumors are more common than primary malignant tumors. Whether incidentally found or diagnosed as a result of patients’ symptoms, cardiac masses can be identified and further characterized by a range of cardiovascular imaging options. While echocardiography remains the first-line imaging modality, cardiac computed tomography (cardiac CT) has become an increasingly utilized modality for the assessment of cardiac masses, especially when other imaging modalities are non-diagnostic or contraindicated. With high isotropic spatial and temporal resolution, fast acquisition times, and multiplanar image reconstruction capabilities, cardiac CT offers an alternative to cardiovascular magnetic resonance imaging in many patients. Additionally, cardiac masses may be incidentally discovered during cardiac CT for other reasons, requiring imagers to understand the unique features of a diverse range of cardiac masses. Herein, we define the characteristic imaging features of commonly encountered and selected cardiac masses and define the role of cardiac CT among noninvasive imaging options.

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Key to bringing psychological science to bear on public policy is developing scholars’ engagement and rapport with policymakers. Scholars benefit from support navigating the policy arena in ways that strengthen their independent policy engagement. This study presents findings from a randomized controlled trial of the Research-to-Policy Collaboration (RPC) model, which develops and trains a rapid response network of researchers to respond to legislative requests for scientific evidence. Researchers were surveyed on their concerns about how policymakers support or use scientific research, how they engaged with policymakers, and perceived benefits to their research. Researchers randomized to the RPC reported fewer concerns about policymakers’ support and use of research, greater involvement in supporting policymakers’ understanding of problems (i.e., conceptual use), and more responses to external prompts for their involvement. Subgroup analyses examined how experiences differed for those identifying as Black, Indigenous, or Person of Color (BIPOC). At baseline, BIPOC-identifying researchers perceived greater costs of policy engagement and reported less involvement in supporting conceptual or instrumental uses of research than White-identifying researchers. Subsequent to the RPC, BIPOC-identifying researchers in the intervention group were reportedly less concerned about federal support of science, more engaged in supporting conceptual uses of research, and perceived greater benefits of policy engagement for their research than BIPOC-identifying researchers in the control group. These differences were not observed among White-identifying researchers. Findings are discussed in light of disparities experienced by marginalized scholars, the ways in which resources and supports may counteract these challenges, and possible strategies to strengthen public psychology overall.

Sinus venosus atrial septal defects (SV-ASD) have nonspecific clinical presentations and represent a diagnostic imaging challenge. Transthoracic echocardiography (TTE) remains the initial diagnostic imaging modality. However, detection rates have been as low as 12%. Transesophageal echocardiography (TEE) improves diagnostic accuracy though it may not detect commonly associated partial anomalous pulmonary venous return (PAPVR). Cardiac magnetic resonance (CMR) imaging provides a noninvasive, highly sensitive and specific imaging modality of SV-ASD. We describe a case of an adult male with exercise-induced, paroxysmal supraventricular tachycardia who presented with palpitations and dyspnea. Despite nondiagnostic imaging results on TTE, CMR proved to be instrumental in visualizing a hemodynamically significant SV-ASD with PAPVR that ultimately led to surgical correction.

This paper continues an initiative conducted by the International Society for Disease Surveillance with funding from the Defense Threat Reduction Agency to connect near-term analytical needs of public health practice with technical expertise from the global research community. The goal is to enhance investigation capabilities of day-to-day population health monitors. A prior paper described the formation of consultancies for requirements analysis and dialogue regarding costs and benefits of sustainable analytic tools. Each funded consultancy targets a use case of near-term concern to practitioners. The consultancy featured here focused on improving predictions of asthma exacerbation risk in demographic and geographic subdivisions of the city of Boston, Massachusetts, USA based on the combination of known risk factors for which evidence is routinely available. A cross-disciplinary group of 28 stakeholders attended the consultancy on March 30-31, 2016 at the Boston Public Health Commission. Cross-Disciplinary Consultancy to Enhance Predictions of Asthma Exacerbation Risk in Boston OJPHIKnown asthma exacerbation risk factors are upper respiratory virus transmission, particularly in school-age children, harsh or extreme weather conditions, and poor air quality. Meteorological subject matter experts described availability and usage of data sources representing these risk factors. Modelers presented multiple analytic approaches including mechanistic models, machine learning approaches, simulation techniques, and hybrids. Health department staff and local partners discussed surveillance operations, constraints, and operational system requirements. Attendees valued the direct exchange of information among public health practitioners, system designers, and modelers. Discussion finalized design of an 8-year de-identified dataset of Boston ED patient records for modeling partners who sign a standard data use agreement.