Challenges and opportunities for early career medical professionals in cardiovascular magnetic resonance (CMR) imaging: a white paper from the Society for Cardiovascular Magnetic Resonance.

The early career professionals in the field of Cardiovascular Magnetic Resonance (CMR) face unique challenges and hurdles while establishing their careers in the field. The Society for Cardiovascular Magnetic Resonance (SCMR) has expanded the role of the early career section within the society to foster the careers of future CMR leaders. This paper aims to describe the obstacles and available opportunities for the early career CMR professionals worldwide. Societal opportunities and actions targeted at the professional advancement of the early career CMR imagers are needed to ensure continuous growth of CMR as an imaging modality globally.

Cardiovascular disease in women: insights from magnetic resonance imaging.

The presentation and identification of cardiovascular disease in women pose unique diagnostic challenges compared to men, and underrecognized conditions in this patient population may lead to clinical mismanagement.This article reviews the sex differences in cardiovascular disease, explores the diagnostic and prognostic role of cardiovascular magnetic resonance (CMR) in the spectrum of cardiovascular disorders in women, and proposes the added value of CMR compared to other imaging modalities. In addition, this article specifically reviews the role of CMR in cardiovascular diseases occurring more frequently or exclusively in female patients, including Takotsubo cardiomyopathy, connective tissue disorders, primary pulmonary arterial hypertension and peripartum cardiomyopathy. Gaps in knowledge and opportunities for further investigation of sex-specific cardiovascular differences by CMR are also highlighted.

Imaging of Pulmonary Manifestations of Connective Tissue Disease.

The majority of connective tissue diseases (CTDs) are multisystem disorders that are often heterogeneous in their presentation and do not have a single laboratory, histologic, or radiologic feature that is defined as the gold standard to support a specific diagnosis. Given this challenging situation, the diagnosis of CTD is a process that requires the synthesis of multidisciplinary data which may include patient clinical symptoms, serologic evaluation, laboratory testing, and imaging. Pulmonary manifestations of connective tissue disease include interstitial lung disease as well as multicompartmental manifestations. These CT imaging patterns and features of specific diseases will be discussed in this article.

ACR Appropriateness Criteria® Preprocedural Planning for Left Atrial Procedures in Atrial Fibrillation.

This document summarizes the relevant literature for the selection of preprocedural imaging in three clinical scenarios in patients needing endovascular treatment or cardioversion of atrial fibrillation. These clinical scenarios include preprocedural imaging prior to radiofrequency ablation; prior to left atrial appendage occlusion; and prior to cardioversion. The appropriateness of imaging modalities as they apply to each clinical scenario is rated as usually appropriate, may be appropriate, and usually not appropriate to assist the selection of the most appropriate imaging modality in the corresponding clinical scenarios. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.

Persistent mucus plugs in proximal airways are consequential for airflow limitation in asthma.

BACKGROUNDInformation about the size, airway location, and longitudinal behavior of mucus plugs in asthma is needed to understand their role in mechanisms of airflow obstruction and to rationally design muco-active treatments.METHODSCT lung scans from 57 patients with asthma were analyzed to quantify mucus plug size and airway location, and paired CT scans obtained 3 years apart were analyzed to determine plug behavior over time. Radiologist annotations of mucus plugs were incorporated in an image-processing pipeline to generate size and location information that was related to measures of airflow.RESULTSThe length distribution of 778 annotated mucus plugs was multimodal, and a 12 mm length defined short ("stubby", ≤12 mm) and long ("stringy", >12 mm) plug phenotypes. High mucus plug burden was disproportionately attributable to stringy mucus plugs. Mucus plugs localized predominantly to airway generations 6-9, and 47% of plugs in baseline scans persisted in the same airway for 3 years and fluctuated in length and volume. Mucus plugs in larger proximal generations had greater effects on spirometry measures than plugs in smaller distal generations, and a model of airflow that estimates the increased airway resistance attributable to plugs predicted a greater effect for proximal generations and more numerous mucus plugs.CONCLUSIONPersistent mucus plugs in proximal airway generations occur in asthma and demonstrate a stochastic process of formation and resolution over time. Proximal airway mucus plugs are consequential for airflow and are in locations amenable to treatment by inhaled muco-active drugs or bronchoscopy.TRIAL REGISTRATIONClinicaltrials.gov; NCT01718197, NCT01606826, NCT01750411, NCT01761058, NCT01761630, NCT01716494, and NCT01760915.FUNDINGAstraZeneca, Boehringer-Ingelheim, Genentech, GlaxoSmithKline, Sanofi-Genzyme-Regeneron, and TEVA provided financial support for study activities at the Coordinating and Clinical Centers beyond the third year of patient follow-up. These companies had no role in study design or data analysis, and the only restriction on the funds was that they be used to support the SARP initiative.

Imaging of Pulmonary Manifestations of Connective Tissue Disease.

The majority of connective tissue diseases (CTDs) are multisystem disorders that are often heterogeneous in their presentation and do not have a single laboratory, histologic, or radiologic feature that is defined as the gold standard to support a specific diagnosis. Given this challenging situation, the diagnosis of CTD is a process that requires the synthesis of multidisciplinary data which may include patient clinical symptoms, serologic evaluation, laboratory testing, and imaging. Pulmonary manifestations of connective tissue disease include interstitial lung disease as well as multicompartmental manifestations. These CT imaging patterns and features of specific diseases will be discussed in this article.

Predictive Value of Coronary Artery Calcium in Patients Receiving Computed Tomography Pulmonary Angiography for Suspected Pulmonary Embolism in the Emergency Department.

PURPOSE: Coronary artery calcium (CAC) is a frequent incidental finding on computed tomography pulmonary angiogram (CTPA) in the evaluation of pulmonary embolism (PE) in the emergency department (ED); however, its prognostic value is unclear. In this study, we interrogate the prognostic value of CAC identified on CTPA in predicting adverse outcomes in the evaluation of PE in the ED. MATERIALS AND METHODS: In this retrospective cohort study, we identified 610 patients presenting to the ED in 2013 and evaluated with CTPA for suspected PE. Ordinal CAC scores were evaluated as absent (0), mild (1), moderate (2), or severe (3) in each of the 4 main coronary arteries. Composite CAC scores were subsequently compared against adverse clinical outcomes, defined as intensive care unit admission, hospital stay longer than 72 hours, or death during hospital course or at 6-month follow-up, using univariate and multivariate logistic regression analyses. Relevant exclusion criteria included a history of cardiovascular disease. RESULTS: In all, 365 patients met the inclusion criteria (231 women, mean age 56±16 y) with 132 patients (36%) having some degree of CAC and 16 (4%) having severe CAC. Known malignancy was present in 151 (41%) patients and composite adverse clinical outcomes were observed in 98 patients (32%). Age, presence of acute PE, malignancy, and presence of CAC were significant predictors of adverse outcomes on both univariate and multivariate analyses. CAC was not an independent predictor of short-term adverse outcomes on multivariate analysis ( P =0.06) when all patients were considered. However, when patients with known malignancy were excluded, CAC was an independent predictor of short-term adverse outcomes (odds ratio=2.5, confidence interval=1.1-5.5, P =0.03) independent of age and presence of PE. CONCLUSION: The presence of CAC on CT PA was predictive of adverse outcomes in patients without known cardiac disease presenting to the ED with suspected PE.

Automated coronary calcium scoring using deep learning with multicenter external validation.

Coronary artery disease (CAD), the most common manifestation of cardiovascular disease, remains the most common cause of mortality in the United States. Risk assessment is key for primary prevention of coronary events and coronary artery calcium (CAC) scoring using computed tomography (CT) is one such non-invasive tool. Despite the proven clinical value of CAC, the current clinical practice implementation for CAC has limitations such as the lack of insurance coverage for the test, need for capital-intensive CT machines, specialized imaging protocols, and accredited 3D imaging labs for analysis (including personnel and software). Perhaps the greatest gap is the millions of patients who undergo routine chest CT exams and demonstrate coronary artery calcification, but their presence is not often reported or quantitation is not feasible. We present two deep learning models that automate CAC scoring demonstrating advantages in automated scoring for both dedicated gated coronary CT exams and routine non-gated chest CTs performed for other reasons to allow opportunistic screening. First, we trained a gated coronary CT model for CAC scoring that showed near perfect agreement (mean difference in scores = -2.86; Cohen's Kappa = 0.89, P < 0.0001) with current conventional manual scoring on a retrospective dataset of 79 patients and was found to perform the task faster (average time for automated CAC scoring using a graphics processing unit (GPU) was 3.5 ± 2.1 s vs. 261 s for manual scoring) in a prospective trial of 55 patients with little difference in scores compared to three technologists (mean difference in scores = 3.24, 5.12, and 5.48, respectively). Then using CAC scores from paired gated coronary CT as a reference standard, we trained a deep learning model on our internal data and a cohort from the Multi-Ethnic Study of Atherosclerosis (MESA) study (total training n = 341, Stanford test n = 42, MESA test n = 46) to perform CAC scoring on routine non-gated chest CT exams with validation on external datasets (total n = 303) obtained from four geographically disparate health systems. On identifying patients with any CAC (i.e., CAC ≥ 1), sensitivity and PPV was high across all datasets (ranges: 80-100% and 87-100%, respectively). For CAC ≥ 100 on routine non-gated chest CTs, which is the latest recommended threshold to initiate statin therapy, our model showed sensitivities of 71-94% and positive predictive values in the range of 88-100% across all the sites. Adoption of this model could allow more patients to be screened with CAC scoring, potentially allowing opportunistic early preventive interventions.

Increasing Diversity in Radiology and Molecular Imaging: Current Challenges.

This paper summarizes the 2020 Diversity in Radiology and Molecular Imaging: What We Need to Know Conference, a three-day virtual conference held September 9-11, 2020. The World Molecular Imaging Society (WMIS) and Stanford University jointly organized this event to provide a forum for WMIS members and affiliates worldwide to openly discuss issues pertaining to diversity in science, technology, engineering, and mathematics (STEM). The participants discussed three main conference themes, "racial diversity in STEM," "women in STEM," and "global health," which were discussed through seven plenary lectures, twelve scientific presentations, and nine roundtable discussions, respectively. Breakout sessions were designed to flip the classroom and seek input from attendees on important topics such as increasing the representation of underrepresented minority (URM) members and women in STEM, generating pipeline programs in the fields of molecular imaging, supporting existing URM and women members in their career pursuits, developing mechanisms to effectively address microaggressions, providing leadership opportunities for URM and women STEM members, improving global health research, and developing strategies to advance culturally competent healthcare.

Imaging Thoracic Aortic Aneurysm.

High-quality aortic imaging plays a central role in the management of patients with thoracic aortic aneurysm. Computed tomography angiography and magnetic resonance angiography are the most commonly used techniques for thoracic aortic aneurysm diagnosis and imaging surveillance, with each having unique strengths and limitations that should be weighed when deciding patient-specific applications. To ensure optimal patient care, imagers must be familiar with potential sources of artifact and measurement error, and dedicate effort to ensure high-quality and reproducible aortic measurements are generated. This review summarizes the imaging evaluation and underlying pathology relevant to the diagnosis of thoracic aortic aneurysm.

Approach to Abnormal Chest Computed Tomography Contrast Enhancement in the Hospitalized Patient.

This article describes an approach to analyzing the distribution of intravenous contrast on chest computed tomography and illustrates the various pathologies and pitfalls that may be encountered by the imager, especially in the hospitalized patient. Understanding normal and abnormal distribution of intravenous contrast can be used as a clue to detect alterations in physiology and flow.

Computed tomography guided sizing for transcatheter pulmonary valve replacement.

OBJECTIVE: To evaluate the predictive value of Computed Tomography Angiography (CTA) measurements of the RVOT for transcatheter valve sizing. BACKGROUND: Transcatheter pulmonary valve replacement (TPVR) provides an alternative to surgery in patients with right ventricular outflow tract (RVOT) dysfunction. We studied 18 patients who underwent catheterization for potential TPVR to determine whether CT imaging can be used to accurately predict implant size. METHODS: Cases were grouped by RVOT characteristics: native or transannular patch (n = 8), conduit (n = 5) or bioprosthetic valve (n = 5). TPVR was undertaken in 14/18 cases, after balloon-sizing was used to confirm suitability and select implant size. Retrospective CT measurements of the RVOT (circumference-derived (Dcirc) and area-derived (Darea) diameters) were obtained at the level of the annulus, bioprosthesis or conduit. Using manufacturer sizing guidance, a valve size was generated and a predicted valve category assigned: (1) <18 mm, (2) 18-20 mm, (3) 22-23 mm, (4) 26-29 mm and (5) >29 mm. Predicted and implanted valves were compared for inter-rater agreement using Cohen's kappa coefficient. RESULTS: The median age of patients was 37 years old (IQR: 30-49); 55% were male. Diagnoses included: Tetralogy of Fallot (12/18), d-Transposition repair (3/18), congenital pulmonary stenosis (2/18) and carcinoid heart disease (1/18). Measurements of Darea (κ = 0.697, p < 0.01) and Dcirc (κ = 0.540, p < 0.01) were good predictors of implanted valve size. When patients with RVOT conduits were excluded, the predictive accuracy improved for Darea (κ = 0.882, p < 0.01) and Dcirc (κ = 0.882, p < 0.01). CONCLUSIONS: CT measurement of the RVOT, using Darea or Dcirc, can predict prosthetic valve sizing in TPVR. These measurements are less predictive in patients with conduits, compared to those with a native RVOT or pulmonic bioprosthesis. CONDENSED ABSTRACT: We studied 18 patients who underwent catheterization for TPVR to determine whether CT imaging could be used to accurately predict implant size. Retrospective RVOT measurements were used to generate a predicted valve size, which was compared with implanted valve size for inter-rater agreement. Measurements of Darea (κ = 0.697, p < 0.01) and Dcirc (κ = 0.540, p < 0.01) were good predictors of implanted valve size. When cases with RVOT conduits were excluded, the predictive accuracy improved for Darea (κ = 0.882, p < 0.01) and Dcirc (κ = 0.882, p < 0.01). CT measurement of the RVOT can accurately predict prosthetic valve sizing in TPVR. These measurements are less predictive in patients with conduits.

Are Women Disproportionately Represented in Education Compared to Other Roles in Academic Radiology?

RATIONALE AND OBJECTIVES: Women in academic medicine, and radiology specifically, are underrepresented in departmental leadership roles and achieve fewer professional metrics of success. We have observed, however, that women are more broadly represented in medical education leadership. The purpose of this study was to determine if women in academic radiology are overrepresented in educational scholarship and educational leadership compared to general research scholarship and leadership positions, and to determine if there is any difference in the distribution of women in these roles compared to internal medicine. MATERIALS AND METHODS: We performed a PubMed search of education articles in radiology and internal medicine over the last 5 years, and the gender of the authors was determined. Data on gender for authorship of general research topics, departmental leaders, and society leadership was obtained via literature and internet searches and the data was aggregated. Representation ratios (RR of 1.0 = parity) were obtained via risk ratio calculation to compare education versus general scholarship, and the distribution of leadership roles within and between these fields. RESULTS: Women make up 28.5% of academic radiologists and 40.1% of academic internists. A higher proportion of education articles were first authored by women than would be expected in both fields with an RR of 1.46 (p < 0.001) in radiology and 1.23 (p < 0.001) in internal medicine. This overrepresentation was significant compared to general research scholarship in both fields (p < 0.001). In both fields, women were overrepresented in the position of Medical Student Director (RR of 1.47 and 1.22, respectively). For Program Directors, women were overrepresented in radiology (RR of 1.12) and underrepresented in internal medicine (RR of 0.69-0.75). Women in radiology were overrepresented in education society leadership (RR = 1.63) compared to general society leadership (0.98, p = 0.001). CONCLUSION: We found that women in radiology are overrepresented in authorship of education articles, and in departmental and society education leadership roles. This trend was also seen in internal medicine, suggesting that women are more broadly represented in medical education.

A case of acute onset gigantomastia in a 20-year-old woman.

Gigantomastia is an abnormal and rare breast condition characterized by excessive breast tissue growth that can result in physical and psychosocial debilitation. While the etiology is not fully understood, it is postulated that abnormal endogenous hormone stimulation plays a contributory role and often requires mastectomy for definitive treatment. Proliferation of all elements is commonly observed, including glands, ducts, stroma, fat, vessels and skin. Pseudoangiomatous stromal hyperplasia (PASH) is an additional benign breast disease defined microscopically by proliferation of mammary stroma. PASH often clinically presents as an incidental finding while evaluating other benign or malignant lesions, or less commonly as a palpable, well-circumscribed breast mass. Uncommon cases have been reported in which PASH presents as a bilateral, diffuse process. In this case presentation, we report a rare case of a 20-year-old woman presenting with acute onset gigantomastia most likely due to diffuse PASH.

Pericardial Fat Enhancement: New Computed Tomography Biomarker Influences the Relationship Between Pericardial Fat and Coronary Artery Disease.

PURPOSE: Studies have shown a modest association between pericardial fat volume (PFV) and coronary artery disease (CAD), potentially mediated by local inflammation. We aimed to investigate the association between a new biomarker of pericardial fat inflammation, named pericardial fat enhancement (PFE), and the severity of CAD on coronary computed tomography angiography (CCTA). MATERIALS AND METHODS: We evaluated 114 patients referred for CCTA from 2007 to 2011. PFV, presence of obstructive CAD, and the burden of CAD were determined. PFE was measured in 10 mm regions of interest, adjusted to aortic enhancement (aPFE). The population was divided into those with greater than median (G-PFE) versus less than median pericardial fat enhancement (L-PFE). Stratified adjusted logistic regressions were performed. A P-value <0.05 was considered significant. The study was approved by our institutional review board. RESULTS: Patients were 54.3±14.8 years of age, and 57/114 (50%) were male individuals, with body mass index of 27.3±6.3. There was an independent association between CAD severity and PFV. There was a significant independent association between PFV and obstructive CAD (odds ratio=1.26, P=0.005), and PFV and burden of CAD (odds ratio=1.25, P=0.05) in those with greater PFE. However, there was no significant association between obstructive CAD and CAD burden in either adjusted model for patients with less PFE. CONCLUSIONS: Our results suggest that PFE influences significantly the relationship between PFV and CAD, supporting the hypothesis of local pericardial fat inflammation as a mechanism for CAD development.

Dedicated Diagnostic Radiology/Radiation Oncology Rounds: Added Value Beyond Traditional Tumor Boards.

OBJECTIVES: We aimed to evaluate the impact of collaborative discussion between diagnostic radiologists and radiation oncologists on radiation oncology management for thoracic oncology patients. METHODS: We reviewed cases presented at multidisciplinary thoracic tumor boards (TTB) (n = 122) and diagnostic radiology/radiation oncology rounds (DR/ROR) (n = 45). Changes in planned radiation management following imaging discussion were categorized-no change, timing change, and treatment volume change. Phase of care was also classified. In DR/ROR, radiation oncologists were surveyed regarding (1) change in radiation oncology management and (2) change in confidence (both 5-point Likert scales). RESULTS: Discussion of imaging with a radiologist changed radiation oncology management in 31.1% of TTB cases and 68.9% of DR/ROR cases (P < 0.001). Changes to the timing of initiating radiation therapy occurred with similar frequency in the 2 settings (31.1% vs 46.7%, P = 0.063). Changes to target volume occurred more frequently in DR/ROR (35.6% vs <1%), P < 0.001. Over half of imaging discussions in DR/ROR resulted in at least "moderate" change in radiation oncology management, and the level of confidence held by the radiation oncologists increased following discussion with radiologists in 95.6% of cases. CONCLUSION: Collaborative discussions between radiation oncologists and diagnostic radiologists in a multispecialty tumor board and in targeted 2-specialty rounds are not redundant, but result in different management changes and at different phases of care. Our study emphasizes the importance of consultation with physicians as an area where radiologists can add value, specifically the added benefit of smaller collaborative discussions.

Imaging of the Thoracic Manifestations of Connective Tissue Disease.

Imaging, specifically computed tomography (CT), is a key component in the characterization, management, and follow-up of patients with connective tissue disease (CTD)-related diffuse lung disease. The main role of CT is to help direct treatment by determining the primary pattern of lung injury present. Other roles include follow-up of lung disease over time, evaluation of acute symptoms, and monitoring for treatment complications. Although diagnosis is typically made using clinical and serologic criteria, CT plays an important role when lung disease is the dominant presenting feature. This article delineates the roles of CT in patients with CTD-related lung disease.