Publications by authors named "Peter J Bergquist"

Article Synopsis
  • Traditional risk scores for recurrent atrial fibrillation (AF) after catheter ablation lack accuracy, prompting the exploration of cardiac imaging and deep learning to enhance prediction.
  • The study analyzed 653 patients undergoing AF ablation, identifying five key predictors for late recurrence, with left atrial volume index (LAVi) and early recurrence being the most significant factors.
  • Findings suggest that higher LAVi levels and the occurrence of early recurrence notably increase the risk of late recurrence, highlighting the utility of machine learning in AF risk assessment.
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Background: Recent studies have shown that epicardial adipose tissue (EAT) is an independent atrial fibrillation (AF) prognostic marker and has influence on the myocardial function. In computed tomography (CT), EAT volume (EATv) and density (EATd) are parameters that are often used to quantify EAT. While increased EATv has been found to correlate with the prevalence and the recurrence of AF after ablation therapy, higher EATd correlates with inflammation due to arrest of lipid maturation and with high risk of plaque presence and plaque progression.

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Sotorasib is a inhibitor that recently received approval for use in locally advanced or metastatic -mutated NSCLC. CodeBreaK100, the phase 2 clinical trial leading to the approval of sotorasib, excluded patients with untreated brain metastases; there have been no reports describing efficacy of sotorasib on untreated brain metastases. We present a case of a patient with active untreated brain metastases with resulting disorientation and weakness who has radiographic response and complete resolution of neurologic symptoms with sotorasib.

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Objectives: Interstitial pneumonia with autoimmune features (IPAF) includes patients with interstitial lung disease with autoimmune features who do not meet criteria for a connective tissue disease (CTD). Previous studies showed a wide variation in the radiologic pattern, pulmonary function and prognosis but there is still limited data on longitudinal outcomes. We aim to describe the long-term pulmonary function, radiological patterns, and survival of IPAF patients and explore a classification based on CTD-like subgroups by using clinical/serologic data.

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Objectives: Cardiac computed tomography (CCT) is a common pre-operative imaging modality to evaluate pulmonary vein anatomy and left atrial appendage thrombus in patients undergoing catheter ablation (CA) for atrial fibrillation (AF). These images also allow for full volumetric left atrium (LA) measurement for recurrence risk stratification, as larger LA volume (LAV) is associated with higher recurrence rates. Our objective is to apply deep learning (DL) techniques to fully automate the computation of LAV and assess the quality of the computed LAV values.

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Purpose: This study aimed to evaluate interobserver reproducibility between cardiothoracic radiologists applying the Coronary Artery Disease Reporting and Data System (CAD-RADS) to describe atherosclerotic burden on coronary computed tomography angiography.

Methods: Forty clinical computed tomography angiography cases were retrospectively and independently evaluated by 3 attending and 2 fellowship-trained cardiothoracic radiologists using the CAD-RADS lexicon. Radiologists were blinded to patient history and underwent initial training using a practice set of 10 subjects.

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Intracardiac masses are classified as neoplastic or non-neoplastic. Prognosis varies based on the diagnosis of the mass since treatment options differ greatly. As novel imaging techniques emerge, a multimodality approach to the evaluation of intracardiac masses becomes an important part of non-invasive evaluation prior to potential surgical planning or oncological treatment.

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Purpose: A few case reports of intracavitary coronary arteries (ICCA) have been reported and only a single case series on the coronary computed tomography angiography (CCTA) prevalence rate of ICCA of the right coronary artery (RCA). We describe several cases of ICCA that were noted incidentally and also determine the overall prevalence rate of anomalous ICCA.

Materials And Methods: A retrospective analysis of ICCA was performed consisting of consecutive CCTA cases as well as a group of ICCA from teaching files.

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Purpose Of Review: The purpose of this study was to provide an overview of the clinical applications of PET-MR in the setting of cardiac imaging with emphasis on specific scenarios where both techniques together provided added information.

Recent Findings: Synergy of cardiac PET and MR fusion may hold similar promise eliminating ionizing radiation and improving tissue contrast. Future development of new hybrid scanners, use of new imaging tracers, and clinical applications are significant factors which will influence its use.

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This article reviews current and evolving concepts in the diagnosis of penetrating diaphragmatic injury with multidetector CT (MDCT). As criteria for nonoperative management in the setting of penetrating trauma become more inclusive, confident exclusion of penetrating diaphragmatic injury (PDI) has become imperative. Diagnostic performance of MDCT for PDI has improved substantially with the use of thin sections and multiplanar reformats.

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