Publications by authors named "John Mayo"

Background Prognostic value of radiologic features in interstitial lung disease (ILD) has been predominantly studied in idiopathic pulmonary fibrosis, but findings vary. The relative importance of features versus guideline-defined patterns in predicting outcomes is unknown. Purpose To identify radiologic features that are independently associated with transplant-free survival beyond clinical predictive factors across all ILD subtypes, and to identify whether individual features versus patterns are more important for prognostication.

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Assessing enophthalmos is critical in facial trauma patients, and there are many ways to do so. We have reviewed the various devices for measuring enophthalmos over the last 155 years. Knowing the benefits and drawbacks of each instrument is important in obtaining accurate results and interpreting them.

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Background: BAL cellular analysis is often recommended during the initial diagnostic evaluation of fibrotic interstitial lung disease (ILD). Despite recommendation for its use, between-center heterogeneity exists and supportive data concerning the clinical utility and correlation of BAL findings with radiologic features or patterns remain sparse.

Research Question: In patients with fibrotic ILD, are BAL findings associated with radiologic features, patterns, and clinical diagnoses?

Study Design And Methods: Patients with fibrotic ILD who underwent BAL for diagnostic evaluation and who were enrolled in the prospective Canadian Registry for Pulmonary Fibrosis were re-reviewed in a standardized multidisciplinary discussion (MDD).

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Objectives: Interstitial lung disease (ILD) in CTDs has highly variable morphology. We aimed to identify imaging features and their impact on ILD progression, mortality, and immunosuppression response.

Methods: Patients with CTD-ILD had high-resolution chest CT (HRCT) reviewed by expert radiologists blinded to clinical data for overall imaging pattern [usual interstitial pneumonia (UIP); non-specific interstitial pneumonia (NSIP); organizing pneumonia (OP); fibrotic hypersensitivity pneumonitis (fHP); and other].

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Introduction: With global adoption of computed tomography (CT) lung cancer screening, there is increasing interest to use artificial intelligence (AI) deep learning methods to improve the clinical management process. To enable AI research using an open-source, cloud-based, globally distributed, screening CT imaging data set and computational environment that are compliant with the most stringent international privacy regulations that also protect the intellectual properties of researchers, the International Association for the Study of Lung Cancer sponsored development of the Early Lung Imaging Confederation (ELIC) resource in 2018. The objective of this report is to describe the updated capabilities of ELIC and illustrate how this resource can be used for clinically relevant AI research.

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Article Synopsis
  • Clinical practice guidelines currently distinguish between different radiologic patterns for usual interstitial pneumonia (UIP) and fibrotic hypersensitivity pneumonitis (fHP), but do not clarify how to use these approaches together for diagnosis in individual patients.
  • A study involving 1,593 patients aimed to integrate these radiologic patterns for diagnosing interstitial lung disease (ILD), revealing that typical UIP patterns strongly correlated with idiopathic pulmonary fibrosis (IPF) diagnoses, while the typical fHP pattern was linked to fHP diagnoses in a significant portion of cases.
  • The findings suggest that an integrated approach is feasible, highlighting that over 5% gas trapping on expiratory imaging is a key diagnostic feature that helps differentiate compatible fHP from other patterns, thus calling
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Objectives: Using risk models as eligibility criteria for lung screening can reduce race and sex-based disparities. We used data from the International Lung Screening Trial(ILST; NCT02871856) to compare the economic impact of using the PLCOm2012 risk model or the US Preventative Services' categorical age-smoking history-based criteria (USPSTF-2013).

Materials And Methods: The cost-effectiveness of using PLCOm2012 versus USPSTF-2013 was evaluated with a decision analytic model based on the ILST and other screening trials.

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is an opportunistic fungal pathogen that has limited treatment options. Natural product plant extracts offer a cost-effective option for the discovery of new anticryptococcal lead compounds. The acetone bark extract of was found to potently inhibit and was subjected to bioautography.

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Background: Lung cancer is a major health problem. CT lung screening can reduce lung cancer mortality through early diagnosis by at least 20%. Screening high-risk individuals is most effective.

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Purpose: Assess the impact of 24/7/365 emergency trauma radiology (ETR) coverage on Emergency Department (ED) patient flow in an urban, quaternary-care teaching hospital.

Methods: Patient ED visit and imaging information were extracted from the hospital patient care information system for 2008 to 2018. An interrupted time-series approach with a comparison group was used to study the impact of 24/7/365 ETR on average monthly ED length of stay (ED-LOS) and Emergency Physician to disposition time (EP-DISP).

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Elevated plasma lipoprotein(a) is a relatively common condition that contributes to many cardiovascular diseases. However, the awareness and testing for this condition remain low. Herein, we present a case of an otherwise healthy and active man who developed symptoms of peripheral arterial disease starting at age 49, and was found to have hyper-lipoprotein(a) as his only notable risk factor.

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Background: Free Open-Access Medical education (FOAM) use among residents continues to rise. However, it often lacks quality assurance processes and residents receive little guidance on quality assessment. The Academic Life in Emergency Medicine Approved Instructional Resources tool (AAT) was created for FOAM appraisal by and for expert educators and has demonstrated validity in this context.

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Purpose: Primary lung cancers associated with cystic airspaces are increasingly being recognized; however, there is a paucity of data on their natural history. We aimed to evaluate the prevalence, pathologic, and imaging characteristics of cystic lung cancer in a regional thoracic surgery center with a focus on the evolution of computed tomography morphology over time.

Materials And Methods: Consecutive patients referred for potential surgical management of primary lung cancer between January 2016 and December 2018 were included.

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As the COVID-19 pandemic impacts global populations, computed tomography (CT) lung imaging is being used in many countries to help manage patient care as well as to rapidly identify potentially useful quantitative COVID-19 CT imaging biomarkers. Quantitative COVID-19 CT imaging applications, typically based on computer vision modeling and artificial intelligence algorithms, include the potential for better methods to assess COVID-19 extent and severity, assist with differential diagnosis of COVID-19 versus other respiratory conditions, and predict disease trajectory. To help accelerate the development of robust quantitative imaging algorithms and tools, it is critical that CT imaging is obtained following best practices of the quantitative lung CT imaging community.

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Purpose: Cavitary lung lesions often pose a diagnostic challenge, and tissue sampling can be required to obtain a confident diagnosis. Many authors contend that a computed tomography-guided percutaneous transthoracic lung biopsy (PTLB) of a cavitary lung lesion places a patient at higher risk for systemic air embolism (SAE) compared with biopsy of a noncavitary lesion.

Materials And Methods: We reviewed the literature for studies of SAE complicating PTLB.

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Article Synopsis
  • Pulmonary hypertension (PH) is characterized by elevated pressure in the pulmonary artery (over 20 mmHg) and is categorized into five groups based on similar causes and treatment approaches.
  • Radiologists are crucial in the assessment and management of PH, working alongside other specialists to provide comprehensive care.
  • A working group from the Fleischner Society focused on imaging techniques like CT, MRI, and nuclear medicine to determine their effectiveness in diagnosing PH, understanding its causes, assessing severity, and planning treatment.
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Article Synopsis
  • Pulmonary hypertension (PH) is characterized by a mean pulmonary artery pressure exceeding 20 mm Hg and is divided into five groups based on similar mechanisms and treatment approaches.
  • A specialized working group within the Fleischner Society is investigating the role of imaging techniques like CT, MRI, and nuclear medicine in diagnosing and managing PH, focusing on questions about noninvasive imaging, identifying causes, assessing severity, and planning treatment.
  • This systematic review emphasizes the critical function of imaging in identifying, evaluating, and following up on patients with PH, with the same content published jointly in two different journals.
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Background: The Joint Trauma System database estimates that about 1,200 individuals have sustained a combat-related amputation during the Global War on Terror. Previous retrospective studies have demonstrated that combat-related amputees develop obesity and cardiovascular disease, but the incidence of obesity and associated comorbidities in this population is unknown. The objectives of this study are to determine the prevalence of obesity in the military amputee population and to compare this with the general population.

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Pulmonary MRI provides structural and quantitative functional images of the lungs without ionizing radiation, but it has had limited clinical use due to low signal intensity from the lung parenchyma. The lack of radiation makes pulmonary MRI an ideal modality for pediatric examinations, pregnant women, and patients requiring serial and longitudinal follow-up. Fortunately, recent MRI techniques, including ultrashort echo time and zero echo time, are expanding clinical opportunities for pulmonary MRI.

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Background: Current lung cancer screening guidelines use mean diameter, volume or density of the largest lung nodule in the prior computed tomography (CT) or appearance of new nodule to determine the timing of the next CT. We aimed at developing a more accurate screening protocol by estimating the 3-year lung cancer risk after two screening CTs using deep machine learning (ML) of radiologist CT reading and other universally available clinical information.

Methods: A deep machine learning (ML) algorithm was developed from 25,097 participants who had received at least two CT screenings up to two years apart in the National Lung Screening Trial.

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Introduction: The 2011 IASLC classification system proposes guidelines for radiologists and pathologists to classify adenocarcinomas spectrum lesions as preinvasive, minimally invasive adenocarcinoma (MIA), or invasive adenocarcinoma (IA). IA portends the worst clinical prognosis, and the imaging distinction between MIA and IA is controversial.

Materials And Methods: Subsolid pulmonary nodules resected by microcoil localization over a three-year period were retrospectively reviewed by three chest radiologists and a pulmonary pathologist.

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