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Nontuberculous mycobacterial pulmonary disease (NTM-PD) is increasingly recognized in the U.S. and worldwide as a debilitating disease that is challenging to diagnose and manage. Beyond the principle task of recognizing the protean imaging manifestations of NTM-PD, radiologists will need to appropriately communicate with pulmonology and infectious disease colleagues in multidisciplinary management discussions. This update on nontuberculous mycobacteria (NTM) species, their clinical significance, and imaging features aims to support these roles. Terminology mirrors that laid out by the American Thoracic Society (ATS) and Infectious Disease Society of America (IDSA) published guidelines on NTM-PD. 1 [ABSTRACT FROM AUTHOR]

Imaging plays a central role in the diagnosis of pulmonary infections with the chest radiograph as the initial study of choice. Computed tomography can further delineate the extent of disease and present key imaging signs that, along with clinical history and laboratory da ta, can properly guide the differen tial diagnosis. In this article, we review and illustrate the most relevant computed tomography imaging manifestations of common and less com mon pulmonary infections, including a section devoted to pulmonary infections in immunosuppressed patients. [ABSTRACT FROM AUTHOR]

Background: The term severe acute respiratory infection (SARI) encompasses a heterogeneous group of respiratory illnesses. Grading the severity of SARI is currently reliant on indirect disease severity measures such as respiratory and heart rate, and the need for oxygen or intensive care. With the lungs being the primary organ system involved in SARI, chest radiographs (CXRs) are potentially useful for describing disease severity. Our objective was to develop and validate a SARI CXR severity scoring system. Methods: We completed validation within an active SARI surveillance project, with SARI defined using the World Health Organization case definition of an acute respiratory infection with a history of fever, or measured fever of ≥ 38 °C; and cough; and with onset within the last 10 days; and requiring hospital admission. We randomly selected 250 SARI cases. Admission CXR findings were categorized as: 1 = normal; 2 = patchy atelectasis and/or hyperinflation and/or bronchial wall thickening; 3 = focal consolidation; 4 = multifocal consolidation; and 5 = diffuse alveolar changes. Initially, four radiologists scored CXRs independently. Subsequently, a pediatrician, physician, two residents, two medical students, and a research nurse independently scored CXR reports. Inter-observer reliability was determined using a weighted Kappa (κ) for comparisons between radiologists; radiologists and clinicians; and clinicians. Agreement was defined as moderate (κ > 0.4-0.6), good (κ > 0.6-0.8) and very good (κ > 0.8-1.0). Results: Agreement between the two pediatric radiologists was very good (κ = 0.83, 95 % CI 0.65-1.00) and between the two adult radiologists was good (κ = 0.75, 95 % CI 0.57-0. 93). Agreement of the clinicians with the radiologists was moderate-to-good (pediatrician:κ = 0.65; pediatric resident:κ = 0.69; physician:κ = 0.68; resident:κ = 0.67; research nurse:κ = 0.49, medical students: κ = 0.53 and κ = 0.56). Agreement between clinicians was good-to-very good (pediatrician vs. physician:κ = 0.85; vs. pediatric resident:κ = 0.81; vs. medicine resident:κ = 0.76; vs. research nurse:κ = 0.75; vs. medical students:κ = 0.63 and 0.66). Following review of discrepant CXR report scores by clinician pairs, κ values for radiologist-clinician agreement ranged from 0.59 to 0.70 and for clinician-clinician agreement from 0.97 to 0.99. Conclusions: This five-point CXR scoring tool, suitable for use in poorly- and well-resourced settings and by clinicians of varying experience levels, reliably describes SARI severity. The resulting numerical data enables epidemiological comparisons of SARI severity between different countries and settings. [ABSTRACT FROM AUTHOR]

Presents a study which sought to examine disease associations of Human T-cell lymphotroptic viruses (HTLV)-II. Matching of HTLV-II-seropositive emergency room and clinic patients by age, sex and clinic to HTLV-I/II-seronegative patients; Review of medical records blinded to HTLV-II status; Comparison of `International Classification of Disease 9th Clinical Modification' (ICD-9CM)-coded diagnoses between seropositive patients and controls; Results obtained.

The first year of the coronavirus disease 2019 (COVID-19) pandemic has been a year of unprecedented changes, scientific breakthroughs, and controversies. The radiology community has not been spared from the challenges imposed on global healthcare systems. Radiology has played a crucial part in tackling this pandemic, either by demonstrating the manifestations of the virus and guiding patient management, or by safely handling the patients and mitigating transmission within the hospital. Major modifications involving all aspects of daily radiology practice have occurred as a result of the pandemic, including workflow alterations, volume reductions, and strict infection control strategies. Despite the ongoing challenges, considerable knowledge has been gained that will guide future innovations. The aim of this review is to provide the latest evidence on the role of imaging in the diagnosis of the multifaceted manifestations of COVID-19, and to discuss the implications of the pandemic on radiology departments globally, including infection control strategies and delays in cancer screening. Lastly, the promising contribution of artificial intelligence in the COVID-19 pandemic is explored., Competing Interests: Conflict-of-interest statement: The authors have no conflicts of interest to declare., (©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.)

Imaging plays a central role in the diagnosis of pulmonary infections with the chest radiograph as the initial study of choice. Computed tomography can further delineate the extent of disease and present key imaging signs that, along with clinical history and laboratory data, can properly guide the differential diagnosis. In this article, we review and illustrate the most relevant computed tomography imaging manifestations of common and less common pulmonary infections, including a section devoted to pulmonary infections in immunosuppressed patients., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Hepatitis delta virus (HDV) contains a viroid-like circular RNA that is presumed to replicate via a rolling circle replication mechanism mediated by cellular RNA polymerases. However, the exact mechanism of rolling circle replication for HDV RNA and viroids is not clear. Using our recently described cDNA-free transfection system (L. E. Modahl and M. M. Lai, J. Virol. 72:5449-5456, 1998), we have succeeded in detecting HDV RNA replication by metabolic labeling with [32P]orthophosphate in vivo and obtained direct evidence that HDV RNA replication generates high-molecular-weight multimeric species of HDV RNA, which are processed into monomeric and dimeric forms. Thus, these multimeric RNAs are the true intermediates of HDV RNA replication. We also found that HDV RNA synthesis is highly temperature sensitive, occurring most efficiently at 37 to 40 degrees C and becoming virtually undetectable at temperatures below 30 degrees C. Moreover, genomic HDV RNA synthesis was found to occur at a rate roughly 30-fold higher than that of antigenomic RNA synthesis. Finally, in lysolecithin-permeabilized cells, the synthesis of full-length antigenomic HDV RNA was completely resistant to high concentrations (100 microg/ml) of alpha-amanitin. In contrast, synthesis of genomic HDV RNA was totally inhibited by alpha-amanitin at concentrations as low as 2.5 microg/ml. Thus, these results suggest that genomic and antigenomic HDV RNA syntheses are performed by two different host cell enzymes. This observation, combined with our previous finding that hepatitis delta antigen mRNA synthesis is likely performed by RNA polymerase II, suggests that the different HDV RNA species are synthesized by different cellular transcriptional machineries.