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Case Presentation: A 19-year-old woman presented to pulmonary clinic with recurrent episodes of fevers and productive cough over the last 2 years. She was diagnosed with several episodes of respiratory infection that required antibiotic therapy. Her symptoms improved transiently after antibiotic therapy. However, symptoms continued to recur every 1 to 2 months. She denied any close TB contacts or travel outside the United States. She was a nonsmoker and had no history of immunodeficiency. There was no history of cystic fibrosis or any foreign body aspiration. [ABSTRACT FROM AUTHOR]

A 23-year-old white man was admitted to the hospital for evaluation of recurrent hemoptysis. He denied any other associated symptoms, including dyspnea, chest pain, productive cough, wheezing, fever, or weight loss. He had no significant past medical history and was not taking any medication. He had no significant family history for cardiopulmonary diseases. [ABSTRACT FROM AUTHOR]

The objective of this study is to assess the impact on nodule detection and efficiency using a computer-aided detection (CAD) device seamlessly integrated into a commercially available picture archiving and communication system (PACS). Forty-eight consecutive low-dose thoracic computed tomography studies were retrospectively included from an ongoing multi-institutional screening study. CAD results were sent to PACS as a separate image series for each study. Five fellowship-trained thoracic radiologists interpreted each case first on contiguous 5 mm sections, then evaluated the CAD output series (with CAD marks on corresponding axial sections). The standard of reference was based on three-reader agreement with expert adjudication. The time to interpret CAD marking was automatically recorded. A total of 134 true-positive nodules, measuring 3 mm and larger were included in our study; with 85 ≥ 4 and 50 ≥ 5 mm in size. Readers detection improved significantly in each size category when using CAD, respectively, from 44 to 57 % for ≥3 mm, 48 to 61 % for ≥4 mm, and 44 to 60 % for ≥5 mm. CAD stand-alone sensitivity was 65, 68, and 66 % for nodules ≥3, ≥4, and ≥5 mm, respectively, with CAD significantly increasing the false positives for two readers only. The average time to interpret and annotate a CAD mark was 15.1 s, after localizing it in the original image series. The integration of CAD into PACS increases reader sensitivity with minimal impact on interpretation time and supports such implementation into daily clinical practice. [ABSTRACT FROM AUTHOR]

Background: The Centers for Disease Control and Prevention and New York State Department of Health recently identified the Capital District of New York (CDNY) as an emerging endemic area for blastomycosis. However, no clinical or epidemiological description of blastomycosis in the CDNY has been published.Methods: We performed a retrospective analysis of blastomycosis cases at Albany Medical Center (AMC) and Albany Stratton Veterans Affairs Medical Center (VAMC) from January 1, 2000, through June 1, 2019. Patients were identified via an institution-approved informatics system at the hospital's microbiology laboratory.Results: We identified 20 patients diagnosed with blastomycosis over the past 2 decades. There was a nearly 9-fold increase in the annual number of cases in 2016-2019 compared with 2000-2015. The majority of patients resided in the CDNY (90%), and 65% lived within the Mohawk River valley. Most cases (85%) were assumed to be malignancies or non-mycotic infections prior to diagnosis, with median time between presentation and diagnosis of 53 days.Conclusions: Our data support recent reports that blastomycosis is an emerging disease in the CDNY. Most patients were misdiagnosed as malignancy or non-mycotic infection, which led to treatment delays. [ABSTRACT FROM AUTHOR]