Background: ThinPrep bronchial brush and wash accuracy in the diagnosis of pulmonary small cell carcinoma (pSCCa) and measured as sensitivity, specificity, positive and negative predictive values (PPV and NPV) is incompletely studied or unknown.
Methods: Specimens collected over 5 years from 199 pSCCa and 938 negative (Neg) for pulmonary cancer individuals were selected by linking the laboratory file with the cancer registry. Results other than unsatisfactory were classified as true-positive and -negative, and false-positive and -negative tests so as to calculate accuracy estimates. Slides of all false-negative and -positive and randomly selected samples of true-positive and -negative tests were evaluated for 11 abnormal cell features typical of pSCCa in conventional preparations: distribution differences by disease status were tested for significance.
Results: There were 129 brush and 170 wash in the pSCCa group and 365 brush and 1153 wash in the Neg group. Of all specimens, 1.2% were unsatisfactory. Brush sensitivity, specificity, PPV, and NPV were 61.9%, 99.4%, 97.5%, and 88%, respectively. Wash frequencies were 53.3%, 98.8%, 86.5%, and 93.5%, respectively. Abnormal cell features occurred in 29.9% of the selected pSCCa and 4.7% of the Neg specimens, and distribution differences were significant for each feature (P < .001).
Conclusions: Unsatisfactory brush and wash specimens are infrequent in the diagnosis of pSCCa, and both have moderate sensitivity and high specificity, PPV, and NPV. pSCCa abnormal cell features resemble those seen in conventional preparations and can distinguish specimens with pSCCa from those negative for pulmonary cancer.
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http://dx.doi.org/10.1002/cncy.21435 | DOI Listing |
J Allergy Clin Immunol
November 2024
Infection, Immunity and Global Health, Murdoch Children's Research Institute, Parkville, Australia; Department of Paediatrics, University of Melbourne, Parkville, Australia. Electronic address:
Background: Respiratory diseases are a common cause of morbidity and hospitalization for children. Despite this, treatment options are limited and are often ineffective. The development of curative or disease-modifying treatments for children relies on a better understanding of underlying immunity in the early airway.
View Article and Find Full Text PDFCancer Cytopathol
November 2024
Department of Pathology, Pathology & Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Eur Respir J
November 2024
National Heart and Lung Institute, Imperial College London, London, UK
Background: Lung quantitative computed tomography (qCT) severe asthma clusters have been reported, but their replication and underlying disease mechanisms are unknown. We identified and replicated qCT clusters of severe asthma in two independent asthma cohorts and determined their association with molecular pathways, using radiomultiomics, integrating qCT, multiomics and machine learning/artificial intelligence.
Methods: We used consensus clustering on qCT measurements of airway and lung CT scans, performed in 105 severe asthmatic adults from the U-BIOPRED cohort.
Eur Respir J
November 2024
Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada
J Allergy Clin Immunol
August 2024
Department of Immunology, School of Translational Medicine, Monash University, Melbourne, Australia.
Background: Wheezing in childhood is prevalent, with over one-half of all children experiencing at least 1 episode by age 6. The pathophysiology of wheeze, especially why some children develop asthma while others do not, remains unclear.
Objectives: This study addresses the knowledge gap by investigating the transition from preschool wheeze to asthma using multiomic profiling.
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