Chest
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A universal nomenclature of the anatomic extent of lung cancer has been critical for individual patient care as well as research advances. As progress occurs, new details emerge that need to be included in a refined system that aligns with contemporary clinical management issues. The ninth edition TNM classification of lung cancer, which is scheduled to take effect in January 2025, addresses this need. ⋯ Key features of the ninth edition include validation of the significant changes in the T component introduced in the eighth edition, subdivision of N2 after exploration of fundamentally different ways of categorizing the N component, and further subdivision of the M component. This has led to reordering of the TNM combinations included in stage groups, primarily involving stage groups IIA, IIB, IIIA, and IIIB. This article summarizes the analyses and revisions for the TNM classification of lung cancer to familiarize the broader medical community and facilitate implementation of the ninth edition system.
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Randomized Controlled Trial Retraction Of Publication
TEMPORARY REMOVAL: A PHASE 3, RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED TRIAL OF BRENSOCATIB IN PATIENTS WITH NON-CYSTIC FIBROSIS BRONCHIECTASIS - THE ASPEN TRIAL.
This abstract has been temporarily removed at the request of the author. A replacement will appear as soon as possible, or the abstract will be reinstated. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/article-withdrawal.
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Review
Diseases Involving the Lung Peribronchovascular Region: A CT Imaging Pathologic Classification.
Chest CT imaging holds a major role in the diagnosis of lung diseases, many of which affect the peribronchovascular region. Identification and categorization of peribronchovascular abnormalities on CT imaging can assist in formulating a differential diagnosis and directing further diagnostic evaluation. ⋯ A category approach to peribronchovascular diseases on CT imaging can be integrated with clinical features as part of a multidisciplinary approach for disease diagnosis.