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Lung Cancer Staging: Imaging and Potential Pitfalls.
Erasmus, Lauren T; Strange, Taylor A; Agrawal, Rishi; Strange, Chad D; Ahuja, Jitesh; Shroff, Girish S; Truong, Mylene T.
Afiliación
  • Erasmus LT; Department of Anatomy and Cell Biology, Faculty of Sciences, McGill University, Montreal, QC H3A 0G4, Canada.
  • Strange TA; Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555, USA.
  • Agrawal R; Department of Thoracic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Strange CD; Department of Thoracic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Ahuja J; Department of Thoracic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Shroff GS; Department of Thoracic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Truong MT; Department of Thoracic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Diagnostics (Basel) ; 13(21)2023 Nov 01.
Article en En | MEDLINE | ID: mdl-37958255
ABSTRACT
Lung cancer is the leading cause of cancer deaths in men and women in the United States. Accurate staging is needed to determine prognosis and devise effective treatment plans. The International Association for the Study of Lung Cancer (IASLC) has made multiple revisions to the tumor, node, metastasis (TNM) staging system used by the Union for International Cancer Control and the American Joint Committee on Cancer to stage lung cancer. The eighth edition of this staging system includes modifications to the T classification with cut points of 1 cm increments in tumor size, grouping of lung cancers associated with partial or complete lung atelectasis or pneumonitis, grouping of tumors with involvement of a main bronchus regardless of distance from the carina, and upstaging of diaphragmatic invasion to T4. The N classification describes the spread to regional lymph nodes and no changes were proposed for TNM-8. In the M classification, metastatic disease is divided into intra- versus extrathoracic metastasis, and single versus multiple metastases. In order to optimize patient outcomes, it is important to understand the nuances of the TNM staging system, the strengths and weaknesses of various imaging modalities used in lung cancer staging, and potential pitfalls in image interpretation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Canadá