Feature | January 13, 2010

Change in TMN Staging System Validated

January 13, 2010 – Research validates the efficacy of the recent reclassification of the T category in the International Association for the Study of Lung Cancer’s (IASLC) "Staging Manual in Thoracic Oncology" released in the January 2010 issue of the Journal of Thoracic Oncology.

In the sixth edition of the tumor, node and metastatis (TNM) staging system, there were no changes. Thus, the change in the seventh edition is significant as it is the first revision of TMN classification in lung cancer for 12 years, and represents the most drastic change there has been in the past 30 years.

The medical records of 1,393 patients with non-small cell lung cancer who underwent complete resection were thoroughly reviewed for pathologic findings and survival. The stage of all the patients was pathologically defined according to the present international staging system, previously revised in 1997. This study examined the relationship between the cut-off points of the tumor size for the new T category and the pathologic invasiveness

The TNM staging system is useful for both the clinical assessment of tumor progression and the determination of treatment plan, such as surgery, chemotherapy and radiation. In the forthcoming TNM classification, a revision with respect to lung cancer has been proposed by the International Association for the Study of Lung Cancer. The major revision is the T category, which makes an especially strict division by detailed cut points of tumor size (e.g., 2-, 3-, 5- and 7-cm). The proposed T revision has been determined and validated based on the overall survival date from a large international database.

The lead study author, Tokujiro Yano, M.D., called the new T classification, which is based mainly on the tumor size, “appropriate for the pathologic findings of the primary tumor.” The significant differences were observed among newly revised T subsets in at least one incidence of pathologic invasiveness, including lymphatic, vascular, or pleural invasion.

Past chair and author of the IASLC’s staging guide, Peter Goldstraw, added that IASLC will play a central role in the formation of future classification of TMN.

For more information: www.iaslcpubs.org/IASLC-Manual-Thoracic-print.html

Related Content

Canon Aquilion One CT Helps Gates Vascular Institute Adhere to New Stroke Guidelines
News | Computed Tomography (CT) | December 12, 2018
In stroke, time saved on imaging is time gained in the treatment window. The recently updated guidelines from the...
Coreline Soft Introduces AI Lung Segmentation Solution at RSNA 2018
News | Lung Cancer | December 10, 2018
December 10, 2018 — Korean image software company Coreline Soft Co. Ltd.
RaySearch Developing RayCommand Treatment Control System for U.K. Proton Therapy Facility
Technology | Radiation Therapy | December 10, 2018
RaySearch has decided to develop a treatment control system, RayCommand, to act as a link between its RayStation...
FDA Approves New Features for Planmed Verity Cone Beam CT Scanner
Technology | Computed Tomography (CT) | December 07, 2018
The U.S. Food and Drug Administration (FDA) issued an approval letter for the new features and intended uses of the...
YITU Releases AI-Based Cancer Screening Solutions at RSNA 2018
News | Artificial Intelligence | December 06, 2018
Chinese artificial intelligence (AI) healthcare company YITU healthcare released two brand-new products, Intelligent...
Guerbet Launches Multi-Use OptiVantage Contrast Media Injector in Europe
Technology | Contrast Media Injectors | December 05, 2018
Contrast agent company Guerbet recently announced that the OptiVantage multi-use contrast media injector is now CE...
GE Healthcare Unveils New Applications and Smart Devices Built on Edison Platform
Technology | Artificial Intelligence | December 05, 2018
GE Healthcare recently announced new applications and smart devices built on Edison – a platform that helps accelerate...
Mirada Medical Joins U.K. Consortium Exploring Healthcare AI
News | Artificial Intelligence | December 04, 2018
Mirada Medical, a leading global brand in medical imaging software, will form part of an artificial intelligence (AI)...
Infervision Introduces AI Capabilities for Chest CT Reading
Technology | Computer-Aided Detection Software | November 30, 2018
Big data and artificial intelligence (AI) company Infervision announced the launch of InferRead CT Chest, a new product...