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A. Hirakawa
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O29 - Cancer Control & Epidemiology IV (ID 132)
- Event: WCLC 2013
- Type: Oral Abstract Session
- Track: Prevention & Epidemiology
- Presentations: 1
- Moderators:P. Zimmerman, N. Kurimoto
- Coordinates: 10/30/2013, 10:30 - 12:00, Bayside 103, Level 1
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O29.05 - Prognostic Impact of the Tumor Size Eliminating the Ground Glass Opacity Component: Modified Clinical T Descriptors of the TNM Classification of Lung Cancer (ID 751)
11:15 - 11:25 | Author(s): A. Hirakawa
- Abstract
- Presentation
Background
The presence of ground glass opacity (GGO) on high-resolution computed tomography (HRCT) is well known to be pathologically closely associated with adenocarcinoma in situ. Recently, measuring the tumor diameter including areas of GGO on HRCT has been reported to possibly overestimate the T status. The purpose of this study was to evaluate the significance of the tumor size measured eliminating the area of GGO on HRCT as a prognostic factor and to propose a refined TNM classification based on modified T descriptors.Methods
Four hundred and seventy-five patients with clinical T1a-T2bN0M0 non-small cell lung cancer underwent surgical resection. All tumors were reclassified based on the diameter measured eliminating the GGO area on HRCT according to the 7th TNM classification of lung cancer. We defined this new classification as modified T descriptors categorized into four groups: mTis+T1a, mT1b, mT2a and mT2b. The overall survival rates of the patients in the current and modified staging groups were evaluated.Results
The 5-year survival rates were 88% and 82% in the patients with T1a and T1b tumors and 90% and 75% in the patients with mTis+T1a and mT1b tumors, respectively. The differences in the survival of the patients classified using mTis+T1a and the other modified T descriptors were more clearly separated statistically than those of the patients classified using the current T1a and other T descriptors.Conclusion
The use of clinically modified T descriptors of the tumor size measured eliminating the GGO component on HRCT may more clearly classify the prognoses of patients with early lung cancer.Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.