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Which Window Setting Is Best for Estimating Pathologic Invasive Size and Invasiveness?
Joji Samejima1, Hiroyuki Ito1, Haruhiko Nakayama1
1Department of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.
For lung adenocarcinoma, measuring tumor diameter in the mediastinal window setting is superior for estimating invasive size (IS) and invasiveness compared to the lung window setting. This mediastinal window measurement is crucial for preoperative assessment.
Area of Science:
- Radiology
- Oncology
- Pathology
Background:
- The Eighth Edition of the Tumor Node Metastasis Classification System for Lung Cancer introduced changes to clinical and pathologic T descriptors.
- Limited data exist comparing lung and mediastinal window settings for estimating lung cancer invasive size (IS) and invasiveness.
Purpose of the Study:
- To determine the optimal computed tomography (CT) window setting for preoperative estimation of invasive size (IS) and invasiveness in lung adenocarcinomas.
- To compare the predictive accuracy of lung window consolidation diameter versus mediastinal window tumor diameter for IS and invasiveness.
Main Methods:
- Retrospective review of 1,167 patients with lung adenocarcinomas ≤3 cm.
- Measurement of three high-resolution CT variables.
- Correlation analysis of IS with CT variables, including factors predicting IS ≤5 mm and other invasiveness indicators.
Main Results:
- Mediastinal window tumor diameter showed stronger prediction of IS than lung window consolidation diameter (p < 0.001).
- Lung window consolidation diameter was a better predictor of IS than maximum tumor diameter in the lung window (p < 0.001).
- Mediastinal window tumor diameter demonstrated the highest accuracy in predicting lymphatic, vascular, and pleural invasion.
Conclusions:
- Measuring tumor diameter in the mediastinal window setting provides the most precise preoperative estimation of IS and invasiveness in lung adenocarcinomas.
- Mediastinal window tumor diameter is a critical preoperative measurement for lung cancer staging and treatment planning.
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