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Introduction: The International Association for the Study of Lung Cancer developed a global multicenter database to propose evidence-based revisions for the ninth edition of the TNM classification of pleural mesothelioma (PM). This study analyzes the M category to validate eighth edition M category recommendations.

Methods: Cases were submitted electronically or by transfer of existing institutional databases for patients with histologically or cytologically confirmed PM.

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Article Synopsis
  • The International Association for the Study of Lung Cancer created an international database to assess the need for updates to the TNM classification of diffuse pleural mesothelioma (PM) based on clinical and pathologic N categories from 2013 to 2022.
  • After analyzing 3,598 cases, the study found that the existing eighth edition N categories performed adequately, with patients classified as N0 showing better overall survival compared to N1 patients.
  • The results indicate no necessary changes to the N categories for the ninth edition of the PM staging system, as the findings support continuing the current classification.
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Introduction: The eighth edition of the TNM classification of pleural mesothelioma (PM) saw substantial changes in T and N components and stage groupings. The International Association for the Study of Lung Cancer collected data into a multinational database to further refine this classification. This ninth edition proposal incorporates changes proposed in the clinical (c)T component but not the pathologic T component, to include size criteria, and further refines TNM stage groupings for PM.

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Introduction: The primary tumor (T) component in the eighth edition of pleural mesothelioma (PM) staging system is based on pleural involvement and extent of invasion. Quantitative assessment of pleural tumor has been found to be prognostic. We explored quantitative and qualitative metrics to develop recommendations for T descriptors in the upcoming ninth edition of the PM staging system.

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Wolves have returned to Germany since 2000. Numbers have grown to 209 territorial pairs in 2021. XGBoost machine learning, combined with SHAP analysis is applied to predict German wolf pair presence in 2022 for 10 × 10 km grid cells.

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