Lung neuroendocrine neoplasms (NENs) are a heterogeneous group of pulmonary neoplasms showing different morphological patterns and clinical and biological characteristics. The World Health Organisation (WHO) classification of lung NENs has been recently updated as part of the broader attempt to uniform the classification of NENs. This much-needed update has come at a time when insights from seminal molecular characterisation studies revolutionised our understanding of the biological and pathological architecture of lung NENs, paving the way for the development of novel diagnostic techniques, prognostic factors and therapeutic approaches. In this challenging and rapidly evolving landscape, the relevance of the 2021 WHO classification has been recently questioned, particularly in terms of its morphology-orientated approach and its prognostic implications. Here, we provide a state-of-the-art review on the contemporary understanding of pulmonary NEN morphology and the potential contribution of artificial intelligence, the advances in NEN molecular profiling with their impact on the classification system and, finally, the key current and upcoming prognostic factors.Highlights of major advances in lung neuroendocrine neoplasm classification, including the introduction of NET G3 in the classification framework, the potential impact of Artificial Intellignce, and the identification of novel prognostic molecular biomarkers.image

Updates on lung neuroendocrine neoplasm classification

Righi, Luisella;Volante, Marco
;
Papotti, Mauro
2023-01-01

Abstract

Lung neuroendocrine neoplasms (NENs) are a heterogeneous group of pulmonary neoplasms showing different morphological patterns and clinical and biological characteristics. The World Health Organisation (WHO) classification of lung NENs has been recently updated as part of the broader attempt to uniform the classification of NENs. This much-needed update has come at a time when insights from seminal molecular characterisation studies revolutionised our understanding of the biological and pathological architecture of lung NENs, paving the way for the development of novel diagnostic techniques, prognostic factors and therapeutic approaches. In this challenging and rapidly evolving landscape, the relevance of the 2021 WHO classification has been recently questioned, particularly in terms of its morphology-orientated approach and its prognostic implications. Here, we provide a state-of-the-art review on the contemporary understanding of pulmonary NEN morphology and the potential contribution of artificial intelligence, the advances in NEN molecular profiling with their impact on the classification system and, finally, the key current and upcoming prognostic factors.Highlights of major advances in lung neuroendocrine neoplasm classification, including the introduction of NET G3 in the classification framework, the potential impact of Artificial Intellignce, and the identification of novel prognostic molecular biomarkers.image
2023
84
1
67
85
https://onlinelibrary.wiley.com/doi/10.1111/his.15058
artificial intelligence; classification; lung; molecular profile; neuroendocrine neoplasm
Vocino Trucco, Giulia; Righi, Luisella; Volante, Marco; Papotti, Mauro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1947398
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