2023
DOI: 10.1111/his.15058
|View full text |Cite
|
Sign up to set email alerts
|

Updates on lung neuroendocrine neoplasm classification

Giulia Vocino Trucco,
Luisella Righi,
Marco Volante
et al.

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 architectu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 128 publications
0
1
0
Order By: Relevance
“…The spectrum of lung neuroendocrine neoplasms (NENs) is one of the most rapidly evolving fields in lung pathology. Marco Volante and Mauro Papotti, from Milan, together with their colleagues, 9 give us excellent and in‐depth updates on both neuroendocrine tumours (typical and atypical carcinoid tumours) and neuroendocrine carcinomas (small cell carcinoma and large cell neuroendocrine carcinomas), including the morphological spectrum and immunophenotype of NENs, the issues regarding classification and its reproducibility, molecular profiles and subtypes, and prognostic and predictive markers. A potential role of artificial intelligence in diagnosis and classification of lung NENs is also discussed.…”
mentioning
confidence: 99%
“…The spectrum of lung neuroendocrine neoplasms (NENs) is one of the most rapidly evolving fields in lung pathology. Marco Volante and Mauro Papotti, from Milan, together with their colleagues, 9 give us excellent and in‐depth updates on both neuroendocrine tumours (typical and atypical carcinoid tumours) and neuroendocrine carcinomas (small cell carcinoma and large cell neuroendocrine carcinomas), including the morphological spectrum and immunophenotype of NENs, the issues regarding classification and its reproducibility, molecular profiles and subtypes, and prognostic and predictive markers. A potential role of artificial intelligence in diagnosis and classification of lung NENs is also discussed.…”
mentioning
confidence: 99%