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Published on: January 17, 2018
Pulmonary Neuroendocrine Tumors.
1Department of Pathology and Laboratory Medicine, University of Pennsylvania Medical Center, 6 Founders Building, 3400 Spruce Street, Philadelphia, PA 19104, USA; Section of Medical Pathology, University of Pennsylvania Medical Center, 3400 Spruce Street, Philadelphia, PA 19104, USA.
This review addresses the practical challenges in diagnosing pulmonary neuroendocrine tumors using the World Health Organization (WHO) classification, especially for small biopsy samples. It emphasizes a context-specific approach for accurate diagnosis in daily practice.
Area of Science:
- Pulmonary Pathology
- Oncology
- Diagnostic Histopathology
Background:
- Pulmonary neuroendocrine tumors (PNETs) are common in biopsy and resection specimens.
- The World Health Organization (WHO) classification is the global standard for diagnosing PNETs.
- Current WHO criteria present practical difficulties and controversies in daily application.
Purpose of the Study:
- To review the WHO classification criteria for pulmonary neuroendocrine tumors.
- To highlight practical difficulties and controversies associated with the current classification.
- To emphasize a context-specific diagnostic approach, particularly for small biopsies and frozen sections.
Main Methods:
- Review of the World Health Organization (WHO) classification for pulmonary neuroendocrine tumors.
- Analysis of diagnostic challenges in small biopsy and resection specimens.
- Discussion of differential diagnoses in challenging clinical contexts.
Main Results:
- WHO criteria are primarily based on resected specimens, not typical clinical scenarios.
- Diagnostic difficulties are frequently encountered in small biopsies and frozen sections.
- A practical, context-aware approach is crucial for accurate PNET diagnosis.
Conclusions:
- The WHO classification for pulmonary neuroendocrine tumors requires careful application in practice.
- Understanding the limitations of criteria in small biopsies is essential.
- A pragmatic approach aids in overcoming diagnostic challenges for PNETs.
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