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Reticulin Framework Assessment in Neoplastic Endocrine Pathology
Umberto Mortara1, Giulia Orlando2, Marco Volante3,4
1Pathology Unit, Città Della Salute E Della Scienza Hospital, Turin, Italy.
Reticulin stains visualize the reticulin framework (type III collagen) in endocrine and neuroendocrine neoplasms. Alterations in this framework aid in diagnosing pituitary, parathyroid, and adrenal tumors, improving diagnostic precision.
Area of Science:
- Endocrine Pathology
- Histopathology
- Oncology
Background:
- The reticulin framework, primarily type III collagen, is crucial for tissue structure.
- Reticulin stains offer a reliable, cost-effective method to assess framework alterations.
- These alterations are linked to various neoplastic and non-neoplastic conditions.
Purpose of the Study:
- To review reticulin stain applications in endocrine and neuroendocrine neoplasms.
- To highlight the role of reticulin framework assessment in diagnosis and prognosis.
- To explore future directions using digital pathology and AI.
Main Methods:
- Review of literature on reticulin staining in endocrine and neuroendocrine tumors.
- Analysis of reticulin framework patterns in pituitary, parathyroid, adrenal, and other neuroendocrine neoplasms.
- Discussion of the reticulin algorithm for adrenocortical malignancy assessment.
Main Results:
- Reticulin framework loss distinguishes normal from neoplastic adenohypophysis.
- Disrupted reticulin patterns aid in diagnosing parathyroid neoplasms.
- Reticulin evaluation is key in adrenocortical neoplasm malignancy assessment and subtype differentiation.
- Tumor-specific reticulin patterns are observed in pheochromocytomas and paragangliomas.
- Higher-grade neuroendocrine carcinomas show more significant reticulin disruption.
Conclusions:
- Reticulin staining is a valuable tool for evaluating endocrine and neuroendocrine neoplasms.
- Framework alterations assist in differential diagnosis, malignancy assessment, and prognosis.
- Digital pathology and AI integration promise enhanced automated quantification and diagnostic accuracy.
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