[Quantification of Ki-67 in PitNET (pituitary neuroendocrine tumors)/adenomas]
- PMID: 38992316
- PMCID: PMC11343892
- DOI: 10.1007/s00292-024-01319-4
[Quantification of Ki-67 in PitNET (pituitary neuroendocrine tumors)/adenomas]
Abstract
This study is the first to compare the determination of the Ki-67 index in pituitary neuroendocrine tumors (PitNET)/pituitary adenomas by pathologists with a computerized method (Cognition MasterSuite from VMScope, Berlin, Germany). PitNET/pituitary adenomas often show a low proliferation index. Observer variability is high, especially when estimating in this low percentage range. A more reliable determination would be possible using the four-eyes principle, but this cannot be realized continuously; thus, digital image analysis is a promising solution. In the study, there was clear agreement between the Ki-67 estimate by two experienced pathologists and the determination with the aid of digital image analysis. The digital image analysis system is excellent for determining the proliferation rate of PitNET/pituitary adenomas and can therefore be used to determine the "third" and "fourth eye".
Die vorliegende Studie vergleicht erstmals die Bestimmung des Ki-67-Index bei PitNET/Hypophysenadenomen durch Pathologen mit einer computergestützten Methode (Cognition MasterSuite, Fa. VMScope, Berlin). PitNET/Hypophysenadenomen weisen häufig einen geringen Proliferationsindex aus. Eine hohe Observervariabilität besteht v. a. bei der Schätzung in diesem niedrigen Prozentbereich. Eine zuverlässigere Festlegung wäre durch das 4‑Augen-Prinzip möglich, das jedoch nicht kontinuierlich zu realisieren ist. Abhilfe verspricht hier die digitale Bildanalyse. In der Untersuchung konnte eine deutliche Übereinstimmung der Ki-67-Schätzung durch zwei erfahrene Pathologen und der Bestimmung mit Hilfe der digitalen Bildanalyse gezeigt werden. Das digitale Bildanalysesystem ist hervorragend zur Bestimmung der Proliferationsrate von PitNET/Hypophysenadenomen geeignet und kann daher das „dritte“ und „vierte Auge“ darstellen.
Keywords: Digital image analysis; Ki-67-index; PitNET/adenoma; Pituitary gland; Proliferation.
© 2024. The Author(s).
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