Comparative analysis of intraoperative and imaging features of invasive growth in pituitary adenomas.

Knosp criteria cavernous sinus invasion intraoperative invasion invasion magnetic resonance imaging pituitary adenoma

Journal

European journal of endocrinology
ISSN: 1479-683X
Titre abrégé: Eur J Endocrinol
Pays: England
ID NLM: 9423848

Informations de publication

Date de publication:
27 May 2024
Historique:
received: 28 12 2023
revised: 04 03 2024
accepted: 18 03 2024
medline: 27 5 2024
pubmed: 27 5 2024
entrez: 27 5 2024
Statut: aheadofprint

Résumé

Most pituitary adenomas, also termed pituitary neuroendocrine tumors (PitNETs), are benign in nature and can be treated effectively by surgical resection, medical treatment and in special cases by radiotherapy. However, invasive growth can be an important feature of a more aggressive behavior and adverse prognosis. Extension of pituitary adenomas into the cavernous sinus can be categorized according to the Knosp criteria on magnetic resonance imaging (MRI). Comparative analyses of MRI features and intraoperative findings of invasive growth regarding different clinical factors are still scarce. We performed a retrospective single-center analysis of 764 pituitary adenomas that were surgically treated between October 2004 and April 2018. Invasive growth was assessed according to the surgical reports and preoperative MR imaging (Knosp criteria). Clinical data such as patient age at diagnosis and gender, histopathological adenoma type as well as extent of resection were collected. Invasive features on MRI were seen in 24.4% (Knosp grade 3A - 4, 186/764) of cases. Intraoperatively, invasion was present in 42.4% (324/764). Complete resection was achieved in 80.0% of adenomas and subtotal resection in 20.1%. By multivariate analysis, invasion according to intraoperative findings was associated with the sparsely granulated corticotroph (SGCA, p=0.0026) and sparsely granulated somatotroph (SGSA, p=0.0103) adenoma type as well as age (p=0.0287). Radiographic invasion according to Knosp grades 3A-4 correlated with age (p=0.0098), SGCAs (p=0.0005), SGSAs (p=0.0351) and gonadotroph adenomas (p=0.0478).Both criteria of invasion correlated with subtotal resection (p=0.0001, respectively). Both intraoperative and radiographic signs of invasive growth are high-risk lesions for incomplete extent of resection and occur more frequently in older patients. A particularly high prevalence of invasion can be found in the sparsely granulated corticotroph and somatotroph adenoma types. Cavernous sinus invasion is also more common in gonadotroph adenomas. Usage of the Knosp classification is a valuable preoperative estimation tool.

Sections du résumé

BACKGROUND BACKGROUND
Most pituitary adenomas, also termed pituitary neuroendocrine tumors (PitNETs), are benign in nature and can be treated effectively by surgical resection, medical treatment and in special cases by radiotherapy. However, invasive growth can be an important feature of a more aggressive behavior and adverse prognosis. Extension of pituitary adenomas into the cavernous sinus can be categorized according to the Knosp criteria on magnetic resonance imaging (MRI). Comparative analyses of MRI features and intraoperative findings of invasive growth regarding different clinical factors are still scarce.
MATERIALS AND METHODS METHODS
We performed a retrospective single-center analysis of 764 pituitary adenomas that were surgically treated between October 2004 and April 2018. Invasive growth was assessed according to the surgical reports and preoperative MR imaging (Knosp criteria). Clinical data such as patient age at diagnosis and gender, histopathological adenoma type as well as extent of resection were collected.
RESULTS RESULTS
Invasive features on MRI were seen in 24.4% (Knosp grade 3A - 4, 186/764) of cases. Intraoperatively, invasion was present in 42.4% (324/764). Complete resection was achieved in 80.0% of adenomas and subtotal resection in 20.1%. By multivariate analysis, invasion according to intraoperative findings was associated with the sparsely granulated corticotroph (SGCA, p=0.0026) and sparsely granulated somatotroph (SGSA, p=0.0103) adenoma type as well as age (p=0.0287). Radiographic invasion according to Knosp grades 3A-4 correlated with age (p=0.0098), SGCAs (p=0.0005), SGSAs (p=0.0351) and gonadotroph adenomas (p=0.0478).Both criteria of invasion correlated with subtotal resection (p=0.0001, respectively).
CONCLUSION CONCLUSIONS
Both intraoperative and radiographic signs of invasive growth are high-risk lesions for incomplete extent of resection and occur more frequently in older patients. A particularly high prevalence of invasion can be found in the sparsely granulated corticotroph and somatotroph adenoma types. Cavernous sinus invasion is also more common in gonadotroph adenomas. Usage of the Knosp classification is a valuable preoperative estimation tool.

Identifiants

pubmed: 38798200
pii: 7682498
doi: 10.1093/ejendo/lvae059
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of European Society of Endocrinology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

Auteurs

Mirko Hladik (M)

Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.
Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.
Department of Orthopedic, Trauma and Spine Surgery, Thun Hospital, Thun, Switzerland.

Isabella Nasi-Kordhishti (I)

Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.
Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.

Lorenz Dörner (L)

Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.
Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.

Kosmas Kandilaris (K)

Institute for Surgical Pathology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.

Jens Schittenhelm (J)

Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.
Department of Neuropathology, University Hospital Tübingen, Eberhard-Karls-University, Tübingen, Germany.

Benjamin Bender (B)

Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.
Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Eberhard-Karls-University, Tübingen, Germany.

Jürgen Honegger (J)

Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.
Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.

Felix Behling (F)

Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.
Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Germany.
Hertie Institute for Clinical Brain Research, Tübingen, Germany.

Classifications MeSH