The Shape grading system: a classification for growth patterns of pituitary adenomas.


Journal

Acta neurochirurgica
ISSN: 0942-0940
Titre abrégé: Acta Neurochir (Wien)
Pays: Austria
ID NLM: 0151000

Informations de publication

Date de publication:
11 2021
Historique:
received: 08 03 2021
accepted: 10 06 2021
pubmed: 6 7 2021
medline: 25 11 2021
entrez: 5 7 2021
Statut: ppublish

Résumé

Long-term tumor control of pituitary adenomas may be achieved by gross total resection (GTR). Factors, which influence the extent of resection, are invasiveness, tumor size, and possibly tumor shape. Nevertheless, the latter factor has not been assessed so far and there is no classification for the different shapes. The aim of this study was to evaluate the impact of different tumor shapes on GTR rates and outcome according to our proposed "Shape grading system." In this retrospective single center study, the radiological outcome of nonfunctioning pituitary adenomas was assessed with respect to the following previously defined growth patterns: spherical (Shape I), oval (Shape II), dumbbell (Shape III), mushroom (Shape IV), and polylobulated (Shape V). A total of 191 patients were included (Shape I, n = 28 (15%); Shape II, n = 91 (48%); Shape III, n = 37 (19%); Shape IV, n = 12 (6%); Shape V, n = 23 (12%)). GTR was achieved in 101 patients (53%) with decreasing likelihood of GTR in higher shape grades (Shape I, n = 23 (82%); Shape II, n = 67 (74%); Shape III, n = 9 (24%); Shape IV, n = 2 (17%); Shape V, n = 0 (0%)). This correlated with larger tumor remnants, a higher risk of tumor recurrence/regrowth and therefore necessity of re-surgery and/or radiotherapy/radiosurgery. The "Shape grading system" may be used as a predictor of the outcome in nonfunctioning pituitary adenomas. The higher the "Shape grade," the higher the likelihood for lower GTR rates, larger tumor remnants, and need for further therapies.

Sections du résumé

BACKGROUND
Long-term tumor control of pituitary adenomas may be achieved by gross total resection (GTR). Factors, which influence the extent of resection, are invasiveness, tumor size, and possibly tumor shape. Nevertheless, the latter factor has not been assessed so far and there is no classification for the different shapes. The aim of this study was to evaluate the impact of different tumor shapes on GTR rates and outcome according to our proposed "Shape grading system."
METHODS
In this retrospective single center study, the radiological outcome of nonfunctioning pituitary adenomas was assessed with respect to the following previously defined growth patterns: spherical (Shape I), oval (Shape II), dumbbell (Shape III), mushroom (Shape IV), and polylobulated (Shape V).
RESULTS
A total of 191 patients were included (Shape I, n = 28 (15%); Shape II, n = 91 (48%); Shape III, n = 37 (19%); Shape IV, n = 12 (6%); Shape V, n = 23 (12%)). GTR was achieved in 101 patients (53%) with decreasing likelihood of GTR in higher shape grades (Shape I, n = 23 (82%); Shape II, n = 67 (74%); Shape III, n = 9 (24%); Shape IV, n = 2 (17%); Shape V, n = 0 (0%)). This correlated with larger tumor remnants, a higher risk of tumor recurrence/regrowth and therefore necessity of re-surgery and/or radiotherapy/radiosurgery.
CONCLUSION
The "Shape grading system" may be used as a predictor of the outcome in nonfunctioning pituitary adenomas. The higher the "Shape grade," the higher the likelihood for lower GTR rates, larger tumor remnants, and need for further therapies.

Identifiants

pubmed: 34223996
doi: 10.1007/s00701-021-04912-1
pii: 10.1007/s00701-021-04912-1
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3181-3189

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

Références

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Auteurs

Sven Berkmann (S)

Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland. sven.berkmann@ksa.ch.

Jaqueline Lattmann (J)

Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland.

Philipp Schuetz (P)

Division of Endocrinology, University Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland.

Michael Diepers (M)

Division of Neuroradiology, Department of Radiology, Kantonsspital Aarau, Aarau, Switzerland.

Luca Remonda (L)

Division of Neuroradiology, Department of Radiology, Kantonsspital Aarau, Aarau, Switzerland.

Javier Fandino (J)

Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland.

Michael Buchfelder (M)

Department of Neurosurgery, University Hospital Erlangen, Erlangen, Germany.

Beat Mueller (B)

Division of Endocrinology, University Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland.

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