Multicentric Prospective Validation of the Zurich Pituitary Score
1 other identifier
observational
408
6 countries
10
Brief Summary
Predictive analytics for GTR, EOR and RV are useful in surgical decision-making, particularly whenever there is no unequivocal indication for surgery. Several factors have been shown to have a role in predicting GTR. Among these, the Knosp classification has proven over the years to be a good predictor of GTR. The score is based on the lateral extension of the adenoma in relation the the intracranial bedding of the internal carotid artery. However, recent literature has demonstrated that the Knosp classification suffers from relatively poor interrater agreement. Moreover the classification was conceived in an era when endoscopic techniques were not available: nowadays endoscopic technique allows visualization and possibly also reaching portions of adenoma which at the time when the Knosp classification was introduced were simply not possible. Lastly, the efficacy of the Knosp's score in predicting also EOR and RV has never been tested. Recently a new score - the Zurich Pituitary Score (ZPS) has been proposed at the University Hospital of Zürich (USZ). The score has proved in the examined series to be more powerful than the Knosp classification in predicting GTR, EOR and RV. A good interrater agreement was also demonstrated. The score however, has been validated only in a monocentric setting with a limited number of patients. The aim of this study is to assess the (1) predictive ability of the ZPS for GTR, EOR, and RV, and (2) the inter-rater agreement of the ZPS in an external validation study.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2019
Typical duration for all trials
10 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 29, 2019
CompletedFirst Posted
Study publicly available on registry
September 3, 2019
CompletedStudy Start
First participant enrolled
November 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2021
CompletedDecember 17, 2021
December 1, 2021
1.5 years
August 29, 2019
December 2, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Gross Total Resection
Gross Total Resection on magnetic resonance imaging
2 to 4 months postoperatively
Extent of Resection
Percentage of removed adenoma volume on magnetic resonance imaging
2 to 4 months postoperatively
Residual Adenoma Volume
Percentage of original adenoma volume still visible at the postoperative magnetic resonance imaging
2 to 4 months postoperatively
Zurich Pituitary Score
Four-tier score as follows: Grade Criteria I R \< 0.75 II 0.75 \< R \< 1.25 III 1.25 \< R IV Encasement of the intracavernous ICA R = ratio of maximum horizontal tumor diameter divided by the minimum intercarotid distance at the intracavernous horizontal C4 segment of the ICA.
On preoperative MRI
Eligibility Criteria
Consecutive serie of patients undergoing endoscopic transsphenoidal pituitary adenoma surgery
You may qualify if:
- Patients harboring suspected pituitary adenoma.
- Patients undergoing endoscopic transsphenoidal surgery
- Preoperative MRI including at least one volumetric sequence (i.e. MPRAGE or SPGR) with gadolinium with possibility for coronal reconstructions
- Postoperative MRI (2-4 months postoperative) including at least one volumetric sequence (i.e. MPRAGE or SPGR) with Gadolinium with possibility for coronal reconstructions
You may not qualify if:
- Patients undergoing combined or transcranial operations
- Patients for whom a biopsy only is planned
- Patients by whom histology does not confirm the diagnosis of pituitary adenoma
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (10)
Donald and Barbara Zucker School of Medicine at Hofstra/Northwell
New York, New York, 11030, United States
Department of Neurosurgery, Kepler Universitäts Klinikum
Linz, Austria
Toronto Western Hospital, University of Toronto
Toronto, Canada
Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital
Prague, Czechia
IRCCS Istituto delle Scienze Neurologiche di Bologna
Bologna, Italy
Azienda Ospedaliera Universitaria Careggi
Florence, Italy
Universita' degli Studi Federico II
Napoli, Italy
Reparto di Neurochirurgia, Ospedale di Circolo e Fondazione Macchi, Universita' dell'Insubria
Varese, Italy
CHUV
Lausanne, Switzerland
Department of Neurosurgery
Zurich, Switzerland
Related Publications (2)
Staartjes VE, Serra C, Maldaner N, Muscas G, Tschopp O, Soyka MB, Holzmann D, Regli L. The Zurich Pituitary Score predicts utility of intraoperative high-field magnetic resonance imaging in transsphenoidal pituitary adenoma surgery. Acta Neurochir (Wien). 2019 Oct;161(10):2107-2115. doi: 10.1007/s00701-019-04018-9. Epub 2019 Aug 7.
PMID: 31392567BACKGROUNDSerra C, Staartjes VE, Maldaner N, Muscas G, Akeret K, Holzmann D, Soyka MB, Schmid C, Regli L. Predicting extent of resection in transsphenoidal surgery for pituitary adenoma. Acta Neurochir (Wien). 2018 Nov;160(11):2255-2262. doi: 10.1007/s00701-018-3690-x. Epub 2018 Sep 29.
PMID: 30267209BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Carlo Serra, MD
Klinik für Neurochirurgie, UniversitätsSpital Zürich, Switzerland
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 3 Months
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal investigator
Study Record Dates
First Submitted
August 29, 2019
First Posted
September 3, 2019
Study Start
November 1, 2019
Primary Completion
May 1, 2021
Study Completion
December 1, 2021
Last Updated
December 17, 2021
Record last verified: 2021-12
Data Sharing
- IPD Sharing
- Will not share