- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04076046
Multicentric Prospective Validation of the Zurich Pituitary Score
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.
Study Overview
Status
Conditions
Detailed Description
In transsphenoidal surgery (TSS) for pituitary adenoma (PA), gross total resection (GTR) is often the target since it has been shown to relevantly influence long term patient outcome. This applies both to functioning adenomas (FA) as well as to non-functioning adenomas (NFPA). Mounting evidence shows that in cases where GTR is not achievable, maximizing extent of resection (EOR) is still highly desirable, particularly in case of FA, with the aim of obtaining the smallest possible residual volume (RV).
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.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Linz, Austria
- Department of Neurosurgery, Kepler Universitäts Klinikum
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Toronto, Canada
- Toronto Western Hospital, University of Toronto
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Praha, Czechia
- Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital
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Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna
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Firenze, Italy
- Azienda Ospedaliera Universitaria Careggi
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Napoli, Italy
- Universita' degli Studi Federico II
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Varese, Italy
- Reparto di Neurochirurgia, Ospedale di Circolo e Fondazione Macchi, Universita' dell'Insubria
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Lausanne, Switzerland
- CHUV
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Zürich, Switzerland
- Department of Neurosurgery
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New York
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New York, New York, United States, 11030
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- 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
Exclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Gross Total Resection
Time Frame: 2 to 4 months postoperatively
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Gross Total Resection on magnetic resonance imaging
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2 to 4 months postoperatively
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Extent of Resection
Time Frame: 2 to 4 months postoperatively
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Percentage of removed adenoma volume on magnetic resonance imaging
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2 to 4 months postoperatively
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Residual Adenoma Volume
Time Frame: 2 to 4 months postoperatively
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Percentage of original adenoma volume still visible at the postoperative magnetic resonance imaging
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2 to 4 months postoperatively
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Zurich Pituitary Score
Time Frame: On preoperative MRI
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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
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Collaborators and Investigators
Sponsor
Investigators
- Study Director: Carlo Serra, MD, Klinik für Neurochirurgie, UniversitätsSpital Zürich, Switzerland
Publications and helpful links
General Publications
- 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.
- Serra 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Brain Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- Neoplasms by Histologic Type
- Neoplasms
- Neoplasms by Site
- Neoplasms, Glandular and Epithelial
- Endocrine System Diseases
- Endocrine Gland Neoplasms
- Hypothalamic Diseases
- Hypothalamic Neoplasms
- Supratentorial Neoplasms
- Brain Neoplasms
- Central Nervous System Neoplasms
- Nervous System Neoplasms
- Adenoma
- Pituitary Neoplasms
- Pituitary Diseases
Other Study ID Numbers
- ZPS prospective validation
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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