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Completed

NCT Number: 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.

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Key information

Sex eligibility

All sexes

Study type

Observational

Primary location

Department of Neurosurgery, Kepler Universitäts Klinikum, Linz, Austria

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About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Primary outcomes

  1. Gross Total Resection

    Time frame: 2 to 4 months postoperatively

    Gross Total Resection on magnetic resonance imaging

  2. Extent of Resection

    Time frame: 2 to 4 months postoperatively

    Percentage of removed adenoma volume on magnetic resonance imaging

  3. Residual Adenoma Volume

    Time frame: 2 to 4 months postoperatively

    Percentage of original adenoma volume still visible at the postoperative magnetic resonance imaging

  4. Zurich Pituitary Score

    Time frame: On preoperative MRI

    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.

Sponsors and collaborators

Lead sponsor

University of Zurich

Other

Registry information

Important dates

Study start
2019
Primary completion
2021
Study completion
2021
First posted
Sep 3, 2019
Registry last updated
Dec 17, 2021

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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