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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.
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.
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| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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Inclusion Criteria:
Exclusion Criteria:
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Consecutive serie of patients undergoing endoscopic transsphenoidal pituitary adenoma surgery
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| Name | Affiliation | Role |
|---|---|---|
| Carlo Serra, MD | Klinik für Neurochirurgie, UniversitätsSpital Zürich, Switzerland | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Donald and Barbara Zucker School of Medicine at Hofstra/Northwell | New York | New York | 11030 | United States | ||
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31392567 | Background | 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. | |
| 30267209 |
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| ID | Term |
|---|---|
| D010911 | Pituitary Neoplasms |
| ID | Term |
|---|---|
| D004701 | Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D007029 | Hypothalamic Neoplasms |
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| 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 | Naples | Italy |
| Reparto di Neurochirurgia, Ospedale di Circolo e Fondazione Macchi, Universita' dell'Insubria | Varese | Italy |
| CHUV | Lausanne | Switzerland |
| Department of Neurosurgery | Zurich | Switzerland |
| 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. |
| D015173 |
| Supratentorial Neoplasms |
| D001932 | Brain Neoplasms |
| D016543 | Central Nervous System Neoplasms |
| D009423 | Nervous System Neoplasms |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D007027 | Hypothalamic Diseases |
| D010900 | Pituitary Diseases |
| D004700 | Endocrine System Diseases |