Clinical trial · Observational
Pre-operative Surgical Difficulty Stratification Using Predicted Tumor Perfusion and Consistency
Study on Preoperative Imaging for Precise Prediction of Surgical Difficulty, Efficacy, and Risks in Pituitary Adenoma Surgeries
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Pituitary adenomas (PAs) are among the most prevalent lesions of the sella turcica, accounting for 10%-25% of all intracranial neoplasms. Pituitary macroadenomas (PMAs) are defined with a maximum diameter of over 1 cm. Tumor characteristics are key factors influencing surgical effectiveness and complications of PMAs, with tumor perfusion and consistency identified as major predictive factors in literature. Conventional sequences provide limited information for predicting the perfusion and consistency of pituitary adenomas. Advanced sequences offer additional insights. However, the efficacy of combining radiomic features from multiparametric sequences, incorporating both conventional and advanced sequences, has not yet been proved. We aim to develop machine learning models that combines radiomic features developed from both conventional and advanced sequences to predict the perfusion and consistency of PMAs. Furthermore, we aim to demonstrate the clinically applicability of these models by constructing a MR-PIT stratification (Multiparametric Radiomic derived and tumor Perfusion and consIsTency based surgical difficulty stratification), which correlated with the surgical strategy and outcomes.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Pituitary Adenoma | Pituitary Neuroendocrine Tumor | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Advanced sequences, such as arterial spin labeling (ASL) and diffusion-weighted imaging (DWI) | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Extent of resection
- timeFrame
- From enrollment to the end of treatment at 12 weeks
Secondary outcomes (1)
- measure
- Severe postoperative complications
- timeFrame
- From enrollment to the end of treatment at 12 weeks
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * patients with tumor more than 2.5 cm of maximal diameter in the coronal plane * Functional and non-functional pituitary tumors Exclusion Criteria: * incomplete image data
References
Publications (0)
Data not yet available