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Active Not RecruitingNCT06664190

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

Status
Active Not Recruiting
Phase
Study type
Observational
Enrollment
200 (estimated)
Sponsor
Huashan Hospital · Academic / Other
Sex
All
Age
Healthy volunteers
Not accepted

Summary

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

Interventions

TypeNameDescription
DIAGNOSTIC_TESTAdvanced sequences, such as arterial spin labeling (ASL) and diffusion-weighted imaging (DWI)Advanced sequences, such as arterial spin labeling (ASL) and diffusion-weighted imaging (DWI)

Timeline

Start date
2022-08-01
Primary completion
2025-01-01
Completion
2025-06-01
First posted
2024-10-29
Last updated
2024-10-29

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT06664190. Inclusion in this directory is not an endorsement.