Development and validation of Artificial Intelligence (AI) models for prediction of glioma and meningioma recurrence using preoperative MRI – A Multicenter study
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 380
- 试验地点
- 2
- 主要终点
- Phase I:
研究概览
简要总结
The study aims to develop and validate machine learning (ML) and deep learning (DL) models for predicting the recurrence of glioma and meningioma using preoperative magnetic resonance imaging (MRI).
In the initial phase, retrospective MRI data from 300 patients (150 with glioma and 150 with meningioma) will be used to train ML and DL models based on documented recurrence outcomes.
Subsequently, the developed AI models will undergo prospective validation using preoperative MRI scans, with reference to postoperative MRI findings to confirm recurrence status.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 80.00 Year(s)（—）
- 性别
- All
入选标准
- •Phase I (Retrospective) Inclusion criteria:
- •Pre- and post-operative MRI Brain Images of the patients diagnosed with meningioma / Gliomas Phase II (Prospective) Inclusion criteria:
- •Post operative cases referred for MRI Brain diagnosed with meningioma / Gliomas with available preoperative images.
排除标准
- •Phase I (Retrospective) Exclusion criteria:
- •Patients who had incomplete MRI Brain imaging data
- •Suboptimal MRI image quality Phase II (Prospective) Exclusion criteria:
- •Suboptimal MRI image quality.
结局指标
主要结局
Phase I:
时间窗: Phase I: (Retrospective) | 1. Preoperative MRI scan | 2. Post Operative MRI scan to check for the recurrence status | Phase II: | 1. Preoperative MRI | 2. Post Operative MRI scan to check for the recurrence status
The accuracy of Machine Learning (ML) and Deep Learning (DL) models for predicting glioma and meningioma recurrence using preoperative MRI with combined clinical and radiomic features.
时间窗: Phase I: (Retrospective) | 1. Preoperative MRI scan | 2. Post Operative MRI scan to check for the recurrence status | Phase II: | 1. Preoperative MRI | 2. Post Operative MRI scan to check for the recurrence status
Phase II:
时间窗: Phase I: (Retrospective) | 1. Preoperative MRI scan | 2. Post Operative MRI scan to check for the recurrence status | Phase II: | 1. Preoperative MRI | 2. Post Operative MRI scan to check for the recurrence status
Validation of the developed models
时间窗: Phase I: (Retrospective) | 1. Preoperative MRI scan | 2. Post Operative MRI scan to check for the recurrence status | Phase II: | 1. Preoperative MRI | 2. Post Operative MRI scan to check for the recurrence status
Development of explainable AI models
时间窗: Phase I: (Retrospective) | 1. Preoperative MRI scan | 2. Post Operative MRI scan to check for the recurrence status | Phase II: | 1. Preoperative MRI | 2. Post Operative MRI scan to check for the recurrence status
次要结局
- Radiomic characterization of tumors(1. Preoperative MRI Scan)
研究者
Dr Rajagopal Kadavigere Venkatachalaiah
Manipal Academy of Higher Education