Unknown OBSERVATIONAL NCT05536024

Combing a Deep Learning-Based Radiomics With Liquid Biopsy for Preoperative and Non-invasive Diagnosis of Glioma

Combing a Deep Learning-Based MRI Multimodal Radiomics Method With Liquid Biopsy Technique for Preoperative and Non-invasive Diagnosis of Glioma Grading and Molecular Subtype

Sponsor: Renmin Hospital of Wuhan University

Conditions Deep Learning Glioma (Diagnosis) Liquid Biopsy

Interventions Prediction of glioma grading and molecular subtype

Updated 4 times since 2022 Last updated: Sep 8, 2022 Started: May 1, 2022 Primary completion: May 1, 2023 Completion: Aug 30, 2023

This information is for research purposes only and is not medical advice. Consult a healthcare provider before making any medical decision.

A observational or N/A phase clinical study on Deep Learning and Glioma (Diagnosis), this trial is ongoing. The trial is conducted by Renmin Hospital of Wuhan University and has accumulated 4 data snapshots since 2022. Longitudinal tracking of this trial contributes to a broader understanding of treatment development timelines.

Status Flow

Change History

4 versions recorded

Oct 2024 — Present [monthly]

Unknown

Status: Recruiting → Unknown
Sep 2024 — Oct 2024 [monthly]

Recruiting
Jul 2024 — Sep 2024 [monthly]

Recruiting
Sep 2022 — Jul 2024 [monthly]

Recruiting

First recorded

May 2022

Trial started

Per CT.gov start date — pre-dates our first snapshot

Eligibility Summary

No eligibility information available.

Contact Information

Sponsor contact:

Renmin Hospital of Wuhan University
Second Affiliated Hospital of Nanchang University
Wuhan University

Data source: Second Affiliated Hospital of Nanchang University

For direct contact, visit the study record on ClinicalTrials.gov .

Study Locations

• Nanchang, China
• Wuhan, China