The Predictive Value of MRI for Adult-type Diffuse Gliomas

NCT06572592 | Not Yet Recruiting DMC

• 2 other identifiers: NO.[2021]209NSFC 82172015
• Study Type: observational
• Target: 200
• Locations: 0 countries
• Sites: N/A

Brief Summary

The goal of this observational study is to learn about the diagnostic value of preoperative MRI examination for adult-type diffuse gliomas. The main question it aims to answer is:

• Can preoperative MRI examination noninvasively predict genotype of gliomas?
• Can preoperative MRI examination noninvasively predict the overall survival of gliomas?
• Can preoperative MRI examination noninvasively predict Ki-67 proliferation status?

Conditions

Glioma

Keywords

glioma; MRI; IDH; Ki-67

Outcome Measures

Primary Outcomes (1)

• A model for predicting glioma grade and the status of prognosis-related molecular mutations, constructed using multiparametric MRI

  The prognosis-related molecular mutation status, such as IDH mutation, is classified as dichotomous data. Mutations, deletions, or amplifications are categorized into the positive group and are denoted as 1; the absence of mutation, deletion, or amplification is categorized into the negative group and is denoted as 0.

  Through study completion, an average of 7 years

Study Arms (1)

Adult-type diffuse gliomas

Inclusion Criteria: 1. First diagnosis of glioma, with no preoperative radiotherapy or chemotherapy. 2. Underwent multiparametric MRI examination in our hospital before surgery. 3. Tumor resection or biopsy was performed within 3 weeks after MRI examination. 4. Pathological examination confirmed glioma. Exclusion Criteria: 1. Inability to cooperate during MRI examination, resulting in poor image quality that prevents image analysis. 2. Surgery or biopsy specimens were unqualified and could not be analyzed pathologically.

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Study Site and Population Study Site: The First Affiliated Hospital of Sun Yat-sen University; Patients with glioma

You may qualify if:

• First diagnosis of glioma, with no preoperative radiotherapy or chemotherapy.
• Underwent multiparametric MRI examination in our hospital before surgery.
• Tumor resection or biopsy was performed within 3 weeks after MRI examination.
• Pathological examination confirmed glioma.

You may not qualify if:

• Inability to cooperate during MRI examination, resulting in poor image quality that prevents image analysis.
• Surgery or biopsy specimens were unqualified and could not be analyzed pathologically.

Sponsors & Collaborators

• First Affiliated Hospital, Sun Yat-Sen University: lead

Related Publications (1)

• Huang Y, He S, Hu H, Ma H, Huang Z, Zeng S, Mazu L, Zhou W, Zhao C, Zhu N, Wu J, Liu Q, Yang Z, Wang W, Shen G, Zhang N, Chu J. Added prognostic value of histogram features from preoperative multi-modal diffusion MRI in predicting Ki-67 proliferation for adult-type diffuse gliomas. Quant Imaging Med Surg. 2025 Sep 1;15(9):8423-8439. doi: 10.21037/qims-2025-242. Epub 2025 Aug 19.

  PMID: 40893487 DERIVED

MeSH Terms

Conditions

Glioma

Condition Hierarchy (Ancestors)

Neoplasms, Neuroepithelial; Neuroectodermal Tumors; Neoplasms, Germ Cell and Embryonal; Neoplasms by Histologic Type; Neoplasms; Neoplasms, Glandular and Epithelial; Neoplasms, Nerve Tissue

Central Study Contacts

Yingqian Huang

CONTACT

+86 17827066282; huangyq97@mail2.sysu.edu.cn

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Ms.

Study Record Dates

• First Submitted: August 22, 2024
• First Posted: August 27, 2024
• Study Start: August 22, 2024
• Primary Completion: May 1, 2025
• Study Completion (Estimated): May 1, 2030
• Last Updated: August 27, 2024

Record last verified: 2024-08