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NCT05624736
Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning
trial testing multi-parametric magnetic resonance imaging scan in Astrocytoma in 500 participants. Status unknown.
1 May 2023
Quick facts
| Lead sponsor | The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 500 |
| Start date | 20 November 2022 |
| Primary completion | 1 May 2023 |
| Estimated completion | 1 May 2025 |
| Sites | 1 location across China |
Drugs / interventions tested
- multi-parametric magnetic resonance imaging scan
- Pathology examination
Conditions studied
- Astrocytoma — all drugs for Astrocytoma →
- Glioblastoma Multiforme — all drugs for Glioblastoma Multiforme →
- Oligodendroglioma — all drugs for Oligodendroglioma →
Sponsor
The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Who can join
Adults 18 to 90, any sex, with Astrocytoma or Glioblastoma Multiforme. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This is a restrospective study to establish a deep learning model based on multi-parametric magnetic resonance imaging scans to predict Grade, histopathologic type and genotype of adult diffuse Glioma.
Publications & conference data
3 peer-reviewed publications reference this trial (live from Europe PMC):
-
Identification of intrinsic imaging subtypes using clustering analysis based on dynamic contrast-enhanced magnetic resonance imaging radiomics features for gliomas: preliminary associations with gene expression profiles.
Zhou J, Duan S, Zhu Z, Wang H, et al · · 2025 · cited 3× · PMID 40384650 · DOI 10.21037/qims-24-1459 -
Fully automated Res3DNet model to predict IDH mutation of gliomas from whole-brain MRI free of tumor segmentation.
Zhu Z, Liu Y, Song Y, Zhou J, et al · · 2026 · PMID 41531733 · DOI 10.1016/j.isci.2025.114373 -
OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.
Zhu Z, Wang H, Li T, Huang TM, et al · · 2025 · PMID 40627394 · DOI 10.1073/pnas.2500004122
Verify or expand the search:
- PubMed search for NCT05624736
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05624736 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
- Last refreshed: 22 November 2022
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05624736.
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