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NCT03543215
Can Staging Magnetic Resonance Imaging (MRI) Features Prognosticate Patients Presenting With Endometrial Cancer?
trial testing Radiomics: Analysis of textural features of imaging (MRI and Ultrasound) in Endometrial Cancer in 500 participants. Status unknown.
10 December 2021
Quick facts
| Lead sponsor | Imperial College London |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 500 |
| Start date | 13 July 2017 |
| Primary completion | 10 December 2021 |
| Estimated completion | 10 December 2025 |
| Sites | 1 location across United Kingdom |
Drugs / interventions tested
- Radiomics: Analysis of textural features of imaging (MRI and Ultrasound)
Conditions studied
- Endometrial Cancer — all drugs for Endometrial Cancer →
- Endometrial Neoplasms — all drugs for Endometrial Neoplasms →
Sponsor
Imperial College London
Who can join
18 and older, female only, with Endometrial Cancer or Endometrial Neoplasms. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Aim: Assess the value of MRI features in predicting prognosis in patients with endometrial cancer This study will examine the MRI features of women with confirmed endometrial cancer to see if textural features can prognosticate patients.
Publications & conference data
3 peer-reviewed publications reference this trial (live from Europe PMC):
-
Prediction of Deep Myometrial Infiltration, Clinical Risk Category, Histological Type, and Lymphovascular Space Invasion in Women with Endometrial Cancer Based on Clinical and T2-Weighted MRI Radiomic Features.
Li X, Dessi M, Marcus D, Russell J, et al · · 2023 · cited 16× · PMID 37190137 · DOI 10.3390/cancers15082209 -
An Integrated Clinical-MR Radiomics Model to Estimate Survival Time in Patients With Endometrial Cancer.
Li X, Marcus D, Russell J, Aboagye EO, et al · · 2023 · cited 14× · PMID 36484309 · DOI 10.1002/jmri.28544 -
Weibull parametric model for survival analysis in women with endometrial cancer using clinical and T2-weighted MRI radiomic features.
Li X, Marcus D, Russell J, Aboagye EO, et al · · 2024 · cited 5× · PMID 38724889 · DOI 10.1186/s12874-024-02234-1
Verify or expand the search:
- PubMed search for NCT03543215
- 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 NCT03543215 (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 Imperial College London
- Last refreshed: 12 February 2021
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/NCT03543215.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing