Clinical trial · Observational
Prospective Ultrafast MRI Radiomics for Breast Cancer
Ultrafast MRI Radiomics to Classify Histological Factors and Subtypes of Breast Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The goal of this prospective study is to investigate the performance of ultrafast MRI radiomics in classifying histological factors and subtypes of breast cancer compared with standard MRI among radiologists with varying experience. The written informed consent was obtained from all participant. We extracted 1618 radiomic features from ultrafast and standard contrast-enhanced MRI before treatment. Classification of hormonal receptors, human epidermal growth factor receptor 2, and Ki67 status and subtypes was evaluated using the area under the receiver-operating characteristic curve (AUC) with the DeLong test.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| MRI | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- The signal intensity of MRI according to histological factors and subtypes of breast cancer
- timeFrame
- Baseline, pre-surgery
- description
- Quantitative image values obtained from ultrafast MRI show similar performance in classifying histological factors and subtypes compared with standard MRI.
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 27 Years
- Maximum age
- 86 Years
Show eligibility criteria text
Inclusion Criteria: * Diagnosed with invasive breast cancer Exclusion Criteria: * Diagnosed with other cancer
References
Publications (1)
- DERIVEDJeong J, Ham S, Seo BK, Lee JT, Wang S, Bae MS, Cho KR, Woo OH, Song SE, Choi H. Superior performance in classification of breast cancer molecular subtype and histological factors by radiomics based on ultrafast MRI over standard MRI: evidence from a prospective study. Radiol Med. 2025 Mar;130(3):368-380. doi: 10.1007/s11547-025-01956-6. Epub 2025 Jan 25. PMID 39862364