Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MRI | Diagnostic Test | MRI based classification of breast cancer histological factors and subtypes |
| Measure | Description | Time Frame |
|---|---|---|
| The signal intensity of MRI according to histological factors and subtypes of breast cancer | Quantitative image values obtained from ultrafast MRI show similar performance in classifying histological factors and subtypes compared with standard MRI. | Baseline, pre-surgery |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
The study population should fulfill the following criteria as follows:(a) histologically confirmed invasive breast cancer, (b) participant consent, and (c) MRI performed before treatment.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Bo Kyoung Seo, MD, PhD | Korea University Ansan Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Bo Kyoung Seo | Ansan | 15355 | South Korea |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39862364 | Derived | Jeong 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. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
| D017437 |
| Skin and Connective Tissue Diseases |