Breast Cancer
Conditions
Brief summary
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.
Interventions
DIAGNOSTIC_TESTMRI
MRI based classification of breast cancer histological factors and subtypes
Sponsors
Korea University Ansan Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
FEMALE
Age
27 Years to 86 Years
Healthy volunteers
No
Inclusion criteria
* Diagnosed with invasive breast cancer
Exclusion criteria
* Diagnosed with other cancer
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The signal intensity of MRI according to histological factors and subtypes of breast cancer | Baseline, pre-surgery | Quantitative image values obtained from ultrafast MRI show similar performance in classifying histological factors and subtypes compared with standard MRI. |
Countries
South Korea
Outcome results
None listed