Research Presentation Sessions: Breast

RPS 1402 - Radiomics-enhanced MRI

Lectures

1
MRI-based radiomics approach predicts tumour recurrence in ER+/Her2-early breast cancer

MRI-based radiomics approach predicts tumour recurrence in ER+/Her2-early breast cancer

07:00Gaetano Piccolo, Sant'Anastasia (Naples) / IT

2
Combining ultrafast MRI sequence with artificial intelligence (AI) for breast cancer detection

Combining ultrafast MRI sequence with artificial intelligence (AI) for breast cancer detection

07:00Jerome Schmid, Geneva / CH

3
Radiomics for ultrafast dynamic contrast-enhanced MRI to predict prognostic biomarkers and subtypes of breast cancer: compared to conventional MRI in a single-centre prospective cohort

Radiomics for ultrafast dynamic contrast-enhanced MRI to predict prognostic biomarkers and subtypes of breast cancer: compared to conventional MRI in a single-centre prospective cohort

07:00Ju-Hyun Jeong, Ansan / KR

4
Role of ultrafast dynamic contrast-enhanced MRI: prognostic imaging markers of breast cancer

Role of ultrafast dynamic contrast-enhanced MRI: prognostic imaging markers of breast cancer

07:00Seoyeon Choe, Daejeon / KR

5
Analysis of radiomic features in the MRI assessment of the response to neoadjuvant chemotherapy in patients with triple-negative breast cancer

Analysis of radiomic features in the MRI assessment of the response to neoadjuvant chemotherapy in patients with triple-negative breast cancer

07:00Nicolò Damiani, Bari / IT

6
AI-based anomaly detection identifies precursors of future lesions in breast MRI of high-risk women: a feasibility study

AI-based anomaly detection identifies precursors of future lesions in breast MRI of high-risk women: a feasibility study

07:00Bianca Burger, Vienna / AT

7
Preoperative assessment of axillary lymph-node involvement in breast cancer: a hybrid 18F-FDG PET/MRI radiomics and machine-learning study

Preoperative assessment of axillary lymph-node involvement in breast cancer: a hybrid 18F-FDG PET/MRI radiomics and machine-learning study

07:00Valeria Romeo, Naples / IT

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