Congress:
ECR25
Poster Number:
C-11257
Type:
Poster: EPOS Radiologist (scientific)
Authorblock:
M. Swoboda, J. Deeg, D. Egle, V. Ladenhauf, M. Galijašević, S. Haushammer, B. Amort, M. Pamminger, L. Gruber; Innsbruck/AT
Disclosures:
Michael Swoboda:
Nothing to disclose
Johannes Deeg:
Nothing to disclose
Daniel Egle:
Nothing to disclose
Valentin Ladenhauf:
Nothing to disclose
Malik Galijašević:
Nothing to disclose
Silke Haushammer:
Nothing to disclose
Birgit Amort:
Nothing to disclose
Mathias Pamminger:
Nothing to disclose
Leonhard Gruber:
Nothing to disclose
Keywords:
Artificial Intelligence, Breast, Oncology, Elastography, Ultrasound, Diagnostic procedure, Cancer
Ultrasound findings for fibroadenomas vary, making identification of MTMF challenging. Our study highlights the difficulty of accurately classifying these lesions, particularly when comparing BI-RADS classifications with final histopathological results. The most reliable ultrasound features indicative of fibroadenoma-mimicking malignant lesions (MTMF) include imaging features commonly associated with malignancy, such as a hyperechoic rim, irregular borders, perilesional stiffening, pectoral muscle contact, irregular shape, and abnormal vascularity.