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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
Purpose Breast cancer is the most frequently diagnosed cancer and the second leading cause of cancer-related deaths among women. Breast ultrasound is an effective tool for distinguishing between cystic and solid masses and for identifying suspicious features of solid masses that may warrant a biopsy. Nevertheless, many breast lesions may initially appear similar to fibroadenomas on ultrasound and can mimic benign morphological characteristics of fibroadenomas on ultrasound, making the differentiation between benign fibroadenomas and malignant tumors of the breast mimicking fibroadenomas...
Read more Methods and materials This retrospective study was approved by the local ethics review board and was conducted in accordance with the Declaration of Helsinki (as revised in 2013). After screening 623 patients, 421 cases with histologically verified fibroadenomas and MTMF between 2011 and 2021 were included. The ultrasound images of the patients included in the study were reviewed. Sonographic lesion features were compared to histopathological results which included specific diagnosis and histopathologic classification (B2 = benign; B3 = intermediate malignant potential or B5...
Read more Results A total of 363 benign, 18 intermediate and 40 malignant lesions were analysed. The majority of tumors were benign (86.2%, n = 363), with a smaller proportion exhibiting intermediate (4.3%, n = 18) or malignant differentiation (9.5%, n = 40). The most common benign tumors included fibroadenomas (90.9%, n = 319), fibrocystic mastopathy (7.1%, n = 25), and adenosis (2.9%, n = 10). Algorithm based quantitative ranking showed that the most predictive features indicating malignancy were hyperechoic rim (gain ratio...
Read more Conclusion 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.
Read more References 1. Rubio IT, Wyld L, Marotti L et al. European guidelines for the diagnosis, treatment and follow-up of breast lesions with uncertain malignant potential (B3 lesions) developed jointly by EUSOMA, EUSOBI, ESP (BWG) and ESSO. European Journal of Surgical Oncology 2024; 50: 107292. doi:10.1016/j.ejso.2023.1072922. Yoon GY, Cha JH, Kim HH et al. Sonographic features that can be used to differentiate between small triple-negative breast cancer and fibroadenoma. Ultrasonography 2018; 37: 149–156. doi:10.14366/usg.170363. Cho SH, Park SH. Mimickers of breast malignancy on breast...
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