Imaging and Management of Fibroepithelial Lesions of the Breast: Radiologic-Pathologic Correlation.
Meng ZhangFirouzeh K ArjmandiJessica H PorembkaStephen J SeilerSally Hayward GoudreauKanwal MerchantHelena HwangJody C HayesPublished in: Radiographics : a review publication of the Radiological Society of North America, Inc (2023)
Fibroepithelial lesions (FELs) are among the most common breast masses encountered by breast radiologists and pathologists. They encompass a spectrum of benign and malignant lesions, including fibroadenomas (FAs) and phyllodes tumors (PTs). FAs are typically seen in young premenopausal women, with a peak incidence at 20-30 years of age, and have imaging features of oval circumscribed hypoechoic masses. Although some FA variants are especially sensitive to hormonal influences and can exhibit rapid growth (eg, juvenile FA and lactational adenomas), most simple FAs are slow growing and involute after menopause. PTs can be benign, borderline, or malignant and are more common in older women aged 40-50 years. PTs usually manifest as enlarging palpable masses and are associated with a larger size and sometimes with an irregular shape at imaging compared with FAs. Although FA and FA variants are typically managed conservatively unless large and symptomatic, PTs are surgically excised because of the risk of undersampling at percutaneous biopsy and the malignant potential of borderline and malignant PTs. As a result of the overlap in imaging and histologic appearances, FELs can present a diagnostic challenge for the radiologist and pathologist. Radiologists can facilitate accurate diagnosis by supplying adequate tissue sampling and including critical information for the pathologist at the time of biopsy. Understanding the spectrum of FELs can facilitate and guide appropriate radiologic-pathologic correlation and timely diagnosis and management of PTs. Published under a CC BY 4.0 license. Online supplemental material is available for this article. Quiz questions for this article are available through the Online Learning Center.
Keyphrases
- high resolution
- ultrasound guided
- fine needle aspiration
- health information
- postmenopausal women
- artificial intelligence
- social media
- copy number
- squamous cell carcinoma
- randomized controlled trial
- fluorescence imaging
- computed tomography
- locally advanced
- radiation therapy
- risk factors
- machine learning
- lymph node
- contrast enhanced ultrasound
- deep learning
- rectal cancer
- genome wide
- middle aged