Introduction Breast mases in female adolescents are rare and consist mainly of developmental lesions and benign tumours.1 The benign tumours seen are mostly fibroadenoma which is the most common breast tumour seen in adolescent females.2 It may ...
O.J. Uchendu +3 more
doaj +1 more source
Incidentally Diagnosed Lobular Carcinoma-inSitu in a Case of Multiple Fibroadenomas
A case of lobular carcinoma in situ (LCIS) arising within a fibroadenoma. Diagnosis of LCIS was made based on histopathological examination of the excised lumps.
Asma Niaz Khan
doaj
Fibroadenoma in axillary supernumerary breast: case report
CONTEXT: Supernumerary breast tissue may be affected by the same diseases and alterations that compromise topical breast tissue. Nevertheless, reports of fibroadenoma in supernumerary breast tissue in the axillae are rare.
Délio Marques Conde +4 more
doaj +1 more source
Asociación de Fibroadenoma mamario: Enfermedad de Hodgkin y cáncer inflamatorio bilateral de mama
Se presenta un caso de una paciente que presentó una enfermedad de Hodgkin asociada a fibroadenoma mamario y cáncer inflamatorio bilateral de mama. Se discuten algunos aspectos de la oncogenésis, enfatizando la aparición de un segundo tumor en portadores
Alberto Viola Alles +3 more
doaj
Carcinoma developing in a fibroadenoma in a woman with a family history of breast cancer: a case report and review of literature [PDF]
Chintamani, +22 more
core +1 more source
Invasive ductal carcinoma within fibroadenoma: a case report [PDF]
Lumturije H Gashi-Luci +2 more
core +1 more source
Co-existence of fibroadenoma, intraductal carcinoma and invasive ductal carcinoma in the unilateral breast mass: a case report and literature review. [PDF]
Zhong S, Xu H, Ye X, Xu Y, Fan Z.
europepmc +1 more source
Incidental Irregular Mass Within a Hamartoma Detected on Breast Ultrasound: A Case Report and Review of the Literature. [PDF]
Tang C +4 more
europepmc +1 more source
CCL19 and CCR6 as diagnostic biomarkers for differentiating phyllodes tumors from breast fibroadenomas: a machine learning-driven approach integrating EMT biology. [PDF]
Gao H, Lan Y, Lv L, Liu H.
europepmc +1 more source

