Your browser doesn't support javascript.
loading
Core needle biopsy in fibroepithelial tumors: predicting factors for phyllodes tumors
Faculdade de MedicinaReis, Yedda Nunes; Faculdade de MedicinaMaesaka, Jonathan Yugo; Faculdade de MedicinaShimizu, Carlos; Faculdade de MedicinaSoares-Júnior, José Maria; Faculdade de MedicinaBaracat, Edmund Chada; Faculdade de MedicinaFilassi, José Roberto.
Affiliation
  • Faculdade de MedicinaReis, Yedda Nunes; Universidade de Sao Paulo. Hospital das Clinicas HCFMUSP. Faculdade de MedicinaReis, Yedda Nunes. Sao Paulo. BR
  • Faculdade de MedicinaMaesaka, Jonathan Yugo; Universidade de Sao Paulo. Hospital das Clinicas HCFMUSP. Faculdade de MedicinaMaesaka, Jonathan Yugo. Sao Paulo. BR
  • Faculdade de MedicinaShimizu, Carlos; Universidade de Sao Paulo. Hospital das Clinicas HCFMUSP. Faculdade de MedicinaShimizu, Carlos. Sao Paulo. BR
  • Faculdade de MedicinaSoares-Júnior, José Maria; Universidade de Sao Paulo. Hospital das Clinicas HCFMUSP. Faculdade de MedicinaSoares-Júnior, José Maria. Sao Paulo. BR
  • Faculdade de MedicinaBaracat, Edmund Chada; Universidade de Sao Paulo. Hospital das Clinicas HCFMUSP. Faculdade de MedicinaBaracat, Edmund Chada. Sao Paulo. BR
  • Faculdade de MedicinaFilassi, José Roberto; Universidade de Sao Paulo. Hospital das Clinicas HCFMUSP. Faculdade de MedicinaFilassi, José Roberto. Sao Paulo. BR
Clinics ; Clinics;76: e2806, 2021. tab, graf
Article in En | LILACS | ID: biblio-1286083
Responsible library: BR1.1
ABSTRACT

OBJECTIVES:

This study aimed to evaluate the clinical and imaging predictive factors for the diagnosis of phyllodes tumors in patients with inconclusive results from core needle biopsy (fibroepithelial lesions).

METHODS:

We retrospectively analyzed data of patients who underwent surgical excision of breast lesions previously diagnosed as fibroepithelial lesions. Numeric variables were analyzed using the Shapiro-Wilk and t-tests, and categorical variables were analyzed using the chi-square and Fisher's exact tests. Multivariate logistic regression was performed to calculate odds ratios and detect predictive factors for the diagnosis of PT.

RESULTS:

A total of 89 biopsy samples were obtained from 77 patients, of which 43 were confirmed as fibroadenomas, 43 as phyllodes tumors, and 3 as other benign, non-fibroepithelial breast lesions. The mean tumor size was 3.61 cm (range, 0.8-10 cm) for phyllodes tumors and 2.4 cm (range, 0.8-7.9 cm) for fibroadenomas. The predictive factor for phyllodes tumor diagnosis was lesion size >3 cm (p<0.001).

CONCLUSION:

Our data indicate that fibroepithelial lesions of the breast larger than 3 cm are more likely to be phyllodes tumors.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: LILACS Main subject: Breast Neoplasms / Neoplasms, Fibroepithelial / Phyllodes Tumor Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Clinics Journal subject: MEDICINA Year: 2021 Document type: Article Affiliation country: Brazil Country of publication: Brazil

Full text: 1 Collection: 01-internacional Database: LILACS Main subject: Breast Neoplasms / Neoplasms, Fibroepithelial / Phyllodes Tumor Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Clinics Journal subject: MEDICINA Year: 2021 Document type: Article Affiliation country: Brazil Country of publication: Brazil