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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.
  • 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 ; 76: e2806, 2021. tab, graf
Article in English | LILACS | ID: biblio-1286083
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)


Full text: Available Index: LILACS (Americas) Main subject: Breast Neoplasms / Neoplasms, Fibroepithelial / Phyllodes Tumor Type of study: Diagnostic study / Observational study / Prognostic study / Risk factors Limits: Humans Language: English Journal: Clinics Journal subject: Medicine Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade de Sao Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Breast Neoplasms / Neoplasms, Fibroepithelial / Phyllodes Tumor Type of study: Diagnostic study / Observational study / Prognostic study / Risk factors Limits: Humans Language: English Journal: Clinics Journal subject: Medicine Year: 2021 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade de Sao Paulo/BR