JOSE ROBERTO FILASSI

(Fonte: Lattes)
Índice h a partir de 2011
16
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina
LIM/58 - Laboratório de Ginecologia Estrutural e Molecular, Hospital das Clínicas, Faculdade de Medicina

Resultados de Busca

Agora exibindo 1 - 10 de 29
  • bookPart
    Ginecomastia
    (2019) FORMIGONI, Maria Carolina; MAESAKA, Jonathan Yugo; FILASSI, José Roberto
  • bookPart
    Patologia benigna da mama na infância e na adolescência
    (2019) MAESAKA, Jonathan Yugo; GIRIBELA, Arícia Helena Galvão; FILASSI, José Roberto
  • article 1 Citação(ões) na Scopus
    Underestimation Rate in the Percutaneous Diagnosis of Radial Scar/Complex Sclerosing Lesion of the Breast: Systematic Review
    (2022) ZANON, Ana Beatrice Bonganha; MAESAKA, Jonathan Yugo; CHEQUIN, Bruna Bello; SANTOS, Ana Gabriela de Siqueira; BARACAT, Edmund Chada; FILASSI, Jose Roberto
    Objective To evaluate the underestimation rate in breast surgical biopsy after the diagnosis of radial scar/complex sclerosing lesion through percutaneous biopsy. Data Sources A systematic review was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations. The Pub M ed, SciELO, Cochrane, and Embase databases were consulted, with searches conducted through November 2020, using specific keywords ( radial scar OR complex sclerosing lesion , breast cancer , anatomopathological percutaneous biopsy AND/OR surgical biopsy ). Data collection Study selection was conducted by two researchers experienced in preparing systematic reviews. The eight selected articles were fully read, and a comparative analysis was performed. Study selection A total of 584 studies was extracted, 8 of which were selected. One of them included women who had undergone a percutaneous biopsy with a histological diagnosis of radial scar/complex sclerosing lesion and subsequently underwent surgical excision; the results were used to assess the underestimation rate of atypical and malignant lesions. Data synthesis The overall underestimation rate in the 8 studies ranged from 1.3 to 40% and the invasive lesion underestimation rate varied from 0 to 10.5%. Conclusion The histopathological diagnosis of a radial scar/complex sclerosing lesion on the breast is not definitive, and it may underestimate atypical and malignant lesions, which require a different treatment, making surgical excision an important step in diagnostic evaluation.
  • article 3 Citação(ões) na Scopus
    Core needle biopsy in fibroepithelial tumors: predicting factors for phyllodes tumors
    (2021) REIS, Yedda Nunes; MAESAKA, Jonathan Yugo; SHIMIZU, Carlos; SOARES-JUNIOR, Jose Maria; BARACAT, Edmund Chada; FILASSI, Jose Roberto
    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.
  • bookPart
    Tumor phyllodes da mama: diagnóstico e tratamento
    (2016) RUIZ, Carlos Alberto; TORRES, Ana Paula; MAESAKA, Jonathan; FILASSI, José Roberto
  • bookPart
    Seguimento
    (2019) FORMIGONI, Maria Carolina; ZULIANI, Lucia Maria Martins; MAESAKA, Jonathan Yugo; FILASSI, José Roberto
  • bookPart
    Apresentação do volume
    (2019) FILASSI, José Roberto; MAESAKA, Jonathan Yugo; BARACAT, Edmund Chada
  • bookPart
    Nódulo mamário
    (2013) RUIZ, Carlos Alberto; MAESAKA, Jonathan Yugo; FILASSI, José Roberto; BARACAT, Edmund Chada
  • article 32 Citação(ões) na Scopus
    AXILLARY LYMPH NODE SONOGRAPHIC FEATURES AND BREAST TUMOR CHARACTERISTICS AS PREDICTORS OF MALIGNANCY: A NOMOGRAM TO PREDICT RISK
    (2017) TEIXEIRA, Patricia Akissue de Camargo; CHALA, Luciano F.; SHIMIZU, Carlos; FILASSI, Jose R.; MAESAKA, Jonathan Y.; BARROS, Nestor de
    The purpose of this study was to build a mathematical model to predict the probability of axillary lymph node metastasis based on the ultrasonographic features of axillary lymph nodes and the tumor characteristics. We included 74 patients (75 axillae) with invasive breast cancer who underwent axillary ultrasonography ipsilateral to the tumor and fine-needle aspiration of one selected lymph node. Lymph node pathology results from sentinel lymph node biopsy or surgical dissection were correlated with lymph node ultrasonographic data and with the cytologic findings of fine-needle aspiration. Our mathematical model of prediction risk of lymph node metastasis included only pre-surgical data from logistic regression analysis: lymph node cortical thickness (p = 0.005), presurgical tumor size (p = 0.030), menopausal status (p = 0.017), histologic type (p = 0.034) and tumor location (p = 0.011). The area under the receiver operating characteristic curve of the model was 0.848, reflecting an excellent discrimination of the model. This nomogram may assist in the choice of the optimal axillary approach. (E-mail: pakissue@gmail.com) (C) 2017 World Federation for Ultrasound in Medicine & Biology.
  • bookPart
    Doenças Benignas da Mama
    (2016) RUIZ, Carlos Alberto; PIATO, José Roberto Morales; MAESAKA, Jonathan Yugo; FREITAS, Gabriela Boufelli de; RICCI, Marcos Desidério; FILASSI, José Roberto