NESTOR DE BARROS

(Fonte: Lattes)
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Lattes
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Departamento de Radiologia, Faculdade de Medicina - Docente
Instituto de Radiologia, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia, Hospital das Clínicas, Faculdade de Medicina

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Autor: SHIMIZU, Carlos ×

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Agora exibindo 1 - 8 de 8
  • conferenceObject
    Brazilian Randomized Study - BREAST-MRI Trial - Impact of Preoperative Magnetic Resonance in the Evaluation for Breast Cancer Conservative Surgery: Local recurrence and surgical outcomes
    (2023) MOTA, Bruna S.; REIS, Yedda N.; BARROS, Nestor; CARDOSO, Natalia; MOTA, Rosa S.; SHIMIZU, Carlos; TUCUNDUVA, Tatiana; GONCALVES, Rodrigo; DORIA, Maira T.; FERREIRA, Vera; RICCI, Marcos; TRINCONI, Angela; RIERA, Rachel; BARACAT, Edmund C.; SOARES JR., Jose Maria; FILASSI, Jose Roberto
  • conferenceObject
    Brazilian randomized study - Impact of preoperative magnetic resonance in the evaluation for breast cancer conservative surgery (BREAST-MRI trial)
    (2018) DORIA, Maira T.; MOTA, Bruna S.; REIS, Yedda N.; RICCI, Marcos D.; PIATO, Jose R. M.; FERREIRA, Vera C. C. S.; SHIMIZU, Carlos; BARROS, Nestor; FILASSI, Jose R.; BARACAT, Edmund C.
  • bookPart
    Métodos de imagem no diagnóstico das doenças mamárias
    (2017) BRESCIANI, Bárbara Helou; CASTRO, Flávio Spinola; MATSUMOTO, Renato Augusto Eidy Kiota; SHIMIZU, Carlos; BARROS, Nestor de
  • bookPart
    Mama
    (2019) HSIEH, Su Jin Kim; ENDO, Érica; ZANETTA, Vitor Chiarini; BARROS, Nestor de; SHIMIZU, Carlos; BRESCIANI, Barbara H.; CASTRO, Flavio Spinola; COSTENARO, Marco Antonio; TUCUNDUVA, Tatiana Cardoso de Mello; FERREIRA, Vera C. C. S.
  • 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.
  • article 4 Citação(ões) na Scopus
    Imaging of male breast disease: the good, the bad and the ugly - A pictorial review
    (2020) VIANAA, Marcela Pacheco; TUCUNDUVAA, Tatiana Cardoso de Mello; TORRES, Ulysses S.; AGUILLARA, Vera Lucia Nunes; BRESCIANI, Barbara Helou; SHIMIZU, Carlos; CHALA, Luciano Fernandes; BARROS, Nestor de; MELLO, Giselle Guede Netto de
    The male breast is affected by a broad spectrum of conditions, ranging from benign to malignant, many of which are similar to those occurring in its female counterpart. Despite the challenge motivated by different imaging characteristic features, correct imaging interpretation in male breast disease may aid at differentiation between benign and suspected conditions, narrow the differential diagnosis and guide subsequent management. The purpose of this review is to showcase a wide array of male breast diseases, discuss their imaging presentations and key features for diagnosis.
  • bookPart
  • article 10 Citação(ões) na Scopus
    Breast fibroadenoma in transgender woman
    (2020) FARIA, Luisa Leitao de; BRASIL, Sergio Tufik; ENDO, Erica; CHALA, Luciano; SHIMIZU, Carlos; BARROS, Nestor de