Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Tatiana Cardoso de Mello Tucunduva"'
Autor:
Eloy de Ávila Fernandes, Eduardo Henrique Sena Santos, Tatiana Cardoso de Mello Tucunduva, Antonio J.L. Ferrari, Artur da Rocha Correa Fernandes
Publikováno v:
Revista Brasileira de Reumatologia, Vol 55, Iss 3, Pp 313-316 (2015)
O xantoma no tendão calcâneo é uma doença rara e tem uma alta associação com hiperlipidemia primária. O diagnóstico precoce é fundamental para o início do tratamento e para alterar o curso da doença. Os exames de imagem podem auxiliar ness
Externí odkaz:
https://doaj.org/article/7778a225955943528a4ca2e309143036
Autor:
Bruna Salani Mota, Yedda Nunes Reis, Nestor de Barros, Natália Pereira Cardoso, Rosa Maria Salani Mota, Carlos Shimizu, Tatiana Cardoso de Mello Tucunduva, Vera Christina Camargo de Siqueira Ferreira, Rodrigo Goncalves, Maíra Teixeira Doria, Marcos Desidério Ricci, Angela Francisca Trinconi, Cristina Pires Camargo, Rachel Riera, Edmund Chada Baracat, José Maria Soares Jr, José Roberto Filassi
Publikováno v:
Breast Cancer Research and Treatment. 198:447-461
Background Breast magnetic resonance imaging (MRI) has high sensitivity in detecting invasive neoplasms. Controversy remains about its impact on the preoperative staging of breast cancer surgery. This study evaluated survival and surgical outcomes of
Autor:
Giselle Guedes Netto de Mello, Henrique Manoel Lederman, Tatiana Cardoso de Mello Tucunduva, Ulysses dos Santos Torres, Andréa Alves Maciel Di Ninno, Carlos Shimizu, Fatima Regina Silva Reis, Mariana Pinheiro Ferri Ananias
Publikováno v:
Clinical Imaging. 74:76-83
Mammography remains the standard imaging modality for the identification and characterization of breast calcifications. However, its low specificity results in high biopsy rates in cases of suspicious calcifications.To evaluate the diagnostic perform
Autor:
Carlos Shimizu, Nestor de Barros, Luciano Fernandes Chala, Giselle Guedes Netto de Mello, Marcela Pacheco Viana, Tatiana Cardoso de Mello Tucunduva, Vera Lucia Nunes Aguillar, Bárbara Helou Bresciani, Ulysses dos Santos Torres
Publikováno v:
Clinical Imaging. 68:45-56
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, cor
Autor:
Luciano Fernandes Chala, Tatiana Cardoso de Mello Tucunduva, Alexandre Mendonça Munhoz, Ary de Azevedo Marques Neto, Giselle Guedes de Melo
Publikováno v:
Aesthetic plastic surgery. 45(6)
SmoothSilk implants (SSI) are the first generation of implants to incorporate a radio-frequency identification device (RFID-M), a non-invasive traceability system. Although the RFID-M is considered compatible with magnetic resonance imaging (MRI), th
Autor:
Ulysses dos Santos Torres, Monica Maria Agata Stiepcich, André F. Reis, Lucy Tiemi Sato, Giselle Guedes Netto de Mello, Henrique Manoel Lederman, Tatiana Cardoso de Mello Tucunduva
Publikováno v:
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes. 72(4)
Purpose: Sclerosing lymphocytic lobulitis (SLL) is a rare benign breast condition usually associated with diabetes mellitus and whose imaging features have been assessed in few studies, limiting the adoption of diagnostic guidelines. We aimed to iden
Autor:
Hae Yong Kim, Gabriel V. Valente, Pedro Adolpho de Menezes Pacheco Serio, Maria L. Katayama, Rosimeire Aparecida Roela, Tatiana Cardoso de Mello Tucunduva, Maria Aparecida A. Folgueira, Guilherme A. Novaes, Daniel G. Petrini, Carlos Shimizu, Guilherme Folgueira
Publikováno v:
Cancer Research. 81:183-183
Background:Early computer-aided detection systems for mammography have failed to improve the performance of radiologists. With the remarkable success of deep learning, some recent studies have described computer systems with similar or even superior
Autor:
Guilherme Folgueira, Rosimeire Aparecida Roela, Hae Yong Kim, Tatiana Cardoso de Mello Tucunduva, Guilherme A. Novaes, Maria Aparecida A. Folgueira, Daniel G. Petrini, Carlos Shimizu, Maria L. Katayama, Gabriel V. Valente, Pedro Adolpho de Menezes Pacheco Serio
Publikováno v:
Cancer Research. 81:181-181
Background:Breast cancer (BC) is the second most common cancer among women. BC screening is usually based on mammography interpreted by radiologists. Recently, some researchers have used deep learning to automatically diagnose BC in mammography and s
Autor:
Marcela Pacheco Viana, Vera Lucia Nunes Aguillar, Ulysses dos Santos Torres, Giselle Guedes Netto de Mello, Filomena Marino Carvalho, Tatiana Cardoso de Mello Tucunduva, Mariana Bertassi Mazucato
Publikováno v:
The breast journal. 26(4)
Autor:
Carlos Shimizu, Gabriel V. Valente, Rossana Verónica Mendoza López, Guilherme Folgueira, Maria Aparecida Azevedo Koike Folgueira, Koichi Sameshima, Rosimeire Aparecida Roela, Daniel G. Petrini, Hae Yong Kim, Pedro Adolpho de Menezes Pacheco Serio, Guilherme Nader Marta, Maria Lucia Hirata Katayama, Tatiana Cardoso de Mello Tucunduva, Guilherme A. Novaes
Publikováno v:
Journal of Clinical Oncology. 39:e13553-e13553
e13553 Background: Mammography interpretation presents some challenges however, better technological approaches have allowed increased accuracy in cancer diagnosis and nowadays, radiologists sensitivity and specificity for mammography screening vary