CARLOS SHIMIZU

Índice h a partir de 2011
5
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Unidades Organizacionais
Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/24 - Laboratório de Oncologia Experimental, Hospital das Clínicas, Faculdade de Medicina

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Agora exibindo 1 - 10 de 24
  • bookPart
    Lesões benignas da mama
    (2017) SHIMIZU, Carlos; BRESCIANI, Bárbara Helou; ICHIHARA, Tomie H.; MORAES, Paula de Camargo
  • conferenceObject
    Evaluation of an AI system for breast cancer screening in mammograms of young women.
    (2020) PETRINI, Daniel Gustavo Pellacani; VALENTE, Gabriel Vansuita; SHIMIZU, Carlos; ROELA, Rosimeire Aparecida; ARAUJO, Gabriel Miranda de; TUCUNDUVA, Tatiana Cardoso de Mello; FOLGUEIRA, Maria A. A. Koike; KIM, Hae Yong
  • 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
    Procedimentos guiados por ressonância magnética
    (2022) HSIEH, Su Jin Kim; SHIMIZU, Carlos
  • conferenceObject
    Brazilian randomized study: Impact of preoperative magnetic resonance in the evaluation for breast cancer conservative surgery (BREAST-MRI Trial)
    (2019) MOTA, B. S.; REIS, Y. N.; DORIA, M. T.; RICCI, M. D.; SHIMIZU, C.; FERREIRA, V.; TUCUNDUVA, T.; BARROS, N. de; BARACAT, E. C.; FILASSI, J. R.
  • 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
  • article 6 Citação(ões) na Scopus
    Pre-treatment MRI tumor features and post-treatment mammographic findings: may they contribute to refining the prediction of pathologic complete response in post-neoadjuvant breast cancer patients with radiologic complete response on MRI?
    (2022) THOMPSON, Bruna M.; CHALA, Luciano F.; SHIMIZU, Carlos; MANO, Max S.; FILASSI, Jose R.; GEYER, Felipe C.; TORRES, Ulysses S.; MELLO, Giselle Guedes Netto de; LEITE, Claudia da Costa
    Purpose Radiologic complete response (rCR) in breast cancer patients after neoadjuvant chemotherapy (NAC) does not necessarily correlate with pathologic complete response (pCR), a marker traditionally associated with better outcomes. We sought to verify if data extracted from two important steps of the imaging workup (tumor features at pre-treatment MRI and post-treatment mammographic findings) might assist in refining the prediction of pCR in post-NAC patients showing rCR. Methods A total of 115 post-NAC women with rCR on MRI (2010-2016) were retrospectively assessed. Pre-treatment MRI (lesion morphology, size, and distribution) and post-treatment mammographic findings (calcification, asymmetry, mass, architectural distortion) were assessed, as well as clinical and molecular variables. Bivariate and multivariate analyses evaluated correlation between such variables and pCR. Post-NAC mammographic findings and their correlation with ductal in situ carcinoma (DCIS) were evaluated using Pearson's correlation. Results Tumor distribution at pre-treatment MRI was the only significant predictive imaging feature on multivariate analysis, with multicentric lesions having lower odds of pCR (p = 0.035). There was no significant association between tumor size and morphology with pCR. Mammographic residual calcifications were associated with DCIS (p = 0.009). The receptor subtype remained as a significant predictor, with HR-HER2 + and triple-negative status demonstrating higher odds of pCR on multivariate analyses. Conclusions Multicentric lesions on pre-NAC MRI were associated with a lower chance of pCR in post-NAC rCR patients. The receptor subtype remained a reliable predictor of pCR. Residual mammographic calcifications correlated with higher odds of malignancy, making the correlation between mammography and MRI essential for surgical planning.
  • 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.
  • conferenceObject
    End-to-end training of convolutional network for breast cancer detection in two-view mammography.
    (2021) PETRINI, Daniel G.; SHIMIZU, Carlos; VALENTE, Gabriel V.; FOLGUEIRA, Guilherme; NOVAES, Guilherme A.; KATAYAMA, Maria L.; SERIO, Pedro; ROELA, Rosimeire A.; TUCUNDUVA, Tatiana C.; FOLGUEIRA, Maria Aparecida A.; KIM, Hae Y.
  • bookPart
    Atribuições dos residentes/imaginologistas mamários
    (2022) HSIEH, Su Jin Kim; SHIMIZU, Carlos