BRUNA MARIA THOMPSON JACINTO

(Fonte: Lattes)
Índice h a partir de 2011
1
Lattes
Projetos de Pesquisa
Unidades Organizacionais
LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia, Hospital das Clínicas, Faculdade de Medicina

Filtros

Limpar filtros

Configurações

Autor e Coautores FMUSP-HC Normalizados: JOSE ROBERTO FILASSI ×

Resultados de Busca

Agora exibindo 1 - 2 de 2
  • 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
    Does conservative surgery treatment for locally advanced breast cancer safe after neoadjuvant treatment?
    (2018) BOUFELLI, Gabriela; MOTA, Bruna Salani; FRANCA, Flavia Cardoso; DORIA, Maira Teixeira; MAESAKA, Jonathan Yugo; RICCI, Marcos Desiderio; PIATO, Jose Roberto Morales; ROCHA, Fernanda Barbosa Coelho; GIRIBELA, Aricia Helena Galvao; GONCALVES, Rodrigo; MASILI-OKU, Sergio; MANO, Max Senna; CHALA, Luciano Fernandes; THOMPSON, Bruna Maria; BARACAT, Edmund Chada; FILASSI, Jose Roberto