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Artigo de periodico
Look-Locker T1 relaxometry and high-resolution T2 in the evaluation of lung lesions: a single-center prospective study (2024)
Wada, Danilo Tadao ; Siyuan-Wada, Li ; Machado, Camila Vilas Boas; Lourenço, Mateus Repolês ; Nadai, Tales Rubens de ; Cipriano, Federico Enrique Garcia ; Fabro, Alexandre Todorovic ; Koenigkam-Santos, Marcel
Fonte: Radiologia Brasileira. Unidades: FMRP, FOB
Assuntos: RESSONÂNCIA MAGNÉTICA, NEOPLASIAS PULMONARES
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ABNT
WADA, Danilo Tadao et al. Look-Locker T1 relaxometry and high-resolution T2 in the evaluation of lung lesions: a single-center prospective study. Radiologia Brasileira, v. 57, 2024Tradução . . Disponível em: https://doi.org/10.1590/0100-3984.2024.0033. Acesso em: 04 dez. 2025.
APA
Wada, D. T., Siyuan-Wada, L., Machado, C. V. B., Lourenço, M. R., Nadai, T. R. de, Cipriano, F. E. G., et al. (2024). Look-Locker T1 relaxometry and high-resolution T2 in the evaluation of lung lesions: a single-center prospective study. Radiologia Brasileira, 57. doi:10.1590/0100-3984.2024.0033
NLM
Wada DT, Siyuan-Wada L, Machado CVB, Lourenço MR, Nadai TR de, Cipriano FEG, Fabro AT, Koenigkam-Santos M. Look-Locker T1 relaxometry and high-resolution T2 in the evaluation of lung lesions: a single-center prospective study [Internet]. Radiologia Brasileira. 2024 ; 57[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/0100-3984.2024.0033
Vancouver
Wada DT, Siyuan-Wada L, Machado CVB, Lourenço MR, Nadai TR de, Cipriano FEG, Fabro AT, Koenigkam-Santos M. Look-Locker T1 relaxometry and high-resolution T2 in the evaluation of lung lesions: a single-center prospective study [Internet]. Radiologia Brasileira. 2024 ; 57[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/0100-3984.2024.0033
Artigo de periodico
Clinical outcome of Brazilian patients with non-small cell lung cancer in early stage harboring rare mutations in epidermal growth factor receptor (2022)
Machado-Rugolo, Juliana ; Baldavira, Camila Machado ; Prieto, Tabatha Gutierrez ; Olivieri, E. H. R.; Fabro, Alexandre Todorovic ; Rainho, C. A.; Castelli, E. C.; Ribolla, P. E. M.; Ab'Saber, A. M.; Takagaki, Teresa Yae ; Nagai, M. A.; Capelozzi, Vera Luiza
Fonte: Brazilian Journal of Medical and Biological Research. Unidades: FMRP, FM
Assuntos: CARCINOMA, NEOPLASIAS PULMONARES, FARMACOTERAPIA, MUTAÇÃO GENÉTICA, PROTEÍNAS QUINASES
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ABNT
MACHADO-RUGOLO, Juliana et al. Clinical outcome of Brazilian patients with non-small cell lung cancer in early stage harboring rare mutations in epidermal growth factor receptor. Brazilian Journal of Medical and Biological Research, v. 55, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1590/1414-431X2022e12409. Acesso em: 04 dez. 2025.
APA
Machado-Rugolo, J., Baldavira, C. M., Prieto, T. G., Olivieri, E. H. R., Fabro, A. T., Rainho, C. A., et al. (2022). Clinical outcome of Brazilian patients with non-small cell lung cancer in early stage harboring rare mutations in epidermal growth factor receptor. Brazilian Journal of Medical and Biological Research, 55, 1-10. doi:10.1590/1414-431X2022e12409
NLM
Machado-Rugolo J, Baldavira CM, Prieto TG, Olivieri EHR, Fabro AT, Rainho CA, Castelli EC, Ribolla PEM, Ab'Saber AM, Takagaki TY, Nagai MA, Capelozzi VL. Clinical outcome of Brazilian patients with non-small cell lung cancer in early stage harboring rare mutations in epidermal growth factor receptor [Internet]. Brazilian Journal of Medical and Biological Research. 2022 ; 55 1-10.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/1414-431X2022e12409
Vancouver
Machado-Rugolo J, Baldavira CM, Prieto TG, Olivieri EHR, Fabro AT, Rainho CA, Castelli EC, Ribolla PEM, Ab'Saber AM, Takagaki TY, Nagai MA, Capelozzi VL. Clinical outcome of Brazilian patients with non-small cell lung cancer in early stage harboring rare mutations in epidermal growth factor receptor [Internet]. Brazilian Journal of Medical and Biological Research. 2022 ; 55 1-10.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/1414-431X2022e12409
Artigo de periodico
Relevance of PD-L1 non-coding polymorphisms on the prognosis of a genetically admixed NSCLC cohort (2021)
Machado-Rugolo, Juliana; Prieto, Tabatha Gutierrez ; Fabro, Alexandre Todorovic ; Cuentas, Edwin Roger Parra; Sá, Vanessa Karen de ; Baldavira, Camila Machado ; Rainho, Cláudia Aparecida; Castelli, Erick da Cruz; Farhat, Cecilia; Takagaki, Teresa Yae; Nagai, Maria Aparecida ; Capelozzi, Vera Luiza
Fonte: Pharmacogenomics and Personalized Medicine. Unidades: FMRP, FM
Assuntos: SEQUENCIAMENTO GENÉTICO, NEOPLASIAS PULMONARES, POLIMORFISMO
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ABNT
MACHADO-RUGOLO, Juliana et al. Relevance of PD-L1 non-coding polymorphisms on the prognosis of a genetically admixed NSCLC cohort. Pharmacogenomics and Personalized Medicine, v. 14, p. 239-252, 2021Tradução . . Disponível em: https://doi.org/10.2147/PGPM.S286717. Acesso em: 04 dez. 2025.
APA
Machado-Rugolo, J., Prieto, T. G., Fabro, A. T., Cuentas, E. R. P., Sá, V. K. de, Baldavira, C. M., et al. (2021). Relevance of PD-L1 non-coding polymorphisms on the prognosis of a genetically admixed NSCLC cohort. Pharmacogenomics and Personalized Medicine, 14, 239-252. doi:10.2147/PGPM.S286717
NLM
Machado-Rugolo J, Prieto TG, Fabro AT, Cuentas ERP, Sá VK de, Baldavira CM, Rainho CA, Castelli E da C, Farhat C, Takagaki TY, Nagai MA, Capelozzi VL. Relevance of PD-L1 non-coding polymorphisms on the prognosis of a genetically admixed NSCLC cohort [Internet]. Pharmacogenomics and Personalized Medicine. 2021 ; 14 239-252.[citado 2025 dez. 04 ] Available from: https://doi.org/10.2147/PGPM.S286717
Vancouver
Machado-Rugolo J, Prieto TG, Fabro AT, Cuentas ERP, Sá VK de, Baldavira CM, Rainho CA, Castelli E da C, Farhat C, Takagaki TY, Nagai MA, Capelozzi VL. Relevance of PD-L1 non-coding polymorphisms on the prognosis of a genetically admixed NSCLC cohort [Internet]. Pharmacogenomics and Personalized Medicine. 2021 ; 14 239-252.[citado 2025 dez. 04 ] Available from: https://doi.org/10.2147/PGPM.S286717
Artigo de periodico
Radiomic analysis of lung cancer for the assessment of patient prognosis and intratumor heterogeneity (2021)
Ferreira Junior, José Raniery ; Santos, Marcel Koenigkam ; Machado, Camila Vilas Boas; Faleiros, Matheus Calil; Correia, Natália Santana Chiari; Cipriano, Federico Enrique Garcia; Fabro, Alexandre Todorovic ; Azevedo-Marques, Paulo Mazzoncini de
Fonte: Radiologia Brasileira. Unidade: FMRP
Assuntos: NEOPLASIAS PULMONARES, PROGNÓSTICO, IMAGEM DIGITAL, TOMOGRAFIA COMPUTADORIZADA POR RAIOS X
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ABNT
FERREIRA JUNIOR, José Raniery et al. Radiomic analysis of lung cancer for the assessment of patient prognosis and intratumor heterogeneity. Radiologia Brasileira, v. 54, n. 2, p. 87-93, 2021Tradução . . Disponível em: https://doi.org/10.1590/0100-3984.2019.0135. Acesso em: 04 dez. 2025.
APA
Ferreira Junior, J. R., Santos, M. K., Machado, C. V. B., Faleiros, M. C., Correia, N. S. C., Cipriano, F. E. G., et al. (2021). Radiomic analysis of lung cancer for the assessment of patient prognosis and intratumor heterogeneity. Radiologia Brasileira, 54( 2), 87-93. doi:10.1590/0100-3984.2019.0135
NLM
Ferreira Junior JR, Santos MK, Machado CVB, Faleiros MC, Correia NSC, Cipriano FEG, Fabro AT, Azevedo-Marques PM de. Radiomic analysis of lung cancer for the assessment of patient prognosis and intratumor heterogeneity [Internet]. Radiologia Brasileira. 2021 ; 54( 2): 87-93.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/0100-3984.2019.0135
Vancouver
Ferreira Junior JR, Santos MK, Machado CVB, Faleiros MC, Correia NSC, Cipriano FEG, Fabro AT, Azevedo-Marques PM de. Radiomic analysis of lung cancer for the assessment of patient prognosis and intratumor heterogeneity [Internet]. Radiologia Brasileira. 2021 ; 54( 2): 87-93.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/0100-3984.2019.0135
Trabalho de evento-resumo periodico
Extracting morphological features to differentiate histological subtypes of lung adenocarcinoma: an attempt to improve diagnostic accuracy by using a deep learning algorithm (2021)
Lami, Kris; Attanoos, Richard; Beasley, Mary Beth; Berezowska, Sabina; Brcic, Luka; Cavazza, Alberto; English, John; Fabro, Alexandre Todorovic ; Ishida, Kaori; Kashima, Yukio; Larsen, Brandon
Fonte: Modern Pathology. Nome do evento: Annual Meeting USCAP. Unidade: FMRP
Assuntos: NEOPLASIAS PULMONARES, ADENOCARCINOMA, PULMÃO, ALGORITMOS, NEOPLASIAS PULMONARES
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ABNT
LAMI, Kris et al. Extracting morphological features to differentiate histological subtypes of lung adenocarcinoma: an attempt to improve diagnostic accuracy by using a deep learning algorithm. Modern Pathology. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1038/s41379-021-00772-3. Acesso em: 04 dez. 2025. , 2021
APA
Lami, K., Attanoos, R., Beasley, M. B., Berezowska, S., Brcic, L., Cavazza, A., et al. (2021). Extracting morphological features to differentiate histological subtypes of lung adenocarcinoma: an attempt to improve diagnostic accuracy by using a deep learning algorithm. Modern Pathology. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1038/s41379-021-00772-3
NLM
Lami K, Attanoos R, Beasley MB, Berezowska S, Brcic L, Cavazza A, English J, Fabro AT, Ishida K, Kashima Y, Larsen B. Extracting morphological features to differentiate histological subtypes of lung adenocarcinoma: an attempt to improve diagnostic accuracy by using a deep learning algorithm [Internet]. Modern Pathology. 2021 ; 34 1116-1117.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1038/s41379-021-00772-3
Vancouver
Lami K, Attanoos R, Beasley MB, Berezowska S, Brcic L, Cavazza A, English J, Fabro AT, Ishida K, Kashima Y, Larsen B. Extracting morphological features to differentiate histological subtypes of lung adenocarcinoma: an attempt to improve diagnostic accuracy by using a deep learning algorithm [Internet]. Modern Pathology. 2021 ; 34 1116-1117.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1038/s41379-021-00772-3
Artigo de periodico
Quantifying intratumor heterogeneity of lung neoplasms with radiomics (2021)
Ferreira Junior, José Raniery; Koenigkam-Santos, Marcel ; Graves, Catharine de Vita ; Correia, Natália Santana Chiari ; Cipriano, Federico Enrique Garcia; Fabro, Alexandre Todorovic ; Azevedo-Marques, Paulo Mazzoncini de
Fonte: Clinical Imaging. Unidades: FMRP, EP
Assuntos: NEOPLASIAS PULMONARES, HETEROGENEIDADE, RADIOMETRIA
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ABNT
FERREIRA JUNIOR, José Raniery et al. Quantifying intratumor heterogeneity of lung neoplasms with radiomics. Clinical Imaging, v. 74, p. 27-30, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.clinimag.2020.12.017. Acesso em: 04 dez. 2025.
APA
Ferreira Junior, J. R., Koenigkam-Santos, M., Graves, C. de V., Correia, N. S. C., Cipriano, F. E. G., Fabro, A. T., & Azevedo-Marques, P. M. de. (2021). Quantifying intratumor heterogeneity of lung neoplasms with radiomics. Clinical Imaging, 74, 27-30. doi:10.1016/j.clinimag.2020.12.017
NLM
Ferreira Junior JR, Koenigkam-Santos M, Graves C de V, Correia NSC, Cipriano FEG, Fabro AT, Azevedo-Marques PM de. Quantifying intratumor heterogeneity of lung neoplasms with radiomics [Internet]. Clinical Imaging. 2021 ; 74 27-30.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1016/j.clinimag.2020.12.017
Vancouver
Ferreira Junior JR, Koenigkam-Santos M, Graves C de V, Correia NSC, Cipriano FEG, Fabro AT, Azevedo-Marques PM de. Quantifying intratumor heterogeneity of lung neoplasms with radiomics [Internet]. Clinical Imaging. 2021 ; 74 27-30.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1016/j.clinimag.2020.12.017
Trabalho de evento-resumo periodico
Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis (2020)
Lima, Lucas Lins de; Ferreiro Junior, J. R.; Fabro, Alexandre Todorovic ; Cipriano, Federico; Faccio, A.; Koenigkam-Santos, Marcel ; Azevedo-Marques, Paulo Mazzoncini de
Fonte: International Journal of Computer Assisted Radiology and Surgery. Nome do evento: International Congress and Exhibition on Computer Assisted Radiology and Surgery - CARS. Unidade: FMRP
Assuntos: NEOPLASIAS PULMONARES, METÁSTASE ANIMAL, REDES NEURAIS, DIAGNÓSTICO POR COMPUTADOR, APRENDIZADO COMPUTACIONAL
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ABNT
LIMA, Lucas Lins de et al. Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11548-020-02171-6. Acesso em: 04 dez. 2025. , 2020
APA
Lima, L. L. de, Ferreiro Junior, J. R., Fabro, A. T., Cipriano, F., Faccio, A., Koenigkam-Santos, M., & Azevedo-Marques, P. M. de. (2020). Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-020-02171-6
NLM
Lima LL de, Ferreiro Junior JR, Fabro AT, Cipriano F, Faccio A, Koenigkam-Santos M, Azevedo-Marques PM de. Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 S116-S117.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-020-02171-6
Vancouver
Lima LL de, Ferreiro Junior JR, Fabro AT, Cipriano F, Faccio A, Koenigkam-Santos M, Azevedo-Marques PM de. Towards convolutional neural network on primary lung tumors to predict histophatological type, distant and lymph node metastasis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 S116-S117.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-020-02171-6
Artigo de periodico
CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms (2020)
Ferreira Junior, José Raniery; Santos, Marcel Koenigkam ; Tenório, Ariane Priscilla Magalhães; Faleiros, Matheus Calil; Cipriano, Federico Enrique Garcia; Fabro, Alexandre Todorovic ; Näppi, Janne; Yoshida, Hiroyuki; Azevedo-Marques, Paulo Mazzoncini de
Fonte: International Journal of Computer Assisted Radiology and Surgery. Unidade: FMRP
Assuntos: RADIOMETRIA, NEOPLASIAS PULMONARES, BIOMARCADORES
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ABNT
FERREIRA JUNIOR, José Raniery et al. CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms. International Journal of Computer Assisted Radiology and Surgery, v. 15, p. 163-172, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11548-019-02093-y. Acesso em: 04 dez. 2025.
APA
Ferreira Junior, J. R., Santos, M. K., Tenório, A. P. M., Faleiros, M. C., Cipriano, F. E. G., Fabro, A. T., et al. (2020). CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms. International Journal of Computer Assisted Radiology and Surgery, 15, 163-172. doi:10.1007/s11548-019-02093-y
NLM
Ferreira Junior JR, Santos MK, Tenório APM, Faleiros MC, Cipriano FEG, Fabro AT, Näppi J, Yoshida H, Azevedo-Marques PM de. CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 163-172.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-019-02093-y
Vancouver
Ferreira Junior JR, Santos MK, Tenório APM, Faleiros MC, Cipriano FEG, Fabro AT, Näppi J, Yoshida H, Azevedo-Marques PM de. CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 163-172.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-019-02093-y
Artigo de periodico
Variants in epithelial-mesenchymal transition and immune checkpoint genes are associated with immune cell profiles and predict survival in non–small cell lung cancer (2020)
Parra, Edwin Roger; Jiang, Mei; Machado-rugolo, Juliana; Yaegashi, Lygia Bertalha; Prieto, Tabatha; Farhat, Cecília; Sá, Vanessa Karen de; Nagai, Maria Aparecida ; Lima, Vladmir Cláudio Cordeiro de; Takagaki, Teresa Yae; Terra, Ricardo Mingarini ; Fabro, Alexandre Todorovic ; Capelozzi, Vera Luiza
Fonte: Archives of Pathology & Laboratory Medicine. Unidades: FM, FMRP, FSP
Assuntos: ANTÍGENOS, CARCINOMA, PULMÃO, NEOPLASIAS PULMONARES, LINFÓCITOS, IMUNOLOGIA, TAXA DE SOBREVIVÊNCIA
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ABNT
PARRA, Edwin Roger et al. Variants in epithelial-mesenchymal transition and immune checkpoint genes are associated with immune cell profiles and predict survival in non–small cell lung cancer. Archives of Pathology & Laboratory Medicine, v. 144, n. 10, p. 1234-1244, 2020Tradução . . Disponível em: https://doi.org/10.5858/arpa.2019-0419-OA. Acesso em: 04 dez. 2025.
APA
Parra, E. R., Jiang, M., Machado-rugolo, J., Yaegashi, L. B., Prieto, T., Farhat, C., et al. (2020). Variants in epithelial-mesenchymal transition and immune checkpoint genes are associated with immune cell profiles and predict survival in non–small cell lung cancer. Archives of Pathology & Laboratory Medicine, 144( 10), 1234-1244. doi:10.5858/arpa.2019-0419-OA
NLM
Parra ER, Jiang M, Machado-rugolo J, Yaegashi LB, Prieto T, Farhat C, Sá VK de, Nagai MA, Lima VCC de, Takagaki TY, Terra RM, Fabro AT, Capelozzi VL. Variants in epithelial-mesenchymal transition and immune checkpoint genes are associated with immune cell profiles and predict survival in non–small cell lung cancer [Internet]. Archives of Pathology & Laboratory Medicine. 2020 ; 144( 10): 1234-1244.[citado 2025 dez. 04 ] Available from: https://doi.org/10.5858/arpa.2019-0419-OA
Vancouver
Parra ER, Jiang M, Machado-rugolo J, Yaegashi LB, Prieto T, Farhat C, Sá VK de, Nagai MA, Lima VCC de, Takagaki TY, Terra RM, Fabro AT, Capelozzi VL. Variants in epithelial-mesenchymal transition and immune checkpoint genes are associated with immune cell profiles and predict survival in non–small cell lung cancer [Internet]. Archives of Pathology & Laboratory Medicine. 2020 ; 144( 10): 1234-1244.[citado 2025 dez. 04 ] Available from: https://doi.org/10.5858/arpa.2019-0419-OA
Artigo de periodico
Usefulness of complementary next-generation sequencing and quantitative immunohistochemistry panels for predicting brain metastases and selecting treatment outcomes of non-small cell lung cancer (2019)
Machado-rugolo, Juliana; Fabro, Alexandre Todorovic ; Ascheri, Daniel; Farhat, Cecilia; Ab'saber, Alexandre Muxfeldt; Sa, Vanessa Karen de; Nagai, Maria Aparecida; Takagaki, Teresa; Terra, Ricardo; Parra, Edwin Roger; Capelozzi, Vera Luiza
Fonte: Human pathology. Unidades: FM, FMRP
Assuntos: NEOPLASIAS CEREBRAIS, METÁSTASE NEOPLÁSICA, NEOPLASIAS PULMONARES, IMUNOHISTOQUÍMICA, SEQUENCIAMENTO GENÉTICO, ONCOGENES, GENES SUPRESSORES
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ABNT
MACHADO-RUGOLO, Juliana et al. Usefulness of complementary next-generation sequencing and quantitative immunohistochemistry panels for predicting brain metastases and selecting treatment outcomes of non-small cell lung cancer. Human pathology, v. 83, p. 177-191, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.humpath.2018.08.026. Acesso em: 04 dez. 2025.
APA
Machado-rugolo, J., Fabro, A. T., Ascheri, D., Farhat, C., Ab'saber, A. M., Sa, V. K. de, et al. (2019). Usefulness of complementary next-generation sequencing and quantitative immunohistochemistry panels for predicting brain metastases and selecting treatment outcomes of non-small cell lung cancer. Human pathology, 83, 177-191. doi:10.1016/j.humpath.2018.08.026
NLM
Machado-rugolo J, Fabro AT, Ascheri D, Farhat C, Ab'saber AM, Sa VK de, Nagai MA, Takagaki T, Terra R, Parra ER, Capelozzi VL. Usefulness of complementary next-generation sequencing and quantitative immunohistochemistry panels for predicting brain metastases and selecting treatment outcomes of non-small cell lung cancer [Internet]. Human pathology. 2019 ; 83 177-191.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1016/j.humpath.2018.08.026
Vancouver
Machado-rugolo J, Fabro AT, Ascheri D, Farhat C, Ab'saber AM, Sa VK de, Nagai MA, Takagaki T, Terra R, Parra ER, Capelozzi VL. Usefulness of complementary next-generation sequencing and quantitative immunohistochemistry panels for predicting brain metastases and selecting treatment outcomes of non-small cell lung cancer [Internet]. Human pathology. 2019 ; 83 177-191.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1016/j.humpath.2018.08.026
Trabalho de evento-resumo periodico
Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging (2019)
Francisco, Victor; Wada, Danilo Tadao; Ferreira Junior, José Raniery; Fabro, Alexandre Todorovic ; Cipriano, Federico Enrique Garcia; Ferreira, Luciana Pimentel; Quatrina, Sathya Geraldo; Santos, Marcel Koenigkam ; Azevedo-Marques, Paulo Mazzoncini de
Fonte: International Journal of Computer Assisted Radiology and Surgery. Nome do evento: Computer Assisted Radiology and Surgery (CARS) - International Congress and Exhibition. Unidades: FMRP, Interunidades em Bioengenharia
Assuntos: APRENDIZADO COMPUTACIONAL, NEOPLASIAS PULMONARES, RESSONÂNCIA MAGNÉTICA, DIAGNÓSTICO POR COMPUTADOR
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ABNT
FRANCISCO, Victor et al. Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11548-019-01969-3. Acesso em: 04 dez. 2025. , 2019
APA
Francisco, V., Wada, D. T., Ferreira Junior, J. R., Fabro, A. T., Cipriano, F. E. G., Ferreira, L. P., et al. (2019). Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-019-01969-3
NLM
Francisco V, Wada DT, Ferreira Junior JR, Fabro AT, Cipriano FEG, Ferreira LP, Quatrina SG, Santos MK, Azevedo-Marques PM de. Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S79-S80.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-019-01969-3
Vancouver
Francisco V, Wada DT, Ferreira Junior JR, Fabro AT, Cipriano FEG, Ferreira LP, Quatrina SG, Santos MK, Azevedo-Marques PM de. Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S79-S80.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-019-01969-3
Trabalho de evento-resumo periodico
A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors (2019)
Ferreira Junior, José Raniery; Santos, Marcel Koenigkam ; Kikuchi, Y.; Faleiros, Matheus Calil; Cipriano, Federico Enrique Garcia; Fabro, Alexandre Todorovic ; Yoshida, H.; Azevedo-Marques, Paulo Mazzoncini de
Fonte: International Journal of Computer Assisted Radiology and Surgery. Nome do evento: Computer Assisted Radiology and Surgery (CARS) - International Congress and Exhibition. Unidade: FMRP
Assuntos: RADIOMETRIA, NEOPLASIAS PULMONARES, CAVITAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA JUNIOR, José Raniery et al. A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11548-019-01969-3. Acesso em: 04 dez. 2025. , 2019
APA
Ferreira Junior, J. R., Santos, M. K., Kikuchi, Y., Faleiros, M. C., Cipriano, F. E. G., Fabro, A. T., et al. (2019). A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-019-01969-3
NLM
Ferreira Junior JR, Santos MK, Kikuchi Y, Faleiros MC, Cipriano FEG, Fabro AT, Yoshida H, Azevedo-Marques PM de. A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S78.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-019-01969-3
Vancouver
Ferreira Junior JR, Santos MK, Kikuchi Y, Faleiros MC, Cipriano FEG, Fabro AT, Yoshida H, Azevedo-Marques PM de. A radiomics approach for differentiation of pseudocavitation from cavitation on lung cancer tumors [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S78.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-019-01969-3
Trabalho de evento-resumo periodico
Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis (2019)
Ferreira Junior, José Raniery; Santos, Marcel Koenigkam ; Hironaka, T.; Cipriano, Federico Enrique Garcia; Fabro, Alexandre Todorovic ; Yoshida, H.; Azevedo-Marques, Paulo Mazzoncini de
Fonte: International Journal of Computer Assisted Radiology and Surgery. Nome do evento: Computer Assisted Radiology and Surgery (CARS) - International Congress and Exhibition. Unidade: FMRP
Assuntos: RADIOMETRIA, NEOPLASIAS PULMONARES, CAVITAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA JUNIOR, José Raniery et al. Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11548-019-01969-3. Acesso em: 04 dez. 2025. , 2019
APA
Ferreira Junior, J. R., Santos, M. K., Hironaka, T., Cipriano, F. E. G., Fabro, A. T., Yoshida, H., & Azevedo-Marques, P. M. de. (2019). Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-019-01969-3
NLM
Ferreira Junior JR, Santos MK, Hironaka T, Cipriano FEG, Fabro AT, Yoshida H, Azevedo-Marques PM de. Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S78-S79.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-019-01969-3
Vancouver
Ferreira Junior JR, Santos MK, Hironaka T, Cipriano FEG, Fabro AT, Yoshida H, Azevedo-Marques PM de. Deep learning-based radiomics of primary lung tumors in CT images for prediction of distant metastasis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S78-S79.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s11548-019-01969-3
Artigo de periodico
Human pulmonary dirofilariasis with secondary myocarditis (2019)
Doltrário, Andréa Beltrami ; Valim, Natali Canelli; Dellaspora, Ellen Aparecida Pereira Barboza; Gaspar, Gilberto Gambero ; Puga, Fernanda Guioti; Fabro, Alexandre Todorovic ; Brunaldi, Mariângela Ottoboni ; Martinez, Roberto
Fonte: Revista da Sociedade Brasileira de Medicina Tropical. Unidade: FMRP
Assuntos: NEOPLASIAS PULMONARES, DIROFILARIOSE ANIMAL, ZOONOSES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DOLTRÁRIO, Andréa Beltrami et al. Human pulmonary dirofilariasis with secondary myocarditis. Revista da Sociedade Brasileira de Medicina Tropical, v. 52, 2019Tradução . . Disponível em: https://doi.org/10.1590/0037-8682-0461-2018. Acesso em: 04 dez. 2025.
APA
Doltrário, A. B., Valim, N. C., Dellaspora, E. A. P. B., Gaspar, G. G., Puga, F. G., Fabro, A. T., et al. (2019). Human pulmonary dirofilariasis with secondary myocarditis. Revista da Sociedade Brasileira de Medicina Tropical, 52. doi:10.1590/0037-8682-0461-2018
NLM
Doltrário AB, Valim NC, Dellaspora EAPB, Gaspar GG, Puga FG, Fabro AT, Brunaldi MO, Martinez R. Human pulmonary dirofilariasis with secondary myocarditis [Internet]. Revista da Sociedade Brasileira de Medicina Tropical. 2019 ; 52[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/0037-8682-0461-2018
Vancouver
Doltrário AB, Valim NC, Dellaspora EAPB, Gaspar GG, Puga FG, Fabro AT, Brunaldi MO, Martinez R. Human pulmonary dirofilariasis with secondary myocarditis [Internet]. Revista da Sociedade Brasileira de Medicina Tropical. 2019 ; 52[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/0037-8682-0461-2018
Artigo de periodico
Radiomics-based features for pattern recognition of lung cancer histopathology and metastases (2018)
Ferreira Junior, José Raniery; Santos, Marcel Koenigkam; Cipriano, Federico Enrique Garcia; Fabro, Alexandre Todorovic; Azevedo-Marques, Paulo Mazzoncini de
Fonte: Computer Methods and Programs in Biomedicine. Unidade: FMRP
Assuntos: NEOPLASIAS PULMONARES, METÁSTASE NEOPLÁSICA, RADIOTERAPIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA JUNIOR, José Raniery et al. Radiomics-based features for pattern recognition of lung cancer histopathology and metastases. Computer Methods and Programs in Biomedicine, v. 159, p. 23-30, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2018.02.015. Acesso em: 04 dez. 2025.
APA
Ferreira Junior, J. R., Santos, M. K., Cipriano, F. E. G., Fabro, A. T., & Azevedo-Marques, P. M. de. (2018). Radiomics-based features for pattern recognition of lung cancer histopathology and metastases. Computer Methods and Programs in Biomedicine, 159, 23-30. doi:10.1016/j.cmpb.2018.02.015
NLM
Ferreira Junior JR, Santos MK, Cipriano FEG, Fabro AT, Azevedo-Marques PM de. Radiomics-based features for pattern recognition of lung cancer histopathology and metastases [Internet]. Computer Methods and Programs in Biomedicine. 2018 ; 159 23-30.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1016/j.cmpb.2018.02.015
Vancouver
Ferreira Junior JR, Santos MK, Cipriano FEG, Fabro AT, Azevedo-Marques PM de. Radiomics-based features for pattern recognition of lung cancer histopathology and metastases [Internet]. Computer Methods and Programs in Biomedicine. 2018 ; 159 23-30.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1016/j.cmpb.2018.02.015
Artigo de periodico
Detection of sputum cofilin-1 as indicator of malignancy (2018)
Rangel, M.P.; Antonangelo, Leila; Capelozzi, Vera Luiza; Fabro, Alexandre Todorovic
Fonte: Brazilian journal of medical and biological research. Unidades: FM, FMRP
Assuntos: BIOMARCADORES, PROTO-ONCOGENES, NEOPLASIAS PULMONARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RANGEL, M.P. et al. Detection of sputum cofilin-1 as indicator of malignancy. Brazilian journal of medical and biological research, v. 51, n. 8, p. e7138, 2018Tradução . . Disponível em: https://doi.org/10.1590/1414-431x20187138. Acesso em: 04 dez. 2025.
APA
Rangel, M. P., Antonangelo, L., Capelozzi, V. L., & Fabro, A. T. (2018). Detection of sputum cofilin-1 as indicator of malignancy. Brazilian journal of medical and biological research, 51( 8), e7138. doi:10.1590/1414-431x20187138
NLM
Rangel MP, Antonangelo L, Capelozzi VL, Fabro AT. Detection of sputum cofilin-1 as indicator of malignancy [Internet]. Brazilian journal of medical and biological research. 2018 ; 51( 8): e7138.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/1414-431x20187138
Vancouver
Rangel MP, Antonangelo L, Capelozzi VL, Fabro AT. Detection of sputum cofilin-1 as indicator of malignancy [Internet]. Brazilian journal of medical and biological research. 2018 ; 51( 8): e7138.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1590/1414-431x20187138
Trabalho de evento-resumo
Next-generation sequencing of non-small cell lung cancer using a customized, targeted sequencing panel: focus on epithelial-mesenchymal transition (2017)
Machado, Juliana Rodrigues; Fabro, Alexandre Todorovic; Palu, Mariele; Batah, Sabrina Setembre; Leão, Patrícia dos Santos; Parra, Edwin R.; Fantinatti, Bruno; Capelozzi, Vera Luiza
Fonte: Abstracts. Nome do evento: Biennial Meeting of Pulmonary Pathology Society. Unidades: FMRP, FM
Assunto: NEOPLASIAS PULMONARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Juliana Rodrigues et al. Next-generation sequencing of non-small cell lung cancer using a customized, targeted sequencing panel: focus on epithelial-mesenchymal transition. 2017, Anais.. Chicago: PPS, 2017. . Acesso em: 04 dez. 2025.
APA
Machado, J. R., Fabro, A. T., Palu, M., Batah, S. S., Leão, P. dos S., Parra, E. R., et al. (2017). Next-generation sequencing of non-small cell lung cancer using a customized, targeted sequencing panel: focus on epithelial-mesenchymal transition. In Abstracts. Chicago: PPS.
NLM
Machado JR, Fabro AT, Palu M, Batah SS, Leão P dos S, Parra ER, Fantinatti B, Capelozzi VL. Next-generation sequencing of non-small cell lung cancer using a customized, targeted sequencing panel: focus on epithelial-mesenchymal transition. Abstracts. 2017 ;[citado 2025 dez. 04 ]
Vancouver
Machado JR, Fabro AT, Palu M, Batah SS, Leão P dos S, Parra ER, Fantinatti B, Capelozzi VL. Next-generation sequencing of non-small cell lung cancer using a customized, targeted sequencing panel: focus on epithelial-mesenchymal transition. Abstracts. 2017 ;[citado 2025 dez. 04 ]
Trabalho de evento-resumo periodico
Clinical relevant oncogenic drivers in advanced adenocarcinoma discloses new therapeutic target in negative EGFR/ALK/KRAS patients (2017)
Machado, Juliana; Nagai, Maria Aparecida; Fabro, Alexandre Todorovic; Capelozzi, Vera Luiza
Fonte: Journal of thoracic oncology. Nome do evento: World conference on lun cancer - ASLC. Unidades: FM, FMRP
Assuntos: NEOPLASIAS PULMONARES, ADENOCARCINOMA, PULMÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Juliana et al. Clinical relevant oncogenic drivers in advanced adenocarcinoma discloses new therapeutic target in negative EGFR/ALK/KRAS patients. Journal of thoracic oncology. New York: Faculdade de Medicina, Universidade de São Paulo. Disponível em: https://www.sciencedirect.com/journal/journal-of-thoracic-oncology/vol/12/issue/1/suppl/S. Acesso em: 04 dez. 2025. , 2017
APA
Machado, J., Nagai, M. A., Fabro, A. T., & Capelozzi, V. L. (2017). Clinical relevant oncogenic drivers in advanced adenocarcinoma discloses new therapeutic target in negative EGFR/ALK/KRAS patients. Journal of thoracic oncology. New York: Faculdade de Medicina, Universidade de São Paulo. Recuperado de https://www.sciencedirect.com/journal/journal-of-thoracic-oncology/vol/12/issue/1/suppl/S
NLM
Machado J, Nagai MA, Fabro AT, Capelozzi VL. Clinical relevant oncogenic drivers in advanced adenocarcinoma discloses new therapeutic target in negative EGFR/ALK/KRAS patients [Internet]. Journal of thoracic oncology. 2017 ; 12( 1): S955.[citado 2025 dez. 04 ] Available from: https://www.sciencedirect.com/journal/journal-of-thoracic-oncology/vol/12/issue/1/suppl/S
Vancouver
Machado J, Nagai MA, Fabro AT, Capelozzi VL. Clinical relevant oncogenic drivers in advanced adenocarcinoma discloses new therapeutic target in negative EGFR/ALK/KRAS patients [Internet]. Journal of thoracic oncology. 2017 ; 12( 1): S955.[citado 2025 dez. 04 ] Available from: https://www.sciencedirect.com/journal/journal-of-thoracic-oncology/vol/12/issue/1/suppl/S
Artigo de periodico
Intranasal administration of type V collagen reduces lung carcinogenesis through increasing endothelial apoptosis in a urethane-induced lung tumor model (2016)
Parra, Edwin Roger ; Alveno, Renata Antunes; Faustino, Carolina Brito; Correa, Paula Yume Sata Serzedello; Vargas, Camila Mutai; Morais, Jymenez de; Rangel, Maristela Peres; Velosa, Ana Paula Pereira ; Fabro, Alexandre Todorovic ; Teodoro, Walcy Paganelli Rosolia ; Capelozzi, Vera Luiza
Fonte: Archivum Immunologiae et Therapiae Experimentalis. Unidades: FMRP, FM
Assuntos: APOPTOSE, COLÁGENO, CÉLULAS ENDOTELIAIS, CÉLULAS EPITELIAIS, NEOPLASIAS PULMONARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PARRA, Edwin Roger et al. Intranasal administration of type V collagen reduces lung carcinogenesis through increasing endothelial apoptosis in a urethane-induced lung tumor model. Archivum Immunologiae et Therapiae Experimentalis, v. 64, n. 4, p. 321-329, 2016Tradução . . Disponível em: https://doi.org/10.1007/s00005-016-0390-1. Acesso em: 04 dez. 2025.
APA
Parra, E. R., Alveno, R. A., Faustino, C. B., Correa, P. Y. S. S., Vargas, C. M., Morais, J. de, et al. (2016). Intranasal administration of type V collagen reduces lung carcinogenesis through increasing endothelial apoptosis in a urethane-induced lung tumor model. Archivum Immunologiae et Therapiae Experimentalis, 64( 4), 321-329. doi:10.1007/s00005-016-0390-1
NLM
Parra ER, Alveno RA, Faustino CB, Correa PYSS, Vargas CM, Morais J de, Rangel MP, Velosa APP, Fabro AT, Teodoro WPR, Capelozzi VL. Intranasal administration of type V collagen reduces lung carcinogenesis through increasing endothelial apoptosis in a urethane-induced lung tumor model [Internet]. Archivum Immunologiae et Therapiae Experimentalis. 2016 ; 64( 4): 321-329.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s00005-016-0390-1
Vancouver
Parra ER, Alveno RA, Faustino CB, Correa PYSS, Vargas CM, Morais J de, Rangel MP, Velosa APP, Fabro AT, Teodoro WPR, Capelozzi VL. Intranasal administration of type V collagen reduces lung carcinogenesis through increasing endothelial apoptosis in a urethane-induced lung tumor model [Internet]. Archivum Immunologiae et Therapiae Experimentalis. 2016 ; 64( 4): 321-329.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/s00005-016-0390-1

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