Non-invasive prediction of glioma tumor stemness using multimodal MRI (2019)
- Authors:
- Autor USP: NOUSHMEHR, HOUTAN - FMRP
- Unidade: FMRP
- DOI: 10.1158/1538-7445.AM2019-1939
- Subjects: GLIOMA; TUMOR CARCINOIDE; RESSONÂNCIA MAGNÉTICA
- Language: Inglês
- Imprenta:
- Source:
- Título: Cancer Research
- ISSN: 0008-5472
- Volume/Número/Paginação/Ano: v. 79, n. 13, suppl., p. 1939, 2019
- Conference titles: Annual Meeting American Association for Cancer Research - AACR
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
DAVOODI-BOJD, Esmaeil et al. Non-invasive prediction of glioma tumor stemness using multimodal MRI. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1158/1538-7445.AM2019-1939. Acesso em: 21 fev. 2026. , 2019 -
APA
Davoodi-Bojd, E., Malta, T., Griffith, B., Snyder, J., Walbert, T., Noushmehr, H., & Soltanian-Zadeh, H. (2019). Non-invasive prediction of glioma tumor stemness using multimodal MRI. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1158/1538-7445.AM2019-1939 -
NLM
Davoodi-Bojd E, Malta T, Griffith B, Snyder J, Walbert T, Noushmehr H, Soltanian-Zadeh H. Non-invasive prediction of glioma tumor stemness using multimodal MRI [Internet]. Cancer Research. 2019 ; 79( 13): 1939.[citado 2026 fev. 21 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-1939 -
Vancouver
Davoodi-Bojd E, Malta T, Griffith B, Snyder J, Walbert T, Noushmehr H, Soltanian-Zadeh H. Non-invasive prediction of glioma tumor stemness using multimodal MRI [Internet]. Cancer Research. 2019 ; 79( 13): 1939.[citado 2026 fev. 21 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-1939 - TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]
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Informações sobre o DOI: 10.1158/1538-7445.AM2019-1939 (Fonte: oaDOI API)
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