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Depth of Radiographic Response and Time to Tumor Regrowth Predicts Overall Survival Following Anti-VEGF Therapy in Recurrent Glioblastoma.
Ellingson, Benjamin M; Hagiwara, Akifumi; Morris, Connor J; Cho, Nicholas S; Oshima, Sonoko; Sanvito, Francesco; Oughourlian, Talia C; Telesca, Donatello; Raymond, Catalina; Abrey, Lauren E; Garcia, Josep; Aftab, Dana T; Hessel, Colin; Rachmilewitz Minei, Tamar; Harats, Dror; Nathanson, David A; Wen, Patrick Y; Cloughesy, Timothy F.
Afiliación
  • Ellingson BM; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California Los Angeles, Los Angeles, California.
  • Hagiwara A; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • Morris CJ; Neuroscience Interdepartmental PhD Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • Cho NS; Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, California.
  • Oshima S; Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • Sanvito F; UCLA Neuro-Oncology Program, University of California Los Angeles, Los Angeles, California.
  • Oughourlian TC; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • Telesca D; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California Los Angeles, Los Angeles, California.
  • Raymond C; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • Abrey LE; Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
  • Garcia J; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California Los Angeles, Los Angeles, California.
  • Aftab DT; Medical Scientist Training Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • Hessel C; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California Los Angeles, Los Angeles, California.
  • Rachmilewitz Minei T; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • Harats D; Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, California.
  • Nathanson DA; Medical Scientist Training Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • Wen PY; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California Los Angeles, Los Angeles, California.
  • Cloughesy TF; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Clin Cancer Res ; 29(20): 4186-4195, 2023 10 13.
Article en En | MEDLINE | ID: mdl-37540556
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Cancer Res Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Cancer Res Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos