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Raymond Y Huang, Ph.D., M.D.

Co-Author

This page shows the publications co-authored by Raymond Huang and Patrick Wen.
Connection Strength

8.653
  1. Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatment. Neuro Oncol. 2020 12 18; 22(12):1822-1830.
    View in: PubMed
    Score: 0.935
  2. Response assessment of meningioma: 1D, 2D, and volumetric criteria for treatment response and tumor progression. Neuro Oncol. 2019 02 14; 21(2):234-241.
    View in: PubMed
    Score: 0.823
  3. Proposed response assessment and endpoints for meningioma clinical trials: report from the Response Assessment in Neuro-Oncology Working Group. Neuro Oncol. 2019 01 01; 21(1):26-36.
    View in: PubMed
    Score: 0.816
  4. Response Assessment in Neuro-Oncology Criteria and Clinical Endpoints. Magn Reson Imaging Clin N Am. 2016 Nov; 24(4):705-718.
    View in: PubMed
    Score: 0.696
  5. The Impact of T2/FLAIR Evaluation per RANO Criteria on Response Assessment of Recurrent Glioblastoma Patients Treated with Bevacizumab. Clin Cancer Res. 2016 Feb 01; 22(3):575-81.
    View in: PubMed
    Score: 0.654
  6. Pitfalls in the neuroimaging of glioblastoma in the era of antiangiogenic and immuno/targeted therapy - detecting illusive disease, defining response. Front Neurol. 2015; 6:33.
    View in: PubMed
    Score: 0.625
  7. Recurrent glioblastoma: volumetric assessment and stratification of patient survival with early posttreatment magnetic resonance imaging in patients treated with bevacizumab. Cancer. 2013 Oct 01; 119(19):3479-88.
    View in: PubMed
    Score: 0.557
  8. Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions. Neuro Oncol. 2020 08 17; 22(8):1073-1113.
    View in: PubMed
    Score: 0.228
  9. Ivosidenib in Isocitrate Dehydrogenase 1-Mutated Advanced Glioma. J Clin Oncol. 2020 10 10; 38(29):3398-3406.
    View in: PubMed
    Score: 0.226
  10. Imaging of Central Nervous System Tumors Based on the 2016 World Health Organization Classification. Neurol Clin. 2020 02; 38(1):95-113.
    View in: PubMed
    Score: 0.216
  11. A low percentage of metastases in deep brain and temporal lobe structures. Neuro Oncol. 2019 05 06; 21(5):640-647.
    View in: PubMed
    Score: 0.209
  12. Imaging and diagnostic advances for intracranial meningiomas. Neuro Oncol. 2019 01 14; 21(Suppl 1):i44-i61.
    View in: PubMed
    Score: 0.205
  13. Voxel-Wise Analysis of Fluoroethyltyrosine PET and MRI in the Assessment of Recurrent Glioblastoma During Antiangiogenic Therapy. AJR Am J Roentgenol. 2018 12; 211(6):1342-1347.
    View in: PubMed
    Score: 0.201
  14. PD-1 inhibition has only limited clinical benefit in patients with recurrent high-grade glioma. Neurology. 2018 10 02; 91(14):e1355-e1359.
    View in: PubMed
    Score: 0.199
  15. Diagnostic accuracy of 2-hydroxyglutarate magnetic resonance spectroscopy in newly diagnosed brain mass and suspected recurrent gliomas. Neuro Oncol. 2018 08 02; 20(9):1262-1271.
    View in: PubMed
    Score: 0.198
  16. Imaging in neuro-oncology. Ther Adv Neurol Disord. 2018; 11:1756286418759865.
    View in: PubMed
    Score: 0.193
  17. Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas. Neuro Oncol. 2017 01; 19(1):109-117.
    View in: PubMed
    Score: 0.171
  18. Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab. Neuro Oncol. 2016 12; 18(12):1680-1687.
    View in: PubMed
    Score: 0.170
  19. How treatment monitoring is influencing treatment decisions in glioblastomas. Curr Treat Options Neurol. 2015 Apr; 17(4):343.
    View in: PubMed
    Score: 0.157
  20. Histogram analysis of apparent diffusion coefficient within enhancing and nonenhancing tumor volumes in recurrent glioblastoma patients treated with bevacizumab. J Neurooncol. 2014 Aug; 119(1):149-58.
    View in: PubMed
    Score: 0.148
  21. Corrigendum to: Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors. Neuro Oncol. 2021 Sep 22.
    View in: PubMed
    Score: 0.062
  22. Deep Learning-Based Automatic Tumor Burden Assessment of Pediatric High-Grade Gliomas, Medulloblastomas, and Other Leptomeningeal Seeding Tumors. Neuro Oncol. 2021 Jun 26.
    View in: PubMed
    Score: 0.061
  23. Analysis of morphological characteristics of IDH-mutant/wildtype brain tumors using whole-lesion phenotype analysis. Neurooncol Adv. 2021 Jan-Dec; 3(1):vdab088.
    View in: PubMed
    Score: 0.061
  24. Activity of PD-1 blockade with Nivolumab among patients with recurrent atypical/anaplastic meningioma: Phase II trial results. Neuro Oncol. 2021 May 20.
    View in: PubMed
    Score: 0.060
  25. Response to Letter to Editor. Neuro Oncol. 2020 11 26; 22(11):1706-1707.
    View in: PubMed
    Score: 0.058
  26. Evaluation of RAPNO criteria in medulloblastoma and other leptomeningeal seeding tumors using MRI and clinical data. Neuro Oncol. 2020 10 14; 22(10):1536-1544.
    View in: PubMed
    Score: 0.058
  27. Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas. Neuro Oncol. 2020 09 29; 22(9):1262-1275.
    View in: PubMed
    Score: 0.058
  28. Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro Oncol. 2020 06 09; 22(6):757-772.
    View in: PubMed
    Score: 0.056
  29. Mechanisms and therapeutic implications of hypermutation in gliomas. Nature. 2020 04; 580(7804):517-523.
    View in: PubMed
    Score: 0.056
  30. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement. Neuro Oncol. 2019 11 04; 21(11):1412-1422.
    View in: PubMed
    Score: 0.054
  31. Validation of postoperative residual contrast-enhancing tumor volume as an independent prognostic factor for overall survival in newly diagnosed glioblastoma. Neuro Oncol. 2018 08 02; 20(9):1240-1250.
    View in: PubMed
    Score: 0.050
  32. The FDA NIH Biomarkers, EndpointS, and other Tools (BEST) resource in neuro-oncology. Neuro Oncol. 2018 08 02; 20(9):1162-1172.
    View in: PubMed
    Score: 0.050
  33. Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab. Neuro Oncol. 2017 Nov 29; 19(12):1688-1697.
    View in: PubMed
    Score: 0.047
  34. Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging. Clin Cancer Res. 2018 03 01; 24(5):1073-1081.
    View in: PubMed
    Score: 0.047
  35. Radiographic prediction of meningioma grade by semantic and radiomic features. PLoS One. 2017; 12(11):e0187908.
    View in: PubMed
    Score: 0.047
  36. Diffusion MRI Phenotypes Predict Overall Survival Benefit from Anti-VEGF Monotherapy in Recurrent Glioblastoma: Converging Evidence from Phase II Trials. Clin Cancer Res. 2017 Oct 01; 23(19):5745-5756.
    View in: PubMed
    Score: 0.046
  37. Case Report: Next generation sequencing identifies a NAB2-STAT6 fusion in Glioblastoma. Diagn Pathol. 2016 Jan 27; 11:13.
    View in: PubMed
    Score: 0.042
  38. Immunotherapy response assessment in neuro-oncology: a report of the RANO working group. Lancet Oncol. 2015 Nov; 16(15):e534-e542.
    View in: PubMed
    Score: 0.041
  39. Retrospective study of carmustine or lomustine with bevacizumab in recurrent glioblastoma patients who have failed prior bevacizumab. Neuro Oncol. 2014 Nov; 16(11):1523-9.
    View in: PubMed
    Score: 0.037
  40. Recurrent high-grade glioma treated with bevacizumab: prognostic value of MGMT methylation, EGFR status and pretreatment MRI in determining response and survival. J Neurooncol. 2013 Nov; 115(2):267-76.
    View in: PubMed
    Score: 0.035
Connection Strength
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.