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  1. Article

    Open Access

    Author Correction: Federated learning enables big data for rare cancer boundary detection

    Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller in Nature Communications (2023)

  2. Article

    Open Access

    Federated learning enables big data for rare cancer boundary detection

    Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging...

    Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller in Nature Communications (2022)

  3. Article

    Open Access

    EWSR1-BEND2 fusion defines an epigenetically distinct subtype of astroblastoma

    Calixto-Hope G. Lucas, Rohit Gupta, Jasper Wu, Kathan Shah in Acta Neuropathologica (2022)

  4. Article

    Open Access

    Author Correction: Topographic correlates of driver mutations and endogenous gene expression in pediatric diffuse midline gliomas and hemispheric high-grade gliomas

    Eve Kazarian, Asher Marks, ** Cui, Armine Darbinyan, Elizabeth Tong in Scientific Reports (2021)

  5. No Access

    Article

    Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma

    We predicted molecular profiles in newly diagnosed glioblastoma patients using magnetic resonance (MR) imaging features and explored the associations between imaging features and major molecular alterations.

    Sung Soo Ahn, Chansik An, Yae Won Park, Kyunghwa Han in Journal of Neuro-Oncology (2021)

  6. Article

    Open Access

    Topographic correlates of driver mutations and endogenous gene expression in pediatric diffuse midline gliomas and hemispheric high-grade gliomas

    We evaluate the topographic distribution of diffuse midline gliomas and hemispheric high-grade gliomas in children with respect to their normal gene expression patterns and pathologic driver mutation patterns....

    Eve Kazarian, Asher Marks, ** Cui, Armine Darbinyan, Elizabeth Tong in Scientific Reports (2021)

  7. Article

    Open Access

    A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas

    Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. The current standard of care—resection and chemoradiation—is limited in part due to the genetic heterogeneity...

    Evan Calabrese, Javier E. Villanueva-Meyer, Soonmee Cha in Scientific Reports (2020)

  8. No Access

    Article

    Recurrent non-canonical histone H3 mutations in spinal cord diffuse gliomas

    Emily A. Sloan, Tabitha Cooney, Nancy Ann Oberheim Bush in Acta Neuropathologica (2019)

  9. No Access

    Article

    Location of subventricular zone recurrence and its radiation dose predicts survival in patients with glioblastoma

    Glioblastomas are aggressive brain tumors that frequently recur in the subventricular zone (SVZ) despite maximal treatment. The purpose of this study was to evaluate imaging patterns of subventricular progress...

    Brent D. Weinberg, Lauren Boreta, Steve Braunstein in Journal of Neuro-Oncology (2018)

  10. No Access

    Article

    Early tumor growth between initial resection and radiotherapy of glioblastoma: incidence and impact on clinical outcomes

    Early tumor growth, or increased contrast-enhancing tumor not related to evolving post-surgical injury, in the interval between surgical resection and initiation of radiotherapy has implications for treatment ...

    Javier E. Villanueva-Meyer, Seunggu J. Han, Soonmee Cha in Journal of Neuro-Oncology (2017)

  11. No Access

    Article

    Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma

    Low-grade gliomas can vary widely in disease course and therefore patient outcome. While current characterization relies on both histological and molecular analysis of tissue resected during surgery, there rem...

    Evan Neill, Tracy Luks, Manisha Dayal, Joanna J. Phillips in Journal of Neuro-Oncology (2017)

  12. Article

    Open Access

    Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab

    Interpretation of changes in the T1- and T2-weighted MR images from patients with newly diagnosed glioblastoma (GBM) treated with standard of care in conjunction with anti-angiogenic agents is complicated by p...

    Sarah J. Nelson, Yan Li, Janine M. Lupo, Marram Olson in Journal of Neuro-Oncology (2016)

  13. Article

    Open Access

    Adult-onset central nervous system hemophagocytic lymphohistiocytosis: a case report

    Hemophagocytic lymphohistiocytosis (HLH) is a clinical syndrome with both genetic and acquired causes characterized by elevated cytokine levels, hyperinflammation, and overactivation of lymphocytes and macroph...

    Daniel M. Pastula, Mark Burish, Gerald F. Reis, Andrew Bollen, Soonmee Cha in BMC Neurology (2015)

  14. No Access

    Article

    Apparent diffusion coefficient in glioblastoma with PNET-like components, a GBM variant

    Glioblastoma (GBM) with primitive neuroectodermal tumor (PNET)-like (GBM-PNET) components is a rare variant of GBM. Recent studies describe PNET-like clinical behavior in these patients—with significantly incr...

    Saad Ali, Nancy M. Joseph, Arie Perry, Ramon F. Barajas Jr. in Journal of Neuro-Oncology (2014)

  15. No Access

    Reference Work Entry In depth

    Brain Cancer: Evidence-Based Neuroimaging

    The term brain cancer, more commonly referred to as brain tumor, is used here to describe all primary and secondary neoplasms of the brain and its covering, including the leptomeninges, dura, skull, and scalp....

    Soonmee Cha in Evidence-Based Neuroimaging Diagnosis and Treatment (2013)

  16. No Access

    Article

    Apparent diffusion coefficient histogram analysis stratifies progression-free and overall survival in patients with recurrent GBM treated with bevacizumab: a multi-center study

    We have tested the predictive value of apparent diffusion coefficient (ADC) histogram analysis in stratifying progression-free survival (PFS) and overall survival (OS) in bevacizumab-treated patients with rec...

    Whitney B. Pope, **n Joe Qiao, Hyun J. Kim, Albert Lai in Journal of Neuro-Oncology (2012)

  17. No Access

    Article

    Ferumoxytol-Enhanced MRI to Image Inflammation Within Human Brain Arteriovenous Malformations: a Pilot Investigation

    Inflammation cell infiltration and cytokine expression are seen in the vascular walls and intervening stroma of resected brain arteriovenous malformation (bAVM) specimens, even in unruptured and previously unt...

    David M. Hasan, Matthew Amans, Tarik Tihan in Translational Stroke Research (2012)

  18. No Access

    Chapter

    8 Imaging of Brain Cancer

    Brain imaging is necessary for optimal localization, characterization, and management of brain cancer prior to surgery in patients with suspected or confirmed brain tumors (strong evidence). Due to its superio...

    Soonmee Cha in Evidence-Based Imaging (2011)

  19. No Access

    Chapter

    Modern Neuroimaging of Pediatric Brain Tumors

    Neuroimaging has been an important tool in the diagnosis and surveillance of brain tumors for more than 30 years. Although magnetic resonance (MR) imaging remains the most important imaging tool for assessing ...

    Sean O. Bryant, Soonmee Cha, A. James Barkovich in Pediatric CNS Tumors (2010)

  20. No Access

    Chapter

    Imaging of Brain Neoplasm

    ■ Brain imaging is necessary for optimal localization, characterization, and management of pediatric brain cancer prior to surgery in patients with suspected or confirmed brain tumors (strong evidence).

    Soonmee Cha in Evidence-Based Imaging in Pediatrics (2010)

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