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Title of Journal: J Neurooncol

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Abbravation: Journal of Neuro-Oncology

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Springer US

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DOI

10.1016/0167-8116(96)85015-4

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1573-7373

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Quantitative multimodal MR imaging as a noninvas

Authors: Evan Neill Tracy Luks Manisha Dayal Joanna J Phillips Arie Perry Llewellyn E Jalbert Soonmee Cha Annette Molinaro Susan M Chang Sarah J Nelson
Publish Date: 2017/01/25
Volume: 132, Issue: 1, Pages: 171-179
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Abstract

Lowgrade 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 remains high variability within glioma subtypes in terms of response to treatment and outcome In this study we hypothesized that parameters obtained from magnetic resonance data would be associated with progressionfree survival for patients with recurrent lowgrade glioma The values considered were derived from the analysis of anatomic imaging diffusion weighted imaging and 1H magnetic resonance spectroscopic imaging data Metrics obtained from diffusion and spectroscopic imaging presented strong prognostic capability within the entire population as well as when restricted to astrocytomas but demonstrated more limited efficacy in the oligodendrogliomas The results indicate that multiparametric imaging data may be applied as a noninvasive means of assessing prognosis and may contribute to developing personalized treatment plans for patients with recurrent lowgrade gliomaAll procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards


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  2. The effect of valproic acid in combination with irradiation and temozolomide on primary human glioblastoma cells
  3. Origins and clinical implications of the brain tumor stem cell hypothesis
  4. Genomic predictors of patterns of progression in glioblastoma and possible influences on radiation field design
  5. All- trans retinoic acid inhibits craniopharyngioma cell growth: study on an explant cell model
  6. Suggested response criteria for phase II antitumor drug studies for neurofibromatosis type 2 related vestibular schwannoma
  7. Quality of radiosurgery for single brain metastases with respect to treatment technology: a matched-pair analysis
  8. Phase II trial of temozolomide in children with recurrent high-grade glioma
  9. Management of patients with recurrence of diffuse low grade glioma
  10. Valproic acid affected the survival and invasiveness of human glioma cells through diverse mechanisms
  11. Cognitive outcome as part and parcel of clinical outcome in brain tumor surgery
  12. The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types
  13. Failure pattern following complete resection plus radiotherapy and temozolomide is at the resection margin in patients with glioblastoma
  14. Do perfusion and diffusion MRI predict glioblastoma relapse sites following chemoradiation?
  15. A new prognostic scoring scale for patients with primary WHO grade III gliomas based on molecular predictors
  16. Extraneural metastatic medulloblastoma in an adult
  17. Incidence of craniopharyngioma in Denmark ( n = 189) and estimated world incidence of craniopharyngioma in children and adults
  18. Application of diffusion-weighted magnetic resonance imaging to predict the intracranial metastatic tumor response to gamma knife radiosurgery
  19. Tissue thioredoxin reductase-1 expression in astrocytomas of different grades
  20. Analysis of transforming growth factor β receptor expression and signaling in higher grade meningiomas
  21. Disparities in receipt of modern concurrent chemoradiotherapy in glioblastoma
  22. Multiple paraneoplastic diseases occurring in the same patient after thymomectomy
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  25. Weight of epilepsy in brain tumor patients
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  29. Gamma Knife radiosurgery for brainstem metastases: the UCSF experience
  30. Genetic risk variants in the CDKN2A/B, RTEL1 and EGFR genes are associated with somatic biomarkers in glioma
  31. Health related quality of life and cognitive status in patients with glioblastoma multiforme receiving escalating doses of conformal three dimensional radiation on RTOG 98-03
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