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  Neoplasms of the CNS

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Articles published in Neuroradiology

Retrieve available abstracts of 56 articles:
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    May 2019
  1. WU CC, Jain R, Neto L, Patel S, et al
    MR imaging phenotype correlates with extent of genome-wide copy number abundance in IDH mutant gliomas.
    Neuroradiology. 2019 May 27. pii: 10.1007/s00234-019-02219.
    PubMed     Text format     Abstract available


    April 2019
  2. ZOCCARATO M, Valeggia S, Zuliani L, Gastaldi M, et al
    Conventional brain MRI features distinguishing limbic encephalitis from mesial temporal glioma.
    Neuroradiology. 2019 Apr 26. pii: 10.1007/s00234-019-02212.
    PubMed     Text format     Abstract available


  3. HASSE A, Dapash M, Jeong Y, Ansari SA, et al
    Correlation of post-contrast T1-weighted MRI surface regularity, tumor bulk, and necrotic volume with Ki67 and p53 in glioblastomas.
    Neuroradiology. 2019 Apr 24. pii: 10.1007/s00234-019-02204.
    PubMed     Text format     Abstract available


  4. MARSAULT P, Ducassou S, Menut F, Bessou P, et al
    Correction to: Diagnostic performance of an unenhanced MRI exam for tumor follow-up of the optic pathway gliomas in children.
    Neuroradiology. 2019 Apr 22. pii: 10.1007/s00234-019-02214.
    PubMed     Text format     Abstract available


  5. SHROT S, Salhov M, Dvorski N, Konen E, et al
    Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme.
    Neuroradiology. 2019 Apr 4. pii: 10.1007/s00234-019-02195.
    PubMed     Text format     Abstract available


    March 2019
  6. MARSAULT P, Ducassou S, Menut F, Bessou P, et al
    Diagnostic performance of an unenhanced MRI exam for tumor follow-up of the optic pathway gliomas in children.
    Neuroradiology. 2019 Mar 23. pii: 10.1007/s00234-019-02198.
    PubMed     Text format     Abstract available


    February 2019
  7. LATYSHEVA A, Emblem KE, Brandal P, Vik-Mo EO, et al
    Dynamic susceptibility contrast and diffusion MR imaging identify oligodendroglioma as defined by the 2016 WHO classification for brain tumors: histogram analysis approach.
    Neuroradiology. 2019 Feb 2. pii: 10.1007/s00234-019-02173.
    PubMed     Text format     Abstract available


  8. KIVINIEMI A, Gardberg M, Ek P, Frantzen J, et al
    Gadolinium retention in gliomas and adjacent normal brain tissue: association with tumor contrast enhancement and linear/macrocyclic agents.
    Neuroradiology. 2019 Feb 2. pii: 10.1007/s00234-019-02172.
    PubMed     Text format     Abstract available


    January 2019
  9. GLESSGEN C, Gallichan D, Moor M, Hainc N, et al
    Evaluation of 3D fat-navigator based retrospective motion correction in the clinical setting of patients with brain tumors.
    Neuroradiology. 2019 Jan 23. pii: 10.1007/s00234-019-02160.
    PubMed     Text format     Abstract available


  10. SUH CH, Park JE, Jung SC, Choi CG, et al
    Amide proton transfer-weighted MRI in distinguishing high- and low-grade gliomas: a systematic review and meta-analysis.
    Neuroradiology. 2019 Jan 21. pii: 10.1007/s00234-018-02152.
    PubMed     Text format     Abstract available


  11. JUNG JS, Choi YS, Ahn SS, Yi S, et al
    Differentiation between spinal cord diffuse midline glioma with histone H3 K27M mutation and wild type: comparative magnetic resonance imaging.
    Neuroradiology. 2019 Jan 20. pii: 10.1007/s00234-019-02154.
    PubMed     Text format     Abstract available


    December 2018
  12. JOHNSON DR, Kaufmann TJ, Patel SH, Chi AS, et al
    There is an exception to every rule-T2-FLAIR mismatch sign in gliomas.
    Neuroradiology. 2018 Dec 18. pii: 10.1007/s00234-018-2148.
    PubMed     Text format     Abstract available


    November 2018
  13. HELLSTROM J, Romanos Zapata R, Libard S, Wikstrom J, et al
    Evaluation of the INTERPRET decision-support system: can it improve the diagnostic value of magnetic resonance spectroscopy of the brain?
    Neuroradiology. 2018 Nov 15. pii: 10.1007/s00234-018-2129.
    PubMed     Text format     Abstract available


  14. GALLUZZI P, Casseri T, Cerase A, Guglielmucci D, et al
    Conventional, diffusion, and permeability MR findings in ocular medulloepithelioma.
    Neuroradiology. 2018;60:1213-1222.
    PubMed     Text format     Abstract available


    September 2018
  15. KIM Y, Cho HH, Kim ST, Park H, et al
    Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
    Neuroradiology. 2018 Sep 19. pii: 10.1007/s00234-018-2091.
    PubMed     Text format     Abstract available


  16. BHATT AA, Lin EP, Almast J
    The "pool sign" of metastatic adenocarcinoma.
    Neuroradiology. 2018;60:983-985.
    PubMed     Text format     Abstract available


    August 2018
  17. SOIKE MH, McTyre ER, Shah N, Puchalski RB, et al
    Glioblastoma radiomics: can genomic and molecular characteristics correlate with imaging response patterns?
    Neuroradiology. 2018 Aug 10. pii: 10.1007/s00234-018-2060.
    PubMed     Text format     Abstract available


  18. TANAKA Y, Hashimoto T, Watanabe D, Okada H, et al
    Post-embolization neurological syndrome after embolization for intracranial and skull base tumors: transient exacerbation of neurological symptoms with inflammatory responses.
    Neuroradiology. 2018;60:843-851.
    PubMed     Text format     Abstract available


    July 2018
  19. MELING TR, Latysheva A, Da Broi M, Jahr G, et al
    Is deep brain involvement in intracranial primary central nervous system lymphoma of importance for penetration of chemotherapeutic agents?
    Neuroradiology. 2018;60:703-713.
    PubMed     Text format     Abstract available


    June 2018
  20. NUNES NETO LP, Madelin G, Sood TP, Wu CC, et al
    Quantitative sodium imaging and gliomas: a feasibility study.
    Neuroradiology. 2018 Jun 3. pii: 10.1007/s00234-018-2041.
    PubMed     Text format     Abstract available


    May 2018
  21. SHE D, Liu J, Zeng Z, Xing Z, et al
    Diagnostic accuracy of diffusion weighted imaging for differentiation of supratentorial pilocytic astrocytoma and pleomorphic xanthoastrocytoma.
    Neuroradiology. 2018 May 24. pii: 10.1007/s00234-018-2036.
    PubMed     Text format     Abstract available


  22. LIU T, Cheng G, Kang X, Xi Y, et al
    Noninvasively evaluating the grading and IDH1 mutation status of diffuse gliomas by three-dimensional pseudo-continuous arterial spin labeling and diffusion-weighted imaging.
    Neuroradiology. 2018 May 18. pii: 10.1007/s00234-018-2021.
    PubMed     Text format     Abstract available


  23. SASAKI T, Kim J, Moritani T, Capizzano AA, et al
    Roles of the apparent diffusion coefficient and tumor volume in predicting tumor grade in patients with choroid plexus tumors.
    Neuroradiology. 2018;60:479-486.
    PubMed     Text format     Abstract available


    April 2018
  24. ARISAWA A, Watanabe Y, Tanaka H, Takahashi H, et al
    Comparative study of pulsed-continuous arterial spin labeling and dynamic susceptibility contrast imaging by histogram analysis in evaluation of glial tumors.
    Neuroradiology. 2018 Apr 29. pii: 10.1007/s00234-018-2024.
    PubMed     Text format     Abstract available


  25. LIU X, Li J, Xu Q, Mantini D, et al
    Pathological factors contributing to crossed cerebellar diaschisis in cerebral gliomas: a study combining perfusion, diffusion, and structural MR imaging.
    Neuroradiology. 2018 Apr 17. pii: 10.1007/s00234-018-2015.
    PubMed     Text format     Abstract available


    February 2018
  26. BRENDLE C, Hempel JM, Schittenhelm J, Skardelly M, et al
    Glioma grading by dynamic susceptibility contrast perfusion and (11)C-methionine positron emission tomography using different regions of interest.
    Neuroradiology. 2018 Feb 20. pii: 10.1007/s00234-018-1993.
    PubMed     Text format     Abstract available


  27. MORANA G, Tortora D, Stagliano S, Nozza P, et al
    Pediatric astrocytic tumor grading: comparison between arterial spin labeling and dynamic susceptibility contrast MRI perfusion.
    Neuroradiology. 2018 Feb 16. pii: 10.1007/s00234-018-1992.
    PubMed     Text format     Abstract available


  28. KIKUCHI K, Hiwatashi A, Togao O, Yamashita K, et al
    Usefulness of perfusion- and diffusion-weighted imaging to differentiate between pilocytic astrocytomas and high-grade gliomas: a multicenter study in Japan.
    Neuroradiology. 2018 Feb 15. pii: 10.1007/s00234-018-1991.
    PubMed     Text format     Abstract available


  29. DI IEVA A, Choi C, Magnussen JS
    Spectrobiopsy in neurodiagnostics: the new era.
    Neuroradiology. 2018;60:129-131.
    PubMed     Text format    


    January 2018
  30. D'ARCO F, O'Hare P, Dashti F, Lassaletta A, et al
    Volumetric assessment of tumor size changes in pediatric low-grade gliomas: feasibility and comparison with linear measurements.
    Neuroradiology. 2018 Jan 30. pii: 10.1007/s00234-018-1979.
    PubMed     Text format     Abstract available


  31. CELTIKCI P, Fernandes-Cabral DT, Yeh FC, Panesar SS, et al
    Generalized q-sampling imaging fiber tractography reveals displacement and infiltration of fiber tracts in low-grade gliomas.
    Neuroradiology. 2018 Jan 25. pii: 10.1007/s00234-018-1985.
    PubMed     Text format     Abstract available


    December 2017
  32. RAZEK AAKA, El-Serougy L, Abdelsalam M, Gaballa G, et al
    Differentiation of residual/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics.
    Neuroradiology. 2017 Dec 7. pii: 10.1007/s00234-017-1955.
    PubMed     Text format     Abstract available


    November 2017
  33. YANG WQ, Feng JY, Liu HJ, Huang B, et al
    Analysis of petrous apex meningocele associated with meningioma: is there any relation with chronic intracranial hypertension?
    Neuroradiology. 2017 Nov 29. pii: 10.1007/s00234-017-1932.
    PubMed     Text format     Abstract available


  34. MORANA G, Alves CA, Tortora D, Finlay JL, et al
    T2*-based MR imaging (gradient echo or susceptibility-weighted imaging) in midline and off-midline intracranial germ cell tumors: a pilot study.
    Neuroradiology. 2017 Nov 11. doi: 10.1007/s00234-017-1947.
    PubMed     Text format     Abstract available


  35. PERRY LA, Korfiatis P, Agrawal JP, Erickson BJ, et al
    Increased signal intensity within glioblastoma resection cavities on fluid-attenuated inversion recovery imaging to detect early progressive disease in patients receiving radiotherapy with concomitant temozolomide therapy.
    Neuroradiology. 2017 Nov 4. doi: 10.1007/s00234-017-1941.
    PubMed     Text format     Abstract available


    October 2017
  36. SAINI J, Gupta PK, Sahoo P, Singh A, et al
    Differentiation of grade II/III and grade IV glioma by combining "T1 contrast-enhanced brain perfusion imaging" and susceptibility-weighted quantitative imaging.
    Neuroradiology. 2017 Oct 31. doi: 10.1007/s00234-017-1942.
    PubMed     Text format     Abstract available


    September 2017
  37. DURON L, Sadones F, Thiesse P, Cellier C, et al
    Loco-regional extensions of central nervous system germ cell tumors: a retrospective radiological analysis of 100 patients.
    Neuroradiology. 2017 Sep 23. doi: 10.1007/s00234-017-1928.
    PubMed     Text format     Abstract available


  38. ROELCKE U, Berberat J, Mamot C, Remonda L, et al
    Diffusivity changes in bevacizumab-responding and -refractory meningioma.
    Neuroradiology. 2017 Sep 14. doi: 10.1007/s00234-017-1923.
    PubMed     Text format    


  39. ERSOY TF, Keil VC, Hadizadeh DR, Gielen GH, et al
    New prognostic factor telomerase reverse transcriptase promotor mutation presents without MR imaging biomarkers in primary glioblastoma.
    Neuroradiology. 2017 Sep 11. doi: 10.1007/s00234-017-1920.
    PubMed     Text format     Abstract available


  40. BURROWES D, Fangusaro JR, Nelson PC, Zhang B, et al
    Erratum to: Extended diffusion weighted magnetic resonance imaging with two-compartment and anomalous diffusion models for differentiation of low-grade and high-grade brain tumors in pediatric patients.
    Neuroradiology. 2017 Sep 6. doi: 10.1007/s00234-017-1918.
    PubMed     Text format    


    August 2017
  41. DALLERY F, Bouzerar R, Michel D, Attencourt C, et al
    Perfusion magnetic resonance imaging in pediatric brain tumors.
    Neuroradiology. 2017 Aug 31. doi: 10.1007/s00234-017-1917.
    PubMed     Text format     Abstract available


  42. TENSAOUTI F, Khalifa J, Lusque A, Plas B, et al
    Response Assessment in Neuro-Oncology criteria, contrast enhancement and perfusion MRI for assessing progression in glioblastoma.
    Neuroradiology. 2017 Aug 25. doi: 10.1007/s00234-017-1899.
    PubMed     Text format     Abstract available


    July 2017
  43. ALSUFAYAN R, Alcaide-Leon P, de Tilly LN, Mandell DM, et al
    Natural history of lesions with the MR imaging appearance of multinodular and vacuolating neuronal tumor.
    Neuroradiology. 2017 Jul 27. doi: 10.1007/s00234-017-1884.
    PubMed     Text format     Abstract available


  44. BURROWES D, Fangusaro JR, Nelson PC, Zhang B, et al
    Extended diffusion weighted magnetic resonance imaging with two-compartment and anomalous diffusion models for differentiation of low-grade and high-grade brain tumors in pediatric patients.
    Neuroradiology. 2017 Jul 8. doi: 10.1007/s00234-017-1865.
    PubMed     Text format     Abstract available


    May 2017
  45. YOON HJ, Ahn KJ, Lee S, Jang JH, et al
    Differential diagnosis of oligodendroglial and astrocytic tumors using imaging results: the added value of perfusion MR imaging.
    Neuroradiology. 2017 May 26. doi: 10.1007/s00234-017-1851.
    PubMed     Text format     Abstract available


  46. LIN Y, Xing Z, She D, Yang X, et al
    IDH mutant and 1p/19q co-deleted oligodendrogliomas: tumor grade stratification using diffusion-, susceptibility-, and perfusion-weighted MRI.
    Neuroradiology. 2017 May 4. doi: 10.1007/s00234-017-1839.
    PubMed     Text format     Abstract available


    March 2017
  47. GALLA N, Chiang G, Chakraborty S, Singh R, et al
    Apparent diffusion coefficient changes predict survival after intra-arterial bevacizumab treatment in recurrent glioblastoma.
    Neuroradiology. 2017 Mar 25. doi: 10.1007/s00234-017-1820.
    PubMed     Text format     Abstract available


  48. CHAE SY, Suh S, Ryoo I, Park A, et al
    A semi-automated volumetric software for segmentation and perfusion parameter quantification of brain tumors using 320-row multidetector computed tomography: a validation study.
    Neuroradiology. 2017 Mar 24. doi: 10.1007/s00234-017-1790.
    PubMed     Text format     Abstract available


    February 2017
  49. NINGNING D, Haopeng P, Xuefei D, Wenna C, et al
    Erratum to: Perfusion imaging of brain gliomas using arterial spin labeling: correlation with histopathological vascular density in MRI-guided biopsies.
    Neuroradiology. 2017 Feb 24. doi: 10.1007/s00234-017-1785.
    PubMed     Text format    


    January 2017
  50. QIN L, Li X, Stroiney A, Qu J, et al
    Advanced MRI assessment to predict benefit of anti-programmed cell death 1 protein immunotherapy response in patients with recurrent glioblastoma.
    Neuroradiology. 2017 Jan 9. doi: 10.1007/s00234-016-1769.
    PubMed     Text format     Abstract available


    December 2016
  51. NINGNING D, Haopeng P, Xuefei D, Wenna C, et al
    Perfusion imaging of brain gliomas using arterial spin labeling: correlation with histopathological vascular density in MRI-guided biopsies.
    Neuroradiology. 2016.
    PubMed     Text format     Abstract available


    October 2016
  52. RAJA R, Sinha N, Saini J, Mahadevan A, et al
    Assessment of tissue heterogeneity using diffusion tensor and diffusion kurtosis imaging for grading gliomas.
    Neuroradiology. 2016.
    PubMed     Text format     Abstract available


  53. ULYTE A, Katsaros VK, Liouta E, Stranjalis G, et al
    Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients.
    Neuroradiology. 2016.
    PubMed     Text format     Abstract available


    September 2016
  54. GONG T, Liu Y, Wang G, Yang L, et al
    Spinal perimedullary vein enlargement sign: an added value for the differentiation between intradural-extramedullary and intramedullary tumors on magnetic resonance imaging.
    Neuroradiology. 2016.
    PubMed     Text format     Abstract available


    August 2016
  55. KRAUS M, Weiss J, Selo N, Flohr T, et al
    Spinal dual-energy computed tomography: improved visualisation of spinal tumorous growth with a noise-optimised advanced monoenergetic post-processing algorithm.
    Neuroradiology. 2016.
    PubMed     Text format     Abstract available


    January 2016
  56. MA Z, He W, Zhao Y, Yuan J, et al
    Predictive value of PWI for blood supply and T1-spin echo MRI for consistency of pituitary adenoma.
    Neuroradiology. 2016;58:51-7.
    PubMed     Text format     Abstract available


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