Diffusion-Weighted MR Imaging: Diagnosing Atypical or Malignant Meningiomas and Detecting Tumor Dedifferentiation

References

1. ↵
   Das A, Tang WY, Smith DR. Meningiomas in Singapore: demographic and biological characteristics. J Neurooncol 2000;47:153–60

   CrossRefPubMed
2. ↵
   Hakyemez B, Yildirim N, Gokalp G, et al. The contribution of diffusion-weighted MR imaging to distinguishing typical from atypical meningiomas. Neuroradiology 2006;48:513–20

   CrossRefPubMed
3. ↵
   Carpeggiani P, Crisi G, Trevisan C. MRI of intracranial meningiomas: correlations with histology and physical consistency. Neuroradiology 1993;35:532–36

   CrossRefPubMed
4. ↵
   Jaaskelainen J, Haltia M, Laasonen E, et al. The growth rate of intracranial meningiomas and its relation to histology: an analysis of 43 patients. Surg Neurol 1985;24:165–72

   CrossRefPubMedWeb of Science
5. Mahmood A, Caccamo DV, Tomecek FJ, et al. Atypical and malignant meningiomas: a clinicopathological review. Neurosurgery 1993;33:955–63

   PubMedWeb of Science
6. Verheggen R, Finkenstaedt M, Bockermann V, et al. Atypical and malignant meningiomas: evaluation of different radiological criteria based on CT and MRI. Acta Neurochir 1996;65 (suppl):66–69
7. Zee CS, Chin T, Segall HD, et al. Magnetic resonance imaging of meningiomas. Semin Ultrasound CT MR 1992;13:154–69

   PubMed
8. ↵
   Modha A, Gutin PH. Diagnosis and treatment of atypical and anaplastic meningiomas: a review. Neurosurgery 2005;57:538–50

   CrossRefPubMedWeb of Science
9. ↵
   Krabbe K, Gideon P, Wagn P, et al. MR diffusion imaging of human intracranial tumours. Neuroradiology 1997;39:483–89

   CrossRefPubMed
10. ↵
    Sugahara T, Korogi Y, Kochi M, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 1999;9:53–60

    CrossRefPubMedWeb of Science
11. Gupta R, Sinha U, Cloughesy T, et al. Inverse correlation between choline magnetic resonance spectroscopy signal intensity and the apparent diffusion coefficient in human glioma. Magn Reson Med 1999;41:2–7

    CrossRefPubMedWeb of Science
12. Gupta R, Cloughesy T, Sinha U, et al. Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology in human glioma. Neuro-oncology 2000;50:215–26

    CrossRef
13. Stadnik TW, Chaskis C, Michotte A, et al. Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings. AJNR Am J Neuroradiol 2001;22:969–76

    Abstract/FREE Full Text
14. Kono K, Inoue Y, Nakayama K, et al. The role of diffusion-weighted imaging in patients with brain tumors. AJNR Am J Neuroradiology 2001;22:1081–88

    Abstract/FREE Full Text
15. ↵
    Bulakbasi N, Guvenc I, Onguru O, et al. The added value of the apparent diffusion coefficient calculation to magnetic resonance imaging in the differentiation and grading of malignant brain tumors. J Comput Assist Tomogr 2004;28:735–46

    CrossRefPubMed
16. ↵
    Yamasaki F, Kurisu K, Satoh K, et al. Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology 2005;235:985–91

    CrossRefPubMedWeb of Science
17. ↵
    Filippi CG, Edgar MA, Ulug AM, et al. Appearance of meningiomas on diffusion-weighted images: correlating diffusion constants with histopathologic findings. AJNR Am J Neuroradiol 2001;22:65–72

    Abstract/FREE Full Text
18. ↵
    Yang GL, Tan YF, Loh SC, et al. Neuroradiology imaging database: using picture archive and communication systems for brain tumour research. Sing Med J 2007;48:342–46
19. ↵
    Tan WL, Wong JHY, Liew D, et al. Aquaporin-4 is correlated with peritumoural oedema in meningiomas. Ann Acad Med Singapore 2004;33:S87–89

    PubMed
20. ↵
    Vorisek I, Hajek M, Tintera J, et al. Water ADC, extracellular space volume, and tortuosity in the rat cortex after traumatic injury. Magn Reson Med 2002;48:994–1003

    CrossRefPubMedWeb of Science
21. ↵
    Szafer A, Zhong J, Anderson AW, et al. Diffusion-weighted imaging in tissues: theoretical models. NMR Biomed 1995;8:289–96

    PubMedWeb of Science
22. ↵
    Buetow MP, Buetow PC, Smirniotopoulos JG. Typical, atypical, and misleading features in meningioma. Radiographics 1991;11:1087–106

    CrossRefPubMedWeb of Science
23. ↵
    Hein PA, Eskey CJ, Dunn JF, et al. Diffusion-weighted imaging in the follow-up of treated high-grade gliomas: tumor recurrence versus radiation injury. AJNR Am J Neuroradiol 2004;25:201–09

    Abstract/FREE Full Text
24. ↵
    Kepes JJ, Moral LA, Wilkinson SB, et al. Rhabdoid transformation of tumor cells in meningiomas: a histologic indication of increased proliferative activity: report of four cases. Am J Surg Pathol 1998;22:231–38

    CrossRefPubMed
25. ↵
    Perry A, Scheithauer BW, Stafford SL, et al. “Rhabdoid” meningioma: an aggressive variant. Am J Surg Pathol 1998;22:1482–90

    CrossRefPubMedWeb of Science
26. ↵
    Provenzale JM, Engelter ST, Petrella JR, et al. Use of MR exponential diffusion-weighted images to eradicate T2 shine-through phenomena on diffusion-weighted MR images. AJR Am J Roentgenol 1999;172:537–39

    PubMedWeb of Science
27. ↵
    Burdette JH, Elster AD, Ricci PE. Acute cerebral infarction: quantification of spin-density and T2 shine-through phenomena on diffusion-weighted MR images. Radiology 1999;212:333–39

    PubMedWeb of Science
28. ↵
    Tropine A, Dellani PD, Glaser M, et al. Differentiation of fibroblastic meningiomas from other benign subtypes using diffusion tensor imaging. J Magn Reson Imaging 2007;25:703–08

    CrossRefPubMed
29. ↵
    Kashimura H, Inoue T, Ogasawara K, et al. Prediction of meningioma consistency using fractional anisotropy value measured by magnetic resonance imaging. J Neurosurg 2007;107:784–87

    CrossRefPubMedWeb of Science
30. ↵
    Jeuken WM, Sprenger HE, Vermeer H, et al. Chromosomal imbalances in primary oligodendroglial tumors and their recurrences: clues about malignant progression detected using comparative genomic hybridization. J Neurosurg 2002;96:559–64

    PubMed
31. ↵
    Milosevic MF, Frost PJ, Laperriere NJ, et al. Radiotherapy for atypical or malignant intracranial meningioma. Int J Radiat Oncol Biol Phys 1996;34:817–22

    CrossRefPubMed
32. ↵
    Fulham MJ, Bizzi A, Dietz MJ, et al. Mapping of brain tumor metabolites with proton MR spectroscopic imaging: Clinical relevance. Radiology 1992;185:679–86
33. Tedeschi G, Lundbom N, Raman R, et al. Increased choline signal coinciding with malignant degeneration of cerebral gliomas: a serial proton magnetic resonance spectroscopy imaging study. J Neurosurg 1997;87:516–24

    PubMedWeb of Science
34. Fuss M, Wenz F, Essig M, et al. Tumor angiogenesis of low-grade astrocytomas measured by dynamic susceptibility contrast-enhanced MRI (DSC-MRI) is predictive of local tumor control after radiation therapy. Int J Radiation Oncology Biol Phys 2001;51:2:478–82
35. Law M, Oh S, Babb J, et al. Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging—Prediction of patient clinical response. Radiology 2006;238:658–67

    CrossRefPubMedWeb of Science
36. Floeth FW, Pauleit D, Sabel M, et al. Prognostic value of O-(2–18F-fluoroethyl)-Ltyrosine PET and MRI in low-grade glioma. J Nucl Med 2007;48:519–27

    Abstract/FREE Full Text
37. ↵
    Xu M, See SJ, Ng WH, et al. Comparison of magnetic resonance spectroscopy and perfusion weighted imaging in pre-surgical grading of oligodendroglial tumors. Neurosurgery 2005;56:919–26

    PubMedWeb of Science
38. ↵
    Shino A, Nakasu S, Matsuda M, et al. Noninvasive evaluation of the malignant potential of intracranial meningiomas performed using proton magnetic resonance spectroscopy. J Neurosurg 1999;91:928–34

    PubMed
39. ↵
    Lehnhardt F-G, Bock C, Rohn G, et al. Metabolic differences between primary and recurrent human brain tumors: a ¹H NMR spectroscopic investigation. NMR Biomed 2005;18:371–82

    CrossRefPubMedWeb of Science
40. ↵
    Yin H, Parmar H, Yeo TT, et al. Malignant transformation of oligendendroglioma: MR spectroscopy and diffusion-weighed MR imaging features. Eur J Radiol Extra 2004;49:1–6

    CrossRef
41. Inaoka T, Takahashi K, Miyokawa N, et al. Solitary fibrous tumor of the pleura: apparent diffusion coefficient (ADC) value and ADC map to predict malignant transformation. J Magn Reson Imaging 2007;26:155–58

    CrossRefPubMed
42. ↵
    Schubert MI, Wilke M, Muller-Weihrich S, et al. Diffusion-weighted magnetic resonance imaging of treatment-associated changes in recurrent and residual medulloblastoma: preliminary observations in three children. Acta Radiol 2006;47:1100–04

    CrossRefPubMedWeb of Science