Glioma: Application of Histogram Analysis of Pharmacokinetic Parameters from T1-Weighted Dynamic Contrast-Enhanced MR Imaging to Tumor Grading

References

1. 1.↵
   1. Kargiotis O,
   2. Rao JS,
   3. Kyritsis AP

   . Mechanisms of angiogenesis in gliomas. J Neurooncol 2006;78:281–93

   CrossRefPubMed
2. 2.↵
   1. Folkman J

   . What is the evidence that tumors are angiogenesis dependent? J Natl Cancer Inst 1990;82:4–6

   FREE Full Text
3. 3.↵
   1. Folkman J

   . The role of angiogenesis in tumor growth. Semin Cancer Biol 1992;3:65–71

   PubMed
4. 4.↵
   1. Wesseling P,
   2. Ruiter DJ,
   3. Burger PC

   . Angiogenesis in brain tumors; pathobiological and clinical aspects. J Neurooncol 1997;32:253–65

   CrossRefPubMed
5. 5.↵
   1. Less JR,
   2. Skalak TC,
   3. Sevick EM,
   4. et al

   . Microvascular architecture in a mammary carcinoma: branching patterns and vessel dimensions. Cancer Res 1991;51:265–73

   Abstract/FREE Full Text
6. 6.↵
   1. Wesseling P,
   2. van der Laak JA,
   3. de Leeuw H,
   4. et al

   . Quantitative immunohistological analysis of the microvasculature in untreated human glioblastoma multiforme: computer-assisted image analysis of whole-tumor sections. J Neurosurg 1994;81:902–09

   CrossRefPubMedWeb of Science
7. 7.↵
   1. Tate MC,
   2. Aghi MK

   . Biology of angiogenesis and invasion in glioma. Neurotherapeutics 2009;6:447–57

   CrossRefPubMedWeb of Science
8. 8.↵
   1. Jia Z,
   2. Geng D,
   3. Xie T,
   4. et al

   . Quantitative analysis of neovascular permeability in glioma by dynamic contrast-enhanced MR imaging. J Clin Neurosci 2012;19:820–23

   CrossRefPubMed
9. 9.↵
   1. Hakyemez B,
   2. Erdogan C,
   3. Ercan I,
   4. et al

   . High-grade and low-grade gliomas: differentiation by using perfusion MR imaging. Clin Radiol 2005;60:493–502

   CrossRefPubMed
10. 10.↵
    1. Awasthi R,
    2. Rathore RK,
    3. Soni P,
    4. et al

    . Discriminant analysis to classify glioma grading using dynamic contrast-enhanced MRI and immunohistochemical markers. Neuroradiology 2012;54:205–13

    CrossRefPubMedWeb of Science
11. 11.↵
    1. Provenzale JM,
    2. York G,
    3. Moya MG,
    4. et al

    . Correlation of relative permeability and relative cerebral blood volume in high-grade cerebral neoplasms. AJR Am J Roentgenol 2006;187:1036–42

    CrossRefPubMed
12. 12.↵
    1. Zhang Y,
    2. Wang J,
    3. Wang X,
    4. et al

    . Feasibility study of exploring a T(1)-weighted dynamic contrast-enhanced MR approach for brain perfusion imaging. J Magn Reson Imaging 2012;35:1322–31

    CrossRefPubMed
13. 13.↵
    1. Harrer JU,
    2. Parker GJ,
    3. Haroon HA,
    4. et al

    . Comparative study of methods for determining vascular permeability and blood volume in human gliomas. J Magn Reson Imaging 2004;20:748–57

    CrossRefPubMed
14. 14.↵
    1. Lüdemann L,
    2. Grieger W,
    3. Wurm R,
    4. et al

    . Quantitative measurement of leakage volume and permeability in gliomas, meningiomas and brain metastases with dynamic contrast-enhanced MRI. Magn Reson Imaging 2005;23:833–41

    CrossRefPubMed
15. 15.↵
    1. Mills SJ,
    2. Patankar TA,
    3. Haroon HA,
    4. et al

    . Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma? AJNR Am J Neuroradiol 2006;27:853–58

    Abstract/FREE Full Text
16. 16.↵
    1. Aref M,
    2. Chaudhari AR,
    3. Bailey KL,
    4. et al

    . Comparison of tumor histology to dynamic contrast enhanced magnetic resonance imaging-based physiological estimates. Magn Reson Imaging 2008;26:1279–93

    CrossRefPubMed
17. 17.↵
    1. Patankar TF,
    2. Haroon HA,
    3. Mills SJ,
    4. et al

    . Is volume transfer coefficient (K^trans) related to histologic grade in human gliomas? AJNR Am J Neuroradiol 2005;26:2455–65

    Abstract/FREE Full Text
18. 18.↵
    1. Roberts HC,
    2. Roberts TP,
    3. Brasch RC,
    4. et al

    . Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade. AJNR Am J Neuroradiol 2000;21:891–99

    Abstract/FREE Full Text
19. 19.↵
    1. Tofts PS,
    2. Brix G,
    3. Buckley DL,
    4. et al

    . Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 1999;10:223–32

    CrossRefPubMedWeb of Science
20. 20.↵
    1. Haroon HA,
    2. Buckley DL,
    3. Patankar TA,
    4. et al

    . A comparison of Ktrans measurements obtained with conventional and first pass pharmacokinetic models in human gliomas. J Magn Reson Imaging 2004;19:527–36

    CrossRefPubMed
21. 21.↵
    1. Tofts PS,
    2. Kermode AG

    . Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts. Magn Reson Med 1991;17:357–67

    CrossRefPubMedWeb of Science
22. 22.↵
    1. Haacke EM,
    2. Filleti CL,
    3. Gattu R,
    4. et al

    . New algorithm for quantifying vascular changes in dynamic contrast-enhanced MRI independent of absolute T1 values. Magn Reson Med 2007;58:463–72

    CrossRefPubMed
23. 23.↵
    1. Sundar H,
    2. Shen D,
    3. Biros G,
    4. et al

    . Robust computation of mutual information using spatially adaptive meshes. Med Image Comput Comput Assist Interv 2007;10(pt 1):950–58

    PubMed
24. 24.↵
    1. Pluim JP,
    2. Maintz JB,
    3. Viergever MA

    . Mutual-information-based registration of medical images: a survey. IEEE Trans Med Imaging 2003;22:986–1004

    CrossRefPubMedWeb of Science
25. 25.↵
    1. Bjornerud A

    . The ICE software package: direct co-registration of anatomical and functional datasets using DICOM image geometry information. Proc Hum Brain Mapping New York, New York, June 19–22, 2003;19
26. 26.↵
    1. Kang Y,
    2. Choi SH,
    3. Kim YJ,
    4. et al

    . Gliomas: histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging–correlation with tumor grade. Radiology 2011;261:882–90

    CrossRefPubMedWeb of Science
27. 27.↵
    1. Hauck WW,
    2. Miike R

    . A proposal for examining and reporting stepwise regressions. Stat Med 1991;10:711–15

    CrossRefPubMed
28. 28.↵
    1. Mills SJ,
    2. Soh C,
    3. O'Connor JP,
    4. et al

    . Enhancing fraction in glioma and its relationship to the tumoral vascular microenvironment: a dynamic contrast-enhanced MR imaging study. AJNR Am J Neuroradiol 2010;31:726–31

    Abstract/FREE Full Text
29. 29.↵
    1. Zhang N,
    2. Zhang L,
    3. Qiu B,
    4. et al

    . Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas. J Magn Reson Imaging 2012;36:355–63

    CrossRefPubMed
30. 30.↵
    1. Li KL,
    2. Zhu XP,
    3. Waterton J,
    4. et al

    . Improved 3D quantitative mapping of blood volume and endothelial permeability in brain tumors. J Magn Reson Imaging 2000;12:347–57

    CrossRefPubMed
31. 31.↵
    1. Zhu XP,
    2. Li KL,
    3. Kamaly-Asl ID,
    4. et al

    . Quantification of endothelial permeability, leakage space, and blood volume in brain tumors using combined T1 and T2* contrast-enhanced dynamic MR imaging. J Magn Reson Imaging 2000;11:575–85

    CrossRefPubMedWeb of Science