Blood volume of gliomas determined by double-echo dynamic perfusion-weighted MR imaging: a preliminary study.

BACKGROUND AND PURPOSE After bolus injection, gadopentetate dimeglumine causes a T2* rate change in permeable tissue that is contaminated by the T1 shortening effect due to the leakage of contrast agent. Therefore, tumor vascularity as reported in previous single-echo perfusion-weighted MR imaging studies has been underestimated. Our aim was to quantitatively and qualitatively evaluate the degree of blood volume of glioblastoma multiformes (GBMs) underestimated by this T1 shortening effect. METHODS We used double-echo dynamic MR imaging after a bolus injection of gadopentetate dimeglumine (double-echo perfusion-weighted MR imaging) to simultaneously determine tumor blood volume without (V(T1U)) and with (V(T1C)) T1 shortening correction. MR imaging was performed in five consecutive patients with GBMs. The ratios of V(T1U) and V(T1C) were calculated and compared by means of quantitative analysis. The degree of tumor blood volume as determined by V(T1U) and V(T1C) maps were qualitatively compared using a three-point scale. RESULTS All GBMs showed contrast enhancement on postcontrast T1-weighted images. In all subjects, the values of V(T1U) were significantly lower than those of V(T1C) (mean +/- SD, 2.05 +/- 1.01 vs. 3.62 +/- 1.40, respectively [P <.05]), indicating that tumor blood volume obtained by double-echo perfusion-weighted MR imaging was significantly higher than that by single-echo imaging. In the qualitative analysis, tumor blood volume on the V(T1U) map was less conspicuous than that on the V(T1C) map. CONCLUSION Careful attention should be paid to the underestimation of tumor blood volume resulting from T1 shortening effects when using single-echo perfusion-weighted MR imaging. Double-echo imaging may be more suitable for the analysis of blood volume in GBMs.

[1]  M Takahashi,et al.  Correlation of MR imaging-determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas. , 1998, AJR. American journal of roentgenology.

[2]  N. Hayashi,et al.  Assessment of radiotherapeutic effect on brain tumors by dynamic susceptibility contrast MR imaging: a preliminary report. , 1999, Radiation medicine.

[3]  K. Yamamoto,et al.  Vascularity of meningiomas and neuromas: assessment with dynamic susceptibility-contrast MR imaging. , 1994, AJR. American journal of roentgenology.

[4]  M A Viergever,et al.  Simultaneous quantitative cerebral perfusion and Gd‐DTPA extravasation measurement with dual‐echo dynamic susceptibility contrast MRI , 2000, Magnetic resonance in medicine.

[5]  J. Folkman,et al.  Tumor angiogenesis and metastasis--correlation in invasive breast carcinoma. , 1991, The New England journal of medicine.

[6]  M. Knopp,et al.  Effect of radiation on blood volume in low-grade astrocytomas and normal brain tissue: quantification with dynamic susceptibility contrast MR imaging. , 1996, AJR. American journal of roentgenology.

[7]  E F Halpern,et al.  Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. , 1994, Radiology.

[8]  W P Dillon,et al.  Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade. , 2000, AJNR. American journal of neuroradiology.

[9]  P Okunieff,et al.  Functional cerebral imaging in the evaluation and radiotherapeutic treatment planning of patients with malignant glioma. , 1994, International journal of radiation oncology, biology, physics.

[10]  C. Starmer,et al.  Indicator Transit Time Considered as a Gamma Variate , 1964, Circulation research.

[11]  M Takahashi,et al.  Perfusion-sensitive MRI of cerebral lymphomas: a preliminary report. , 1999, Journal of computer assisted tomography.

[12]  R. Henry,et al.  Comparison of relative cerebral blood volume and proton spectroscopy in patients with treated gliomas. , 2000, AJNR. American journal of neuroradiology.

[13]  G Johnson,et al.  Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging. , 1999, Radiology.

[14]  T. Miyati,et al.  Dual dynamic contrast‐enhanced MR imaging , 1997, Journal of magnetic resonance imaging : JMRI.

[15]  J C Waterton,et al.  Quantification of endothelial permeability, leakage space, and blood volume in brain tumors using combined T1 and T2* contrast‐enhanced dynamic MR imaging , 2000, Journal of magnetic resonance imaging : JMRI.

[16]  M Takahashi,et al.  Posttherapeutic intraaxial brain tumor: the value of perfusion-sensitive contrast-enhanced MR imaging for differentiating tumor recurrence from nonneoplastic contrast-enhancing tissue. , 2000, AJNR. American journal of neuroradiology.

[17]  P. Black,et al.  Microvessel density is a prognostic indicator for patients with astroglial brain tumors , 1996, Cancer.

[18]  J. Folkman,et al.  Tumor angiogenesis: a quantitative method for histologic grading. , 1972, Journal of the National Cancer Institute.

[19]  T Kubota,et al.  Tumor vascularity in the brain: evaluation with dynamic susceptibility-contrast MR imaging. , 1993, Radiology.

[20]  Y Yonekura,et al.  Vascular permeability: quantitative measurement with double-echo dynamic MR imaging--theory and clinical application. , 2000, Radiology.

[21]  D. Zagzag,et al.  Tenascin-C expression by angiogenic vessels in human astrocytomas and by human brain endothelial cells in vitro. , 1996, Cancer research.