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2005 Proceedings - ASNR

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Posters<br />

p < 0.05 level. The binormal receiver operating characteristic<br />

(ROC) curves for rCBV values were constructed to distinguish<br />

cutoff values.<br />

RESULTS<br />

The mean differences of rCBV values between low- (1.71 ±<br />

0.59) and high-grade tumors (5.01 ± 1.03) (p < 0.000); highgrade<br />

and metastases (2.45 ± 0.70) (p < 0.000); and lowgrade<br />

and metastases (p < 0.002) were significant. No clear<br />

cutoff value was present. The clear rCBV cutoff value of 1.9<br />

for differentiation low- (1.44 ± 0.23) vs high-grade (4.88 ±<br />

1.21) astrocytomas, 3.4 for differentiation low- (2.25 ± 0.73)<br />

vs high-grade (5.28 ± 0.48) oligodendrogliomas, and 3.8 for<br />

differentiation glioblastoma multiforme (5.72 ± 0.90) vs<br />

metastases was detected with the sensitivity of 100%, the<br />

specificity of 100%, and the accuracy of 100%. Although the<br />

mean differences between anaplastic astrocytoma (4.04 ±<br />

0.83) and anaplastic oligodendroglioma (p < 0.000);<br />

anaplastic astrocytoma and metastases (p < 0.000); and lowgrade<br />

astrocytoma and metastases (p < 0.05) were significant,<br />

no clear cutoff value was detected for exact differentiation.<br />

The rCBV values were correlated with degree of<br />

malignancy (r = 0.869, P < 0.000) and with tumor type (r =<br />

0.823, P < 0.000). The overall efficacy of rCBV calculation<br />

was higher in grading of glial tumors than in differentiation<br />

of high-grade glial tumors from metastases.<br />

CONCLUSION<br />

DSC perfusion imaging with rCBV calculation seemed quite<br />

effective in both the grading of malignant glial brain tumors<br />

and in the differentiation of high-grade glial tumors from<br />

solitary intraaxial metastasis. The astrocytomas and oligodendrogliomas<br />

have to be evaluated separately for exact<br />

grading.<br />

REFERENCES<br />

1. Aronen HJ, Gazit IE, Louis DN, et al. Cerebral blood volume<br />

maps of gliomas: comparison with tumor grade and histologic<br />

findings. Radiology 1994;191:41-51<br />

2. Lev MH, Ozsunar Y, Henson JW, et al. Glial tumor grading<br />

and outcome prediction using dynamic spin-echo MR susceptibility<br />

mapping compared with conventional contrastenhanced<br />

MR: confounding effect of elevated rCBV of oligodendrogliomas<br />

[corrected]. AJNR Am J Neuroradiol<br />

2004;25:214-221<br />

KEY WORDS: Brain-neoplasm, perfusion imaging, relative<br />

cerebral blood volume<br />

Poster 36<br />

Correlation of MR Perfusion Imaging and Vessel<br />

Tortuosity Parameters in Assessment of Intracranial<br />

Neoplasms<br />

Parikh, A. H. · Smith, J. K. · Ewend, M. · Bullitt, E.<br />

University of North Carolina at Chapel Hill<br />

Chapel Hill, NC<br />

PURPOSE<br />

To determine the correlation between tumor vessel tortuosity<br />

as measured from vessels extracted from MR angiograms<br />

(MRA) and perfusion parameters of cerebral blood flow<br />

(CBF) and cerebral blood volume (CBV) in intracranial neo-<br />

304<br />

plasms. We hypothesized that tumor blood vessel tortuosity<br />

measures and perfusion measures would be correlated, since<br />

both are increased by tumor angiogenesis.<br />

MATERIALS & METHODS<br />

Eighteen patients with 19 cerebral neoplasms were evaluated<br />

with conventional MR imaging and dynamic contrastenhanced<br />

T2-weighted perfusion MR imaging. Both benign<br />

and malignant lesions were included, as were hyper and<br />

hypovascular tumors. Regions of interest were plotted within<br />

the tumor area to locate foci of maximum CBV and CBF.<br />

Cerebral blood volume and CBF measurements were recorded<br />

also in contralateral normal appearing white matter to calculate<br />

relative CBV (rCBV) and relative CBF (rCBF). Vessel<br />

tortuosity analyses were conducted upon vessels segmented<br />

from MRA images of the same patients using two tortuosity<br />

descriptors (SOAM and ICM) which have been demonstrated<br />

previously to have efficacy in separating benign from<br />

malignant disease. Linear regression analyses were conducted<br />

to determine if correlations exist between CBV or CBF<br />

and the two tortuosity measurements.<br />

RESULTS<br />

For the overall set of tumors, no significant correlations were<br />

found between flow or volume measures and the tortuosity<br />

measures. However, when the 7 glioblastoma multiforme<br />

tumors were examined as a subgroup, the following significant<br />

correlations were found: rCBV and SOAM (R 2 = 0.799),<br />

rCBV and ICM (R 2 = 0.214).<br />

CONCLUSION<br />

Our results demonstrate that MR perfusion imaging data do<br />

not correlate significantly with vessel tortuosity parameters<br />

as determined from the larger vessels seen by MRA.<br />

However, for subgroups of a particular tumor type such as<br />

GBM, there may be significant correlations. It appears that<br />

perfusion and tortuosity data may provide independently<br />

useful data in the assessment of cerebral neoplasms.<br />

KEY WORDS: Intracranial neoplasm, MR perfusion imaging,<br />

vessel tortuosity<br />

Poster 37<br />

Relative Cerebral Blood Volume Ratios in the following<br />

of Posttherapeutic Glial Tumors<br />

Bulakbasi, N. · Ilkbahar, S. · Guvenc, I. · Kocaoglu, M. ·<br />

Tayfun, C. · Ucoz, T.<br />

Gulhane Military Medical Academy<br />

Ankara, TURKEY<br />

PURPOSE<br />

We aimed to determine the role of dynamic contrastenhanced<br />

perfusion MR imaging, using normalized relative<br />

blood volume (rCBV) in the evaluation of postoperative and<br />

radiotherapy-related changes of patients with glial tumors.<br />

MATERIALS & METHODS<br />

Twenty-four patients (13 male, 11 female, age range from 21<br />

to 67 years, mean 36.3 years) treated by surgery and radiotherapy<br />

with the diagnosis of glial tumors were included in<br />

this study. MR imaging was performed using a 1.5 T superconductive<br />

magnet with standard head coils. Conventional

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