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. 2006 Apr;27(4):853-8.

Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma?

Affiliations

Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma?

S J Mills et al. AJNR Am J Neuroradiol. 2006 Apr.

Abstract

Introduction: Noninvasive measurements of cerebral blood volume (CBV) and contrast transfer coefficient (K(trans)) have potential benefits in the diagnosis and therapeutic management of adult glioma. This study examines the relationship between CBV, K(trans), and overall survival.

Methods and materials: Twenty-seven adult patients with glioma underwent T1-weighted dynamic contrast-enhanced MR imaging, and parametric maps of CBV and K(trans) were calculated. The relationship of histologic grade, CBV, K(trans), age, sex, surgical resection, and use of adjuvant therapy to survival were analyzed by using the logrank method and Cox regression analysis. The Kaplan-Meier method for displaying survival curves was used. The relationship of factors such as comorbidity, elevated intracranial pressure, size of nonenhancing tumor, and peritumoral edema were not considered.

Results: Both CBV (P < .01) and K(trans) (P < .01) show a significant relationship to histologic grade. CBV (P = .004), K(trans) (P = .008), and histologic grade (P < .001) all demonstrate a significant association with patient survival when analyzed individually. Cox regression analysis identified only histologic grade (P < .01) and K(trans) (P < .05) as independent significant prognostic indicators. Examination of survival data from high-grade (III and IV) tumors demonstrated a linear relationship between K(trans) and patient survival (P < .01).

Conclusion: This study suggests a direct relationship between K(trans) and length of survival in high-grade gliomas, which could be of clinical importance. CBV relates directly to histologic grade but provides no independent prognostic information over and above that provided by grade. Further large prospective studies should be planned to test whether this observation holds true.

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Figures

Fig 1.
Fig 1.
A, Cerebral blood volume (CBV) versus patient survival for tumor grades II–IV (WHO classification). B, Ktrans versus patient survival for tumor grades II–IV (WHO classification).
Fig 2.
Fig 2.
A, Boxplots showing median, interquartile range (box), and extreme values of cerebral blood volume (CBV) for tumor grades II–IV (WHO classification). B, Boxplots showing median, interquartile range (box), and extreme values of Ktrans for tumor grades II–IV (WHO classification).
Fig 3.
Fig 3.
A, Kaplan Meier survival curve for histologic grade of tumor (according to WHO classification). B, Kaplan Meier survival curve for arbitrary groups of cerebral blood volume (CBV), irrespective of grade (group 1 [n = 6]; range, 0.60%–1.60%; group 2 [n = 7]; range, 1.88%–2.54%; group 3 [n = 7]; range, 2.80%–3.53%; group 4 [n = 7]; range, 3.56%–6.31%). C, Kaplan Meier survival curve for arbitrary groups of Ktrans, irrespective of grade (group 1 [n = 6]; range, 0.00017–0.00054 minutes−1; group 2 [n = 7]; range, 0.001–0.008 minutes−1; group 3 [n = 7]; range, 0.009–0.025 minutes−1; group 4 [n = 7]; range, 0.027–0.056 minutes−1).
Fig 4.
Fig 4.
Kaplan Meier survival curve for arbitrary groups of Ktrans in grade IV tumors only (group 1 [n = 5]; range, 0.0013–0.009 minutes−1; group 2 [n = 5]; range, 0.016–0.029 minutes−1; group 3 [n = 7]; range, 0.034–0.056 minutes−1).
Fig 5.
Fig 5.
Relationship of Ktrans with patient survival in high grade (III and IV) tumors. Linear regression shows increasing survival with increasing Ktrans (β = 0.556; R2 = 0.309; P < .01).

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