Literature DB >> 18719036

Preoperative grading of presumptive low-grade astrocytomas on MR imaging: diagnostic value of minimum apparent diffusion coefficient.

E J Lee1, S K Lee, R Agid, J M Bae, A Keller, K Terbrugge.   

Abstract

BACKGROUND AND
PURPOSE: Histopathologic grade of glial tumors is inversely correlated with the minimum apparent diffusion coefficient (ADC). We assessed the diagnostic values of minimum ADC for preoperative grading of supratentorial astrocytomas that were diagnosed as low-grade astrocytomas on conventional MR imaging.
MATERIALS AND METHODS: Among 118 patients with astrocytomas (WHO grades II-IV), 16 who showed typical MR imaging findings of low-grade supratentorial astrocytomas on conventional MR imaging were included. All 16 patients underwent preoperative MR imaging and diffusion-weighted imaging. The minimum ADC value of each tumor was determined from several regions of interest in the tumor on ADC maps. To assess the relationship between the minimum ADC and tumor grade, we performed the Mann-Whitney U test. A receiver operating characteristic (ROC) analysis was used to determine the cutoff value of the minimum ADC that had the best combination of sensitivity and specificity for distinguishing low- and high-grade astrocytomas.
RESULTS: Eight of the 16 patients (50%) were confirmed as having high-grade astrocytomas (WHO grades III and IV), and the other 8 patients were confirmed as having low-grade astrocytomas (WHO grade II). The median minimum ADC of the high-grade astrocytoma (1.035 x 10(-3) mm(2) . sec(-1)) group was significantly lower than that of the low-grade astrocytoma group (1.19 x 10(-3) mm(2) . sec(-1)) (P = .021). According to the ROC analysis, the cutoff value of 1.055 x 10(-3) mm(2) . sec(-1) for the minimum ADC generated the best combination of sensitivity (87.5%) and specificity (79%) (P = .021).
CONCLUSION: Measuring minimum ADC can provide valuable diagnostic information for the preoperative grading of presumptive low-grade supratentorial astrocytomas.

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Year:  2008        PMID: 18719036      PMCID: PMC8118927          DOI: 10.3174/ajnr.A1254

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  27 in total

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2.  Minimum apparent diffusion coefficients in the evaluation of brain tumors.

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6.  MRI of high-grade astrocytic tumors: early appearance and evolution.

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9.  Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume.

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  50 in total

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2.  Diffusion-Weighted Imaging for Predicting and Monitoring Primary Central Nervous System Lymphoma Treatment Response.

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3.  MR imaging phenotype correlates with extent of genome-wide copy number abundance in IDH mutant gliomas.

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4.  Stretched-exponential model diffusion-weighted imaging as a potential imaging marker in preoperative grading and assessment of proliferative activity of gliomas.

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5.  Candidate biomarkers of extravascular extracellular space: a direct comparison of apparent diffusion coefficient and dynamic contrast-enhanced MR imaging--derived measurement of the volume of the extravascular extracellular space in glioblastoma multiforme.

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6.  MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas.

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Review 9.  Diffusion-weighted magnetic resonance imaging for tumour response assessment: why, when and how?

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10.  Evaluation of apparent diffusion coefficient thresholds for diagnosis of medulloblastoma using diffusion-weighted imaging.

Authors:  Theodore Thomas Pierce; James M Provenzale
Journal:  Neuroradiol J       Date:  2014-02-24
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