4.2 Article

The added value of the apparent diffusion coefficient calculation to magnetic resonance imaging in the differentiation and grading of malignant brain tumors

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JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
卷 28, 期 6, 页码 735-746

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LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/00004728-200411000-00003

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brain neoplasm; brain diffusion; magnetic resonance (MR) imaging; diffusion-weighted imaging; apparent diffusion coefficient

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Objective: ADC calculation can improve the diagnostic efficacy of MR imaging in brain tumor grading and differentiation. Methods: Apparent diffusion coefficient (ADC) values and ratios of 3 3 low-grade (23 astrocytomas, 10 oligodendrogliomas) and 40 high-grade (25 metastases and 15 high-grade astrocytomas) malignant tumors were prospectively evaluated. Results: Tumoral ADC values (r = -0.738, P < 0.000) and ratios (r = -0.746, P < 0.000) were well correlated with higher degree of malignancy and quite effective in grading of malignant brain tumors (P < 0.000). By using cutoff values of 0.99 for tumoral ADC value and 1.22 for normalized ADC ratio, the sensitivity of MR imaging could be increased from 72.22% to 93.75% and 90.63%, the specificity from 81.08% to 92.68% and 90.24%, PPV from 78.79% to 90.91% and 87.88%, and NPV from 75.00% to 95.00% and 92.50%, respectively. Conclusion: ADC calculation was quite effective in grading of malignant brain tumors but not in differentiation of them and added more information to conventional contrast-enhanced MR imaging.

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