Publication: Apparent diffusion coefficients in evaluation of pediatric brain tumors
Issued Date
2013-02-01
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01252208
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2-s2.0-84873929876
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Mahidol University
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SCOPUS
Bibliographic Citation
Journal of the Medical Association of Thailand. Vol.96, No.2 (2013), 178-184
Suggested Citation
Lojana Tuntiyatorn, Bordin Nantawas, Nongnuch Sirsachainan, Nopadol Larbcharoensub, Anannit Visudtibhan, Suradej Hongeng Apparent diffusion coefficients in evaluation of pediatric brain tumors. Journal of the Medical Association of Thailand. Vol.96, No.2 (2013), 178-184. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/32534
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Title
Apparent diffusion coefficients in evaluation of pediatric brain tumors
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Abstract
Background: MRI, which has high sensitivity in brain tumor detection, cannot reliably determine tumor grading or histology. Diffusion-weighted imaging and apparent diffusion coefficients (ADCs) provide information of tumor cellularity that can correlate with grading. Objective: To investigate ADCs in differentiation low-grade from high-grade pediatric brain tumors. Material and Method: Preoperative MRI, DWI, and ADC images of pediatric patients with pathologically proven brain tumors were retrospectively reviewed at a university hospital in two-year periods and classified into low-grade and high-grade categories. Regions of interest were placed manually at the center and periphery of the solid tumor regions, then ADC values were calculated at "b" values = 0, 1000 sec/mm2. Results: The ADC values were calculated in 15 patients, which included 12 males and three females with an age range from three to 14 years. Seven and eight were with low- and high-grade tumors respectively. The ADC values of low-grade tumors were markedly higher than those of high-grade tumors with statistically significant differences by all methods of measurements at the central, peripheral, and average areas on Man-Whitney U test, with p-values of 0.037, 0.009, and 0.021, respectively. Conclusion: MRI with ADCs for preoperative pediatric tumor evaluation may be useful for predicting tendency of tumor grading and surgical planning.