Literature DB >> 23936983

Apparent diffusion coefficients in evaluation of pediatric brain tumors.

Lojana Tuntiyatorn1, Bordin Nantawas, Nongnuch Sirachainan, Nopadol Larbcharoensub, Anannit Visudtibhan, Suradej Hongeng.   

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.

Entities:  

Mesh:

Year:  2013        PMID: 23936983

Source DB:  PubMed          Journal:  J Med Assoc Thai        ISSN: 0125-2208


  3 in total

1.  Application of Apparent Diffusion Coefficient Histogram Metrics for Differentiation of Pediatric Posterior Fossa Tumors : A Large Retrospective Study and Brief Review of Literature.

Authors:  Fabrício Guimarães Gonçalves; Alireza Zandifar; Jorge Du Ub Kim; Luis Octavio Tierradentro-García; Adarsh Ghosh; Dmitry Khrichenko; Savvas Andronikou; Arastoo Vossough
Journal:  Clin Neuroradiol       Date:  2022-06-08       Impact factor: 3.649

2.  Multi-parametric effect in predicting tumor histological grade by using susceptibility weighted magnetic resonance imaging in tongue squamous cell carcinoma.

Authors:  Xing Yang; Jinyu Zhu; Yongming Dai; Zhen Tian; Gongxin Yang; Huimin Shi; Yingwei Wu; Xiaofeng Tao
Journal:  BMC Med Imaging       Date:  2019-03-12       Impact factor: 1.930

3.  Characterization of diffuse orbital mass using Apparent diffusion coefficient in 3-tesla MRI.

Authors:  Sahar M ElKhamary; Alicia Galindo-Ferreiro; Laila AlGhafri; Rajiv Khandekar; Silvana Artioli Schellini
Journal:  Eur J Radiol Open       Date:  2018-03-26
  3 in total

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