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Li Z, Peck KK, Brennan NP, et al. Diffusion tensor tractography of the arcuate fasciculus in patients with brain tumors: Comparison between deterministic and probabilistic models. J Biomed Sci Eng. 2013;6(2):192-200doi: 10.4236/jbise.2013.62023.
Li, Z., Peck, K. K., Brennan, N. P., Jenabi, M., Hsu, M., Zhang, Z., Holodny, A. I., & Young, R. J. (2013). Diffusion tensor tractography of the arcuate fasciculus in patients with brain tumors: Comparison between deterministic and probabilistic models. Journal of biomedical science and engineering, 6(2), 192-200. https://doi.org/10.4236/jbise.2013.62023
Li, Zhixi, et al. "Diffusion tensor tractography of the arcuate fasciculus in patients with brain tumors: Comparison between deterministic and probabilistic models." Journal of biomedical science and engineering vol. 6,2 (2013): 192-200. doi: https://doi.org/10.4236/jbise.2013.62023
Li Z, Peck KK, Brennan NP, Jenabi M, Hsu M, Zhang Z, Holodny AI, Young RJ. Diffusion tensor tractography of the arcuate fasciculus in patients with brain tumors: Comparison between deterministic and probabilistic models. J Biomed Sci Eng. 2013 Feb;6(2):192-200. doi: 10.4236/jbise.2013.62023. PMID: 25328583; PMCID: PMC4199232.
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J Biomed Sci Eng. 2013 Feb;6(2):192-200. doi: 10.4236/jbise.2013.62023.

Diffusion tensor tractography of the arcuate fasciculus in patients with brain tumors: Comparison between deterministic and probabilistic models.

Journal of biomedical science and engineering

Zhixi Li, Kyung K Peck, Nicole P Brennan, Mehrnaz Jenabi, Meier Hsu, Zhigang Zhang, Andrei I Holodny, Robert J Young

Affiliations

  1. Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, USA.
  2. Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, USA ; Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, USA.
  3. Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, USA.
  4. Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, USA ; Brain Tumor Center, Memorial Sloan-Kettering Cancer Center, New York, USA.

PMID: 25328583 PMCID: PMC4199232 DOI: 10.4236/jbise.2013.62023

Abstract

PURPOSE: The purpose of this study was to compare the deterministic and probabilistic tracking methods of diffusion tensor white matter fiber tractography in patients with brain tumors.

MATERIALS AND METHODS: We identified 29 patients with left brain tumors <2 cm from the arcuate fasciculus who underwent pre-operative language fMRI and DTI. The arcuate fasciculus was reconstructed using a deterministic Fiber Assignment by Continuous Tracking (FACT) algorithm and a probabilistic method based on an extended Monte Carlo Random Walk algorithm. Tracking was controlled using two ROIs corresponding to Broca's and Wernicke's areas. Tracts in tumoraffected hemispheres were examined for extension between Broca's and Wernicke's areas, anterior-posterior length and volume, and compared with the normal contralateral tracts.

RESULTS: Probabilistic tracts displayed more complete anterior extension to Broca's area than did FACT tracts on the tumor-affected and normal sides (p < 0.0001). The median length ratio for tumor: normal sides was greater for probabilistic tracts than FACT tracts (p < 0.0001). The median tract volume ratio for tumor: normal sides was also greater for probabilistic tracts than FACT tracts (p = 0.01).

CONCLUSION: Probabilistic tractography reconstructs the arcuate fasciculus more completely and performs better through areas of tumor and/or edema. The FACT algorithm tends to underestimate the anterior-most fibers of the arcuate fasciculus, which are crossed by primary motor fibers.

Keywords: Arcuate Fasciculus; Brain Tumors; DTI; Diffusion Tensor Imaging; FACT; Probabilistic; Tractography

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