Chapman, C.H., Nagesh, V., Sundgren, P.C., et al. (2012) Diffusion tensor imaging of normal-appearing white matter as biomarker for radiation-induced late delayed cogni tive decline. International Journal of Radiation Oncology, Biology and Physics, 82, 2033-2040. doi:10.1016/j.ijrobp.2011.01.068

has been cited by the following article:

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

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

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

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.6 No.2, February 27, 2013

  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 ciculus 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 rs.