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A comprehensive preclinical assessment of late-term imaging markers of radiation-induced brain injury.

Tien T Tang | Janice A Zawaski | Shelli R Kesler | Christine A Beamish | Wilburn E Reddick | John O Glass | Darrell H Carney | Omaima M Sabek | David R Grosshans | M Waleed Gaber
Neuro-oncology advances | 2019

Cranial radiotherapy (CRT) is an important part of brain tumor treatment, and although highly effective, survivors suffer from long-term cognitive side effects. In this study we aim to establish late-term imaging markers of CRT-induced brain injury and identify functional markers indicative of cognitive performance. Specifically, we aim to identify changes in executive function, brain metabolism, and neuronal organization.

Pubmed ID: 31608330

Research resources used in this publication

None found

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Antibodies used in this publication

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: HHSN261201300076C
  • Agency: NCI NIH HHS, United States
    Id: R01 CA208535

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This is a list of tools and resources that we have found mentioned in this publication.


MRI Studio (tool)

RRID:SCR_001398

An image processing program running under Windows suitable for such tasks as tensor calculation, color mapping, fiber tracking, and 3D visualization. Most of operations can be done with only a few clicks. This tool evolved from DTI Studio. Tools in the program can be grouped in the following way: * Image Viewer * Diffusion Tensor Calculations * Fiber Tracking and Editing * 3D Visualization * Image File Management * Region of Interesting (ROI) Drawing and Statistics * Image Registration

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PRISM (tool)

RRID:SCR_005375

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.

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SD (tool)

RRID:RGD_70508

Rattus norvegicus with name SD from RGD.

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