Radiation therapy (RT) is a major treatment modality for primary and metastatic brain neoplasms. Radiation-induced neurotoxicity is a limiting factor for brain RT. Clinical symptoms can occur acutely and subacutely after brain irradiation, but most devastated neurotoxicity manifests of late neurological sequelae, including neurocognitve dysfunction, and white matter degeneration and necrosis. Given the delayed nature of neurotoxicity, it would be important to develop biomarkers, including derived from in vivo functional and molecular imaging, for early assessment of individual sensitivity to radiation and prediction of late neurotoxicity. Radiation-induced cerebral tissue injury is a complex and dynamic process, and involves in multiple tissue compartments. Cerebral vascular injury, which has been long considered to be crucial important for the development of cerebral tissue toxicity, occurs early after irradiation. White matter degeneration, including demyelination and necrosis, is progressive over time after brain irradiation. In this study, using in vivo dynamic-contrast-enhanced magnetic resonance imaging and diffusion tensor imaging, we aim to detect early alternations in cerebral vasculature and white matter tissue in the patients who have low-grade glioma or benign tumors and undergo fractionated partial brain RT. Also, we aim to determine the bio-dosimetric effects, including total dose and dose-volume, on the alterations of cerebral vasculature and white matter.
We aim to assess neurocognitve function in the patients from pre RT up to 2 years post RT, and to determine correlative relationships of early cerebral vascular injury and early delayed white matter degradation with late neurocognitive dysfunction. We hypothesize that early monitoring of changes in cerebral microvessels and tissue degeneration in response to fractionated RT would allow us to predict late neurocognitive deficits.
Radiation therapy is a major treatment modality for brain tumor. However, radiation can generate neurological complications after treatment. This study aims to identify early signs of complications using functional imaging, thereby to reduce radiation complications by advanced radiation technologies and/or therapeutic intervention.
|Chapman, Christopher H; Zhu, Tong; Nazem-Zadeh, Mohamad et al. (2016) Diffusion tensor imaging predicts cognitive function change following partial brain radiotherapy for low-grade and benign tumors. Radiother Oncol 120:234-40|
|Zhu, Tong; Chapman, Christopher H; Tsien, Christina et al. (2016) Effect of the Maximum Dose on White Matter Fiber Bundles Using Longitudinal Diffusion Tensor Imaging. Int J Radiat Oncol Biol Phys 96:696-705|
|Aryal, Madhava P; Chenevert, Thomas L; Cao, Yue (2016) Impact of uncertainty in longitudinal T1 measurements on quantification of dynamic contrast-enhanced MRI. NMR Biomed 29:411-9|
|Pramanik, Priyanka P; Parmar, Hemant A; Mammoser, Aaron G et al. (2015) Hypercellularity Components of Glioblastoma Identified by High b-Value Diffusion-Weighted Imaging. Int J Radiat Oncol Biol Phys 92:811-9|
|Farjam, Reza; Pramanik, Priyanka; Aryal, Madhava P et al. (2015) A Radiation-Induced Hippocampal Vascular Injury Surrogate Marker Predicts Late Neurocognitive Dysfunction. Int J Radiat Oncol Biol Phys 93:908-15|
|Kim, Michelle M; Lawrence, Theodore S; Cao, Yue (2015) Advances in Magnetic Resonance and Positron Emission Tomography Imaging: Assessing Response in the Treatment of Low-Grade Glioma. Semin Radiat Oncol 25:172-80|
|Farjam, Reza; Tsien, Christina I; Lawrence, Theodore S et al. (2014) DCE-MRI defined subvolumes of a brain metastatic lesion by principle component analysis and fuzzy-c-means clustering for response assessment of radiation therapy. Med Phys 41:011708|
|Tsien, Christina; Cao, Yue; Chenevert, Thomas (2014) Clinical applications for diffusion magnetic resonance imaging in radiotherapy. Semin Radiat Oncol 24:218-26|
|Farjam, Reza; Tsien, Christina I; Feng, Felix Y et al. (2014) Investigation of the diffusion abnormality index as a new imaging biomarker for early assessment of brain tumor response to radiation therapy. Neuro Oncol 16:131-9|
|Nazem-Zadeh, Mohammad-Reza; Chapman, Christopher H; Chenevert, Thomas et al. (2014) Response-driven imaging biomarkers for predicting radiation necrosis of the brain. Phys Med Biol 59:2535-47|
Showing the most recent 10 out of 26 publications