The Feasibility of Integrating Resting-State fMRI Networks into Radiotherapy Treatment Planning
Name:
Publisher version
View Source
Access full-text PDFOpen Access
View Source
Check access options
Check access options
Date
2019Journal
Journal of Medical Imaging and Radiation SciencesPublisher
Elsevier Inc.Type
Article
Metadata
Show full item recordAbstract
Background: Functional magnetic resonance imaging (fMRI) presents the ability to selectively protect functionally significant regions of the brain when primary brain tumors are treated with radiation therapy. Previous research has focused on task-based fMRI of language and sensory networks; however, there has been limited investigation on the inclusion of resting-state fMRI into the design of radiation treatment plans. Methods and materials: In this pilot study of 9 patients with primary brain tumors, functional data from the default mode network (DMN), a network supporting cognitive functioning, was obtained from resting-state fMRI and retrospectively incorporated into the design of radiation treatment plans. We compared the dosimetry of these fMRI DMN avoidance treatment plans with standard of care treatment plans to demonstrate feasibility. In addition, we used normal tissue complication probability models to estimate the relative benefit of fMRI DMN avoidance treatment plans over standard of care treatment plans in potentially reducing memory loss, a surrogate for cognitive function. Results: On average, we achieved 20% (P = 0.002) and 12% (P = 0.002) reductions in the mean and maximum doses, respectively, to the DMN without compromising the dose coverage to the planning tumor volume or the dose-volume constraints to organs at risk. Normal tissue complication probability models revealed that when the fMRI DMN was considered during radiation treatment planning, the probability of developing memory loss was lowered by more than 20%. Conclusion: In this pilot study, we demonstrated the feasibility of including rs-MRI data into the design of radiation treatment plans to spare cognitively relevant brain regions during radiation therapy. These results lay the groundwork for future clinical trials that incorporate such treatment planning methods to investigate the long-term behavioral impact of this reduction in dose to the cognitive areas and their neural networks that support cognitive performance.Identifier to cite or link to this item
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056397003&doi=10.1016%2fj.jmir.2018.09.003&partnerID=40&md5=c8c2320426216d6b6b7dafc3e9333fe1; http://hdl.handle.net/10713/10780ae974a485f413a2113503eed53cd6c53
10.1016/j.jmir.2018.09.003
Scopus Count
Collections
Related articles
- Feasibility study of intensity-modulated radiotherapy (IMRT) treatment planning using brain functional MRI.
- Authors: Chang J, Kowalski A, Hou B, Narayana A
- Issue date: 2008 Spring
- Dosimetric study of different radiotherapy planning approaches for hippocampal avoidance whole-brain radiation therapy (HA-WBRT) based on fused CT and MRI imaging.
- Authors: Wang BH, Hua W, Gu X, Wang XL, Li J, Liu LQ, Huang YX
- Issue date: 2015 Dec
- Integration of Diffusion Magnetic Resonance Tractography into tomotherapy radiation treatment planning for high-grade gliomas.
- Authors: Altabella L, Broggi S, Mangili P, Conte GM, Pieri V, Iadanza A, Del Vecchio A, Anzalone N, di Muzio N, Calandrino R, Falini A, Castellano A
- Issue date: 2018 Nov
- Integrating functional MRI information into radiotherapy planning of CNS tumors-early experiences.
- Authors: Kovács A, Tóth L, Glavák C, Lakosi F, Hadjiev J, Bajzik G, Vandulek C, Repa I
- Issue date: 2011 Jun
- A potential biomarker in sports-related concussion: brain functional connectivity alteration of the default-mode network measured with longitudinal resting-state fMRI over thirty days.
- Authors: Zhu DC, Covassin T, Nogle S, Doyle S, Russell D, Pearson RL, Monroe J, Liszewski CM, DeMarco JK, Kaufman DI
- Issue date: 2015 Mar 1