Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response

BA Moffat, TL Chenevert… - Proceedings of the …, 2005 - National Acad Sciences
BA Moffat, TL Chenevert, TS Lawrence, CR Meyer, TD Johnson, Q Dong, C Tsien…
Proceedings of the national academy of sciences, 2005National Acad Sciences
Assessment of radiation and chemotherapy efficacy for brain cancer patients is traditionally
accomplished by measuring changes in tumor size several months after therapy has been
administered. The ability to use noninvasive imaging during the early stages of fractionated
therapy to determine whether a particular treatment will be effective would provide an
opportunity to optimize individual patient management and avoid unnecessary systemic
toxicity, expense, and treatment delays. We investigated whether changes in the Brownian …
Assessment of radiation and chemotherapy efficacy for brain cancer patients is traditionally accomplished by measuring changes in tumor size several months after therapy has been administered. The ability to use noninvasive imaging during the early stages of fractionated therapy to determine whether a particular treatment will be effective would provide an opportunity to optimize individual patient management and avoid unnecessary systemic toxicity, expense, and treatment delays. We investigated whether changes in the Brownian motion of water within tumor tissue as quantified by using diffusion MRI could be used as a biomarker for early prediction of treatment response in brain cancer patients. Twenty brain tumor patients were examined by standard and diffusion MRI before initiation of treatment. Additional images were acquired 3 weeks after initiation of chemo- and/or radiotherapy. Images were coregistered to pretreatment scans, and changes in tumor water diffusion values were calculated and displayed as a functional diffusion map (fDM) for correlation with clinical response. Of the 20 patients imaged during the course of therapy, 6 were classified as having a partial response, 6 as stable disease, and 8 as progressive disease. The fDMs were found to predict patient response at 3 weeks from the start of treatment, revealing that early changes in tumor diffusion values could be used as a prognostic indicator of subsequent volumetric tumor response. Overall, fDM analysis provided an early biomarker for predicting treatment response in brain tumor patients.
National Acad Sciences