Impact of perfusion map analysis on early survival prediction accuracy in glioma patients.
(2013) In Translational Oncology 6(6). p.766-774- Abstract
- Studies investigating dynamic susceptibility contrast magnetic resonance imaging-determined relative cerebral blood volume (rCBV) maps as a metric of treatment response assessment have generated conflicting results. We evaluated the potential of various analytical techniques to predict survival of patients with glioma treated with chemoradiation. rCBV maps were acquired in patients with high-grade gliomas at 0, 1, and 3 weeks into chemoradiation therapy. Various analytical techniques were applied to the same cohort of serial rCBV data for early assessment of survival. Three different methodologies were investigated: 1) percentage change of whole tumor statistics (i.e., mean, median, and percentiles), 2) physiological segmentation (low... (More)
- Studies investigating dynamic susceptibility contrast magnetic resonance imaging-determined relative cerebral blood volume (rCBV) maps as a metric of treatment response assessment have generated conflicting results. We evaluated the potential of various analytical techniques to predict survival of patients with glioma treated with chemoradiation. rCBV maps were acquired in patients with high-grade gliomas at 0, 1, and 3 weeks into chemoradiation therapy. Various analytical techniques were applied to the same cohort of serial rCBV data for early assessment of survival. Three different methodologies were investigated: 1) percentage change of whole tumor statistics (i.e., mean, median, and percentiles), 2) physiological segmentation (low rCBV, medium rCBV, or high rCBV), and 3) a voxel-based approach, parametric response mapping (PRM). All analyses were performed using the same tumor contours, which were determined using contrast-enhanced T1-weighted and fluid attenuated inversion recovery images. The predictive potential of each response metric was assessed at 1-year and overall survival. PRM was the only analytical approach found to generate a response metric significantly predictive of patient 1-year survival. Time of acquisition and contour volume were not found to alter the sensitivity of the PRM approach for predicting overall survival. We have demonstrated the importance of the analytical approach in early response assessment using serial rCBV maps. The PRM analysis shows promise as a unified early and robust imaging biomarker of treatment response in patients diagnosed with high-grade gliomas. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4290571
- author
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Translational Oncology
- volume
- 6
- issue
- 6
- pages
- 766 - 774
- publisher
- Neoplasia Press
- external identifiers
-
- wos:000330342400019
- pmid:24466380
- scopus:84891677854
- ISSN
- 1936-5233
- DOI
- 10.1593/tlo.13670
- language
- English
- LU publication?
- yes
- id
- 844917da-788b-491b-97a8-cccf245794c9 (old id 4290571)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/24466380?dopt=Abstract
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3890712/
- date added to LUP
- 2016-04-01 11:10:13
- date last changed
- 2022-01-26 05:56:05
@article{844917da-788b-491b-97a8-cccf245794c9, abstract = {{Studies investigating dynamic susceptibility contrast magnetic resonance imaging-determined relative cerebral blood volume (rCBV) maps as a metric of treatment response assessment have generated conflicting results. We evaluated the potential of various analytical techniques to predict survival of patients with glioma treated with chemoradiation. rCBV maps were acquired in patients with high-grade gliomas at 0, 1, and 3 weeks into chemoradiation therapy. Various analytical techniques were applied to the same cohort of serial rCBV data for early assessment of survival. Three different methodologies were investigated: 1) percentage change of whole tumor statistics (i.e., mean, median, and percentiles), 2) physiological segmentation (low rCBV, medium rCBV, or high rCBV), and 3) a voxel-based approach, parametric response mapping (PRM). All analyses were performed using the same tumor contours, which were determined using contrast-enhanced T1-weighted and fluid attenuated inversion recovery images. The predictive potential of each response metric was assessed at 1-year and overall survival. PRM was the only analytical approach found to generate a response metric significantly predictive of patient 1-year survival. Time of acquisition and contour volume were not found to alter the sensitivity of the PRM approach for predicting overall survival. We have demonstrated the importance of the analytical approach in early response assessment using serial rCBV maps. The PRM analysis shows promise as a unified early and robust imaging biomarker of treatment response in patients diagnosed with high-grade gliomas.}}, author = {{Lemasson, Benjamin and Chenevert, Thomas L and Lawrence, Theodore S and Tsien, Christina and Sundgren, Pia and Meyer, Charles R and Junck, Larry and Boes, Jennifer and Galbán, Stefanie and Johnson, Timothy D and Rehemtulla, Alnawaz and Ross, Brian D and Galbán, Craig J}}, issn = {{1936-5233}}, language = {{eng}}, number = {{6}}, pages = {{766--774}}, publisher = {{Neoplasia Press}}, series = {{Translational Oncology}}, title = {{Impact of perfusion map analysis on early survival prediction accuracy in glioma patients.}}, url = {{http://dx.doi.org/10.1593/tlo.13670}}, doi = {{10.1593/tlo.13670}}, volume = {{6}}, year = {{2013}}, }