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Tomography
Volume 5
Issue 1
10.18383/j.tom.2018.00049
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Tomography is published by MDPI from Volume 7 Issue 1 (2021). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Grapho, LLC.
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Article

Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change

by
Thomas L. Chenevert
1,*,
Dariya I. Malyarenko
1,
Craig J. Galbán
1,
Diana M. Gomez-Hassan
1,
Pia C. Sundgren
2,
Christina I. Tsien
3 and
Brian D. Ross
1
1
Department of Radiology, University of Michigan Medical School, University of Michigan Hospitals, 1500 E. Medical Center Dr., UHB2 Room A209, Ann Arbor, MI 48109-5030, USA
2
Department of Clinical Sciences, Radiology Lund University, Lund, Sweden
3
Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA
*
Author to whom correspondence should be addressed.
Tomography 2019, 5(1), 7-14; https://doi.org/10.18383/j.tom.2018.00049
Submission received: 4 January 2019 / Revised: 7 January 2019 / Accepted: 6 February 2019 / Published: 1 March 2019
Versions Notes

Abstract

Noninvasive imaging methods are sought to objectively predict early response to therapy for high-grade glioma tumors. Quantitative metrics derived from diffusion-weighted imaging, such as apparent diffusion coefficient (ADC), have previously shown promise when used in combination with voxel-based analysis reflecting regional changes. The functional diffusion mapping (fDM) metric is hypothesized to be associated with volume of tumor exhibiting an increasing ADC owing to effective therapeutic action. In this work, the reference fDM-predicted survival (from previous study) for 3 weeks from treatment initiation (midtreatment) is compared to multiple histogram-based metrics using Kaplan–Meier estimator for 80 glioma patients stratified to responders and nonresponders based on the population median value for the given metric. The ADC histogram metric reflecting reduction in midtreatment volume of solid tumor (ADC < 1.25 × 10−3 mm2/s) by >8% population-median with respect to pretreatment is found to have the same predictive power as the reference fDM of increasing midtreatment ADC volume above 4%. This study establishes the level of correlation between fDM increase and low-ADC tumor volume shrinkage for prediction of early response to radiation therapy in patients with glioma malignancies.
Keywords: glioma therapy response; apparent diffusion coefficient; functional diffusion map; voxel-wise analysis; quantitative response metric glioma therapy response; apparent diffusion coefficient; functional diffusion map; voxel-wise analysis; quantitative response metric

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MDPI and ACS Style

Chenevert, T.L.; Malyarenko, D.I.; Galbán, C.J.; Gomez-Hassan, D.M.; Sundgren, P.C.; Tsien, C.I.; Ross, B.D. Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change. Tomography 2019, 5, 7-14. https://doi.org/10.18383/j.tom.2018.00049

AMA Style

Chenevert TL, Malyarenko DI, Galbán CJ, Gomez-Hassan DM, Sundgren PC, Tsien CI, Ross BD. Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change. Tomography. 2019; 5(1):7-14. https://doi.org/10.18383/j.tom.2018.00049

Chicago/Turabian Style

Chenevert, Thomas L., Dariya I. Malyarenko, Craig J. Galbán, Diana M. Gomez-Hassan, Pia C. Sundgren, Christina I. Tsien, and Brian D. Ross. 2019. "Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change" Tomography 5, no. 1: 7-14. https://doi.org/10.18383/j.tom.2018.00049

APA Style

Chenevert, T. L., Malyarenko, D. I., Galbán, C. J., Gomez-Hassan, D. M., Sundgren, P. C., Tsien, C. I., & Ross, B. D. (2019). Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change. Tomography, 5(1), 7-14. https://doi.org/10.18383/j.tom.2018.00049

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