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

Chenevert, Thomas L ; Malyarenko, Dariya I ; Galbán, Craig J ; Gomez-Hassan, Diana M ; Sundgren, Pia C LU orcid ; Tsien, Christina I and Ross, Brian D (2019) In Tomography : a journal for imaging research 5(1). p.7-14
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... (More)

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.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Tomography : a journal for imaging research
volume
5
issue
1
pages
8 pages
publisher
Grapho Publications LLC
external identifiers
  • pmid:30854437
  • scopus:85071509299
ISSN
2379-1381
DOI
10.18383/j.tom.2018.00049
language
English
LU publication?
yes
id
ccb83305-1020-4335-ab26-3bd229ac15d3
date added to LUP
2019-05-22 08:54:07
date last changed
2024-04-02 03:13:34
@article{ccb83305-1020-4335-ab26-3bd229ac15d3,
  abstract     = {{<p>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 &lt; 1.25 × 10-3 mm2/s) by &gt;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.</p>}},
  author       = {{Chenevert, Thomas L and Malyarenko, Dariya I and Galbán, Craig J and Gomez-Hassan, Diana M and Sundgren, Pia C and Tsien, Christina I and Ross, Brian D}},
  issn         = {{2379-1381}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{7--14}},
  publisher    = {{Grapho Publications LLC}},
  series       = {{Tomography : a journal for imaging research}},
  title        = {{Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change}},
  url          = {{http://dx.doi.org/10.18383/j.tom.2018.00049}},
  doi          = {{10.18383/j.tom.2018.00049}},
  volume       = {{5}},
  year         = {{2019}},
}