Next Article in Journal
MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma in Mice
Previous Article in Journal
Sex Differences in Kidney Function and Metabolism Assessed Using Hyperpolarized [1-13C]Pyruvate Interleaved Spectroscopy and Nonspecific Imaging
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Tomography
Volume 6
Issue 1
10.18383/j.tom.2019.00023
tomography-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
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.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Assessment of the Prognostic Value of Radiomic Features in 18F-FMISO PET Imaging of Hypoxia in Postsurgery Brain Cancer Patients: Secondary Analysis of Imaging Data from a Single-Center Study and the Multicenter ACRIN 6684 Trial

by
Mark Muzi
1,*,
Eric Wolsztynski
2,4,
James R. Fink
1,
Janet N. O’Sullivan
2,
Finbarr O’Sullivan
2,
Kenneth A. Krohn
1 and
David A. Mankoff
3
1
Department of Radiology, University of Washington, Seattle, WA 98195, USA
2
Department of Statistics, University College, Cork, Ireland
3
Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
4
Insight Centre for Data Analytics, Cork, Ireland
*
Author to whom correspondence should be addressed.
Tomography 2020, 6(1), 14-22; https://doi.org/10.18383/j.tom.2019.00023
Submission received: 4 December 2019 / Revised: 8 January 2020 / Accepted: 10 February 2020 / Published: 1 March 2020
Versions Notes

Abstract

Hypoxia is associated with resistance to radiotherapy and chemotherapy in malignant gliomas, and it can be imaged by positron emission tomography with 18F-fluoromisonidazole (18F-FMISO). Previous results for patients with brain cancer imaged with 18F-FMISO at a single center before conventional chemoradiotherapy showed that tumor uptake via T/Bmax (tissue SUVmax/blood SUV) and hypoxic volume (HV) was associated with poor survival. However, in a multicenter clinical trial (ACRIN 6684), traditional uptake parameters were not found to be prognostically significant, but tumor SUVpeak did predict survival at 1 year. The present analysis considered both study cohorts to reconcile key differences and examine the potential utility of adding radiomic features as prognostic variables for outcome prediction on the combined cohort of 72 patients with brain cancer (30 University of Washington and 42 ACRIN 6684). We used both 18F-FMISO intensity metrics (T/Bmax, HV, SUV, SUVmax, SUVpeak) and assessed radiomic measures that determined first-order (histogram), second-order, and higher-order radiomic features of 18F-FMISO uptake distributions. A multivariate model was developed that included age, HV, and the intensity of 18F-FMISO uptake. HV and SUVpeak were both independent predictors of outcome for the combined data set (P < .001) and were also found significant in multivariate prognostic models (P < .002 and P < .001, respectively). Further model selection that included radiomic features showed the additional prognostic value for overall survival of specific higher order texture features, leading to an increase in relative risk prediction performance by a further 5%, when added to the multivariate clinical model..
Keywords: fluoromisonidazole; PET imaging; brain cancer; ACRIN 6684; radiomics fluoromisonidazole; PET imaging; brain cancer; ACRIN 6684; radiomics

Share and Cite

MDPI and ACS Style

Muzi, M.; Wolsztynski, E.; Fink, J.R.; O’Sullivan, J.N.; O’Sullivan, F.; Krohn, K.A.; Mankoff, D.A. Assessment of the Prognostic Value of Radiomic Features in 18F-FMISO PET Imaging of Hypoxia in Postsurgery Brain Cancer Patients: Secondary Analysis of Imaging Data from a Single-Center Study and the Multicenter ACRIN 6684 Trial. Tomography 2020, 6, 14-22. https://doi.org/10.18383/j.tom.2019.00023

AMA Style

Muzi M, Wolsztynski E, Fink JR, O’Sullivan JN, O’Sullivan F, Krohn KA, Mankoff DA. Assessment of the Prognostic Value of Radiomic Features in 18F-FMISO PET Imaging of Hypoxia in Postsurgery Brain Cancer Patients: Secondary Analysis of Imaging Data from a Single-Center Study and the Multicenter ACRIN 6684 Trial. Tomography. 2020; 6(1):14-22. https://doi.org/10.18383/j.tom.2019.00023

Chicago/Turabian Style

Muzi, Mark, Eric Wolsztynski, James R. Fink, Janet N. O’Sullivan, Finbarr O’Sullivan, Kenneth A. Krohn, and David A. Mankoff. 2020. "Assessment of the Prognostic Value of Radiomic Features in 18F-FMISO PET Imaging of Hypoxia in Postsurgery Brain Cancer Patients: Secondary Analysis of Imaging Data from a Single-Center Study and the Multicenter ACRIN 6684 Trial" Tomography 6, no. 1: 14-22. https://doi.org/10.18383/j.tom.2019.00023

APA Style

Muzi, M., Wolsztynski, E., Fink, J. R., O’Sullivan, J. N., O’Sullivan, F., Krohn, K. A., & Mankoff, D. A. (2020). Assessment of the Prognostic Value of Radiomic Features in 18F-FMISO PET Imaging of Hypoxia in Postsurgery Brain Cancer Patients: Secondary Analysis of Imaging Data from a Single-Center Study and the Multicenter ACRIN 6684 Trial. Tomography, 6(1), 14-22. https://doi.org/10.18383/j.tom.2019.00023

Article Metrics

Back to TopTop