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Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge.

Authors :
Bell LC
Semmineh N
An H
Eldeniz C
Wahl R
Schmainda KM
Prah MA
Erickson BJ
Korfiatis P
Wu C
Sorace AG
Yankeelov TE
Rutledge N
Chenevert TL
Malyarenko D
Liu Y
Brenner A
Hu LS
Zhou Y
Boxerman JL
Yen YF
Kalpathy-Cramer J
Beers AL
Muzi M
Madhuranthakam AJ
Pinho M
Johnson B
Quarles CC
Source :
Tomography (Ann Arbor, Mich.) [Tomography] 2020 Jun; Vol. 6 (2), pp. 203-208.
Publication Year :
2020

Abstract

We have previously characterized the reproducibility of brain tumor relative cerebral blood volume (rCBV) using a dynamic susceptibility contrast magnetic resonance imaging digital reference object across 12 sites using a range of imaging protocols and software platforms. As expected, reproducibility was highest when imaging protocols and software were consistent, but decreased when they were variable. Our goal in this study was to determine the impact of rCBV reproducibility for tumor grade and treatment response classification. We found that varying imaging protocols and software platforms produced a range of optimal thresholds for both tumor grading and treatment response, but the performance of these thresholds was similar. These findings further underscore the importance of standardizing acquisition and analysis protocols across sites and software benchmarking.<br /> (© 2020 The Authors. Published by Grapho Publications, LLC.)

Details

Language :
English
ISSN :
2379-139X
Volume :
6
Issue :
2
Database :
MEDLINE
Journal :
Tomography (Ann Arbor, Mich.)
Publication Type :
Academic Journal
Accession number :
32548297
Full Text :
https://doi.org/10.18383/j.tom.2020.00012