Unknown

Dataset Information

0

Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project.


ABSTRACT: BACKGROUND AND PURPOSE:Standard assessment criteria for brain tumors that only include anatomic imaging continue to be insufficient. While numerous studies have demonstrated the value of DSC-MR imaging perfusion metrics for this purpose, they have not been incorporated due to a lack of confidence in the consistency of DSC-MR imaging metrics across sites and platforms. This study addresses this limitation with a comparison of multisite/multiplatform analyses of shared DSC-MR imaging datasets of patients with brain tumors. MATERIALS AND METHODS:DSC-MR imaging data were collected after a preload and during a bolus injection of gadolinium contrast agent using a gradient recalled-echo-EPI sequence (TE/TR = 30/1200 ms; flip angle = 72°). Forty-nine low-grade (n = 13) and high-grade (n = 36) glioma datasets were uploaded to The Cancer Imaging Archive. Datasets included a predetermined arterial input function, enhancing tumor ROIs, and ROIs necessary to create normalized relative CBV and CBF maps. Seven sites computed 20 different perfusion metrics. Pair-wise agreement among sites was assessed with the Lin concordance correlation coefficient. Distinction of low- from high-grade tumors was evaluated with the Wilcoxon rank sum test followed by receiver operating characteristic analysis to identify the optimal thresholds based on sensitivity and specificity. RESULTS:For normalized relative CBV and normalized CBF, 93% and 94% of entries showed good or excellent cross-site agreement (0.8 ≤ Lin concordance correlation coefficient ≤ 1.0). All metrics could distinguish low- from high-grade tumors. Optimum thresholds were determined for pooled data (normalized relative CBV = 1.4, sensitivity/specificity = 90%:77%; normalized CBF = 1.58, sensitivity/specificity = 86%:77%). CONCLUSIONS:By means of DSC-MR imaging data obtained after a preload of contrast agent, substantial consistency resulted across sites for brain tumor perfusion metrics with a common threshold discoverable for distinguishing low- from high-grade tumors.

SUBMITTER: Schmainda KM 

PROVIDER: S-EPMC6002911 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project.

Schmainda K M KM   Prah M A MA   Rand S D SD   Liu Y Y   Logan B B   Muzi M M   Rane S D SD   Da X X   Yen Y-F YF   Kalpathy-Cramer J J   Chenevert T L TL   Hoff B B   Ross B B   Cao Y Y   Aryal M P MP   Erickson B B   Korfiatis P P   Dondlinger T T   Bell L L   Hu L L   Kinahan P E PE   Quarles C C CC  

AJNR. American journal of neuroradiology 20180524 6


<h4>Background and purpose</h4>Standard assessment criteria for brain tumors that only include anatomic imaging continue to be insufficient. While numerous studies have demonstrated the value of DSC-MR imaging perfusion metrics for this purpose, they have not been incorporated due to a lack of confidence in the consistency of DSC-MR imaging metrics across sites and platforms. This study addresses this limitation with a comparison of multisite/multiplatform analyses of shared DSC-MR imaging datas  ...[more]

Similar Datasets

| S-EPMC3513359 | biostudies-literature
2007-01-01 | GSE6292 | GEO
| S-EPMC9886257 | biostudies-literature
| S-EPMC4840950 | biostudies-literature
| S-EPMC5779623 | biostudies-literature
| S-EPMC4011550 | biostudies-literature
| S-EPMC8391559 | biostudies-literature
| S-EPMC4158667 | biostudies-literature
| S-EPMC5581673 | biostudies-literature