Grading glial tumors with amide proton transfer MR imaging: different analytical approaches

Amide proton transfer (APT) magnetic resonance imaging is gaining attention for its capability for grading glial tumors. Usually, a representative slice is analyzed. Different definitions of tumor areas have been employed in previous studies. We hypothesized that the accuracy of APT imaging for brai...

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Veröffentlicht in:Journal of neuro-oncology 2015-04, Vol.122 (2), p.339-348
Hauptverfasser: Sakata, Akihiko, Okada, Tomohisa, Yamamoto, Akira, Kanagaki, Mitsunori, Fushimi, Yasutaka, Okada, Tsutomu, Dodo, Toshiki, Arakawa, Yoshiki, Schmitt, Benjamin, Miyamoto, Susumu, Togashi, Kaori
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container_issue 2
container_start_page 339
container_title Journal of neuro-oncology
container_volume 122
creator Sakata, Akihiko
Okada, Tomohisa
Yamamoto, Akira
Kanagaki, Mitsunori
Fushimi, Yasutaka
Okada, Tsutomu
Dodo, Toshiki
Arakawa, Yoshiki
Schmitt, Benjamin
Miyamoto, Susumu
Togashi, Kaori
description Amide proton transfer (APT) magnetic resonance imaging is gaining attention for its capability for grading glial tumors. Usually, a representative slice is analyzed. Different definitions of tumor areas have been employed in previous studies. We hypothesized that the accuracy of APT imaging for brain tumor grading may depend upon the analytical methodology used, such as selection of regions of interest (ROIs), single or multiple tumor slices, and whether or not there is normalization to the contralateral white matter. This study was approved by the institutional review board, and written informed consent was waived. Twenty-six patients with histologically proven glial tumors underwent preoperative APT imaging with a three-dimensional gradient-echo sequence. Two neuroradiologists independently analyzed APT asymmetry (APTasym) images by placing ROIs on both a single representative slice (RS) and all slices including tumor (i.e. whole tumor: WT). ROIs indicating tumor extent were separately defined on both FLAIR and, if applicable, contrast-enhanced T1-weighted images (CE-T1WI), yielding four mean APTasym values (RS-FLAIR, WT-FLAIR, RS-CE-T1WI, and WT-CE-T1WI). The maximum values were also measured using small ROIs, and their differences among grades were evaluated. Receiver operating characteristic (ROC) curve analysis was also conducted on mean and maximum values. Intra-class correlation coefficients for inter-observer agreement were excellent. Significant differences were observed between high- and low-grade gliomas for all five methods ( P  
doi_str_mv 10.1007/s11060-014-1715-8
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ROIs indicating tumor extent were separately defined on both FLAIR and, if applicable, contrast-enhanced T1-weighted images (CE-T1WI), yielding four mean APTasym values (RS-FLAIR, WT-FLAIR, RS-CE-T1WI, and WT-CE-T1WI). The maximum values were also measured using small ROIs, and their differences among grades were evaluated. Receiver operating characteristic (ROC) curve analysis was also conducted on mean and maximum values. Intra-class correlation coefficients for inter-observer agreement were excellent. Significant differences were observed between high- and low-grade gliomas for all five methods ( P  &lt; 0.01). ROC curve analysis found no statistically significant difference among them. 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ROIs indicating tumor extent were separately defined on both FLAIR and, if applicable, contrast-enhanced T1-weighted images (CE-T1WI), yielding four mean APTasym values (RS-FLAIR, WT-FLAIR, RS-CE-T1WI, and WT-CE-T1WI). The maximum values were also measured using small ROIs, and their differences among grades were evaluated. Receiver operating characteristic (ROC) curve analysis was also conducted on mean and maximum values. Intra-class correlation coefficients for inter-observer agreement were excellent. Significant differences were observed between high- and low-grade gliomas for all five methods ( P  &lt; 0.01). ROC curve analysis found no statistically significant difference among them. 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subjects Adult
Aged
Aged, 80 and over
Area Under Curve
Brain - pathology
Brain Neoplasms - pathology
Clinical Study
Female
Glioma - pathology
Humans
Image Processing, Computer-Assisted
Imaging, Three-Dimensional - methods
Magnetic Resonance Imaging - methods
Male
Medicine
Medicine & Public Health
Middle Aged
Neoplasm Grading - methods
Neurology
Oncology
ROC Curve
Sensitivity and Specificity
Tumor Burden
Young Adult
title Grading glial tumors with amide proton transfer MR imaging: different analytical approaches
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