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      Identifying Recurrent Malignant Glioma after Treatment Using Amide Proton Transfer-Weighted MR Imaging: A Validation Study with Image-Guided Stereotactic Biopsy

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          Abstract

          Purpose:

          To quantify the accuracy of amide proton transfer-weighted (APTw) MRI for identifying active glioma post-treatment via radiographically guided stereotactic tissue validation.

          Experimental Design:

          Twenty-one patients referred for surgery for MRI features concerning for tumor progression versus treatment effect underwent pre-operative APTw imaging. Stereotactic biopsies were taken from regions of interest with varying APTw signal intensities. The relationship between final clinical pathology as well as the histopathology of each of the 64 specimens was analyzed relative to APTw results. Analysis of confirmed recurrent tumor or treatment effect tissue was used to perform receiver-operating-characteristic (ROC) analysis.

          Results:

          Eighteen of 21 patients had recurrent tumor, and 3 had treatment effect on clinical pathology. In 12 patients, there were multiple histopathologic assignments confirmed within the same tumor. Of the 64 total specimens, 20 specimens were active glioma, 27 mixed active and quiescent glioma, and 17 quiescent/no identifiable tumor. APTw signal intensity and histopathologic assignment, cellularity, and proliferation index had significant positive correlations ( R = 0.651, 0.580, and 0.458, respectively; all P < 0.001). ROC analysis with a 1.79% APTw intensity cutoff differentiated active from non-active tumor (AUC of 0.881) with 85.1% sensitivity and 94.1% specificity. Analysis of clinical pathology showed the mean APTw intensity for each patient had 94.4% sensitivity and 100% positive predictive value for identifying recurrent glioma at this cutoff.

          Conclusions:

          APTw imaging hyperintensity may be a marker of active malignant glioma. It is able to distinguish between regions of heterogeneous abnormality on anatomical brain MRI with high sensitivity and specificity.

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          Author and article information

          Journal
          9502500
          8794
          Clin Cancer Res
          Clin. Cancer Res.
          Clinical cancer research : an official journal of the American Association for Cancer Research
          1078-0432
          30 October 2018
          26 October 2018
          15 January 2019
          15 January 2020
          : 25
          : 2
          : 552-561
          Affiliations
          [1 ]Departments of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
          [2 ]Departments of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
          [3 ]Departments of Neurosurgery,Johns Hopkins University, Baltimore, Maryland, USA
          [4 ]Departments of Neurology,Johns Hopkins University, Baltimore, Maryland, USA
          [5 ]Departments of Oncology, Johns Hopkins University, Baltimore, Maryland, USA
          [6 ]Departments of Neuroscience, Johns Hopkins University, Baltimore, Maryland, USA
          [7 ]Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
          [8 ]F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
          Author notes
          Corresponding Authors: Jinyuan Zhou, Ph.D., Department of Radiology, Johns Hopkins University, 600 N. Wolfe Street, Park 336, Baltimore, MD 21287, USA. Phone: (410) 955-7491, Fax: (410) 614-1977, jzhou@ 123456mri.jhu.edu , or Jaishri Blakeley, M.D., Department of Neurology, Johns Hopkins University, 1550 Orleans Street, Suite 1M16, Baltimore, MD 21231, USA. Phone: (410) 502-3378, jblakel3@ 123456jhmi.edu.
          Article
          PMC6335169 PMC6335169 6335169 nihpa1511006
          10.1158/1078-0432.CCR-18-1233
          6335169
          30366937
          7fa36fcb-c786-435b-91b2-511f87ace52e
          History
          Categories
          Article

          biomarker,APT-weighted MRI,recurrent glioma,treatment effect,image-guided biopsy

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