Parametric Response Mapping of FLAIR MRI Provides an Early Indication of Progression Risk in Glioblastoma

被引:6
作者
Hoff, Benjamin A. [1 ]
Lemasson, Benjamin [2 ]
Chenevert, Thomas L. [1 ]
Luker, Gary D. [1 ]
Tsien, Christina I. [3 ]
Amouzandeh, Ghoncheh [1 ]
Johnson, Timothy D. [4 ]
Ross, Brian D. [1 ]
机构
[1] Univ Michigan, Ctr Mol Imaging, Dept Radiol, Ann Arbor, MI 48109 USA
[2] Univ Grenoble Alpes, Grenoble Inst Neurosci, Inserm, U1216, F-38000 Grenoble, France
[3] Johns Hopkins Univ, Dept Radiat Oncol & Mol Radiat Sci, Baltimore, MD USA
[4] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA
关键词
FLAIR-MRI; PRM; Glioma; Response; Progression; FUNCTIONAL DIFFUSION MAP; PHASE-II TRIAL; IMAGING BIOMARKER; BREAST-CANCER; THERAPEUTIC-EFFICACY; TUMOR; GLIOMA; FEASIBILITY; SURVIVAL; PREDICT;
D O I
10.1016/j.acra.2020.08.015
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Rationale and Objectives: Glioblastoma image evaluation utilizes Magnetic Resonance Imaging contrast-enhanced, T1-weighted, and noncontrast T2-weighted fluid-attenuated inversion recovery (FLAIR) acquisitions. Disease progression assessment relies on changes in tumor diameter, which correlate poorly with survival. To improve treatment monitoring in glioblastoma, we investigated serial voxel-wise comparison of anatomically-aligned FLAIR signal as an early predictor of GBM progression. Materials and Methods: We analyzed longitudinal normalized FLAIR images (rFLAIR) from 52 subjects using voxel-wise Parametric Response Mapping (PRM) to monitor volume fractions of increased (PRMrFLAIR+), decreased (PRMrFLAIR-), or unchanged (PRMrFLAIR0) rFLAIR intensity. We determined response by rFLAIR between pretreatment and 10 weeks posttreatment. Risk of disease progression in a subset of subjects (N = 26) with stable disease or partial response as defined by Response Assessment in Neuro-Oncology (RANO) criteria was assessed by PRMrFLAIR between weeks 10 and 20 and continuously until the PRMrFLAIR+ exceeded a defined threshold. RANO defined criteria were compared with PRM-derived outcomes for tumor progression detection. Results: Patient stratification for progression-free survival (PFS) and overall survival (OS) was achieved at week 10 using RANO criteria (PFS: p <0.0001; OS: p <0.0001), relative change in FLAIR-hyperintense volume (PFS: p = 0.0011; OS: p <0.0001), and PRMrFLAIR+ (PFS: p <0.01; OS: p <0.001). PRMrFLAIR+ also stratified responding patients' progression between weeks 10 and 20 (PFS: p <0.05; OS: p = 0.01) while changes in FLAIR-volume measurements were not predictive. As a continuous evaluation, PRMrFLAIR+ exceeding 10% stratified patients for PFA after 5.6 months (p<0.0001), while RANO criteria did not stratify patients until 15.4 months (p <0.0001). Conclusion: PRMrFLAIR may provide an early biomarker of disease progression in glioblastoma.
引用
收藏
页码:1711 / 1720
页数:10
相关论文
共 62 条
[51]   The Longitudinal Imaging Tracker (BrICS-LIT): A Cloud Platform for Monitoring Treatment Response in Glioblastoma Patients [J].
Ramesh, Karthik ;
Gurbani, Saumya S. ;
Mellon, Eric A. ;
Huang, Vicki ;
Goryawala, Mohammed ;
Barkers, Peter B. ;
Kleinberg, Lawrence ;
Shu, Hui-Kuo G. ;
Shim, Hyunsuk ;
Weinberg, Brent D. .
TOMOGRAPHY, 2020, 6 (02) :93-100
[52]   Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps [J].
Reimer, Caroline ;
Deike, Katerina ;
Graf, Markus ;
Reimer, Peter ;
Wiestler, Benedikt ;
Floca, Ralf Omar ;
Kickingereder, Philipp ;
Schlemmer, Heinz-Peter ;
Wick, Wolfgang ;
Bendszus, Martin ;
Radbruch, Alexander .
PLOS ONE, 2017, 12 (04)
[53]  
Ross Brian D, 1994, Q Magn Reson Biol Med, V1, P89
[54]   Response Assessment in Neuro-Oncology criteria, contrast enhancement and perfusion MRI for assessing progression in glioblastoma [J].
Tensaouti, Fatima ;
Khalifa, Jonathan ;
Lusque, Amelie ;
Plas, Benjamin ;
Lotterie, Jean Albert ;
Berry, Isabelle ;
Laprie, Anne ;
Moyal, Elizabeth Cohen-Jonathan ;
Lubrano, Vincent .
NEURORADIOLOGY, 2017, 59 (10) :1013-1020
[55]   Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy [J].
Theilmann, RJ ;
Borders, R ;
Trouard, TP ;
Xia, GW ;
Outwater, E ;
Ranger-Moore, J ;
Gillies, RJ ;
Stopeck, A .
NEOPLASIA, 2004, 6 (06) :831-837
[56]   Parametric Response Map As an Imaging Biomarker to Distinguish Progression From Pseudoprogression in High-Grade Glioma [J].
Tsien, Christina ;
Galban, Craig J. ;
Chenevert, Thomas L. ;
Johnson, Timothy D. ;
Hamstra, Daniel A. ;
Sundgren, Pia C. ;
Junck, Larry ;
Meyer, Charles R. ;
Rehemtulla, Alnawaz ;
Lawrence, Theodore ;
Ross, Brian D. .
JOURNAL OF CLINICAL ONCOLOGY, 2010, 28 (13) :2293-2299
[57]   Randomized Phase II Trial of Erlotinib Versus Temozolomide or Carmustine in Recurrent Glioblastoma: EORTC Brain Tumor Group Study 26034 [J].
van den Bent, Martin J. ;
Brandes, Alba A. ;
Rampling, Roy ;
Kouwenhoven, Mathilde C. M. ;
Kros, Johan M. ;
Carpentier, Antoine F. ;
Clement, Paul M. ;
Frenay, Marc ;
Campone, Mario ;
Baurain, Jean-Francois ;
Armand, Jean-Paul ;
Taphoorn, Martin J. B. ;
Tosoni, Alicia ;
Kletzl, Heidemarie ;
Klughammer, Barbara ;
Lacombe, Denis ;
Gorlia, Thierry .
JOURNAL OF CLINICAL ONCOLOGY, 2009, 27 (08) :1268-1274
[58]   Malignant gliomas in adults [J].
Wen, Patrick Y. ;
Kesari, Santosh .
NEW ENGLAND JOURNAL OF MEDICINE, 2008, 359 (05) :492-507
[59]   Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group [J].
Wen, Patrick Y. ;
Macdonald, David R. ;
Reardon, David A. ;
Cloughesy, Timothy F. ;
Sorensen, A. Gregory ;
Galanis, Evanthia ;
DeGroot, John ;
Wick, Wolfgang ;
Gilbert, Mark R. ;
Lassman, Andrew B. ;
Tsien, Christina ;
Mikkelsen, Tom ;
Wong, Eric T. ;
Chamberlain, Marc C. ;
Stupp, Roger ;
Lamborn, Kathleen R. ;
Vogelbaum, Michael A. ;
van den Bent, Martin J. ;
Chang, Susan M. .
JOURNAL OF CLINICAL ONCOLOGY, 2010, 28 (11) :1963-1972
[60]   Apparent diffusion coefficient parametric response mapping MRI for follow-up of glioblastoma [J].
Yoon, Ra Gyoung ;
Kim, Ho Sung ;
Kim, Dae Yoon ;
Hong, Gil Sun ;
Kim, Sang Joon .
EUROPEAN RADIOLOGY, 2016, 26 (04) :1037-1047