Metabolic and physiologic magnetic resonance imaging in distinguishing true progression from pseudoprogression in patients with glioblastoma

被引:23
作者
Chawla, Sanjeev [1 ]
Bukhari, Sultan [2 ]
Afridi, Omar M. [2 ]
Wang, Sumei [3 ]
Yadav, Santosh K. [4 ]
Akbari, Hamed [1 ]
Verma, Gaurav [5 ]
Nath, Kavindra [1 ]
Haris, Mohammad [4 ]
Bagley, Stephen [6 ]
Davatzikos, Christos [1 ]
Loevner, Laurie A. [1 ]
Mohan, Suyash [1 ]
机构
[1] Univ Penn, Dept Radiol, Perelman Sch Med, Philadelphia, PA 19104 USA
[2] Rowan Univ, Rowan Sch Osteopath Med, Voorhees, NJ USA
[3] Lenox Hill Hosp, Dept Cardiol, Northwell Hlth, New York, NY USA
[4] Sidra Med, Lab Funct & Mol Imaging, Doha, Qatar
[5] Icahn Sch Med Mt Sinai, Dept Radiol, New York, NY USA
[6] Univ Penn, Dept Hematol Oncol, Perelman Sch Med, Philadelphia, PA 19104 USA
关键词
amide proton transfer imaging; amino acid-based positron emission tomography; diffusion MR imaging; glioblastoma; perfusion MR imaging; proton MR spectroscopy; pseudoprogression; true progression; HIGH-GRADE GLIOMAS; PROMOTER METHYLATION STATUS; PROTON MR SPECTROSCOPY; MGMT PROMOTER; TUMOR PROGRESSION; HISTOGRAM ANALYSIS; RADIATION-THERAPY; IN-VIVO; PSEUDO-PROGRESSION; PERFUSION MRI;
D O I
10.1002/nbm.4719
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Pseudoprogression (PsP) refers to treatment-related clinico-radiologic changes mimicking true progression (TP) that occurs in patients with glioblastoma (GBM), predominantly within the first 6 months after the completion of surgery and concurrent chemoradiation therapy (CCRT) with temozolomide. Accurate differentiation of TP from PsP is essential for making informed decisions on appropriate therapeutic intervention as well as for prognostication of these patients. Conventional neuroimaging findings are often equivocal in distinguishing between TP and PsP and present a considerable diagnostic dilemma to oncologists and radiologists. These challenges have emphasized the need for developing alternative imaging techniques that may aid in the accurate diagnosis of TP and PsP. In this review, we encapsulate the current state of knowledge in the clinical applications of commonly used metabolic and physiologic magnetic resonance (MR) imaging techniques such as diffusion and perfusion imaging and proton spectroscopy in distinguishing TP from PsP. We also showcase the potential of promising imaging techniques, such as amide proton transfer and amino acid-based positron emission tomography, in providing useful information about the treatment response. Additionally, we highlight the role of "radiomics", which is an emerging field of radiology that has the potential to change the way in which advanced MR techniques are utilized in assessing treatment response in GBM patients. Finally, we present our institutional experiences and discuss future perspectives on the role of multiparametric MR imaging in identifying PsP in GBM patients treated with "standard-of-care" CCRT as well as novel/targeted therapies.
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页数:20
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共 151 条
[1]   Use of diffusion tensor imaging in glioma resection [J].
Abdullah, Kalil G. ;
Lubelski, Daniel ;
Nucifora, Paolo G. P. ;
Brem, Steven .
NEUROSURGICAL FOCUS, 2013, 34 (04)
[2]   Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach [J].
Aerts, Hugo J. W. L. ;
Velazquez, Emmanuel Rios ;
Leijenaar, Ralph T. H. ;
Parmar, Chintan ;
Grossmann, Patrick ;
Cavalho, Sara ;
Bussink, Johan ;
Monshouwer, Rene ;
Haibe-Kains, Benjamin ;
Rietveld, Derek ;
Hoebers, Frank ;
Rietbergen, Michelle M. ;
Leemans, C. Rene ;
Dekker, Andre ;
Quackenbush, John ;
Gillies, Robert J. ;
Lambin, Philippe .
NATURE COMMUNICATIONS, 2014, 5
[3]   Morphologic MRI features, diffusion tensor imaging and radiation dosimetric analysis to differentiate pseudo-progression from early tumor progression [J].
Agarwal, Ajay ;
Kumar, Sanath ;
Narang, Jayant ;
Schultz, Lonni ;
Mikkelsen, Tom ;
Wang, Sumei ;
Siddiqui, Sarmad ;
Poptani, Harish ;
Jain, Rajan .
JOURNAL OF NEURO-ONCOLOGY, 2013, 112 (03) :413-420
[4]   Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma [J].
Akbari, Hamed ;
Rathore, Saima ;
Bakas, Spyridon ;
Nasrallah, MacLean P. ;
Shukla, Gaurav ;
Mamourian, Elizabeth ;
Rozycki, Martin ;
Bagley, Stephen J. ;
Rudie, Jeffrey D. ;
Flanders, Adam E. ;
Dicker, Adam P. ;
Desai, Arati S. ;
O'Rourke, Donald M. ;
Brem, Steven ;
Lustig, Robert ;
Mohan, Suyash ;
Wolf, Ronald L. ;
Bilello, Michel ;
Martinez-Lage, Maria ;
Davatzikos, Christos .
CANCER, 2020, 126 (11) :2625-2636
[5]  
Alger Jeffry R, 2010, Top Magn Reson Imaging, V21, P115, DOI 10.1097/RMR.0b013e31821e568f
[6]  
Asao C, 2005, AM J NEURORADIOL, V26, P1455
[7]   Percent Change of Perfusion Skewness and Kurtosis: A Potential Imaging Biomarker for Early Treatment Response in Patients with Newly Diagnosed Glioblastomas [J].
Baek, Hye Jin ;
Kim, Ho Sung ;
Kim, Namkug ;
Choi, Young Jun ;
Kim, Young Joong .
RADIOLOGY, 2012, 264 (03) :834-843
[8]   Pseudoprogression as an adverse event of glioblastoma therapy [J].
Balana, Carmen ;
Capellades, Jaume ;
Pineda, Estela ;
Estival, Anna ;
Puig, Josep ;
Domenech, Sira ;
Verger, Eugenia ;
Pujol, Teresa ;
Martinez-Garcia, Maria ;
Oleaga, Laura ;
Velarde, JoseMaria ;
Mesia, Carlos ;
Fuentes, Rafael ;
Marruecos, Jordi ;
Del Barco, Sonia ;
Villa, Salvador ;
Carrato, Cristina ;
Gallego, Oscar ;
Gil-Gil, Miguel ;
Craven-Bartle, Jordi ;
Alameda, Francesc .
CANCER MEDICINE, 2017, 6 (12) :2858-2866
[9]   Clinical Imaging for Diagnostic Challenges in the Management of Gliomas: A Review [J].
Bonm, Alipi V. ;
Ritterbusch, Reed ;
Throckmorton, Patrick ;
Graber, Jerome J. .
JOURNAL OF NEUROIMAGING, 2020, 30 (02) :139-145
[10]   Longitudinal DSC-MRI for Distinguishing Tumor Recurrence From Pseudoprogression in Patients With a High-grade Glioma [J].
Boxerman, Jerrold L. ;
Ellingson, Benjamin M. ;
Jeyapalan, Suriya ;
Elinzano, Heinrich ;
Harris, Robert J. ;
Rogg, Jeffrey M. ;
Pope, Whitney B. ;
Safran, Howard .
AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS, 2017, 40 (03) :228-234