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Tran A, Koh TS, Prawira A, Ho RZW, Le TBU, Vu TC, Hartano S, Teo XQ, Chen WC, Lee P, Thng CH, Huynh H. Dynamic Contrast-Enhanced Magnetic Resonance Imaging as Imaging Biomarker for Vascular Normalization Effect of Infigratinib in High-FGFR-Expressing Hepatocellular Carcinoma Xenografts. Mol Imaging Biol 2021; 23:70-83. [PMID: 32909245 DOI: 10.1007/s11307-020-01531-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 07/06/2020] [Accepted: 08/09/2020] [Indexed: 12/24/2022]
Abstract
PURPOSE Overexpression of fibroblast growth factor receptor (FGFR) contributes to tumorigenesis, metastasis, and poor prognosis of hepatocellular carcinoma (HCC). Infigratinib-a pan-FGFR inhibitor-potently suppresses the growth of high-FGFR-expressing HCCs in part via alteration of the tumor microenvironment and vessel normalization. In this study, we aim to assess the utility of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) as a non-invasive imaging technique to detect microenvironment changes associated with infigratinib and sorafenib treatment in high-FGFR-expressing HCC xenografts. PROCEDURES Serial DCE-MRIs were performed on 12 nude mice bearing high-FGFR-expressing patient-derived HCC xenografts to quantify tumor microenvironment pre- (day 0) and post-treatment (days 3, 6, 9, and 15) of vehicle, sorafenib, and infigratinib. DCE-MRI data were analyzed using extended generalized kinetic model and two-compartment distributed parameter model. After treatment, immunohistochemistry stains were performed on the harvested tumors to confirm DCE-MRI findings. RESULTS By treatment day 15, infigratinib induced tumor regression (70 % volume reduction from baseline) while sorafenib induced relative growth arrest (185 % volume increase from baseline versus 694 % volume increase from baseline of control). DCE-MRI analysis revealed different changes in microcirculatory parameters upon exposure to sorafenib versus infigratinib. While sorafenib induced microenvironment changes similar to those of rapidly growing tumors, such as a decrease in blood flow (F), fractional intravascular volume (vp), and permeability surface area product (PS), infigratinib induced the exact opposite changes as early as day 3 after treatment: increase in F, vp, and PS. CONCLUSIONS Our study demonstrated that DCE-MRI is a reliable non-invasive imaging technique to monitor tumor microcirculatory response to FGFR inhibition and VEGF inhibition in high-FGFR-expressing HCC xenografts. Furthermore, the microcirculatory changes from FGFR inhibition manifested early upon treatment initiation and were reliably detected by DCE-MRI, creating possibilities of combinatorial therapy for synergistic effect.
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Affiliation(s)
- Anh Tran
- Department of Oncologic Imaging, National Cancer Centre, Singapore, Singapore
| | - Tong San Koh
- Department of Oncologic Imaging, National Cancer Centre, Singapore, Singapore
| | - Aldo Prawira
- Laboratory of Molecular Endocrinology, Division of Molecular and Cellular Research, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore
| | - Rebecca Zhi Wen Ho
- Laboratory of Molecular Endocrinology, Division of Molecular and Cellular Research, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore
| | - Thi Bich Uyen Le
- Laboratory of Molecular Endocrinology, Division of Molecular and Cellular Research, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore
| | - Thanh Chung Vu
- Laboratory of Molecular Endocrinology, Division of Molecular and Cellular Research, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore
| | - Septian Hartano
- Department of Oncologic Imaging, National Cancer Centre, Singapore, Singapore
| | - Xing Qi Teo
- Functional Metabolism Group, Agency for Science, Technology and Research, Singapore BioImaging Consortium, Singapore, Singapore
| | | | - Philip Lee
- Functional Metabolism Group, Agency for Science, Technology and Research, Singapore BioImaging Consortium, Singapore, Singapore
| | - Choon Hua Thng
- Department of Oncologic Imaging, National Cancer Centre, Singapore, Singapore.
| | - Hung Huynh
- Laboratory of Molecular Endocrinology, Division of Molecular and Cellular Research, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore.
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Desmond KL, Xu R, Sun Y, Chavez S. A practical method for post-acquisition reduction of bias in fast, whole-brain B1-maps. Magn Reson Imaging 2020; 77:88-98. [PMID: 33338561 DOI: 10.1016/j.mri.2020.12.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/22/2020] [Accepted: 12/13/2020] [Indexed: 12/24/2022]
Abstract
Large consistent differences have been observed between maps of the flip angle correction factor (commonly called "B1-maps") produced with different fast methods in the human brain. We present an empirical procedure for first-order multiplicative bias correction that can be applied when more than one B1-mapping method is available. We use a B1-map measurement in a calibration phantom as a reference and the voxel-wise histogram mode between ratios of B1-maps produced from different methods to calculate determine the bias as a multiplicative correcting scale factor. Institutional implementations of four common methods of B1-mapping were assessed: Method of Slopes, FSE and EPI double angle methods (DAM), and Bloch-Siegert. In human subjects, the multiplicative bias used to correct for each of the four methods was: Method of Slopes = 1.005, FSE-DAM = 0.956, EPI-DAM = 1.080, and Bloch-Siegert = 1.128. Scaling to remove this bias between methods produces more consistent B1-maps which enable more consistent values for any computations requiring flip angle correction. In addition, we present evidence that the corrected B1 maps, using our calibration method, are also more accurate.
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Affiliation(s)
- Kimberly L Desmond
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada.
| | - Ruiyang Xu
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada
| | - Yutong Sun
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada
| | - Sofia Chavez
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada
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