Assessment of Glioma Response to Radiotherapy Using Multiple MRI Biomarkers with Manual and Semiautomated Segmentation Algorithms

Overview

Journal J Neuroimaging

Publisher Wiley

Specialties Neurology
Radiology

Date 2016 Apr 30

PMID 27128445

Citations 6

Authors

Yang Yu

Dong-Hoon Lee

Shin-Lei Peng

Kai Zhang

Yi Zhang

Shanshan Jiang

Xuna Zhao

Hye-Young Heo

Xiangyang Wang

Min Chen

Hanzhang Lu

Haiyun Li

Jinyuan Zhou

Affiliations

Soon will be listed here.

Abstract

Background And Purpose: Multimodality magnetic resonance imaging (MRI) can provide complementary information in the assessment of brain tumors. We aimed to segment tumor in amide proton transfer-weighted (APTw) images and to investigate multiparametric MRI biomarkers for the assessment of glioma response to radiotherapy. For tumor extraction, we evaluated a semiautomated segmentation method based on region of interest (ROI) results by comparing it with the manual segmentation method.

Methods: Thirteen nude rats injected with U87 tumor cells were irradiated by an 8-Gy radiation dose. All MRI scans were performed on a 4.7-T animal scanner preradiation, and at day 1, day 4, and day 8 postradiation. Two experts performed manual and semiautomated methods to extract tumor ROIs on APTw images. Multimodality MRI signals of the tumors, including structural (T and T ), functional (apparent diffusion coefficient and blood flow), and molecular (APTw and magnetization transfer ratio or MTR), were calculated and compared quantitatively.

Results: The semiautomated method provided more reliable tumor extraction results on APTw images than the manual segmentation, in less time. A considerable increase in the ADC intensities of the tumor was observed during the postradiation. A steady decrease in the blood flow values and in the APTw signal intensities were found after radiotherapy.

Conclusions: The semiautomated method of tumor extraction showed greater efficiency and stability than the manual method. Apparent diffusion coefficient, blood flow, and APTw are all useful biomarkers in assessing glioma response to radiotherapy.

Citing Articles

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Current Applications and Future Development of Magnetic Resonance Fingerprinting in Diagnosis, Characterization, and Response Monitoring in Cancer.

Ding H, Velasco C, Ye H, Lindner T, Grech-Sollars M, OCallaghan J Cancers (Basel). 2021; 13(19).

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Magnetic resonance imaging-guided radiation therapy using animal models of glioblastoma.

Vanhove C, Goethals I Br J Radiol. 2018; 92(1095):20180713.

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Differentiating between Glioblastoma and Primary CNS Lymphoma Using Combined Whole-tumor Histogram Analysis of the Normalized Cerebral Blood Volume and the Apparent Diffusion Coefficient.

Bao S, Watanabe Y, Takahashi H, Tanaka H, Arisawa A, Matsuo C Magn Reson Med Sci. 2018; 18(1):53-61.

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Cohen O, Huang S, McMahon M, Rosen M, Farrar C Magn Reson Med. 2018; 80(6):2449-2463.

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References

Merchant T, Hua C, Shukla H, Ying X, Nill S, Oelfke U . Proton versus photon radiotherapy for common pediatric brain tumors: comparison of models of dose characteristics and their relationship to cognitive function. Pediatr Blood Cancer. 2008; 51(1):110-7. DOI: 10.1002/pbc.21530. View

Wolff S, Balaban R . Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo. Magn Reson Med. 1989; 10(1):135-44. DOI: 10.1002/mrm.1910100113. View

Gong Q, Eldridge P, Brodbelt A, Garcia-Finana M, Zaman A, Jones B . Quantification of tumour response to radiotherapy. Br J Radiol. 2004; 77(917):405-13. DOI: 10.1259/bjr/85294528. View

Bulakbasi N, Kocaoglu M, Ors F, Tayfun C, Ucoz T . Combination of single-voxel proton MR spectroscopy and apparent diffusion coefficient calculation in the evaluation of common brain tumors. AJNR Am J Neuroradiol. 2003; 24(2):225-33. PMC: 7974143. View

Brandsma D, van den Bent M . Pseudoprogression and pseudoresponse in the treatment of gliomas. Curr Opin Neurol. 2009; 22(6):633-8. DOI: 10.1097/WCO.0b013e328332363e. View

Jones C, Schlosser M, van Zijl P, Pomper M, Golay X, Zhou J . Amide proton transfer imaging of human brain tumors at 3T. Magn Reson Med. 2006; 56(3):585-92. DOI: 10.1002/mrm.20989. View

Garcia M, Gloor M, Bieri O, Radue E, Lieb J, Cordier D . Imaging of Primary Brain Tumors and Metastases with Fast Quantitative 3-Dimensional Magnetization Transfer. J Neuroimaging. 2015; 25(6):1007-14. DOI: 10.1111/jon.12222. View

Bland J, Altman D . Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 1(8476):307-10. View

Hobbs S, Shi G, Homer R, Harsh G, Atlas S, Bednarski M . Magnetic resonance image-guided proteomics of human glioblastoma multiforme. J Magn Reson Imaging. 2003; 18(5):530-6. DOI: 10.1002/jmri.10395. View

10.

Maier S, Bogner P, Bajzik G, Mamata H, Mamata Y, Repa I . Normal brain and brain tumor: multicomponent apparent diffusion coefficient line scan imaging. Radiology. 2001; 219(3):842-9. DOI: 10.1148/radiology.219.3.r01jn02842. View

11.

Wen Z, Hu S, Huang F, Wang X, Guo L, Quan X . MR imaging of high-grade brain tumors using endogenous protein and peptide-based contrast. Neuroimage. 2010; 51(2):616-22. PMC: 2856810. DOI: 10.1016/j.neuroimage.2010.02.050. View

12.

Chenevert T, McKeever P, Ross B . Monitoring early response of experimental brain tumors to therapy using diffusion magnetic resonance imaging. Clin Cancer Res. 1998; 3(9):1457-66. View

13.

Hicklin D, Ellis L . Role of the vascular endothelial growth factor pathway in tumor growth and angiogenesis. J Clin Oncol. 2004; 23(5):1011-27. DOI: 10.1200/JCO.2005.06.081. View

14.

Taylor D, Bushell M . The spatial mapping of translational diffusion coefficients by the NMR imaging technique. Phys Med Biol. 1985; 30(4):345-9. DOI: 10.1088/0031-9155/30/4/009. View

15.

Ostergaard L, Hochberg F, Rabinov J, Sorensen A, Lev M, Kim L . Early changes measured by magnetic resonance imaging in cerebral blood flow, blood volume, and blood-brain barrier permeability following dexamethasone treatment in patients with brain tumors. J Neurosurg. 1999; 90(2):300-5. DOI: 10.3171/jns.1999.90.2.0300. View

16.

Macdonald D, Cascino T, Schold Jr S, Cairncross J . Response criteria for phase II studies of supratentorial malignant glioma. J Clin Oncol. 1990; 8(7):1277-80. DOI: 10.1200/JCO.1990.8.7.1277. View

17.

Howe F, Barton S, Cudlip S, Stubbs M, Saunders D, Murphy M . Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy. Magn Reson Med. 2003; 49(2):223-32. DOI: 10.1002/mrm.10367. View

18.

Mozley P, Bendtsen C, Zhao B, Schwartz L, Thorn M, Rong Y . Measurement of tumor volumes improves RECIST-based response assessments in advanced lung cancer. Transl Oncol. 2012; 5(1):19-25. PMC: 3281412. DOI: 10.1593/tlo.11232. View

19.

Wen P, Kesari S . Malignant gliomas in adults. N Engl J Med. 2008; 359(5):492-507. DOI: 10.1056/NEJMra0708126. View

20.

Essig M, Shiroishi M, Nguyen T, Saake M, Provenzale J, Enterline D . Perfusion MRI: the five most frequently asked technical questions. AJR Am J Roentgenol. 2012; 200(1):24-34. PMC: 3593114. DOI: 10.2214/AJR.12.9543. View