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Research ArticleOncology

Voxelwise and Patientwise Correlation of 18F-FDOPA PET, Relative Cerebral Blood Volume, and Apparent Diffusion Coefficient in Treatment-Naïve Diffuse Gliomas with Different Molecular Subtypes

Hiroyuki Tatekawa, Akifumi Hagiwara, Jingwen Yao, Talia C. Oughourlian, Issei Ueda, Hiroyuki Uetani, Catalina Raymond, Albert Lai, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Linda M. Liau, Whitney B. Pope, Noriko Salamon and Benjamin M. Ellingson
Journal of Nuclear Medicine March 2021, 62 (3) 319-325; DOI: https://doi.org/10.2967/jnumed.120.247411
Hiroyuki Tatekawa
1UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, UCLA, Los Angeles, California
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
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Akifumi Hagiwara
1UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, UCLA, Los Angeles, California
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
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Jingwen Yao
1UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, UCLA, Los Angeles, California
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
3Department of Bioengineering, Henry Samueli School of Engineering, UCLA, Los Angeles, California
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Talia C. Oughourlian
1UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, UCLA, Los Angeles, California
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
4Neuroscience Interdepartmental Program, David Geffen School of Medicine, UCLA, Los Angeles, California
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Issei Ueda
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
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Hiroyuki Uetani
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
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Catalina Raymond
1UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, UCLA, Los Angeles, California
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
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Albert Lai
5UCLA Neuro-Oncology Program, David Geffen School of Medicine, UCLA, Los Angeles, California
6Department of Neurology, David Geffen School of Medicine, UCLA, Los Angeles, California; and
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Timothy F. Cloughesy
5UCLA Neuro-Oncology Program, David Geffen School of Medicine, UCLA, Los Angeles, California
6Department of Neurology, David Geffen School of Medicine, UCLA, Los Angeles, California; and
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Phioanh L. Nghiemphu
5UCLA Neuro-Oncology Program, David Geffen School of Medicine, UCLA, Los Angeles, California
6Department of Neurology, David Geffen School of Medicine, UCLA, Los Angeles, California; and
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Linda M. Liau
5UCLA Neuro-Oncology Program, David Geffen School of Medicine, UCLA, Los Angeles, California
7Department of Neurosurgery, David Geffen School of Medicine, UCLA, Los Angeles, California
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Whitney B. Pope
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
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Noriko Salamon
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
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Benjamin M. Ellingson
1UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, UCLA, Los Angeles, California
2Department of Radiological Science, David Geffen School of Medicine, UCLA, Los Angeles, California
3Department of Bioengineering, Henry Samueli School of Engineering, UCLA, Los Angeles, California
4Neuroscience Interdepartmental Program, David Geffen School of Medicine, UCLA, Los Angeles, California
5UCLA Neuro-Oncology Program, David Geffen School of Medicine, UCLA, Los Angeles, California
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Abstract

Our purpose was to identify correlations between 18F-fluorodihydroxyphenylalanine (18F-FDOPA) uptake and physiologic MRI, including relative cerebral blood volume (rCBV) and apparent diffusion coefficient (ADC), in gliomas with different molecular subtypes and to evaluate their prognostic values. Methods: Sixty-eight treatment-naïve glioma patients who underwent 18F-FDOPA PET and physiologic MRI were retrospectively selected (36 with isocitrate dehydrogenase wild-type [IDHwt], 16 with mutant 1p/19q noncodeleted [IDHm-noncodel], and 16 with mutant codeleted [IDHm-codel]). Fluid-attenuated inversion recovery hyperintense areas were segmented and used as regions of interest. For voxelwise and patientwise analyses, Pearson correlation coefficients (rvoxelwise and rpatientwise) between the normalized SUV (nSUV), rCBV, and ADC were evaluated. Cox regression analysis was performed to investigate the associations between overall survival and rvoxelwise, maximum or median nSUV, median rCBV, or median ADC. Results: For IDHwt and IDHm-noncodel gliomas, nSUV demonstrated significant positive correlations with rCBV (rvoxelwise = 0.25 and 0.31, respectively; rpatientwise = 0.50 and 0.70, respectively) and negative correlations with ADC (rvoxelwise = −0.19 and −0.19, respectively; rpatientwise = −0.58 and −0.61, respectively) in both voxelwise and patientwise analyses. IDHm-codel gliomas demonstrated a significant positive correlation between nSUV and ADC only in voxelwise analysis (rvoxelwise = 0.18). In Cox regression analysis, rvoxelwise between nSUV and rCBV (hazard ratio, 28.82) or ADC (hazard ratio, 0.085) had significant associations with overall survival for only IDHwt gliomas. Conclusion: IDHm-codel gliomas showed distinctive patterns of correlations between amino acid PET and physiologic MRI. Stronger correlations between nSUV and rCBV or ADC may result in a worse prognosis for IDHwt gliomas.

  • 18F-FDOPA PET
  • glioma
  • correlation coefficient
  • rCBV
  • ADC

Footnotes

  • Guest Editor: Todd Peterson, Vanderbilt University.

  • Published online Jul. 9, 2020.

  • © 2021 by the Society of Nuclear Medicine and Molecular Imaging.
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Journal of Nuclear Medicine: 62 (3)
Journal of Nuclear Medicine
Vol. 62, Issue 3
March 1, 2021
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Voxelwise and Patientwise Correlation of 18F-FDOPA PET, Relative Cerebral Blood Volume, and Apparent Diffusion Coefficient in Treatment-Naïve Diffuse Gliomas with Different Molecular Subtypes
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Voxelwise and Patientwise Correlation of 18F-FDOPA PET, Relative Cerebral Blood Volume, and Apparent Diffusion Coefficient in Treatment-Naïve Diffuse Gliomas with Different Molecular Subtypes
Hiroyuki Tatekawa, Akifumi Hagiwara, Jingwen Yao, Talia C. Oughourlian, Issei Ueda, Hiroyuki Uetani, Catalina Raymond, Albert Lai, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Linda M. Liau, Whitney B. Pope, Noriko Salamon, Benjamin M. Ellingson
Journal of Nuclear Medicine Mar 2021, 62 (3) 319-325; DOI: 10.2967/jnumed.120.247411

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Voxelwise and Patientwise Correlation of 18F-FDOPA PET, Relative Cerebral Blood Volume, and Apparent Diffusion Coefficient in Treatment-Naïve Diffuse Gliomas with Different Molecular Subtypes
Hiroyuki Tatekawa, Akifumi Hagiwara, Jingwen Yao, Talia C. Oughourlian, Issei Ueda, Hiroyuki Uetani, Catalina Raymond, Albert Lai, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Linda M. Liau, Whitney B. Pope, Noriko Salamon, Benjamin M. Ellingson
Journal of Nuclear Medicine Mar 2021, 62 (3) 319-325; DOI: 10.2967/jnumed.120.247411
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Keywords

  • 18F-FDOPA PET
  • glioma
  • correlation coefficient
  • rCBV
  • ADC
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