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Research ArticleClinical Investigation

Detecting High-Dose Methotrexate–Induced Brain Changes in Pediatric and Young Adult Cancer Survivors Using [18F]FDG PET/MRI: A Pilot Study

Lucia Baratto, Shashi B. Singh, Sharon E. Williams, Sheri L. Spunt, Jarrett Rosenberg, Lisa Adams, Vidyani Suryadevara, Michael Iv and Heike Daldrup-Link
Journal of Nuclear Medicine June 2024, 65 (6) 864-871; DOI: https://doi.org/10.2967/jnumed.123.266760
Lucia Baratto
1Division of Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, California;
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Shashi B. Singh
1Division of Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, California;
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Sharon E. Williams
2Child and Adolescent Psychiatry Clinic, Department of Psychiatry and Behavioral Sciences–Child and Adolescent Psychiatry and Child Development, Stanford University, Stanford, California;
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Sheri L. Spunt
3Department of Pediatrics–Hematology/Oncology, Lucile Packard Children’s Hospital, Stanford University, Stanford, California;
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Jarrett Rosenberg
4Department of Radiology, Stanford University School of Medicine, Stanford University, Stanford, California; and
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Lisa Adams
1Division of Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, California;
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Vidyani Suryadevara
1Division of Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, California;
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Michael Iv
5Neuroimaging Division, Radiology Department, Stanford Health Care, Stanford University, Stanford, California
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Heike Daldrup-Link
1Division of Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, California;
3Department of Pediatrics–Hematology/Oncology, Lucile Packard Children’s Hospital, Stanford University, Stanford, California;
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  • FIGURE 1.
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    FIGURE 1.

    Flowchart showing selection of study participants.

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    FIGURE 2.

    Comparison of [18F]FDG uptake in cingulum and hippocampus (Hipp) for patients with low (z score < 0) vs. high (z score > 0) performance on DKEFS-TM4 (A) and WRAML-VIS (B), respectively. (A) Regression analysis showed significant correlation between SUVmean and DKEFS-TM4 for prefrontal cortex and cingulum (P = 0.003 and P = 0.012, respectively) but not for hippocampus (P = 0.111). (B) There was no significant correlation between SUVmean and WRAML-VIS for prefrontal cortex, cingulum, or hippocampus.

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    FIGURE 3.

    Comparison of CBFmean in cingulum and hippocampus (Hipp) for patients with low (z score < 0) vs. high (z score > 0) performance on DKEFS-TM4 (Fig. 3A) and WRAML-VIS (Fig. 3B), respectively. (A) Regression analysis showed significant correlation between CBFmean and DKEFS-TM4 for cingulum, hippocampus, and prefrontal cortex (all P < 0.001). (B) CBFmean for hippocampus and WRAML-VIS was inversely correlated (P = 0.003). However, there was no correlation between CBFmean and WRAML-VIS for cingulum (P = 0.071) and prefrontal cortex (P = 0.052).

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    TABLE 1.

    Brain [18F]FDG PET/MRI Parameters

    ModalityParameterSpecification
    [18F]FDG PETImage protocol30-min static acquisition
    Image planeAxial
    Slice thickness (mm)2.78
    Field of view (cm)60
    Matrix size (mm)192 × 192
    Reconstruction algorithmTime of flight (28 subsets, 8 iterations)
    Glucose uptake (mg/dL)85.9 ± 10.16 (mean ± SD)
    Dose (MBq/kg)176.49 ± 42.55 (mean ± SD)
    Uptake time (min)43.50 ± 6.67 (mean ± SD)
    MRI*3D inversion recovery fast SPGR
     Image planeAxial
     Slice thickness (mm)1
     Field of view (cm)27
     Matrix size (mm)256 × 256
     Echo time (ms)3.1
     Repetition time (ms)7,664
     Flip angle11°
     Number of excitations1.00
    2D diffusion-weighted imaging†
     Image planeAxial
     Slice thickness (mm)5
     Field of view (cm)24
     Matrix size (mm)128 × 128
     Echo time (ms)76.5
     Repetition time (ms)5,000
     Flip angle90°
     Number of excitations3.00
    3D arterial spin labeling†
     Image planeAxial
     Slice thickness (mm)4
     Field of view (cm)24
     Matrix size (mm)512 × 8
     Echo time (ms)10.7
     Repetition time (ms)4,854
     Flip angle111°
     Number of excitations3.00
    • ↵* 3D T2 fluid-attenuated inversion recovery and 3D multiple-echo gradient-echo (QSM/R2*) sequences were also acquired.

    • ↵† Diffusion-weighted images were acquired with 2 diffusion weightings (b = 0 and 1,000 s/mm2). Apparent diffusion coefficient maps were automatically generated by software. Postprocessed arterial spin labeling imaging was performed by automated reconstruction script that sent CBF images directly to PACS.

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    TABLE 2.

    Neurocognitive Tests

    FunctionMeasureAverage rangeAnatomic regionBroadman area
    Executive functionDKEFS10 ± 3Prefrontal cortexMiddle frontal gyrus and gyrus rectus (9 and 10/11)
    CingulumAnterior cingulate gyrus (24, 32, 33); posterior cingulate gyrus (23, 26, 29, 30, and 31)
    Intellectual quotientWASI100 ± 10Prefrontal cortex9 and 10/11
    Verbal and nonverbal memoryWRAML100 ± 10Hippocampus27, 28, 34, 35, 36, and 48
    • Each neurocognitive test comprised 2 or more battery sets: Delis Kaplan Executive Function System (DKEFS)-sequential tracking (TM4), DKEFS–design/nonverbal tasks, DKEFS–inhibition, Wechsler Abbreviated Scale of Intelligence (WASI)–full-scale intellectual quotient, WASI–verbal comprehension index, WASI–perceptual reasoning index, Wide Range Assessment of Memory and Learning (WRAML)–screening memory, WRMAL–verbal memory, and WRMAL-VIS.

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    TABLE 3.

    Model Estimates of Marginal Effects of Negative z Score on Imaging Measures

    HippocampusCingulumPrefrontal cortex
    Neurocognitive testPET/MRI measureSlopePSlopePSlopeP
    WRAML-VIS (n = 16)SUVmean0.460.2851.020.1431.010.173
    CBFmean−6.040.003−5.970.071−5.930.052
    DKEFS-TM4 (n = 10)SUVmean2.700.1114.820.0125.410.003
    CBFmean8.68<0.00119.6<0.00110.9<0.001
    • n = number of measurements.

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Journal of Nuclear Medicine: 65 (6)
Journal of Nuclear Medicine
Vol. 65, Issue 6
June 1, 2024
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Detecting High-Dose Methotrexate–Induced Brain Changes in Pediatric and Young Adult Cancer Survivors Using [18F]FDG PET/MRI: A Pilot Study
Lucia Baratto, Shashi B. Singh, Sharon E. Williams, Sheri L. Spunt, Jarrett Rosenberg, Lisa Adams, Vidyani Suryadevara, Michael Iv, Heike Daldrup-Link
Journal of Nuclear Medicine Jun 2024, 65 (6) 864-871; DOI: 10.2967/jnumed.123.266760

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Detecting High-Dose Methotrexate–Induced Brain Changes in Pediatric and Young Adult Cancer Survivors Using [18F]FDG PET/MRI: A Pilot Study
Lucia Baratto, Shashi B. Singh, Sharon E. Williams, Sheri L. Spunt, Jarrett Rosenberg, Lisa Adams, Vidyani Suryadevara, Michael Iv, Heike Daldrup-Link
Journal of Nuclear Medicine Jun 2024, 65 (6) 864-871; DOI: 10.2967/jnumed.123.266760
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Keywords

  • cancer survivors
  • methotrexate
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  • PET
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