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Research ArticleNEURODEGENERATIVE DISORDER IMAGING

Predicting Post-Operative Side Effects in VIM MRgFUS Based on THalamus Optimized Multi Atlas Segmentation (THOMAS) on White-Matter-Nulled MRI: A Retrospective Study

Sonoko Oshima, Asher Kim, Xiaonan R. Sun, Ziad Rifi, Katy A. Cross, Katherine A. Fu, Noriko Salamon, Benjamin M. Ellingson, Ausaf A. Bari and Jingwen Yao
American Journal of Neuroradiology December 2024, DOI: https://doi.org/10.3174/ajnr.A8448
Sonoko Oshima
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers (S.O., A.K., B.M.E., J.Y.), University of California, Los Angeles, Los Angeles, California
bDepartment of Radiological Sciences (S.O., N.S., B.M.E., J.Y.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Asher Kim
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers (S.O., A.K., B.M.E., J.Y.), University of California, Los Angeles, Los Angeles, California
cDepartment of Bioengineering (A.K., B.M.E., J.Y.), Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, California
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Xiaonan R. Sun
dDepartment of Neurosurgery (X.R.S., Z.R., B.M.E., A.A.B.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Ziad Rifi
dDepartment of Neurosurgery (X.R.S., Z.R., B.M.E., A.A.B.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Katy A. Cross
eDepartment of Neurology (K.A.C., K.A.F.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Katherine A. Fu
eDepartment of Neurology (K.A.C., K.A.F.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Noriko Salamon
bDepartment of Radiological Sciences (S.O., N.S., B.M.E., J.Y.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Benjamin M. Ellingson
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers (S.O., A.K., B.M.E., J.Y.), University of California, Los Angeles, Los Angeles, California
bDepartment of Radiological Sciences (S.O., N.S., B.M.E., J.Y.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
cDepartment of Bioengineering (A.K., B.M.E., J.Y.), Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, California
dDepartment of Neurosurgery (X.R.S., Z.R., B.M.E., A.A.B.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
fDepartment of Psychiatry and Biobehavioral Sciences (B.M.E.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.
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Ausaf A. Bari
dDepartment of Neurosurgery (X.R.S., Z.R., B.M.E., A.A.B.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Jingwen Yao
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers (S.O., A.K., B.M.E., J.Y.), University of California, Los Angeles, Los Angeles, California
bDepartment of Radiological Sciences (S.O., N.S., B.M.E., J.Y.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
cDepartment of Bioengineering (A.K., B.M.E., J.Y.), Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, California
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  • FIG 1.
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    FIG 1.

    Imaging feature extraction pipeline. ROIs of standard target, FUS lesions and THOMAS segmentations were registered to the population-specific template generated from pre-operative T1-w and FGATIR images. Spatial relationships of ROI centroids, overlap of FUS lesions with segmentations and lesion volume characteristics were assessed. MRgFUS, MR-guided focused ultrasound; FGATIR, Fast Gray Matter Acquisition T1 Inversion Recovery; THOMAS, THalamus Optimized Multi Atlas Segmentation; VIM, ventral intermediate nucleus; TH, thalamus; AP, anterior-posterior; RL, right-left, SI, superior-inferior; ROI, region of interest.

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    FIG 2.

    Procedures to create standard target, FUS lesions and THOMAS segmentations of thalamus and VIM. A, Standard target ROIs were created from coordinates of the first sonication. B, FUS lesions were generated by subtracting the pre-operative T2-weighted image from the post-operative image and applying a thresholding method. C, The thalamus and VIM were segmented by applying THOMAS to pre-operative FGATIR images. The VIM here corresponds to the ventral part (inferior half) of the ventral lateral posterior nucleus in the Morel atlas. MRgFUS, MR-guided focused ultrasound; THOMAS, THalamus Optimized Multi Atlas Segmentation; VIM, ventral intermediate nucleus; FGATIR, Fast Gray Matter Acquisition T1 Inversion Recovery; ROI, region of interest.

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    FIG 3.

    Example THOMAS segmentations (yellow line: thalamus; white line: VIM nucleus) and MRgFUS treated lesions (magenta: Zone A; cyan: Zone B) are shown in axial and coronal views. In the patient with side effects A, lesions extend farther out of the thalamus and segmented VIM, compared to the patient without side effects (B). FGATIR, Fast Gray Matter Acquisition T1 Inversion Recovery; MRgFUS, MR-guided focused ultrasound; THOMAS, Thalamus Optimized Multi Atlas Segmentation; VIM, ventral intermediate nucleus; ROI, region of interest.

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    FIG 4.

    Probabilistic maps of Zone A in the population-specific template space. The spatial relationship between THOMAS-based thalamic nuclei segmentations, Zone A probabilistic maps, and standard targets are illustrated in different cohorts. The Zone A probabilistic map represents the voxel-wise percentage of FUS lesions across the subjects, and the standard target contour represents 75th percentile of standard coordinate ROI across the subjects. THOMAS, THalamus Optimized Multi Atlas Segmentation; FUS, focused ultrasound; VA, ventral anterior nucleus; VLa, ventral lateral anterior nucleus; VLP, ventral lateral posterior nucleus; VPL, ventral posterior lateral nucleus; VPLd, dorsal part of ventral posterior lateral nucleus; Pul, pulvinar nucleus; CM, centromedian nucleus; MD-Pf, mediodorsal-parafascicular nucleus; Hb, habenula; MGN, medial geniculate nucleus; ROI, region of interest.

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    FIG 5.

    Results of imaging feature comparisons between patients with self-reported or physical exam-based gait/balance side effects and those without. In patients with side effects, Zone B shows less overlap with VIM segmentation and the off-target fraction of Zone B outside TH segmentation is greater (Graphs A–B and D–E). Graphs C and F show receiver operating characteristic curves of multivariate prediction models of side effects using imaging features. ET, essential tremor; PD, Parkinson’s disease; VIM, ventral intermediate nucleus; TH, thalamus; AUC, area under the curve.

Tables

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  • Comparisons of imaging features between patients with and without side effect

    MRI FeaturesSelf-Reported Side EffectPhysical Exam-Based Side Effect
    Gait/BalanceGait/balance > 1 MonthGait/Balance
    p-Valuep-Valuep-Value
    FUS lesion volumeVolume of Zone A0.210.310.96
    Volume of Zone B0.010.150.14
    Fraction of Zone A/Zone B0.010.450.04
    Overlap between FUS lesions and THOMAS segmentationsFraction of Zone A within VIMa0.0060.090.03
    Fraction of Zone B within VIMa0.0010.010.01
    Off Target Fraction of Zone A outside THb< 0.0010.020.02
    Off Target Fraction of Zone B outside THb< 0.0010.0080.003
    Off Target Fraction of Zone A within THc0.570.221
    Off Target Fraction of Zone B within THc< 0.0010.070.05
    Distance between FUS core lesion and THOMAS segmentationsAP Distance of Centroid (VIM - Zone A)0.570.450.52
    RL Distance of Centroid (VIM - Zone A)0.490.520.34
    SI Distance of Centroid (VIM - Zone A)< 0.0010.270.1
    Absolute Distance of Centroid (VIM - Zone A)< 0.0010.190.04
    Distance between FUS core lesion and standard coordinateAP Distance of Centroid (Standard - Zone A)0.640.320.005
    RL Distance of Centroid (Standard - Zone A)0.170.940.74
    SI Distance of Centroid (Standard - Zone A)0.430.690.7
    Absolute Distance of Centroid (Standard - Zone A)0.230.650.7
    • ↵a Volume of overlap between Zone A (or B) and VIM divided by that of Zone A (or B).

    • ↵b Volume of Zone A (or B) outside TH divided by that of Zone A (or B).

    • ↵c Volume of Zone A within TH but outside VIM divided by that of Zone A (or B).

    • P-values in the table represent uncorrected p-values. The bolded items represent statistical tests with Benjamini–Hochberg corrected p-values < 0.05.

    • Abbreviations: FUS, focused ultrasound; THOMAS, THalamus Optimized Multi Atlas Segmentation; VIM, ventral intermediate nucleus; TH, thalamus; AP, anterior-posterior; RL, right-left, SI, superior-inferior.

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Sonoko Oshima, Asher Kim, Xiaonan R. Sun, Ziad Rifi, Katy A. Cross, Katherine A. Fu, Noriko Salamon, Benjamin M. Ellingson, Ausaf A. Bari, Jingwen Yao
Predicting Post-Operative Side Effects in VIM MRgFUS Based on THalamus Optimized Multi Atlas Segmentation (THOMAS) on White-Matter-Nulled MRI: A Retrospective Study
American Journal of Neuroradiology Dec 2024, DOI: 10.3174/ajnr.A8448

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Predicting Post-Operative Side Effects in VIM MRgFUS Based on THalamus Optimized Multi Atlas Segmentation (THOMAS) on White-Matter-Nulled MRI: A Retrospective Study
Sonoko Oshima, Asher Kim, Xiaonan R. Sun, Ziad Rifi, Katy A. Cross, Katherine A. Fu, Noriko Salamon, Benjamin M. Ellingson, Ausaf A. Bari, Jingwen Yao
American Journal of Neuroradiology Dec 2024, DOI: 10.3174/ajnr.A8448
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