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Research ArticleAdult Brain

Repeatability of Automated Image Segmentation with BraTumIA in Patients with Recurrent Glioblastoma

N. Abu Khalaf, A. Desjardins, J.J. Vredenburgh and D.P. Barboriak
American Journal of Neuroradiology June 2021, 42 (6) 1080-1086; DOI: https://doi.org/10.3174/ajnr.A7071
N. Abu Khalaf
aFrom the Department of Radiology (N.A.K., D.P.B.), Duke University Medical Center, Durham, North Carolina
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A. Desjardins
bThe Preston Robert Tisch Brain Tumor Center (A.D.), Duke University Medical Center, Durham, North Carolina
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J.J. Vredenburgh
cHematology Oncology Service (J.J.V.), St. Francis Hospital and Medical Center, Hartford, Connecticut
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D.P. Barboriak
aFrom the Department of Radiology (N.A.K., D.P.B.), Duke University Medical Center, Durham, North Carolina
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  • FIG 1.
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    FIG 1.

    Registered baseline and repeat MR images from a 53-year-old man with multifocal left-hemispheric recurrent glioblastoma, with corresponding segmentations showing enlargement of enhancement segmentation on the repeat study compared with the baseline study. Registered T1-weighted axial slices obtained at baseline before (A) and after (B) administration of Gd-DTPA are shown along with segmentations obtained using BraTumIA 2.0 (C), as well as corresponding registered slices (D and E) and segmentation (F) from the repeat image set, aligned to match the baseline image set. The segmentation from the repeat image set appears larger along its anterior margin (open arrow). The overall enhancement volume increased by 2.2 mL on the repeat image set across all slices in the imaging volume. The legend for categorization of segmentation components within the segmentation is provided on the left.

  • FIG 2.
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    FIG 2.

    Registered baseline and repeat MR images from a 62-year-old man with recurrent glioblastoma in the left temporal lobe, with corresponding segmentations showing a relatively high Dice coefficient for segmentation of enhancing tumor. Registered axial slices from the baseline image set, including T1-weighted images before (A) and after (B) administration of contrast agent, as well as FLAIR (C) and T2-weighted images (D) produced segmentation (E) using BraTumIA 1.2. Corresponding registered slices from the repeat imaging set (F – I) produced segmentation (K) using BraTumIA 1.2. The legend for categorization of segmentation components within the segmentation is provided on the left. The overlap of enhancing tumor segmentations from baseline (white) and repeat (black outline) time points at this slice is shown (J). For this case, the overall Dice coefficient is 0.94 and the 95% Hausdorff distance was 4.3 mm for the enhancing tumor segmentations. The legend for categorization of segmentation components within the segmentation is provided on the left.

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    FIG 3.

    Contrast-enhanced T1-weighted image from an MR imaging study of a 47-year-old man with recurrent glioblastoma in the right parietal lobe with corresponding segmentations obtained using BraTumIA 1.2 and BraTumIA 2.0. Registered axial contrast-enhanced T1-weighted image from the baseline image set (B) is compared to segmentations obtained by BraTumIA 1.2 (A) and BraTumIA 2.0 (C). For this case, the overall volume of the enhancing tumor segmentations was 23.4 mL for BraTumIA 1.2 and 20.0 mL for BraTumIA 2.0. The legend for categorization of segmentation components within the segmentation is the same as for Figs. 1 and 2.

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    Table 1:

    Differences between segmentation volumes obtained at baseline and repeat imaging (in mL)

    Segmented RegionMean Segmentation Volumes, BraTumIA 1.2 [SD]Mean Segmentation Volumes, BraTumIA 2.0 [SD]Mean Difference in Volume between Baseline and Repeat Scans [SD]
    BaselineRepeatBaselineRepeatBraTumIA 1.2BraTumIA2.0
    Enhancing24.2 [17.1]26.3 [18.5]22.9 [16.6]24.9 [18.1]2.1a2.0b
    Edema96.5 [34.3]94.8 [39.2]93.3 [33.2]91.0 [37.7]–1.8–2.2
    Nonenhancing3.0 [3.2]3.0 [3.0]2.8 [2.5]2.6 [2.4]0.03–0.2
    Necrotic5.9 [13.0]5.6 [12.4]6.6 [12.6]7.0 [12.9]–0.30.4
    Total tumor-related abnormality130 [51.3]130 [56.7]126 [48.4]126 [52.8]0.05–0.1
    Total nonenhancing tumor-related abnormality105 [38.1]103 [43.7]103 [35.7]101 [40.5]–2.0–2.1
    Nonenhancing non-necrotic tumor-related abnormality99.5 [36.2]97.8 [41.2]96.1 [34.3]93.6 [38.4]–1.7–2.5
    WM545 [51.8]543 [50.4]549 [55.3]546 [53.0]–2.7–2.6
    GM594 [56.8]597 [54.2]608 [59.0]611 [54.6]2.72.8
    • ↵a P < .05.

    • ↵b P < .01 by paired t tests; all others not significant.

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    Table 2:

    Measures of repeatability for automatically segmented volumes

    BraTumIA VersionRC (95% CI), mL%RC (95% CI)
    1.22.01.22.0
    Enhancing6.9 (4.9–10)5.2 (3.7–7.5)46% (33%–67%)39% (28%–57%)
    Edema24 (17–35)30 (21–43)31% (22%–45%)36% (26%–52%)
    Non-enhancing2.1 (1.5–3.1)2.0 (1.4–2.8)95%a (68%–140%)116%a (84%–174%)
    Necrotic3.1 (2.2–4.5)2.0 (1.4–2.9)87% (62%–130%)81% (58%–117%)
    Total tumor-related abnormality25 (18–36)31 (22–44)26% (18%–37%)32% (22%–47%)
    Total non-enhancing tumor-related abnormality24 (17–34)30 (21–43)30% (21%–44%)35% (25%–51%)
    Non-enhancing non-necrotic tumor-related abnormality24 (17–35)29 (21–42)31% (22%–44%)36% (25%–51%)
    White matter40 (28–58)47 (33–67)7.1% (5.1%–10%)8.3% (5.9%–12%)
    Gray matter46 (33–67)45 (32–65)7.6% (5.3%–11%)7.3% (5.1%–10%)
    • ↵a N = 19 because of average non-enhancing volume of 0 for 1 patient.

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    Table 3:

    Spatial measures of similarity across repeat image segmentations

    BraTumIA VersionDice Coefficient (95% CI)95%ile HD, mm (95% CI)bAverage HD, mm (95% CI)b
    1.22.01.22.01.22.0
    Enhancing0.81 (0.75–0.86)0.75 (0.70–0.81)19 (17–21)14 (12–16)0.88 (0.72–1.1)0.72 (0.60–0.84)
    Edema0.79 (0.75–0.84)0.77 (0.73–0.81)39 (34–45)28 (24–31)0.89 (0.72–1.1)0.79 (0.66–0.94)
    Nonenhancing0.27 (0.19–0.36)0.24 (0.16–0.31)a22 (20–25)17 (16–19)a3.9 (3.2–4.8)3.1 (2.7–3.6)a
    Necrotic0.51 (0.41–0.61)0.45 (0.34–0.56)18 (16–21)16 (15–19)2.3 (1.8–3.0)2.3 (1.8–2.9)
    Total tumor-related abnormality0.85 (0.81–0.88)0.83 (0.80–0.87)39 (33–46)27 (24–31)0.59 (0.47–0.73)0.59 (0.48–0.73)
    Total nonenhancing tumor-related abnormality0.80 (0.75–0.84)0.77 (0.74–0.81)40 (34–47)27 (24–31)0.70 (0.58–0.85)0.76 (0.63–0.90)
    Nonenhancing non-necrotic tumor-related abnormality0.80 (0.75–0.84)0.77 (0.73–0.81)39 (33–48)28 (24–31)0.71 (0.59–0.86)0.78 (0.65–0.93)
    White matter0.84 (0.83–0.85)0.80 (0.79–0.82)19 (18–20)17 (17–18)0.28 (0.26–0.30)0.36 (0.34–0.38)
    Gray matter0.76 (0.75–0.78)0.72 (0.70–0.74)13 (12–13)14 (13–14)0.37 (0.36–0.39)0.48 (0.46–0.50)
    • Note:—HD indicates Hausdorff distance.

    • ↵a N = 19 because no nonenhancing tumor identified by BraTumIA 2.0 for 1 case.

    • ↵b CIs were calculated by using logarithmic scale.

    • View popup
    Table 4:

    Paired t test results for volumes reported by BraTumIA 1.2 and BraTumIA 2.0 (in mL)

    Segmented RegionAverage Volume BraTumIA 1.2Average Volume BraTumIA 2.0Average Difference in Volumes (BraTumIA 2.0–BraTumIA 1.2)
    MeanSDMeanSDMean
    Enhancing25.217.623.917.1–1.3a
    Edema95.636.492.235.1–3.4b
    Nonenhancing3.023.042.692.43–0.33
    Necrotic5.7912.56.8212.61.0b
    Total tumor-related abnormality13053.412650.0–4b
    Total nonenhancing tumor-related components10440.510237.7–2c
    Nonenhancing non-necrotic tumor-related components98.738.394.836.0–3.9b
    WM54450.554753.53c
    GM59654.861056.114a
    • ↵a P < .005 level.

    • ↵b P < .01 level.

    • ↵c P < .05 level.

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American Journal of Neuroradiology: 42 (6)
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N. Abu Khalaf, A. Desjardins, J.J. Vredenburgh, D.P. Barboriak
Repeatability of Automated Image Segmentation with BraTumIA in Patients with Recurrent Glioblastoma
American Journal of Neuroradiology Jun 2021, 42 (6) 1080-1086; DOI: 10.3174/ajnr.A7071

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Repeatability of Automated Image Segmentation with BraTumIA in Patients with Recurrent Glioblastoma
N. Abu Khalaf, A. Desjardins, J.J. Vredenburgh, D.P. Barboriak
American Journal of Neuroradiology Jun 2021, 42 (6) 1080-1086; DOI: 10.3174/ajnr.A7071
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