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Research ArticleAdult Brain
Open Access

Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial

S. Bash, L. Wang, C. Airriess, G. Zaharchuk, E. Gong, A. Shankaranarayanan and L.N. Tanenbaum
American Journal of Neuroradiology December 2021, 42 (12) 2130-2137; DOI: https://doi.org/10.3174/ajnr.A7358
S. Bash
aFrom the RadNet Inc (S.B., L.N.T.), Los Angeles, California
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L. Wang
bSubtle Medical (L.W., E.G., A.S.), Menlo Park, California
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C. Airriess
cCortechs.ai. (C.A.), San Diego, California.
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G. Zaharchuk
dStanford University Medical Center (G.Z.), Stanford, California
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E. Gong
bSubtle Medical (L.W., E.G., A.S.), Menlo Park, California
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A. Shankaranarayanan
bSubtle Medical (L.W., E.G., A.S.), Menlo Park, California
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L.N. Tanenbaum
aFrom the RadNet Inc (S.B., L.N.T.), Los Angeles, California
eLenox Hill Radiolog (L.N.T.), New York, New York
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  • FIG 1.
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    FIG 1.

    Linear regression results for SOC versus FAST-DL. The plot graphs demonstrate linear distribution without scatter, indicating consistent concordance between SOC (x-axis) and FAST-DL (y-axis) in quantitative assessment of HOC (A), HV (B), SLV volume (C), and ILV volume (A).

  • FIG 2.
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    FIG 2.

    Linear regression results for SOC versus FAST. The plot graphs demonstrate a modestly linear distribution though some scatter is present, indicating less optimal concordance of the cross-correlation factor between SOC (x-axis) and FAST (y-axis) (compared with SOC versus FAST-DL) in a quantitative assessment of HOC (A), HV (B), SLV volume (C), and ILV volume (A).

  • FIG 3.
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    FIG 3.

    Bland-Altman results for SOC versus FAST-DL. The plot graphs demonstrate a linear distribution without significant scatter, indicating consistent concordance between SOC and FAST-DL in the quantitative assessment of HOC, HV, SLV volume, and ILV volume.

  • FIG 4.
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    FIG 4.

    Bland-Altman results for SOC versus FAST. The plot graphs demonstrate a modestly linear distribution though some scatter is present, indicating less optimal concordance of the cross-correlation factor between SOC versus FAST (compared with SOC versus FAST-DL) in the quantitative assessment of HOC, HV, SLV volume, and ILV volume.

  • FIG 5.
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    FIG 5.

    Representative axial 3D T1-weighted images on a 3T scanner. Left to right, SOC (scan time, 4 minutes, 55 seconds), FAST (scan time, 2 minutes, 10 seconds), FAST-DL (scan time, 2 minutes, 10 seconds).

  • FIG 6.
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    FIG 6.

    Representative 3D T1-weighted multiplanar images with volumetric segmentation on a 3T scanner. Left to right, Axial, coronal, sagittal T1-weighted images with SOC (scan time, 5 minutes, 01 second) on the upper row (A) and FAST-DL (scan time, 2 minutes, 37 seconds) on lower row (B).

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    Table 1:

    Wilcoxon rank sum test results—both readers combineda

    FeatureSOC vs FASTFAST-DL vs SOCFAST-DL vs FAST
    MeanP ValueMeanP ValueMeanP Value
    Perceived SNR4.1 (SD, 0.8)<.0013.5 (SD, 1.3)<.0014.3 (SD, 1.0)<.001
    Sharpness4.5 (SD, 0.7)<.0013.5 (SD, 1.5).0054.7 (SD, 0.9)<.001
    Artifacts3.9 (SD, 0.8)<.0013.5 (SD, 1.1)<.0014.1 (SD, 0.9)<.001
    Anatomic/lesion conspicuity4.2 (SD, 0.7)<.0013.3 (SD, 1.1).0064.3 (SD, 0.7)<.001
    Image contrast4.0 (SD, 0.7)<.0013.4 (SD, 1.1).0044.1 (SD, 0.8)<.001
    GM/WM differentiation4.3 (SD, 0.7)<.0013.4 (SD, 1.2).0094.5 (SD, 0.8)<.001
    • ↵a SOC is superior to FAST for all criteria (P values <.001). Numbers higher than 3 represent preference for the first of the 2 sequences listed in the upper row. FAST-DL is superior to SOC for all criteria (P values < .008), except for GM/WM differentiation. While this metric trended to be superior for FAST-DL versus SOC, it did not reach statistical significance after Bonferroni correction (P = .009). FAST-DL is superior to FAST for all criteria (P values <.001).

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    Table 2:

    Paired t test for SOC versus FAST-DLa

    SOCFAST-DLPaired t Test
    HOC (mean)0.68 (SD, 0.16)0.68 (SD, 0.16)0.58
    HV (mean) (cm3)6.45 (SD, 1.70)6.47 (SD, 1.69)0.77
    SLV volume (mean) (cm3)44.30 (SD, 20.60)43.63 (SD, 20.35)<0.05
    ILV volume (mean) (cm3)3.07 (SD, 1.78)3.04 (SD, 1.69)0.27
    • ↵a There is excellent agreement between SOC and FAST-DL for quantitative assessment of HOC, HV, SLV volume, and ILV volume.

    • View popup
    Table 3:

    Paired t test for SOC versus FASTa

    SOCFASTPaired t Test
    HOC (mean)0.68 (SD, 0.16)0.68 (SD, 0.17)0.63
    HV (mean) (cm3)6.45 (SD, 1.70)6.56 (SD, 1.88)0.60
    SLV volume (mean) (cm3)44.30 (SD, 20.60)43.44 (SD, 20.01)<0.05
    ILV volume (mean) (cm3)3.07 (SD, 1.78)3.17 (SD, 1.85)0.93
    • ↵a There is less optimal agreement between SOC versus FAST (compared with SOC versus FAST-DL) for quantitative assessment of HOC, HV, SLV volume, and ILV volume.

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American Journal of Neuroradiology: 42 (12)
American Journal of Neuroradiology
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1 Dec 2021
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S. Bash, L. Wang, C. Airriess, G. Zaharchuk, E. Gong, A. Shankaranarayanan, L.N. Tanenbaum
Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial
American Journal of Neuroradiology Dec 2021, 42 (12) 2130-2137; DOI: 10.3174/ajnr.A7358

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Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial
S. Bash, L. Wang, C. Airriess, G. Zaharchuk, E. Gong, A. Shankaranarayanan, L.N. Tanenbaum
American Journal of Neuroradiology Dec 2021, 42 (12) 2130-2137; DOI: 10.3174/ajnr.A7358
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