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Prominent juxtacortical white matter lesion hallmarks NOTCH3-related intracerebral haemorrhage

Chih-Hao Chen, Hao-Chia Hsu, Yu-Wen Cheng, Ya-Fang Chen, Sung-Chun Tang, Jiann-Shing Jeng
DOI: 10.1136/svn-2021-001020 Published 25 February 2022
Chih-Hao Chen
1 Neurology, National Taiwan University Hospital, Taipei, Taiwan
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Hao-Chia Hsu
2 Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
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Yu-Wen Cheng
3 Department of Neurology, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan
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Ya-Fang Chen
4 Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
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Sung-Chun Tang
2 Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
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Jiann-Shing Jeng
1 Neurology, National Taiwan University Hospital, Taipei, Taiwan
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  • Figure 1
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    Figure 1

    Schematic and neuroimaging demonstration of prominent juxtacortical WML. (A–C) Schematic diagrams of the WML at the level of CS. (A) A normal CS without WML. (B) Pattern 1: bilateral vague hypodensity change in CS with patchy areas of low densities inside, involving the juxtacortical region. (C) Pattern 2: bilateral diffuse hypodensity change in CS, extending to the juxtacortical region, delineating a sharp interface of grey–white matter junction. (D–F) CT scans of 3 different patients of ICH. (D) A case of right putaminal haemorrhage with negative NOTCH3 p.R544C mutation was scored 1 and 2 for frontal and parietal lobe WML but without WML in the CS. (E) A case of left thalamic haemorrhage with positive NOTCH3 p.R544C mutation, was scored 2 for frontal and parietal lobe WML, with pattern 1 change in CS. (F) A case of left thalamic haemorrhage with positive NOTCH3 p.R544C mutation was scored 2 for frontal and parietal lobe WML, with pattern 2 change in the CS. Note that the ventricular-level white matter also reveals extensive WML reaching the grey–white matter interface. CS, centrum semiovale; ICH, intracerebral haemorrhage; WML, white matter lesion.

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    Figure 2

    Flowchart of participant recruitment. FSGC, Formosan Stroke Genetic Consortium; ICH, intracerebral haemorrhage; NTUH, National Taiwan University Hospital; SAH, subarachnoid haemorrhage; TIA, transient ischaemic attack.

  • Figure 3
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    Figure 3

    The presence of CT features across different age groups between patients with and without NOTCH3 p.R544C mutation. (A) Prominent juxtacortical white matter lesion (WML), (B) maximum WML score, (C) prominent lobar lacune and (D) maximum cerebral atrophy score. P value was derived from the Cochrane-Mantel-Haenszel test.

Tables

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  • Table 1

    Clinical characteristics between patients with ICH with and without NOTCH3 p.R544C mutation

    NOTCH3 mutation (−) n=286 NOTCH3 mutation (+) n=13P value
    Age61.3±14.764.2±12.10.44
    Male sex194 (67.8%)8 (61.5%)0.64
    Medical history
     Hypertension263 (92.0%)11 (84.6%)0.30
     Diabetes mellitus88 (31.0%)5 (38.5%)0.55
     Hyperlipidaemia89 (31.1%)9 (69.2%) 0.004
     Smoking104 (36.6%)3 (23.1%)0.39
     Heart disease68 (23.9%)1 (7.7%)0.31
     Previous ischaemic stroke29 (10.1%)2 (15.4%)0.65
     Previous ICH27 (9.4%)3 (23.1%)0.16
     Parental stroke72 (25.4%)4 (30.8%)0.75
     Sibling stroke37 (13.1%)4 (30.8%)0.09
    ICH location0.39
     Thalamus77 (26.9%)6 (46.2%)
     Basal ganglia106 (37.1%)3 (23.1%)
     Cortical-subcortical55 (19.2%)1 (7.7%)
     Infratentorium46 (16.1%)3 (23.1%)
     Multiple or others2 (1.0%)0 (0%)
    ICH size, mL14.2±17.913.4±17.60.30
    IVH90 (31.7%)4 (30.8%)0.99
    Admission status
     Glasgow coma scale12.6±3.513.0±3.20.58
     Systolic blood pressure182.7±37.8185.0±29.90.76
     Diastolic blood pressure101.7±25.0100.5±14.20.96
     Heart rate86.3±17.886.0±23.20.36
     NIHSS13.0±9.513.1±11.50.77
     ICH score1.2±1.21.2±1.10.96
    Discharge status
     Length of stay, days15.5±14.410.9±5.70.48
     NIHSS at discharge10.1±11.613.8±14.00.37
     Change of NIHSS−3.3±8.30.7±7.1 0.02
     Barthel index59.6±36.839.2±44.90.13
     Modified Rankin scale2.9±1.63.5±1.90.20
    • Numbers in bold indicating statistical significance (P<0.05).

    • ICH, intracerebral haemorrhage; IVH, intraventricular haemorrhage; NIHSS, National Institute of Health Stroke Scale.

  • Table 2

    CT features distinguishing patients with ICH with and without NOTCH3 p.R544C mutation

    NOTCH3 mutation (−), n=286 NOTCH3 mutation (+), n=13P valueUnadjusted OR (95% CI)Demographic-adjusted OR (95% CI)*
    Anterior WML score0.9±0.81.4±0.9 0.03 2.23 (1.05 to 4.74) 2.84 (1.22 to 6.60)
    Posterior WML score0.7±0.81.4±0.9 0.01 2.44 (1.24 to 4.81) 3.56 (1.60 to 7.91)
    Total WML score1.6±1.52.8±1.7 0.02 1.61 (1.11 to 2.35) 1.99 (1.27 to 3.12)
    Prominent juxtacortical WML47 (16.4%)9 (69.2%) <0.001 10.6 (3.31 to 34.3) 20.9 (4.94 to 88.6)
     Pattern 126 (55.3%)4 (44.4%)0.72
     Pattern 221 (44.7%)5 (55.6%)
    Anterior temporal lobe WML1 (0.35%)0 (0%)0.83NANA
    External capsule WML33 (11.5%)6 (46.2%) <0.001 6.56 (2.14 to 20.1) 8.28 (2.27 to 30.2)
    Cortical atrophy score0.7±0.71.0±0.80.241.56 (0.77 to 3.17)1.85 (0.69 to 4.96)
    Central atrophy score0.9±0.81.2±1.00.251.51 (0.79 to 2.91)1.75 (0.74 to 4.14)
    Total atrophy score1.6±1.52.2±1.70.231.28 (0.89 to 1.83)1.44 (0.87 to 2.41)
    Presence of lacune125 (43.7%)8 (61.5%)0.261.99 (0.66 to 5.98)2.15 (0.72 to 6.42)
    Number of lacune1.2±1.91.9±2.10.131.18 (0.95 to 1.47)1.21 (0.96 to 1.51)
    Prominent lobar lacune25 (8.7%)3 (23.1%)0.113.42 (0.94 to 12.5) 3.91 (1.03 to 14.8)
    • Numbers in bold indicating statistical significance (P<0.05).

    • *Adjusted by age, sex and hyperlipidaemia.

    • WML, white matter lesion.

  • Table 3

    Performance of clinical and CT features in predicting NOTCH3 p.R544C mutation

    aOR (95% CI)*AUC-ROC (95% CI)P value †
    Total WML score0.79 (0.37 to 1.66)0.69 (0.52 to 0.86) 0.047
    External capsule WML1.70 (0.39 to 7.33)0.67 (0.53 to 0.82)0.141
    Prominent lobar lacune2.32 (0.53 to 10.13)0.57 (0.45 to 0.69) 0.038
    Prominent juxtacortical WML20.4 (1.54 to 271.0)0.76 (0.63 to 0.90)–
    • Numbers in bold indicating statistical significance (P<0.05).

    • *Simultaneously adjusted with these three imaging markers.

    • †Compared with prominent juxtacortical WML alone.

    • aOR, adjusted OR; AUC-ROC, area under the receive operating characteristic curve; WML, white matter lesion.

  • Table 4

    Comparison between patients with NOTCH3 p.R544C mutation with and without prominent juxtacortical white matter lesion

    NOTCH3 mutation, juxtacortical WML (+) NOTCH3 mutation, juxtacortical WML (−)Non-mutation, juxtacortical WML (+)
    Number9447
    Age67.3±10.157.3±14.671.8±11.7
    Male sex6 (66.7%)2 (50.0%)32 (68.1%)
    ICH location
     Thalamus4 (44.4%)2 (50.0%)19 (40.4%)
     Basal ganglia2 (22.2%)1 (25.0%)8 (17.0%)
     Cortical-subcortical1 (11.1%)0 (0.0%)11 (23.4%)
     Infratentorium2 (22.2%)1 (25.0%)9 (19.1%)
    ICH size, mL13.4±17.713.4±21.313.0±17.5
    IVH3 (33.3%)1 (25.0%)21 (44.7%)
    CT features
     Anterior WML score1.9±0.30.3±0.51.9±0.3
     Posterior WML score1.9±0.30.3±0.51.9±0.3
     Total WML score3.8±0.40.5±1.03.8±0.5
     Anterior temporal lobe WML0 (0%)0 (0%)1 (2.1%)
     External capsule WML6 (66.7%)0 (0%)21 (44.7%)
     Cortical atrophy score1.2±0.80.5±0.61.2±0.7
     Central atrophy score1.4±0.90.5±1.01.6±0.6
     Total atrophy score2.7±1.71.0±1.42.9±1.1
     Presence of lacune7 (77.8%)1 (25.0%)30 (63.8%)
     Number of lacune2.7±2.20.3±0.52.3±2.8
     Prominent lobar lacune2 (22.2%)1 (25.0%)8 (17.0%)
    • ICH, intracerebral haemorrhage; IVH, intraventricular haemorrhage; WML, white matter lesion.

  • Table 5

    Comparison of the neuroimaging features between patients who had received both the CT and MRI scans

    N=145CTMRIKappa values (95% CI)
    Anterior WML≥246 (31.7%)60 (41.4%)0.74 (0.62 to 0.85)
    Posterior WML ≥243 (29.7%)67 (46.2%)0.63 (0.51 to 0.75)
    Prominent juxtacortical WML33 (22.9%)44 (30.6%)0.81 (0.70 to 0.91)
    Anterior temporal lobe WML0 (0%)1 (0.7%)0.66 (0.04 to 1.00)
    External capsule WML23 (16.0%)22 (15.3%)0.97 (0.92 to 1.00)
    Presence of lacune70 (48.6%)76 (52.8%)0.81 (0.71 to 0.90)
    • WML, white matter lesion.

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Prominent juxtacortical white matter lesion hallmarks NOTCH3-related intracerebral haemorrhage
Chih-Hao Chen, Hao-Chia Hsu, Yu-Wen Cheng, Ya-Fang Chen, Sung-Chun Tang, Jiann-Shing Jeng
Stroke and Vascular Neurology Feb 2022, 7 (1) 38-46; DOI: 10.1136/svn-2021-001020

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Prominent juxtacortical white matter lesion hallmarks NOTCH3-related intracerebral haemorrhage
Chih-Hao Chen, Hao-Chia Hsu, Yu-Wen Cheng, Ya-Fang Chen, Sung-Chun Tang, Jiann-Shing Jeng
Stroke and Vascular Neurology Feb 2022, 7 (1) 38-46; DOI: 10.1136/svn-2021-001020
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Prominent juxtacortical white matter lesion hallmarks NOTCH3-related intracerebral haemorrhage
Chih-Hao Chen, Hao-Chia Hsu, Yu-Wen Cheng, Ya-Fang Chen, Sung-Chun Tang, Jiann-Shing Jeng
Stroke and Vascular Neurology Feb 2022, 7 (1) 38-46; DOI: 10.1136/svn-2021-001020
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