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Stepwise improvement in intracerebral haematoma expansion prediction with advanced imaging: a comprehensive comparison of existing scores

Umberto Pensato, Koji Tanaka, Chitapa Kaveeta, Johanna Ospel, MacKenzie Horn, David Rodriguez-Luna, Nishita Singh, Ankur Banerjee, Sanchea Wasyliw, Kennedy Horn, Amy Bobyn, Anneliese Neweduk, Wu Qiu, Mayank Goyal, Bijoy Menon, Andrew Demchuk
DOI: 10.1136/svn-2024-003988 Published 7 April 2025
Umberto Pensato
1Department of Neurology, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan, Italy
2Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Milan, Italy
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Koji Tanaka
3Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
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Chitapa Kaveeta
4Department of Medicine, Mahidol University, Salaya, Thailand
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Johanna Ospel
5Department of Radiology, University of Calgary, Calgary, Alberta, Canada
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MacKenzie Horn
3Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
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David Rodriguez-Luna
6Department of Neurology, Vall d’Hebron University Hospital, Barcelona, Spain
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Nishita Singh
7Department of Neurology, University of Manitoba, Winnipeg, Manitoba, Canada
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Ankur Banerjee
8Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
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Sanchea Wasyliw
9Department of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Kennedy Horn
3Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
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Amy Bobyn
3Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
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Anneliese Neweduk
3Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
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Wu Qiu
10Huazhong University of Science and Technology, Wuhan, Hubei, China
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Mayank Goyal
5Department of Radiology, University of Calgary, Calgary, Alberta, Canada
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Bijoy Menon
3Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
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Andrew Demchuk
3Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
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Figures

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  • Figure 1
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    Figure 1

    Flow chart of literature review and reasons for exclusion. Sixteen scores were derived from the final 14 studies. *Included the Spot Sign Score, 9-Point, BRAIN, PREDICT A/B (Prediction of Haematoma Growth and Outcome in Patients With Intracerebral Haemorrhage Using the CT-Angiography Spot Sign), HEP (Haematoma Expansion Prediction), Acute ICH Growth Score, HEAVN, BAT, Basal Ganglia Score and NAG Score. BAT, Blend sign, Any hypodensity, Time; HEAVN, Heterogeneity, peripheral Oedema, Anticoagulant use, Volume, Niveau formation; ICH, intracerebral haemorrhage; NAG, NIHSS, Anticoagulation, Glucose; NIHSS, National Institutes of Health Stroke Scale.

  • Figure 2
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    Figure 2

    The heatmap compares the performance (measured as c-statistics) of various predictive scores for intracerebral haematoma expansion (≥6 mL or ≥33%) grouped by imaging modality, including non-contrast CT (NCCT), single-phase CT angiography (sCTA) and multiphase CT angiography (mCTA). The colour gradient highlights the relative differences in performance, with darker colour indicating high c-statistics.

Tables

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  • Table 1

    Patient characteristics

    Acute ICH patients
    (n=217)
    Demographics
     Age (years) (median, IQR)70 (60–80)
     Sex (F) (n, %)86 (39.6)
    Medical History
     Diabetes (n, %)41 (18.9)
     Arterial hypertension (n, %)175 (80.7)
     Previous ischaemic stroke (n, %)16 (7.4)
     Previous haemorrhagic stroke (n, %)5 (2.3)
     Prior anticoagulants use37 (18.0)
    Baseline clinical and radiological features
     NIHSS (median, IQR)10 (5–20)
     GCS (median, IQR)15 (11–15)
     Initial ICH volume (mL) (median, IQR)18.9 (5.5–34.2)
     Known onset time (n, %)103 (47.5)
     Onset-to-imaging time (min) (median, IQR)225 (109–392)
     uHG (mL/h) (median, IQR)4.4 (1.3–12.2)
     ICH location deep (n, %)116 (53.5)
    Radiological markers of expansion
     Spot Sign (n, %)69 (31.8)
     Hypodensity sign (n, %)74 (34.1)
     Blend sign (n, %)32 (14.8)
     Black hole (n, %)27 (12.4)
     Island sign (n, %)54 (24.9)
    Radiological outcomes
     Significant HE (≥6 mL or≥33%)51 (23.5)
     Severe HE (≥12.5 mL or≥66%)35 (16.1)
     Absolute HE (mL) (median, IQR)0.2 (0–4.5)
     Relative HE (%) (median, IQR)2% (0–19)
     Follow-up ICH volume20.1 (6.4–43.5)
    • GCS, Glasgow Coma Scale; HE, haematoma expansion; ICH, intracerebral haematoma; NIHSS, National Institutes of Health Stroke Scale; uHG, ultra-early haematoma growth.

  • Table 2

    Discrimination of non-contrast CT (NCCT) Scores to predict haematoma expansion

    Haematoma expansion predictionSevere haematoma expansion prediction
    AUC (95% CI)AICBICBrier ScoreAUC (95% CI)AICBICBrier Score
    BAT Score0.605 (0.525 to 0.686)235.11241.870.1760.594 (0.500 to 0.689)192.37199.130.133
    BRAIN Score0.516 (0.430 to 0.603)240.47247.230.1800.505 (0.404 to 0.605)195.72202.480.135
    Basal Ganglia Score0.612 (0.533 to 0.691)236.65243.410.1770.569 (0.473 to 0.665)194.67201.430.135
    NAG Score0.522 (0.455 to 0.582)240.28247.040.1800.544 (0.466 to 0.623)194.79201.550.135
    HEAVN Score0.674 (0.589 to 0.760)225.50232.260.1670.654 (0.554 to 0.754)186.33193.090.129
    NCCT Expansion Score0.647 (0.589 to 0.760)228.72235.480.1700.666 (0.570 to 761)184.15190.910.128
    ‘Li et al22 NCCT Score’0.649 (0.565 to 0.733)230.44237.210.1710.623 (0.523 to 0.723)190.43197.200.132
    ‘Kong et al23 NCCT Score’0.602 (0.517 to 0.687)234.69241.450.1750.601 (0.501 to 0.700)191.69198.450.133
    • AIC, Akaike information criterion; AUC, area under the curve; BAT, Blend sign, Any hypodensity, Time; BIC, Bayesian information criterion; HEAVN, Heterogeneity, peripheral Oedema, Anticoagulant use, Volume, Niveau formation; NAG, NIHSS, Anticoagulation, Glucose; NIHSS, National Institutes of Health Stroke Scale.

  • Table 3

    Discrimination of sCTA scores to predict haematoma expansion

    Haematoma expansion predictionSevere haematoma expansion prediction
    AUC (95% CI)AICBICBrier ScoreAUC (95% CI)AICBICBrier Score
    ‘Applied to sCTA-Spot Sign Score’0.725 (0.650 to 0.800)200.84207.60.1430.738 (0.649 to 0.826)164.69171.450.111
    9-Point Score0.717
    (0.630 to 0.803)
    216.86223.620.1580.726 (0.629 to 0.823)176.53183.290.122
    PREDICT-A Score0.637 (0.548 to 0.726)230.21236.970.1700.653 (0.552 to 0.755)186.38193.140.129
    PREDICT-B Score0.627 (0.533 to 0.721)231.61238.370.1710.651 (0.545 to 0.756)187.12193.880.129
    Acute ICH Growth Score0.688 (0.604 to 0.771)222.93229.690.1650.678 (0.573 to 0.778)182.64189.400.126
    sCTA Expansion Score0.720 (0.634 to 0.805)207.29214.050.1480.740 (0643 to 0.837)167.39174.150.114
    • AIC, Akaike information criterion; AUC, area under the curve; BIC, Bayesian information criterion; ICH, intracerebral haematoma; sCTA, single-phase CT angiography.

  • Table 4

    Discrimination of mCTA Scores to predict haematoma expansion

    Haematoma expansion predictionSevere haematoma expansion prediction
    AUC (95% CI)AICBICBrier ScoreAUC (95% CI)AICBICBrier Score
    ‘Applied to mCTA-Spot Sign Score’0.814 (0.746 to 0.882)178.07184.840.1250.828
    (0.753 to 0.903)
    147.21153.970.101
    mCTA Expansion Score0.800
    (0.732 to 0.868)
    184.37191.130.1310.813 (0.740 to 0.887)161.31158.070.106
    • AIC, Akaike information criterion; AUC, area under the curve; BIC, Bayesian information criterion; mCTA, multiphase CT angiography.

  • Table 5

    Results of the DeLong test for pairwise comparison of c-statistics of the best performing score for each imaging category

    Prediction of HEPrediction of severe HE
    Difference in c-statisticsZ-statisticP valueDifference in c-statisticsZ-statisticsP value
    sCTA vs NCCT0.051.0390.2990.071.3190.187
    mCTA vs sCTA0.092.9900.0030.092.4920.013
    mCTA vs NCCT0.142.7240.0060.163.2330.001
    • NCCT scores used in the analyses were the HEAVN score for HE and the NCCT Expansion Score for severe HE.

    • HE, haematoma expansion; HEAVN, Heterogeneity, peripheral Oedema, Anticoagulant use, Volume, Niveau formation; mCTA, multiphase CT angiography; NCCT, non-contrast CT; sCTA, single-phase CT angiography.

Supplementary Materials

  • Figures
  • Tables
  • Supplementary data

    [svn-2024-003988supp001.pdf]

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Stepwise improvement in intracerebral haematoma expansion prediction with advanced imaging: a comprehensive comparison of existing scores
Umberto Pensato, Koji Tanaka, Chitapa Kaveeta, Johanna Ospel, MacKenzie Horn, David Rodriguez-Luna, Nishita Singh, Ankur Banerjee, Sanchea Wasyliw, Kennedy Horn, Amy Bobyn, Anneliese Neweduk, Wu Qiu, Mayank Goyal, Bijoy Menon, Andrew Demchuk
Stroke and Vascular Neurology Apr 2025, svn-2024-003988; DOI: 10.1136/svn-2024-003988

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Stepwise improvement in intracerebral haematoma expansion prediction with advanced imaging: a comprehensive comparison of existing scores
Umberto Pensato, Koji Tanaka, Chitapa Kaveeta, Johanna Ospel, MacKenzie Horn, David Rodriguez-Luna, Nishita Singh, Ankur Banerjee, Sanchea Wasyliw, Kennedy Horn, Amy Bobyn, Anneliese Neweduk, Wu Qiu, Mayank Goyal, Bijoy Menon, Andrew Demchuk
Stroke and Vascular Neurology Apr 2025, svn-2024-003988; DOI: 10.1136/svn-2024-003988
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Stepwise improvement in intracerebral haematoma expansion prediction with advanced imaging: a comprehensive comparison of existing scores
Umberto Pensato, Koji Tanaka, Chitapa Kaveeta, Johanna Ospel, MacKenzie Horn, David Rodriguez-Luna, Nishita Singh, Ankur Banerjee, Sanchea Wasyliw, Kennedy Horn, Amy Bobyn, Anneliese Neweduk, Wu Qiu, Mayank Goyal, Bijoy Menon, Andrew Demchuk
Stroke and Vascular Neurology Apr 2025, svn-2024-003988; DOI: 10.1136/svn-2024-003988
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