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Retrospective Cohort Study
Copyright ©The Author(s) 2026.
World J Radiol. Jan 28, 2026; 18(1): 115504
Published online Jan 28, 2026. doi: 10.4329/wjr.v18.i1.115504
Table 1 Clinical characteristics of patients in the training and testing cohorts, n (%)
CharacteristicTraining cohort (n = 225)
Testing cohort (n = 97)
Expander (n = 83, 36.9%)
Non-expander (n = 142, 63.1%)
P value
Expander (n = 35, 36.1%)
Non-expander (n = 62, 63.9%)
P value
Demographic characteristics
Age, median (IQR), years61 (28)61 (24)0.65162 (31)59 (29)0.276
Gender, male49 (59.0)81 (57.0)0.7728 (80.0)33 (53.2)0.1
Clinical features
Time to arrival, median (IQR), hour1.6 (0.7)1.5 (0.3)0.0921.4 (0.6)1.6 (0.3)0.363
Time to baseline CT, median (IQR), hour2.4 (1.1)2.2 (0.7)0.1011.8 (0.7)1.9 (1.3)0.925
Systolic BP, median (IQR), mmHg146 (40)147 (48)0.296142 (39)144 (48)0.976
Diastolic BP, median (IQR), mmHg86 (25)86 (27)0.97482 (27)85 (22)0.905
Heart rate, median (IQR), bpm80 (18)80 (18)0.98884 (24)80 (20)0.86
GCS score, median (IQR)13 (4)13 (5)0.63413 (3)14 (3)0.847
NIHSS score, median (IQR)6 (14)6 (12)0.8665 (11)7 (11)0.754
Medical history
Hypertension43 (51.8)67 (47.2)0.50318 (51.4)26 (41.9)0.367
Diabetes mellitus, male8 (9.6)14 (9.9)0.9573 (8.6)6 (9.7)1
Dyslipidemia3 (3.6)3 (2.1)0.6721 (2.9)1 (1.6)1
Atrial fibrillation3 (3.6)2 (1.4)0.3611 (2.9)0 (0.0)0.361
Acute coronary syndrome3 (3.6)4 (2.8)0.7110 (0.0)4 (6.5)0.293
Ischemic stroke0 (0.0)2 (1.4)0.5321 (2.9)1 (1.6)1
Current smoking6 (7.2)7 (4.9)0.5572 (5.7)2 (3.2)0.618
Drinking history2 (2.4)4 (2.8)10 (0.0)0 (0.0)1
Medication history
Anti-platelet therapy6 (7.2)5 (3.5)0.221 (2.9)2 (3.2)1
Anti-coagulant therapy7 (8.4)4 (2.8)0.1043 (8.6)1 (1.6)0.132
Table 2 Predictive performance of radiological models, clinical model and clinical-radiological model in prediction of early enlargement of spontaneous intracerebral hemorrhage on patients in the testing cohort
Model
ROI
AUC (95%CI)
Accuracy
Sensitivity
Specificity
PPV
NPV
F1 score
Brier score
XceptionHemorrhage0.638 (0.526-0.750)61.8668.5758.0648.0076.600.5650.507
Perihematomal edema0.641 (0.529-0.753)62.8965.7161.2948.9476.000.5610.535
Combined0.648 (0.535-0.761)61.8654.2966.1347.5071.930.5070.865
VGG16Hemorrhage0.647 (0.535-0.759)63.9234.2980.6550.0068.490.4070.517
Perihematomal edema0.607 (0.501-0.720)57.7345.7164.5242.1167.800.4380.442
Combined0.679 (0.567-0.791)59.7988.5743.5546.9787.100.6140.519
VGG19Hemorrhage0.571 (0.500-0.683)58.7668.5753.2345.2875.000.5450.402
Perihematomal edema0.667 (0.555-0.779)60.8280.0050.0047.4681.580.5960.523
Combined0.725 (0.613-0.837)68.0480.0061.2953.8584.440.6440.551
ResNet50Hemorrhage0.747 (0.636-0.858)63.9282.8653.2350.0084.620.6240.686
Perihematomal edema0.659 (0.547-0.771)46.3971.4332.2637.3166.670.4900.575
Combined0.774 (0.662-0.886)60.8288.5745.1647.6987.500.6200.703
InceptionV3Hemorrhage0.620 (0.511-0.729)55.6774.2945.1643.3375.680.5470.491
Perihematomal edema0.637 (0.528-0.746)56.7065.7151.6143.4072.730.5230.549
Combined0.704 (0.592-0.816)62.8968.5759.6848.9877.080.5710.587
InceptionResNetV2Hemorrhage0.663 (0.552-0.774)69.0754.2977.4257.5875.000.5590.549
Perihematomal edema0.683 (0.571-0.795)53.6177.1440.3242.1975.760.5450.628
Combined0.728 (0.615-0.841)64.9582.8654.8450.8885.000.6300.588
Handcrafted radiomicsHemorrhage0.564 (0.502-0.626)53.6140.0061.2936.8464.410.3840.446
Perihematomal edema0.507 (0.500-0.563)55.6768.5748.3942.8673.170.5270.358
Combined0.635 (0.527-0.743)54.6462.8650.0041.5170.450.5000.579
Radiological model-0.713 (0.600-0.826)72.1660.0079.0361.7677.780.6090.576
Clinical model-0.534 (0.501-0.567)55.6745.7161.2940.0066.670.4270.414
Integrated model-0.828 (0.714-0.942)72.8970.0074.5258.8484.070.6380.749
Table 3 Predictive performance of radiological models, clinical model and clinical-radiological model in prediction of hospital death on patients in the testing cohort
Model
ROI
AUC (95%CI)
Accuracy
Sensitivity
Specificity
PPV
NPV
F1 score
Brier score
XceptionHemorrhage0.517 (0.501-0.533)70.1050.0072.4117.2492.650.2560.132
Perihematomal edema0.513 (0.508-0.520)64.9530.0068.9710.0089.550.1500.103
Combined0.549 (0.510-0.588)76.2930.0081.6115.7991.030.2070.153
VGG16Hemorrhage0.580 (0.528-0.632)57.7340.0059.7710.2689.660.1630.249
Perihematomal edema0.584 (0.523-0.645)57.7320.0062.075.7187.100.0890.092
Combined0.607 (0.532-0.682)75.2630.0080.4615.0090.910.2000.154
VGG19Hemorrhage0.586 (0.555-0.617)63.9230.0067.8289.6889.390.1460.099
Perihematomal edema0.606 (0.564-0.648)67.0110.0073.564.1787.670.0590.092
Combined0.654 (0.567-0.741)68.0420.0073.568.0088.890.1140.106
ResNet50Hemorrhage0.570 (0.510-0.630)67.0140.0070.1113.3391.040.2000.173
Perihematomal edema0.561 (0.512-0.610)71.1350.0073.5617.8692.750.2630.149
Combined0.705 (0.606-0.804)64.9560.0065.5216.6793.440.2610.254
InceptionV3Hemorrhage0.508 (0.500-0.517)72.1640.0075.8616.0091.670.2290.309
Perihematomal edema0.517 (0.509-0.525)62.8940.0065.5211.7690.480.1820.120
Combined0.547 (0.516-0.578)68.0450.0070.1116.1392.420.2440.142
InceptionResNetV2Hemorrhage0.502 (0.500-0.508)65.9830.0070.1110.3489.710.1540.136
Perihematomal edema0.597 (0.535-0.659)72.1640.0075.8616.0091.670.2290.262
Combined0.615 (0.540-0.690)70.1060.0071.2619.3593.940.2930.189
Handcrafted radiomicsHemorrhage0.600 (0.546-0.654)70.1060.0071.2619.3593.940.2930.223
Perihematomal edema0.516 (0.505-0.527)57.7330.0060.928.1188.330.1280.127
Combined0.603 (0.534-0.672)67.0150.0068.9715.6392.310.2380.168
Hematoma expansion-0.546 (0.524-0.568)65.9830.0070.1110.3489.710.1540.158
Radiological model-0.655 (0.576-0.734)67.0130.0071.2610.7189.860.1580.208
Integrated model-0.754 (0.646-0.862)71.1360.0072.4120.0094.030.3000.241