©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
Published online Jan 28, 2026. doi: 10.4329/wjr.v18.i1.115504
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 |
| Xception | Hemorrhage | 0.638 (0.526-0.750) | 61.86 | 68.57 | 58.06 | 48.00 | 76.60 | 0.565 | 0.507 |
| Perihematomal edema | 0.641 (0.529-0.753) | 62.89 | 65.71 | 61.29 | 48.94 | 76.00 | 0.561 | 0.535 | |
| Combined | 0.648 (0.535-0.761) | 61.86 | 54.29 | 66.13 | 47.50 | 71.93 | 0.507 | 0.865 | |
| VGG16 | Hemorrhage | 0.647 (0.535-0.759) | 63.92 | 34.29 | 80.65 | 50.00 | 68.49 | 0.407 | 0.517 |
| Perihematomal edema | 0.607 (0.501-0.720) | 57.73 | 45.71 | 64.52 | 42.11 | 67.80 | 0.438 | 0.442 | |
| Combined | 0.679 (0.567-0.791) | 59.79 | 88.57 | 43.55 | 46.97 | 87.10 | 0.614 | 0.519 | |
| VGG19 | Hemorrhage | 0.571 (0.500-0.683) | 58.76 | 68.57 | 53.23 | 45.28 | 75.00 | 0.545 | 0.402 |
| Perihematomal edema | 0.667 (0.555-0.779) | 60.82 | 80.00 | 50.00 | 47.46 | 81.58 | 0.596 | 0.523 | |
| Combined | 0.725 (0.613-0.837) | 68.04 | 80.00 | 61.29 | 53.85 | 84.44 | 0.644 | 0.551 | |
| ResNet50 | Hemorrhage | 0.747 (0.636-0.858) | 63.92 | 82.86 | 53.23 | 50.00 | 84.62 | 0.624 | 0.686 |
| Perihematomal edema | 0.659 (0.547-0.771) | 46.39 | 71.43 | 32.26 | 37.31 | 66.67 | 0.490 | 0.575 | |
| Combined | 0.774 (0.662-0.886) | 60.82 | 88.57 | 45.16 | 47.69 | 87.50 | 0.620 | 0.703 | |
| InceptionV3 | Hemorrhage | 0.620 (0.511-0.729) | 55.67 | 74.29 | 45.16 | 43.33 | 75.68 | 0.547 | 0.491 |
| Perihematomal edema | 0.637 (0.528-0.746) | 56.70 | 65.71 | 51.61 | 43.40 | 72.73 | 0.523 | 0.549 | |
| Combined | 0.704 (0.592-0.816) | 62.89 | 68.57 | 59.68 | 48.98 | 77.08 | 0.571 | 0.587 | |
| InceptionResNetV2 | Hemorrhage | 0.663 (0.552-0.774) | 69.07 | 54.29 | 77.42 | 57.58 | 75.00 | 0.559 | 0.549 |
| Perihematomal edema | 0.683 (0.571-0.795) | 53.61 | 77.14 | 40.32 | 42.19 | 75.76 | 0.545 | 0.628 | |
| Combined | 0.728 (0.615-0.841) | 64.95 | 82.86 | 54.84 | 50.88 | 85.00 | 0.630 | 0.588 | |
| Handcrafted radiomics | Hemorrhage | 0.564 (0.502-0.626) | 53.61 | 40.00 | 61.29 | 36.84 | 64.41 | 0.384 | 0.446 |
| Perihematomal edema | 0.507 (0.500-0.563) | 55.67 | 68.57 | 48.39 | 42.86 | 73.17 | 0.527 | 0.358 | |
| Combined | 0.635 (0.527-0.743) | 54.64 | 62.86 | 50.00 | 41.51 | 70.45 | 0.500 | 0.579 | |
| Radiological model | - | 0.713 (0.600-0.826) | 72.16 | 60.00 | 79.03 | 61.76 | 77.78 | 0.609 | 0.576 |
| Clinical model | - | 0.534 (0.501-0.567) | 55.67 | 45.71 | 61.29 | 40.00 | 66.67 | 0.427 | 0.414 |
| Integrated model | - | 0.828 (0.714-0.942) | 72.89 | 70.00 | 74.52 | 58.84 | 84.07 | 0.638 | 0.749 |
- Citation: Yang YH, Li Y. Deep learning-based imaging model to predict early hematoma enlargement and hospital mortality in spontaneous intracerebral hemorrhage. World J Radiol 2026; 18(1): 115504
- URL: https://www.wjgnet.com/1949-8470/full/v18/i1/115504.htm
- DOI: https://dx.doi.org/10.4329/wjr.v18.i1.115504