Table 1 Volume-based evaluation for all models evaluated. There are 98 patients with growing (GRW) and 54 with shrinking (SHR) volume of WMH. “CP” stands for “Correct Prediction”, “CPinEVI” stands for “Correct Prediction in Estimated Volume Interval”, and “(CP+WP)inEVI” stands for “Correct Prediction + Wrong Prediction but still in EVI”. Symbol ↑ indicates higher values are better, while symbol → 0 indicates that values closer to 0 are better. Each evaluation measurement’s best and second-best values are written in bold and underlined, respectively. PUNet-wSL-vol model is highlighted as it emerged as the best-performing model to estimate the future volume of WMH.

From: Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information

Model’s name

Prediction↑

Estimated volume interval (n = 152) ↑

Volumetric error

GRW

SHR

CP

CPinEVI

(CP + WP)inEVI

(std) → 0

UNet43

79.59%

66.67%

67.11%

48.03%

58.55%

1.267 (8.623)

UNet-vol

80.61%

68.52%

67.11%

46.05%

55.26%

− 0.194 (8.107)

UNet-wSL

72.45%

64.81%

71.71%

38.16%

47.37%

1.038 (9.427)

UNet-wSL-vol

84.69%

59.26%

71.71%

48.68%

59.87%

0.027 (8.662)

PUNet26

78.57%

46.30%

67.11%

47.37%

61.18%

− 1.774 (9.798)

PUNet-vol

83.67%

51.85%

71.71%

46.71%

60.53%

− 0.834 (8.657)

PUNet-wSL

75.51%

64.81%

71.71%

48.68%

59.21%

0.227 (10.427)

PUNet-wSL-vol

74.49%

74.07%

74.34%

53.29%

62.50%

− 0.009 (9.751)

Att-PUNet

70.41%

79.63%

73.68%

45.39%

55.26%

3.182 (8.447)

Att-PUNet-vol

81.63%

55.56%

72.37%

43.42%

54.61%

− 0.555 (9.043)

Att-PUNet-wSL

86.73%

55.56%

75.66%

51.97%

59.87%

− 0.598 (10.901)

Att-PUNet-wSL-vol

81.63%

64.81%

75.66%

43.42%

53.95%

0.270 (9.050)