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Table 4 The correlation between dosimetric differences and the geometric metrics

From: The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer

Site

Structure

Dosimetric differences

Geometric metrics

Correlation analysis

Rectal

Bladder

ΔV40 (%)

DICE

R = -0.01, p = 0.95

MDA

R = 0.17, p = 0.46

Jaccard

R = -0.01, p = 0.95

HD

R = 0.13, p = 0.60

ΔDmean (cGy)

DICE

R = -0.14, p = 0.55

MDA

R = 0.06, p = 0.81

Jaccard

R = -0.14, p = 0.55

HD

R = 0.13, p = 0.59

Femoral heads

ΔDmean (cGy)

DICE

R = -0.16, p = 0.34

MDA

R = 0.28, p = 0.08

Jaccard

R = -0.16, p = 0.34

HD

R = 0.40, p = 0.01

NPC

Eyes

ΔDmax (cGy)

DICE

R = 0.27, p = 0.09

MDA

R = 0.16, p = 0.32

Jaccard

R = 0.27, p = 0.09

HD

R = 0.20, p = 0.22

Spinal cord

ΔDmax (cGy)

DICE

R = 0.08, p = 0.74

MDA

R = -0.21, p = 0.37

Jaccard

R = 0.08, p = 0.74

HD

R = -0.15, p = 0.51

Brainstem

ΔDmax (cGy)

DICE

R = 0.68, p = 0.00

MDA

R = -0.28, p = 0.24

Jaccard

R = 0.68, p = 0.00

HD

R = -0.12, p = 0.63

Parotids

ΔV30 (%)

DICE

R = 0.02, p = 0.90

MDA

R = 0.05, p = 0.76

Jaccard

R = 0.02, p = 0.90

HD

R = -0.15, p = 0.35

ΔDmean (cGy)

DICE

R = -0.16, p = 0.33

MDA

R = 0.19, p = 0.23

Jaccard

R = -0.16, p = 0.33

HD

R = 0.06, p = 0.70

Lens

ΔDmax (cGy)

DICE

R = 0.14, p = 0.39

MDA

R = -0.14, p = 0.37

Jaccard

R = 0.14, p = 0.39

HD

R = -0.10, p = 0.56

Optic nerves

ΔDmax (cGy)

DICE

R = -0.19, p = 0.23

MDA

R = 0.06, p = 0.69

Jaccard

R = -0.19, p = 0.23

HD

R = -0.01, p = 0.96

Temporal lobes

ΔDmax (cGy)

DICE

R = -0.16, p = 0.34

MDA

R = 0.14, p = 0.38

Jaccard

R = -0.16, p = 0.34

HD

R = -0.04, p = 0.80

Oral cavity

ΔDmean (cGy)

DICE

R = -0.33, p = 0.16

MDA

R = 0.30, p = 0.20

Jaccard

R = -0.33, p = 0.16

HD

R = 0.13, p = 0.59

Larynx

ΔDmean (cGy)

DICE

R = -0.24, p = 0.30

MDA

R = 0.31, p = 0.18

Jaccard

R = -0.24, p = 0.30

HD

R = 0.24, p = 0.31