From: Prediction of orthognathic surgery plan from 3D cephalometric analysis via deep learning
Characteristics | Development set (No. = 383) | Clinical test set (No. = 49) |
---|---|---|
Gender—No. (%) | ||
Male | 140(36.6) | 10(20.4) |
Female | 243(63.4) | 39(79.6) |
Age (in year) | 23.3 ± 4.5 | 25.0 ± 4.7 |
Skeletal Classification—No. (%) | ||
I | 83(21.7) | 10(20.4) |
II | 66(17.2) | 8 (16.3) |
III | 234(61.1) | 31(63.3) |
Surgery Type*- No. (%) | ||
L + B | 297(77.6) | 31(63.3) |
L + B + G | 61(15.9) | 11(22.4) |
L | 1(0.3) | 0(0) |
L + G | 0(0) | 0(0) |
B | 17(4.4) | 4(8.2) |
B + G | 7(1.8) | 3(6.1) |
Chief Surgeon—No. (%) | ||
Yu | 184(48.0) | 22(44.9) |
Shen | 76(19.9) | 10(20.4) |
Shi | 64(16.7) | 11(22.4) |
Zhang | 59(15.4) | 6(12.3) |