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©The Author(s) 2022.
World J Gastroenterol. Jun 14, 2022; 28(22): 2494-2508
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2494
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2494
Stage | Name | Purpose | Labels | Patients | Studies | Images |
DL learning | BD-L | Big data, to train the neural network | 2D US Dx | 2899 | 17149 | 200654 |
DL validation | BD-V | Big data, to tune model performance | 2D US Dx | 411 | 2364 | 27421 |
Testing | HP-U | Histopathology-proven group, to (a) measure the trend between DL predictions and histology (b) measure reliability across 2D US liver viewpoints | Histology | 147 | 147 | 1647 |
TM | Tri-machine data US Dx group, to (a) measure reliability across 2D US liver viewpoints and (b) measure reliability across scanners | - | 246 | 733 | 9215 | |
HP-T1 | Histology proven group to measure the trend between DL predictions and histology | Histology, CAP | 112 | 112 | 1996 |
Repeatability study | Cross-scanner agreement study | ||||||
View | n | Max RC | n | Bias | Min lower LOA | Max upper LOA | Agreement |
LLL | 342 | 0.27 (0.24, 0.29) | 237 | 0.00 (-0.01, 0.01) | -0.37 (-0.32, -0.42) | 0.37 (0.32, 0.42) | 92% |
RLL | 370 | 0.21 (0.19, 0.23) | 232 | 0.00 (-0.01, 0.01) | -0.37 (-0.33, -0.42) | 0.37 (0.33, 0.42) | 92% |
LKC | 267 | 0.30 (0.27, 0.34) | 183 | 0.00 (-0.01, 0.01) | -0.35 (-0.29, -0.41) | 0.35 (0.29, 0.41) | 93% |
SC | 297 | 0.26 (0.24, 0.29) | 182 | 0.00 (-0.01, 0.01) | -0.36 (-0.31, -0.42) | 0.36 (0.31, 0.42) | 94% |
All view groups | - | - | 237 | 0.00 (-0.01, 0.01) | -0.25 (-0.21, -0.28) | 0.24 (0.21, 0.28) | 94% |
HP-U | HP-T | |||||||||
View | n | AUC ≥ 5% | AUC ≥ 33% | AUC ≥ 66% | Acc | n | AUC ≥ 5% | AUC ≥ 33% | AUC ≥ 66% | Acc |
Complete 4 view group study1 | ||||||||||
LLL | 41 | 0.98 (0.93, 1.00) | 0.95 (0.89, 1.00) | 0.94 (0.87, 1.00) | 83% | 51 | 0.90 (0.82, 0.98) | 0.92 (0.81, 1.00) | 0.90 (0.82, 0.99) | 88% |
RLL | 41 | 0.96 (0.90, 1.00) | 0.95 (0.89, 1.00) | 0.89 (0.79, 0.99) | 85% | 51 | 0.84 (0.73, 0.95) | 0.93 (0.84, 1.00) | 0.92 (0.85, 1.00) | 96% |
LKC | 41 | 0.96 (0.90, 1.00) | 0.95 (0.89, 1.00) | 0.93 (0.84, 1.00) | 83% | 51 | 0.84 (0.73, 0.95) | 0.95 (0.90, 1.00) | 0.88 (0.79, 0.97) | 90% |
SC | 41 | 0.96 (0.90, 1.00) | 0.92 (0.84, 1.00) | 0.89 (0.79, 0.99) | 83% | 51 | 0.88 (0.79, 0.97) | 0.93 (0.86, 1.00) | 0.88 (0.77, 0.99) | 90% |
All view groups | 41 | 0.96 (0.90, 1.00) | 0.94 (0.88, 1.00) | 0.92 (0.83, 1.00) | 83% | 51 | 0.88 (0.79, 0.98) | 0.95 (0.88, 1.00) | 0.91 (0.83, 0.99) | 94% |
Individual view group study1 | ||||||||||
LLL | 103 | 0.95 (0.90, 0.99) | 0.93 (0.87, 0.98) | 0.91 (0.86, 0.97) | 80% | 96 | 0.84 (0.76, 0.93) | 0.92 (0.85, 0.99) | 0.93 (0.88, 0.98) | 90% |
RLL | 138 | 0.94 (0.91, 0.98) | 0.91 (0.86, 0.98) | 0.85 (0.78, 0.92) | 83% | 109 | 0.82 (0.74, 0.90) | 0.89 (0.83, 0.96) | 0.92 (0.87, 0.97) | 92% |
LKC | 88 | 0.96 (0.92, 1.00) | 0.92 (0.86, 0.98) | 0.84 (0.76, 0.92) | 80% | 71 | 0.81 (0.69, 0.93) | 0.93 (0.87, 0.99) | 0.89 (0.81, 0.96) | 90% |
SC | 117 | 0.93 (0.89, 0.98) | 0.91 (0.85, 0.96) | 0.86 (0.79, 0.92) | 79% | 90 | 0.86 (0.77, 0.94) | 0.89 (0.82, 0.96) | 0.90 (0.83, 0.97) | 88% |
All view groups | 147 | 0.95 (0.91, 0.98) | 0.92 (0.88, 0.96) | 0.87 (0.81, 0.92) | 76% | 112 | 0.85 (0.77, 0.93) | 0.91 (0.85, 0.97) | 0.93 (0.88, 0.98) | 90% |
FibroScan comparison study1,2 | ||||||||||
All view groups | 147 | 0.953 (0.92, 0.98) | 0.953 (0.92, 0.98) | 0.923 (0.88, 0.97) | 77% | 80 | 0.93 (0.87, 0.98) | 0.97 (0.93, 1.00) | 0.923 (0.86, 0.98) | 91% |
FibroScan | 147 | 0.88 (0.81, 0.95) | 0.88 (0.81, 0.95) | 0.80 (0.73, 0.87) | 62% | 80 | 0.89 (0.82, 0.96) | 0.92 (0.86, 0.98) | 0.82 (0.73, 0.92) | 68% |
- Citation: Li B, Tai DI, Yan K, Chen YC, Chen CJ, Huang SF, Hsu TH, Yu WT, Xiao J, Le L, Harrison AP. Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning. World J Gastroenterol 2022; 28(22): 2494-2508
- URL: https://www.wjgnet.com/1007-9327/full/v28/i22/2494.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i22.2494