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©The Author(s) 2020.
World J Gastroenterol. Nov 28, 2020; 26(44): 6945-6962
Published online Nov 28, 2020. doi: 10.3748/wjg.v26.i44.6945
Published online Nov 28, 2020. doi: 10.3748/wjg.v26.i44.6945
Table 2 Comparison of anastomotic complication risk assessment between artificial intelligence analysis of various indocyanine green curve patterns and quantitative parameter of indocyanine green curve
Risk label of AI | ICG curve pattern index | Ratio of predictive complication risk by each quantitative parameter of ICG curve | Ratio of anastomotic complications (1400/10000, %) | ||
T1/2max (%) | TR (%) | RS (%) | |||
Safe | 1 | 0.00 | 0.00 | 0.00 | 0/316 (0) |
Safe | 2 | 0.00 | 10.18 | 0.00 | 10/384 (3) |
Safe | 3 | 0.02 | 1.90 | 0.02 | 10/424 (2) |
Safe | 4 | 0.00 | 0.01 | 0.00 | 0/203 (0) |
Safe | 5 | 0.00 | 1.94 | 0.02 | 2/218 (1) |
Safe | 6 | 0.00 | 0.01 | 0.00 | 1/348 (0) |
Safe | 7 | 0.00 | 14.11 | 0.05 | 10/445 (2) |
Safe | 8 | 0.18 | 4.80 | 0.48 | 7/291 (2) |
Safe | 9 | 0.03 | 8.03 | 0.12 | 14/349 (4) |
Safe | 11 | 0.00 | 0.00 | 0.00 | 0/407 (0) |
Safe | 12 | 0.00 | 0.00 | 0.00 | 9/365 (2) |
Safe | 13 | 0.00 | 1.40 | 0.00 | 6/380 (2) |
Safe | 16 | 0.93 | 0.90 | 0.00 | 9/371 (2) |
Safe | 17 | 0.44 | 23.53 | 1.83 | 38/524 (7) |
Safe | 18 | 3.73 | 10.57 | 2.35 | 16/397 (4) |
Safe | 25 | 0.00 | 0.00 | 0.00 | 0/163 (0) |
Intermediate | 14 | 3.04 | 13.93 | 9.37 | 100/518 (19) |
Intermediate | 15 | 8.10 | 17.42 | 30.21 | 123/528 (23) |
Intermediate | 19 | 56.73 | 23.42 | 51.15 | 98/370 (26) |
Intermediate | 21 | 73.44 | 0.02 | 0.01 | 104/460 (23) |
Intermediate | 22 | 10.61 | 3.25 | 0.65 | 113/438 (26) |
Intermediate | 23 | 37.41 | 0.03 | 4.31 | 110/723 (15) |
Intermediate | 24 | 32.97 | 0.09 | 69.15 | 171/626 (27) |
Dangerous | 10 | 12.44 | 45.40 | 46.74 | 272/490 (56) |
Dangerous | 20 | 69.57 | 34.03 | 99.78 | 177/262 (68) |
- Citation: Park SH, Park HM, Baek KR, Ahn HM, Lee IY, Son GM. Artificial intelligence based real-time microcirculation analysis system for laparoscopic colorectal surgery. World J Gastroenterol 2020; 26(44): 6945-6962
- URL: https://www.wjgnet.com/1007-9327/full/v26/i44/6945.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i44.6945