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©The Author(s) 2024.
World J Gastrointest Oncol. Oct 15, 2024; 16(10): 4146-4156
Published online Oct 15, 2024. doi: 10.4251/wjgo.v16.i10.4146
Published online Oct 15, 2024. doi: 10.4251/wjgo.v16.i10.4146
Table 1 Correlation coefficients between Dn0-Dn100 and Dnmean of the uninvolved liver and the Vnsub-organ
Dose | Vnsub-organ1 | Vnsub-organ2 | Vnsub-organ3 | Vnsub-organ4 | Vnsub-organ5 | P value |
Dn0 | 0.529b | 0.414b | 0.332b | 0.276b | 0.238a | P < 0.01 |
Dn10 | 0.689b | 0.694b | 0.674b | 0.662b | 0.654b | P < 0.01 |
Dn20 | 0.653b | 0.704b | 0.702b | 0.706b | 0.710b | P < 0.01 |
Dn30 | 0.587b | 0.667b | 0.686b | 0.706b | 0.721b | P < 0.01 |
Dn40 | 0.542b | 0.630b | 0.664b | 0.693b | 0.718b | P < 0.01 |
Dn50 | 0.533b | 0.608b | 0.641b | 0.670b | 0.695b | P < 0.01 |
Dn60 | 0.563b | 0.628b | 0.654b | 0.676b | 0.697b | P < 0.01 |
Dn70 | 0.605b | 0.642b | 0.653b | 0.664b | 0.676b | P < 0.01 |
Dn80 | 0.653b | 0.670b | 0.669b | 0.668b | 0.672b | P < 0.01 |
Dn90 | 0.664b | 0.669b | 0.663b | 0.652b | 0.649b | P < 0.01 |
Dn100 | 0.539b | 0.466b | 0.417b | 0.378b | 0.354b | P < 0.01 |
Dnmean | 0.675b | 0.725b | 0.732b | 0.742b | 0.752b | P < 0.01 |
Table 2 R-value of the neural network prediction model
Dose | Training | Verification | Test | All |
Dn0 | 0.8792 | 0.6458 | 0.6207 | 0.7513 |
Dn10 | 0.9209 | 0.8115 | 0.8126 | 0.8813 |
Dn20 | 0.9101 | 0.8509 | 0.8720 | 0.8918 |
Dn30 | 0.9261 | 0.8510 | 0.9561 | 0.9139 |
Dn40 | 0.9674 | 0.8915 | 0.8697 | 0.9274 |
Dn50 | 0.8319 | 0.8146 | 0.8629 | 0.8263 |
Dn60 | 0.9252 | 0.8278 | 0.8537 | 0.8858 |
Dn70 | 0.9162 | 0.8332 | 0.8924 | 0.9010 |
Dn80 | 0.8397 | 0.7873 | 0.7825 | 0.8199 |
Dn90 | 0.8599 | 0.8138 | 0.8079 | 0.8391 |
Dn100 | 0.9715 | 0.7300 | 0.8336 | 0.8606 |
Dnmean | 0.9088 | 0.9498 | 0.7943 | 0.9006 |
Table 3 Mean square error of the neural network prediction model
Dose | MSE |
Dn0 | 0.0071 |
Dn10 | 0.0066 |
Dn20 | 0.0080 |
Dn30 | 0.0075 |
Dn40 | 0.0035 |
Dn50 | 0.0046 |
Dn60 | 0.0022 |
Dn70 | 0.0012 |
Dn80 | 0.0006 |
Dn90 | 0.0004 |
Dn100 | 0.0006 |
Dnmean | 0.0019 |
- Citation: Zhang HW, Wang YH, Hu B, Pang HW. Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method. World J Gastrointest Oncol 2024; 16(10): 4146-4156
- URL: https://www.wjgnet.com/1948-5204/full/v16/i10/4146.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i10.4146