Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method

doi:10.4251/wjgo.v16.i10.4146

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Oct 15, 2024 (publication date) through Sep 26, 2024

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Oncol. Oct 15, 2024; 16(10): 4146-4156
Published online Oct 15, 2024. doi: 10.4251/wjgo.v16.i10.4146

Table 1 Correlation coefficients between D_n0-D_n100 and D_nmean of the uninvolved liver and the V_nsub-organ

Dose	V_nsub-organ1	V_nsub-organ2	V_nsub-organ3	V_nsub-organ4	V_nsub-organ5	P value
D_n0	0.529^b	0.414^b	0.332^b	0.276^b	0.238^a	P < 0.01
D_n10	0.689^b	0.694^b	0.674^b	0.662^b	0.654^b	P < 0.01
D_n20	0.653^b	0.704^b	0.702^b	0.706^b	0.710^b	P < 0.01
D_n30	0.587^b	0.667^b	0.686^b	0.706^b	0.721^b	P < 0.01
D_n40	0.542^b	0.630^b	0.664^b	0.693^b	0.718^b	P < 0.01
D_n50	0.533^b	0.608^b	0.641^b	0.670^b	0.695^b	P < 0.01
D_n60	0.563^b	0.628^b	0.654^b	0.676^b	0.697^b	P < 0.01
D_n70	0.605^b	0.642^b	0.653^b	0.664^b	0.676^b	P < 0.01
D_n80	0.653^b	0.670^b	0.669^b	0.668^b	0.672^b	P < 0.01
D_n90	0.664^b	0.669^b	0.663^b	0.652^b	0.649^b	P < 0.01
D_n100	0.539^b	0.466^b	0.417^b	0.378^b	0.354^b	P < 0.01
D_nmean	0.675^b	0.725^b	0.732^b	0.742^b	0.752^b	P < 0.01

^aP < 0.05. This suggests that the observed correlation is statistically significant at the 5% level, meaning there is less than a 5% chance of observing such results if the null hypothesis were true.

^bP < 0.01, indicating a higher level of statistical significance. This implies that the observed correlation is statistically significant at the 1% level, with less than a 1% chance of occurring under the null hypothesis.

Pearson’s correlation test was used to analyze the correlation. The P value provides a quantitative measure of the statistical significance of the observed results.

Table 2 R-value of the neural network prediction model

Dose	Training	Verification	Test	All
D_n0	0.8792	0.6458	0.6207	0.7513
D_n10	0.9209	0.8115	0.8126	0.8813
D_n20	0.9101	0.8509	0.8720	0.8918
D_n30	0.9261	0.8510	0.9561	0.9139
D_n40	0.9674	0.8915	0.8697	0.9274
D_n50	0.8319	0.8146	0.8629	0.8263
D_n60	0.9252	0.8278	0.8537	0.8858
D_n70	0.9162	0.8332	0.8924	0.9010
D_n80	0.8397	0.7873	0.7825	0.8199
D_n90	0.8599	0.8138	0.8079	0.8391
D_n100	0.9715	0.7300	0.8336	0.8606
D_nmean	0.9088	0.9498	0.7943	0.9006

Table 3 Mean square error of the neural network prediction model

Dose	MSE
D_n0	0.0071
D_n10	0.0066
D_n20	0.0080
D_n30	0.0075
D_n40	0.0035
D_n50	0.0046
D_n60	0.0022
D_n70	0.0012
D_n80	0.0006
D_n90	0.0004
D_n100	0.0006
D_nmean	0.0019

MSE: Mean square error.

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