|Table of Contents|

Dose prediction-guided quantitative assessment of the quality radiotherapy plan for nasopharyngeal cancer(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2022年第9期
Page:
1076-1082
Research Field:
医学放射物理
Publishing date:

Info

Title:
Dose prediction-guided quantitative assessment of the quality radiotherapy plan for nasopharyngeal cancer
Author(s):
CHEN Yanyu1 BAI Penggang2 CHEN Rongqin2 QIU Xiaoping1 CHEN Jihong2 DAI Yitao2 QUAN Kerun1 ZHOU Yimin1
1. School of Nuclear Science and Technology, University of South China, Hengyang 421001, China 2. Department of Radiation Oncology, Fujian Cancer Hospital, Fuzhou 350014, China
Keywords:
Keywords: nasopharyngeal carcinoma dose prediction artificial neural network plan quality metrics
PACS:
R739.6;R811.1
DOI:
DOI:10.3969/j.issn.1005-202X.2022.09.004
Abstract:
Abstract: Objective To carry out the dose prediction for nasopharyngeal carcinoma radiotherapy using artificial neural network model, and to establish plan quality metrics (PQM) based on dose prediction for achieving personalized quantitative assessment of radiotherapy plan quality. Methods A total of 114 cases of nasopharyngeal carcinoma treated with radiotherapy in Fujian Cancer Hospital were analyzed retrospectively. After extracting 25 geometric spatial relationship features between organs-at-risk and target area, 81 cases were used for training and obtaining an artificial neural network-based dose prediction model, and the other 23 cases were used for validating the accuracy of the prediction model. PQM were developed based on dose limits and dose prediction, separately, for the quantitative assessment of 10 clinical cases, and finally, the rationalities of the two methods were discussed. Results For the 11 main OAR dosimetric indicators of nasopharyngeal carcinoma, the overall mean difference between predictive and actual values was (-0.07±4.55) Gy for dose-related indicators and (-1.06±3.80)% for volume-related indicators and the prediction accuracy reached 90%. For the 10 clinically approved nasopharyngeal carcinoma plans, the method of establishing PQM based on dose limits was assessed as failing for case 4 and passing for the remaining cases, while the method of establishing PQM based on dose prediction was assessed as failing for case 9 and passing for the remaining cases. Conclusion The dose prediction-guided quantitative assessment of the quality radiotherapy plan for nasopharyngeal cancer can reflect whether the plan can be further optimized. Moreover, the dose prediction-guided method overcomes the shortcomings of the dose limits-based assessment which do not take case specificity into account, and can evaluate the radiotherapy plan more scientifically and reasonably.

References:

Memo

Memo:
-
Last Update: 2022-09-27