Auto-segmentation of target areas and organs-at-risk for total marrow and lymphoid irradiation in children
10.3969/j.issn.1005-202X.2024.02.006
- VernacularTitle:儿童全骨髓全淋巴照射靶区和危及器官自动勾画
- Author:
Zhihua XIE
1
;
Na LU
;
Jinfeng LIU
;
Lixia HOU
;
Fuli ZHANG
Author Information
1. 解放军总医院第七医学中心放射治疗科,北京 100700;山东省肿瘤医院放射物理技术科,山东济南 250000
- Keywords:
children;
radiotherapy;
total marrow and lymphatic irradiation;
auto-segmentation
- From:
Chinese Journal of Medical Physics
2024;41(2):163-168
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the feasibility of AccuLearning system for the auto-segmentation of target areas and organs-at-risk(OAR)for total marrow and lymphoid irradiation(TMLI)in children.Methods Thirty pediatric patients who underwent TMLI since 2018 to 2022 were selected.The patients were immobilized in the supine position,and their CT images were acquired on the Philips Brilliance Big Bore CT scanner.After the target areas and OAR were manually delineated and modified,the CT images and manually delineated contours were imported into AccuLearning system for training,validation,and testing of the auto-segmentation model.The auto-segmentation results in 6 TMLI patients in the test set were evaluated in terms of Dice similarity coefficient(DSC),95%Hausdorff distance and average surface distance.Results On the test set with 6 cases,except for the lens that was difficult to be delineated automatically,the DSC values was above 0.70 for all other target areas and OAR,with only one patient having a DSC value of 0.59 for the stomach.The average DSC value for the stomach in all 6 patients was 0.76,and the average DSC values for the other organs were above 0.80.Conclusion The target areas and OAR automatically delineated with the model can meet the requirements of clinical planning after simple modifications.
