个人中心| | 帮助
高级检索
当前位置： 首页 > 详情页

Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study.

| 认领 | 导出 | |

文献详情

资源类型：
WOS体系：
Pubmed体系：

收录情况： ◇ SCIE

作者：
Chang-Juan Tao [a] ; Jun-Lin Yi [b] ; Nian-Yong Chen [c] ; Wei Ren [d] ; Jason Cheng [e] ; Stewart Tung [f] ; Lin Kong [g] ; Shao-Jun Lin [h] ; Jian-Ji Pan [h] ; Guang-Shun Zhang[a] ; Jiang Hu[a] ; Zhen-Yu Qi[a] ; Jun Ma [a] ; Jia-De Lu [d] ; Di Yan [i] ; Ying Sun [a,*1] ;
机构： [a]Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for CancerMedicine, Guangzhou [b]Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing [c]Department ofRadiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China [d]Department of Radiation Oncology, National University Cancer Institute,National University Health System, National University of Singapore, Republic of Singapore [e]Department of Radiation Oncology, National Taiwan University Hospital, Taipei, Taiwan [f]Department of Clinical Oncology, Tuen Mun Hospital, Hong Kong, China [g]Department of Radiation Oncology, Fudan University, Shanghai Cancer Center [h]Department of RadiationOncology, Cancer Hospital of Fujian Medical University, Fuzhou, China [i]Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, United States
出处：
DOI： 10.1016/j.radonc.2015.05.012
ISSN：

关键词： Nasopharyngeal carcinoma Organs at risk Atlas-based auto segmentation (ABAS) Contour variation Dosimetric parameter

摘要：
To assess whether consensus guideline-based atlas-based auto-segmentation (ABAS) reduces interobserver variation and improves dosimetric parameter consistency for organs at risk (OARs) in nasopharyngeal carcinoma (NPC). Eight radiation oncologists from 8 institutes contoured 20 OARs on planning CT images of 16 patients via manual contouring and manually-edited ABAS contouring. Interobserver variation [volume coefficient of variation (CV), Dice similarity coefficient (DSC), three-dimensional isocenter difference (3D-ICD)] and dosimetric parameters were compared between the two methods of contouring for each OAR. Interobserver variation was significant for all OARs in manual contouring, resulting in significant dosimetric parameter variation (P<0.05). Edited ABAS significantly improved multiple metrics and reduced dosimetric parameter variation for most OARs; brainstem, spinal cord, cochleae, temporomandibular joint (TMJ), larynx and pharyngeal constrictor muscle (PCM) obtained most benefit (range of mean DSC, volume CV and main ICD values was 0.36-0.83, 12.1-84.3%, 2.2-5.0mm for manual contouring and 0.42-0.86, 7.2-70.6%, 1.2-3.5mm for edited ABAS contouring, respectively; range of dose CV reduction: 1.0-3.0%). Substantial objective interobserver differences occur during manual contouring, resulting in significant dosimetric parameter variation. Edited ABAS reduced interobserver variation and improved dosimetric parameter consistency, particularly for brainstem, spinal cord, cochleae, TMJ, larynx and PCM. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

基金：
This work was supported by Grants from the Natural Science Foundation of China (No. 8172409), the Sun Yat-sen University Clinical Research 5010 Program (No. 2012011), the Natural Science Foundation of Guangdong Province, China (No. S2013010012220), the Science and Technology Project of Guangzhou City, China (No. 132000507), the Health & Medical Collaborative Innovation Project of Guangzhou City, China (No. 201400000001) and the Fund of Elekta AB, Stockholm, Sweden.
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2015]版：
大类 | 2 区 医学
小类 | 2 区 肿瘤学 2 区 核医学
最新[2023]版：
大类 | 1 区 医学
小类 | 2 区 肿瘤学 2 区 核医学
JCR分区：
出版当年[2015]版：
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q1 ONCOLOGY
最新[2023]版：
Q1 ONCOLOGY Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子： 最新[2023版] 最新五年平均 出版当年[2015版] 出版当年五年平均 出版前一年[2014版] 出版后一年[2016版]

第一作者：
第一作者机构： [a]Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for CancerMedicine, Guangzhou
通讯作者：
通讯机构： [a]Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for CancerMedicine, Guangzhou [*1]Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong 510060,China.
推荐引用方式(GB/T 7714)：
Chang-Juan Tao,Jun-Lin Yi,Nian-Yong Chen,et al.Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study.[J].RADIOTHERAPY AND ONCOLOGY.2015,115(3):407-411.doi:10.1016/j.radonc.2015.05.012.
APA：
Chang-Juan Tao,Jun-Lin Yi,Nian-Yong Chen,Wei Ren,Jason Cheng...&Ying Sun.(2015).Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study..RADIOTHERAPY AND ONCOLOGY,115,(3)
MLA：
Chang-Juan Tao,et al."Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study.".RADIOTHERAPY AND ONCOLOGY 115..3(2015):407-411

相关文献

[1]Segmentation of multiple Organs-at-Risk associated with brain tumors based on coarse-to-fine stratified networks [2]Delineation of clinical target volume and organs at risk in cervical cancer radiotherapy by deep learning networks [3]Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss [4]Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy [5]GZP型60Co近距离治疗源基于金属施源器剂量参数的蒙特卡罗研究 [6]Investigational drugs for nasopharyngeal carcinoma [7]Nasopharyngeal carcinoma: A review of current updates [8]A New Classification for Nasopharyngeal Carcinoma [9]Proposal for a new risk classification system for nasopharyngeal carcinoma patients with post-radiation nasopharyngeal necrosis [10]Study of Cetuximab in Nasopharyngeal Carcinoma (NPC) With Chemoradiotherapy

资源点击量：43389 今日访问量：0 总访问量：3120 更新日期：2024-09-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 四川省肿瘤医院 技术支持：重庆聚合科技有限公司 地址：成都市人民南路四段55号