Interactive Contouring Atlas for Radiation Oncology
放射肿瘤学交互式轮廓图谱
基本信息
- 批准号:9182722
- 负责人:
- 金额:$ 10万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-07-01 至 2018-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
PROJECT SUMMARY/ABSTRACT
Radiation therapy plays an important role in the management of many cancers. The delivery of safe and
effective radiation requires multiple components, though the identification of the radiation target (tumor), and
areas to avoid (normal tissues) represents a critical step in this process. Accuracy with target delineation –
commonly referred to as contouring – requires sound understanding of anatomy, radiology, and most
importantly the individual patient. Research clearly shows that poor contouring leads to increased toxicity, and
decreased survival, which emphasizes the consequence of contouring quality.
This proposed project aims to create a user-friendly web-based imaging resource for contouring in radiation
oncology. Our proposed tool will entail a searchable library of individual patient cases, each of which will
include 3D imaging and contours defining tumor and normal tissues. Additionally, we will create focused
content for each individual case describing the rationale behind contour delineation. We will pilot, widely
deploy, and evaluate the efficacy of this contouring tool among the greater radiation oncology community.
This project will develop an educational resource with the overall goal of improving the quality of contouring in
radiation oncology, which ultimately stands to improve quality and safety of radiation therapy.
项目概要/摘要
放射治疗在许多癌症的治疗中发挥着重要作用。安全和交付
有效的辐射需要多种成分,但要识别辐射目标(肿瘤),并且
要避开的区域(正常组织)是此过程中的关键步骤。目标描绘的准确性 –
通常称为轮廓绘制——需要对解剖学、放射学和大多数知识有充分的了解
重要的是患者个体。研究清楚地表明,轮廓不佳会导致毒性增加,并且
生存率下降,这强调了轮廓质量的后果。
该拟议项目旨在创建一个用户友好的基于网络的成像资源,用于辐射轮廓
肿瘤学。我们提出的工具将需要一个可搜索的个体患者病例库,每个病例都将
包括 3D 成像和定义肿瘤和正常组织的轮廓。此外,我们将创建重点
每个案例的内容描述了轮廓描绘背后的基本原理。我们将广泛试点
在更大的放射肿瘤学界部署并评估该轮廓工具的功效。
该项目将开发教育资源,总体目标是提高轮廓绘制质量
放射肿瘤学,最终旨在提高放射治疗的质量和安全性。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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James D Murphy其他文献
Large-scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites: Interobserver expert/non-expert and multi-observer composite tumor and normal tissue delineation annotation from a prospective educational challenge
跨各种癌症解剖部位的大规模众包放射治疗分割:来自前瞻性教育挑战的观察者间专家/非专家和多观察者复合肿瘤和正常组织描绘注释
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
K. Wahid;Diana Lin;Onur Sahin;M. Cislo;Benjamin E. Nelms;R. He;M. Naser;Simon Duke;M. Sherer;J. Christodouleas;A. Mohamed;James D Murphy;C. Fuller;Erin F. Gillespie - 通讯作者:
Erin F. Gillespie
Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation
放射肿瘤学家人口统计因素与细分相似性基准之间的关联:使用贝叶斯估计从众包挑战中获得的见解
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:4.2
- 作者:
K. Wahid;Onur Sahin;Suprateek Kundu;Diana Lin;Anthony Alanis;Salik Tehami;Serageldin Kamel;Simon Duke;M. Sherer;Mathis Rasmussen;S. Korreman;David Fuentes;M. Cislo;Benjamin E. Nelms;J. Christodouleas;James D Murphy;A. S. Mohamed;R. He;M. Naser;Erin F. Gillespie;C. Fuller - 通讯作者:
C. Fuller
James D Murphy的其他文献
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{{ truncateString('James D Murphy', 18)}}的其他基金
Quantification and Characterization of Opioid Prescription, Overdose, and Fatalities in People with Cancer: A Massive Nationwide, Multi-Cohort Study
癌症患者阿片类药物处方、用药过量和死亡的量化和表征:一项大规模的全国性多队列研究
- 批准号:
10195671 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Quantification and Characterization of Opioid Prescription, Overdose, and Fatalities in People with Cancer: A Massive Nationwide, Multi-Cohort Study
癌症患者阿片类药物处方、用药过量和死亡的量化和表征:一项大规模的全国性多队列研究
- 批准号:
10372162 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Distributed knowledge-based platform for radiotherapy plan quality control
分布式放疗计划质量控制知识平台
- 批准号:
10369642 - 财政年份:2018
- 资助金额:
$ 10万 - 项目类别:
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