Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?

Author:

Baroudi Hana12,Brock Kristy K.13ORCID,Cao Wenhua1,Chen Xinru12ORCID,Chung Caroline4,Court Laurence E.1ORCID,El Basha Mohammad D.12,Farhat Maguy4,Gay Skylar12ORCID,Gronberg Mary P.12ORCID,Gupta Aashish Chandra123,Hernandez Soleil12ORCID,Huang Kai12ORCID,Jaffray David A.13ORCID,Lim Rebecca12,Marquez Barbara12,Nealon Kelly12,Netherton Tucker J.1,Nguyen Callistus M.3,Reber Brandon23,Rhee Dong Joo1,Salazar Ramon M.1,Shanker Mihir D.56,Sjogreen Carlos7,Woodland McKell38ORCID,Yang Jinzhong1,Yu Cenji12,Zhao Yao12ORCID

Affiliation:

1. Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

2. The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX 77030, USA

3. Department of Imaging Physics, Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

4. Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

5. The University of Queensland, Saint Lucia 4072, Australia

6. The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

7. Department of Physics, University of Houston, Houston, TX 77004, USA

8. Department of Computer Science, Rice University, Houston, TX 77005, USA

Abstract

Developers and users of artificial-intelligence-based tools for automatic contouring and treatment planning in radiotherapy are expected to assess clinical acceptability of these tools. However, what is ‘clinical acceptability’? Quantitative and qualitative approaches have been used to assess this ill-defined concept, all of which have advantages and disadvantages or limitations. The approach chosen may depend on the goal of the study as well as on available resources. In this paper, we discuss various aspects of ‘clinical acceptability’ and how they can move us toward a standard for defining clinical acceptability of new autocontouring and planning tools.

Publisher

MDPI AG

Subject

Clinical Biochemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3