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

被引:45
|
作者
Baroudi, Hana [1 ,2 ]
Brock, Kristy K. [1 ,3 ]
Cao, Wenhua [1 ]
Chen, Xinru [1 ,2 ]
Chung, Caroline [4 ]
Court, Laurence E. [1 ]
El Basha, Mohammad D. [1 ,2 ]
Farhat, Maguy [4 ]
Gay, Skylar [1 ,2 ]
Gronberg, Mary P. [1 ,2 ]
Gupta, Aashish Chandra [1 ,2 ,3 ]
Hernandez, Soleil [1 ,2 ]
Huang, Kai [1 ,2 ]
Jaffray, David A. [1 ,3 ]
Lim, Rebecca [1 ,2 ]
Marquez, Barbara [1 ,2 ]
Nealon, Kelly [1 ,2 ]
Netherton, Tucker J. [1 ]
Nguyen, Callistus M. [3 ]
Reber, Brandon [2 ,3 ]
Rhee, Dong Joo [1 ]
Salazar, Ramon M. [1 ]
Shanker, Mihir D. [5 ,6 ]
Sjogreen, Carlos [7 ]
Woodland, McKell [3 ,8 ]
Yang, Jinzhong [1 ]
Yu, Cenji [1 ,2 ]
Zhao, Yao [1 ,2 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Radiat Phys, Houston, TX 77030 USA
[2] Univ Texas MD Anderson Canc Ctr, UTHealth Houston Grad Sch Biomed Sci, Houston, TX 77030 USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, Dept Radiat Phys, Houston, TX 77030 USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Houston, TX 77030 USA
[5] Univ Queensland, St Lucia 4072, Australia
[6] Univ Texas MD Anderson Canc Ctr, Houston, TX 77030 USA
[7] Univ Houston, Dept Phys, Houston, TX 77004 USA
[8] Rice Univ, Dept Comp Sci, Houston, TX 77005 USA
关键词
radiotherapy treatment planning; artificial intelligence; quality assurance; CELL LUNG-CANCER; DOSE-VOLUME HISTOGRAMS; AUTO-SEGMENTATION; AT-RISK; PROSTATE-CANCER; TREATMENT PLANS; RADIOTHERAPY; HEAD; ATLAS; DELINEATION;
D O I
10.3390/diagnostics13040667
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页数:21
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