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Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?
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 i...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955359/ https://www.ncbi.nlm.nih.gov/pubmed/36832155 http://dx.doi.org/10.3390/diagnostics13040667 |
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| author | Baroudi, Hana Brock, Kristy K. Cao, Wenhua Chen, Xinru Chung, Caroline Court, Laurence E. El Basha, Mohammad D. Farhat, Maguy Gay, Skylar Gronberg, Mary P. Gupta, Aashish Chandra Hernandez, Soleil Huang, Kai Jaffray, David A. Lim, Rebecca Marquez, Barbara Nealon, Kelly Netherton, Tucker J. Nguyen, Callistus M. Reber, Brandon Rhee, Dong Joo Salazar, Ramon M. Shanker, Mihir D. Sjogreen, Carlos Woodland, McKell Yang, Jinzhong Yu, Cenji Zhao, Yao |
| author_facet | Baroudi, Hana Brock, Kristy K. Cao, Wenhua Chen, Xinru Chung, Caroline Court, Laurence E. El Basha, Mohammad D. Farhat, Maguy Gay, Skylar Gronberg, Mary P. Gupta, Aashish Chandra Hernandez, Soleil Huang, Kai Jaffray, David A. Lim, Rebecca Marquez, Barbara Nealon, Kelly Netherton, Tucker J. Nguyen, Callistus M. Reber, Brandon Rhee, Dong Joo Salazar, Ramon M. Shanker, Mihir D. Sjogreen, Carlos Woodland, McKell Yang, Jinzhong Yu, Cenji Zhao, Yao |
| author_sort | Baroudi, Hana |
| collection | PubMed |
| description | 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. |
| format | Online Article Text |
| id | pubmed-9955359 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | MDPI |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-99553592023-02-25 Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’? Baroudi, Hana Brock, Kristy K. Cao, Wenhua Chen, Xinru Chung, Caroline Court, Laurence E. El Basha, Mohammad D. Farhat, Maguy Gay, Skylar Gronberg, Mary P. Gupta, Aashish Chandra Hernandez, Soleil Huang, Kai Jaffray, David A. Lim, Rebecca Marquez, Barbara Nealon, Kelly Netherton, Tucker J. Nguyen, Callistus M. Reber, Brandon Rhee, Dong Joo Salazar, Ramon M. Shanker, Mihir D. Sjogreen, Carlos Woodland, McKell Yang, Jinzhong Yu, Cenji Zhao, Yao Diagnostics (Basel) Review 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. MDPI 2023-02-10 /pmc/articles/PMC9955359/ /pubmed/36832155 http://dx.doi.org/10.3390/diagnostics13040667 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| spellingShingle | Review Baroudi, Hana Brock, Kristy K. Cao, Wenhua Chen, Xinru Chung, Caroline Court, Laurence E. El Basha, Mohammad D. Farhat, Maguy Gay, Skylar Gronberg, Mary P. Gupta, Aashish Chandra Hernandez, Soleil Huang, Kai Jaffray, David A. Lim, Rebecca Marquez, Barbara Nealon, Kelly Netherton, Tucker J. Nguyen, Callistus M. Reber, Brandon Rhee, Dong Joo Salazar, Ramon M. Shanker, Mihir D. Sjogreen, Carlos Woodland, McKell Yang, Jinzhong Yu, Cenji Zhao, Yao Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’? |
| title | Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’? |
| title_full | Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’? |
| title_fullStr | Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’? |
| title_full_unstemmed | Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’? |
| title_short | Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’? |
| title_sort | automated contouring and planning in radiation therapy: what is ‘clinically acceptable’? |
| topic | Review |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955359/ https://www.ncbi.nlm.nih.gov/pubmed/36832155 http://dx.doi.org/10.3390/diagnostics13040667 |
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