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Evaluation of the capability and reproducibility of RECIST 1.1. measurements by technologists in breast cancer follow-up: a pilot study
The evaluation of tumor follow-up according to RECIST 1.1 has become essential in clinical practice given its role in therapeutic decision making. At the same time, radiologists are facing an increase in activity while facing a shortage. Radiographic technologists could contribute to the follow-up o...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241950/ https://www.ncbi.nlm.nih.gov/pubmed/37277412 http://dx.doi.org/10.1038/s41598-023-36315-w |
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author | Gouel, Pierrick Callonnec, Françoise Levêque, Émilie Valet, Céline Blôt, Axelle Cuvelier, Clémence Saï, Sonia Saunier, Lucie Pepin, Louis-Ferdinand Hapdey, Sébastien Libraire, Julie Vera, Pierre Viard, Benjamin |
author_facet | Gouel, Pierrick Callonnec, Françoise Levêque, Émilie Valet, Céline Blôt, Axelle Cuvelier, Clémence Saï, Sonia Saunier, Lucie Pepin, Louis-Ferdinand Hapdey, Sébastien Libraire, Julie Vera, Pierre Viard, Benjamin |
author_sort | Gouel, Pierrick |
collection | PubMed |
description | The evaluation of tumor follow-up according to RECIST 1.1 has become essential in clinical practice given its role in therapeutic decision making. At the same time, radiologists are facing an increase in activity while facing a shortage. Radiographic technologists could contribute to the follow-up of these measures, but no studies have evaluated their ability to perform them. Ninety breast cancer patients were performed three CT follow-ups between September 2017 and August 2021. 270 follow-up treatment CT scans were analyzed including 445 target lesions. The rate of agreement of classifications RECIST 1.1 between five technologists and radiologists yielded moderate (k value between 0.47 and 0.52) and substantial (k value = 0.62 and k = 0.67) agreement values. 112 CT were classified as progressive disease (PD) by the radiologists, and 414 new lesions were identified. The analysis showed a percentage of strict agreement of progressive disease classification between reader-technologists and radiologists ranging from substantial to almost perfect agreement (range 73–97%). Analysis of intra-observer agreement was strong at almost perfect (k > 0.78) for 3 technologists. These results are encouraging regarding the ability of selected technologists to perform measurements according to RECIST 1.1 criteria by CT scan with good identification of disease progression. |
format | Online Article Text |
id | pubmed-10241950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102419502023-06-07 Evaluation of the capability and reproducibility of RECIST 1.1. measurements by technologists in breast cancer follow-up: a pilot study Gouel, Pierrick Callonnec, Françoise Levêque, Émilie Valet, Céline Blôt, Axelle Cuvelier, Clémence Saï, Sonia Saunier, Lucie Pepin, Louis-Ferdinand Hapdey, Sébastien Libraire, Julie Vera, Pierre Viard, Benjamin Sci Rep Article The evaluation of tumor follow-up according to RECIST 1.1 has become essential in clinical practice given its role in therapeutic decision making. At the same time, radiologists are facing an increase in activity while facing a shortage. Radiographic technologists could contribute to the follow-up of these measures, but no studies have evaluated their ability to perform them. Ninety breast cancer patients were performed three CT follow-ups between September 2017 and August 2021. 270 follow-up treatment CT scans were analyzed including 445 target lesions. The rate of agreement of classifications RECIST 1.1 between five technologists and radiologists yielded moderate (k value between 0.47 and 0.52) and substantial (k value = 0.62 and k = 0.67) agreement values. 112 CT were classified as progressive disease (PD) by the radiologists, and 414 new lesions were identified. The analysis showed a percentage of strict agreement of progressive disease classification between reader-technologists and radiologists ranging from substantial to almost perfect agreement (range 73–97%). Analysis of intra-observer agreement was strong at almost perfect (k > 0.78) for 3 technologists. These results are encouraging regarding the ability of selected technologists to perform measurements according to RECIST 1.1 criteria by CT scan with good identification of disease progression. Nature Publishing Group UK 2023-06-05 /pmc/articles/PMC10241950/ /pubmed/37277412 http://dx.doi.org/10.1038/s41598-023-36315-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gouel, Pierrick Callonnec, Françoise Levêque, Émilie Valet, Céline Blôt, Axelle Cuvelier, Clémence Saï, Sonia Saunier, Lucie Pepin, Louis-Ferdinand Hapdey, Sébastien Libraire, Julie Vera, Pierre Viard, Benjamin Evaluation of the capability and reproducibility of RECIST 1.1. measurements by technologists in breast cancer follow-up: a pilot study |
title | Evaluation of the capability and reproducibility of RECIST 1.1. measurements by technologists in breast cancer follow-up: a pilot study |
title_full | Evaluation of the capability and reproducibility of RECIST 1.1. measurements by technologists in breast cancer follow-up: a pilot study |
title_fullStr | Evaluation of the capability and reproducibility of RECIST 1.1. measurements by technologists in breast cancer follow-up: a pilot study |
title_full_unstemmed | Evaluation of the capability and reproducibility of RECIST 1.1. measurements by technologists in breast cancer follow-up: a pilot study |
title_short | Evaluation of the capability and reproducibility of RECIST 1.1. measurements by technologists in breast cancer follow-up: a pilot study |
title_sort | evaluation of the capability and reproducibility of recist 1.1. measurements by technologists in breast cancer follow-up: a pilot study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241950/ https://www.ncbi.nlm.nih.gov/pubmed/37277412 http://dx.doi.org/10.1038/s41598-023-36315-w |
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