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Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial
Shared decision‐making is imperative for patient‐and family‐centered care. However, gathering individuals in a single place was challenged by modern life and pandemic restrictions. This study conducted a 1:1 randomized trial to examine the feasibility of a CT‐derived 3D virtual explanation module fo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527161/ https://www.ncbi.nlm.nih.gov/pubmed/36052975 http://dx.doi.org/10.1111/1759-7714.14637 |
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author | Yoon, Soon Ho Na, Kwon Joong Kang, Chang Hyun Park, In Kyu Park, Samina Goo, Jin Mo Kim, Young Tae |
author_facet | Yoon, Soon Ho Na, Kwon Joong Kang, Chang Hyun Park, In Kyu Park, Samina Goo, Jin Mo Kim, Young Tae |
author_sort | Yoon, Soon Ho |
collection | PubMed |
description | Shared decision‐making is imperative for patient‐and family‐centered care. However, gathering individuals in a single place was challenged by modern life and pandemic restrictions. This study conducted a 1:1 randomized trial to examine the feasibility of a CT‐derived 3D virtual explanation module for lung cancer to improve the understanding of patients and third parties in physically separate locations. We prospectively enrolled adults in whom elective surgical resection for lung cancer was planned at a single tertiary hospital in 2020. From presurgical CT scans, deep neural networks automatically segmented lung cancer, airway, pulmonary lobes, skin, and bony thorax. The segmented structures were subsequently transformed into an anonymized interactive 3D module which comprised a standardized scenario with explanatory texts. The intervention group received a link to the module on their smartphone before admission and could repeatedly access the link or transfer it to patients' third parties. A total of 33 and 29 patients were enrolled in the intervention and control arms. The understanding score did not statistically differ between the arms (mean difference, 0.7 [95% CI: −0.2, 1.5]; p = 0.13). However, 76% of patients in the intervention arm accessed the link, and patient median access count was 14. The link recipients of third parties had comparable understanding scores to the patients (mean difference, −0.2 [95% CI: −1.9, 1.5]; p = 1.00), indicating that the understanding could be shared remotely with patients and patients’ third parties. In conclusion, it was feasible that people physically separated from patients obtained a comparable understanding of lung cancer surgery using the patient's CT‐derived 3D virtual explanation module. |
format | Online Article Text |
id | pubmed-9527161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-95271612022-10-06 Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial Yoon, Soon Ho Na, Kwon Joong Kang, Chang Hyun Park, In Kyu Park, Samina Goo, Jin Mo Kim, Young Tae Thorac Cancer Technical Note Shared decision‐making is imperative for patient‐and family‐centered care. However, gathering individuals in a single place was challenged by modern life and pandemic restrictions. This study conducted a 1:1 randomized trial to examine the feasibility of a CT‐derived 3D virtual explanation module for lung cancer to improve the understanding of patients and third parties in physically separate locations. We prospectively enrolled adults in whom elective surgical resection for lung cancer was planned at a single tertiary hospital in 2020. From presurgical CT scans, deep neural networks automatically segmented lung cancer, airway, pulmonary lobes, skin, and bony thorax. The segmented structures were subsequently transformed into an anonymized interactive 3D module which comprised a standardized scenario with explanatory texts. The intervention group received a link to the module on their smartphone before admission and could repeatedly access the link or transfer it to patients' third parties. A total of 33 and 29 patients were enrolled in the intervention and control arms. The understanding score did not statistically differ between the arms (mean difference, 0.7 [95% CI: −0.2, 1.5]; p = 0.13). However, 76% of patients in the intervention arm accessed the link, and patient median access count was 14. The link recipients of third parties had comparable understanding scores to the patients (mean difference, −0.2 [95% CI: −1.9, 1.5]; p = 1.00), indicating that the understanding could be shared remotely with patients and patients’ third parties. In conclusion, it was feasible that people physically separated from patients obtained a comparable understanding of lung cancer surgery using the patient's CT‐derived 3D virtual explanation module. John Wiley & Sons Australia, Ltd 2022-09-02 2022-10 /pmc/articles/PMC9527161/ /pubmed/36052975 http://dx.doi.org/10.1111/1759-7714.14637 Text en © 2022 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Technical Note Yoon, Soon Ho Na, Kwon Joong Kang, Chang Hyun Park, In Kyu Park, Samina Goo, Jin Mo Kim, Young Tae Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial |
title | Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial |
title_full | Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial |
title_fullStr | Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial |
title_full_unstemmed | Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial |
title_short | Remotely shared CT‐derived presurgical understanding of lung cancer: A randomized trial |
title_sort | remotely shared ct‐derived presurgical understanding of lung cancer: a randomized trial |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527161/ https://www.ncbi.nlm.nih.gov/pubmed/36052975 http://dx.doi.org/10.1111/1759-7714.14637 |
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