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A model to predict the prognosis of diffuse large B-cell lymphoma based on ultrasound images
The purpose of this paper was to assess the value of ultrasonography in the prognosis of diffuse large b-cell lymphoma (DLBCL) by developing a new prognostic model. One hundred and eleven DLBCL patients with complete clinical information and ultrasound findings were enrolled in our study. Univariate...
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/PMC9971016/ https://www.ncbi.nlm.nih.gov/pubmed/36849532 http://dx.doi.org/10.1038/s41598-023-30533-y |
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author | Lu, Wenjuan Chen, Wenqin Zhou, Yasu Yuan, Ya Shu, Hua Deng, Hongyan Ye, Xinhua |
author_facet | Lu, Wenjuan Chen, Wenqin Zhou, Yasu Yuan, Ya Shu, Hua Deng, Hongyan Ye, Xinhua |
author_sort | Lu, Wenjuan |
collection | PubMed |
description | The purpose of this paper was to assess the value of ultrasonography in the prognosis of diffuse large b-cell lymphoma (DLBCL) by developing a new prognostic model. One hundred and eleven DLBCL patients with complete clinical information and ultrasound findings were enrolled in our study. Univariate and multivariate regression analyses were used to identify independent risk factors for progression-free survival (PFS) and overall survival (OS). Receiver operator characteristic (ROC) curves were plotted and the corresponding area under the curve (AUC) was calculated to assess the accuracy of the international prognostic index (IPI) and new model in DLBCL risk stratification. The results suggested that hilum loss and ineffective treatment were independent risk variables for both PFS and OS in DLBCL patients. Additionally, the new model that added hilum loss and ineffective treatment to IPI had a better AUC for PFS and OS than IPI alone (AUC: 0.90, 0.88, and 0.82 vs. 0.71, 0.74, and 0.68 for 1-, 3-, and 5-year PFS, respectively; AUC: 0.92, 0.85 and 0.86 vs. 0.71, 0.75 and 0.76, for 1-, 3-, and 5-year OS, respectively). The model based on ultrasound images could better suggest PFS and OS of DLBCL, allowing for better risk stratification. |
format | Online Article Text |
id | pubmed-9971016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99710162023-03-01 A model to predict the prognosis of diffuse large B-cell lymphoma based on ultrasound images Lu, Wenjuan Chen, Wenqin Zhou, Yasu Yuan, Ya Shu, Hua Deng, Hongyan Ye, Xinhua Sci Rep Article The purpose of this paper was to assess the value of ultrasonography in the prognosis of diffuse large b-cell lymphoma (DLBCL) by developing a new prognostic model. One hundred and eleven DLBCL patients with complete clinical information and ultrasound findings were enrolled in our study. Univariate and multivariate regression analyses were used to identify independent risk factors for progression-free survival (PFS) and overall survival (OS). Receiver operator characteristic (ROC) curves were plotted and the corresponding area under the curve (AUC) was calculated to assess the accuracy of the international prognostic index (IPI) and new model in DLBCL risk stratification. The results suggested that hilum loss and ineffective treatment were independent risk variables for both PFS and OS in DLBCL patients. Additionally, the new model that added hilum loss and ineffective treatment to IPI had a better AUC for PFS and OS than IPI alone (AUC: 0.90, 0.88, and 0.82 vs. 0.71, 0.74, and 0.68 for 1-, 3-, and 5-year PFS, respectively; AUC: 0.92, 0.85 and 0.86 vs. 0.71, 0.75 and 0.76, for 1-, 3-, and 5-year OS, respectively). The model based on ultrasound images could better suggest PFS and OS of DLBCL, allowing for better risk stratification. Nature Publishing Group UK 2023-02-27 /pmc/articles/PMC9971016/ /pubmed/36849532 http://dx.doi.org/10.1038/s41598-023-30533-y 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 Lu, Wenjuan Chen, Wenqin Zhou, Yasu Yuan, Ya Shu, Hua Deng, Hongyan Ye, Xinhua A model to predict the prognosis of diffuse large B-cell lymphoma based on ultrasound images |
title | A model to predict the prognosis of diffuse large B-cell lymphoma based on ultrasound images |
title_full | A model to predict the prognosis of diffuse large B-cell lymphoma based on ultrasound images |
title_fullStr | A model to predict the prognosis of diffuse large B-cell lymphoma based on ultrasound images |
title_full_unstemmed | A model to predict the prognosis of diffuse large B-cell lymphoma based on ultrasound images |
title_short | A model to predict the prognosis of diffuse large B-cell lymphoma based on ultrasound images |
title_sort | model to predict the prognosis of diffuse large b-cell lymphoma based on ultrasound images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971016/ https://www.ncbi.nlm.nih.gov/pubmed/36849532 http://dx.doi.org/10.1038/s41598-023-30533-y |
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