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Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma
This study investigates whether baseline (18)F-FDG PET radiomic features can predict survival outcomes in patients with diffuse large B-cell lymphoma (DLBCL). We retrospectively enrolled 83 patients diagnosed with DLBCL who underwent (18)F-FDG PET scans before treatment. The patients were divided in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824203/ https://www.ncbi.nlm.nih.gov/pubmed/33379166 http://dx.doi.org/10.3390/diagnostics11010036 |
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author | Lue, Kun-Han Wu, Yi-Feng Lin, Hsin-Hon Hsieh, Tsung-Cheng Liu, Shu-Hsin Chan, Sheng-Chieh Chen, Yu-Hung |
author_facet | Lue, Kun-Han Wu, Yi-Feng Lin, Hsin-Hon Hsieh, Tsung-Cheng Liu, Shu-Hsin Chan, Sheng-Chieh Chen, Yu-Hung |
author_sort | Lue, Kun-Han |
collection | PubMed |
description | This study investigates whether baseline (18)F-FDG PET radiomic features can predict survival outcomes in patients with diffuse large B-cell lymphoma (DLBCL). We retrospectively enrolled 83 patients diagnosed with DLBCL who underwent (18)F-FDG PET scans before treatment. The patients were divided into the training cohort (n = 58) and the validation cohort (n = 25). Eighty radiomic features were extracted from the PET images for each patient. Least absolute shrinkage and selection operator regression were used to reduce the dimensionality within radiomic features. Cox proportional hazards model was used to determine the prognostic factors for progression-free survival (PFS) and overall survival (OS). A prognostic stratification model was built in the training cohort and validated in the validation cohort using Kaplan–Meier survival analysis. In the training cohort, run length non-uniformity (RLN), extracted from a gray level run length matrix (GLRLM), was independently associated with PFS (hazard ratio (HR) = 15.7, p = 0.007) and OS (HR = 8.64, p = 0.040). The International Prognostic Index was an independent prognostic factor for OS (HR = 2.63, p = 0.049). A prognostic stratification model was devised based on both risk factors, which allowed identification of three risk groups for PFS and OS in the training (p < 0.001 and p < 0.001) and validation (p < 0.001 and p = 0.020) cohorts. Our results indicate that the baseline (18)F-FDG PET radiomic feature, RLN(GLRLM), is an independent prognostic factor for survival outcomes. Furthermore, we propose a prognostic stratification model that may enable tailored therapeutic strategies for patients with DLBCL. |
format | Online Article Text |
id | pubmed-7824203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78242032021-01-24 Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma Lue, Kun-Han Wu, Yi-Feng Lin, Hsin-Hon Hsieh, Tsung-Cheng Liu, Shu-Hsin Chan, Sheng-Chieh Chen, Yu-Hung Diagnostics (Basel) Article This study investigates whether baseline (18)F-FDG PET radiomic features can predict survival outcomes in patients with diffuse large B-cell lymphoma (DLBCL). We retrospectively enrolled 83 patients diagnosed with DLBCL who underwent (18)F-FDG PET scans before treatment. The patients were divided into the training cohort (n = 58) and the validation cohort (n = 25). Eighty radiomic features were extracted from the PET images for each patient. Least absolute shrinkage and selection operator regression were used to reduce the dimensionality within radiomic features. Cox proportional hazards model was used to determine the prognostic factors for progression-free survival (PFS) and overall survival (OS). A prognostic stratification model was built in the training cohort and validated in the validation cohort using Kaplan–Meier survival analysis. In the training cohort, run length non-uniformity (RLN), extracted from a gray level run length matrix (GLRLM), was independently associated with PFS (hazard ratio (HR) = 15.7, p = 0.007) and OS (HR = 8.64, p = 0.040). The International Prognostic Index was an independent prognostic factor for OS (HR = 2.63, p = 0.049). A prognostic stratification model was devised based on both risk factors, which allowed identification of three risk groups for PFS and OS in the training (p < 0.001 and p < 0.001) and validation (p < 0.001 and p = 0.020) cohorts. Our results indicate that the baseline (18)F-FDG PET radiomic feature, RLN(GLRLM), is an independent prognostic factor for survival outcomes. Furthermore, we propose a prognostic stratification model that may enable tailored therapeutic strategies for patients with DLBCL. MDPI 2020-12-28 /pmc/articles/PMC7824203/ /pubmed/33379166 http://dx.doi.org/10.3390/diagnostics11010036 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lue, Kun-Han Wu, Yi-Feng Lin, Hsin-Hon Hsieh, Tsung-Cheng Liu, Shu-Hsin Chan, Sheng-Chieh Chen, Yu-Hung Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma |
title | Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma |
title_full | Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma |
title_fullStr | Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma |
title_full_unstemmed | Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma |
title_short | Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma |
title_sort | prognostic value of baseline radiomic features of (18)f-fdg pet in patients with diffuse large b-cell lymphoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824203/ https://www.ncbi.nlm.nih.gov/pubmed/33379166 http://dx.doi.org/10.3390/diagnostics11010036 |
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