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Development and Validation of a Nomogram Based on (18)F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis

Purpose: Hemophagocytic lymphohistiocytosis (HLH) is a rare and severe disease with a poor prognosis. We aimed to determine if (18)F-fluorodeoxyglucose ((18)F-FDG) PET/CT-derived radiomic features alone or combination with clinical parameters could predict survival in adult HLH. Methods: This study...

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Autores principales: Yang, Xu, Liu, Jun, Lu, Xia, Kan, Ying, Wang, Wei, Zhang, Shuxin, Liu, Lei, Zhang, Hui, Li, Jixia, Yang, Jigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740551/
https://www.ncbi.nlm.nih.gov/pubmed/35004761
http://dx.doi.org/10.3389/fmed.2021.792677
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author Yang, Xu
Liu, Jun
Lu, Xia
Kan, Ying
Wang, Wei
Zhang, Shuxin
Liu, Lei
Zhang, Hui
Li, Jixia
Yang, Jigang
author_facet Yang, Xu
Liu, Jun
Lu, Xia
Kan, Ying
Wang, Wei
Zhang, Shuxin
Liu, Lei
Zhang, Hui
Li, Jixia
Yang, Jigang
author_sort Yang, Xu
collection PubMed
description Purpose: Hemophagocytic lymphohistiocytosis (HLH) is a rare and severe disease with a poor prognosis. We aimed to determine if (18)F-fluorodeoxyglucose ((18)F-FDG) PET/CT-derived radiomic features alone or combination with clinical parameters could predict survival in adult HLH. Methods: This study included 70 adults with HLH (training cohort, n = 50; validation cohort, n = 20) who underwent pretherapeutic (18)F-FDG PET/CT scans between August 2016 and June 2020. Radiomic features were extracted from the liver and spleen on CT and PET images. For evaluation of 6-month survival, the features exhibiting p < 0.1 in the univariate analysis between non-survivors and survivors were selected. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to develop a radiomics score (Rad-score). A nomogram was built by the multivariate regression analysis to visualize the predictive model for 3-month, 6-month, and 1-year survival, while the performance and usefulness of the model were evaluated by calibration curves, the receiver operating characteristic (ROC) curves, and decision curves. Results: The Rad-score was able to predict 6-month survival in adult HLH, with area under the ROC curves (AUCs) of 0.927 (95% CI: 0.878–0.974) and 0.869 (95% CI: 0.697–1.000) in the training and validation cohorts, respectively. The radiomics nomogram combining the Rad-score with the clinical parameters resulted in better performance for predicting 6-month survival than the clinical model or the Rad-score alone. Moreover, the nomogram displayed superior discrimination, calibration, and clinical usefulness in both the cohorts. Conclusion: The newly developed Rad-score is a powerful predictor for overall survival (OS) in adults with HLH. The nomogram has great potential for predicting 3-month, 6-month, and 1-year survival, which may timely guide personalized treatments for adult HLH.
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spelling pubmed-87405512022-01-08 Development and Validation of a Nomogram Based on (18)F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis Yang, Xu Liu, Jun Lu, Xia Kan, Ying Wang, Wei Zhang, Shuxin Liu, Lei Zhang, Hui Li, Jixia Yang, Jigang Front Med (Lausanne) Medicine Purpose: Hemophagocytic lymphohistiocytosis (HLH) is a rare and severe disease with a poor prognosis. We aimed to determine if (18)F-fluorodeoxyglucose ((18)F-FDG) PET/CT-derived radiomic features alone or combination with clinical parameters could predict survival in adult HLH. Methods: This study included 70 adults with HLH (training cohort, n = 50; validation cohort, n = 20) who underwent pretherapeutic (18)F-FDG PET/CT scans between August 2016 and June 2020. Radiomic features were extracted from the liver and spleen on CT and PET images. For evaluation of 6-month survival, the features exhibiting p < 0.1 in the univariate analysis between non-survivors and survivors were selected. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to develop a radiomics score (Rad-score). A nomogram was built by the multivariate regression analysis to visualize the predictive model for 3-month, 6-month, and 1-year survival, while the performance and usefulness of the model were evaluated by calibration curves, the receiver operating characteristic (ROC) curves, and decision curves. Results: The Rad-score was able to predict 6-month survival in adult HLH, with area under the ROC curves (AUCs) of 0.927 (95% CI: 0.878–0.974) and 0.869 (95% CI: 0.697–1.000) in the training and validation cohorts, respectively. The radiomics nomogram combining the Rad-score with the clinical parameters resulted in better performance for predicting 6-month survival than the clinical model or the Rad-score alone. Moreover, the nomogram displayed superior discrimination, calibration, and clinical usefulness in both the cohorts. Conclusion: The newly developed Rad-score is a powerful predictor for overall survival (OS) in adults with HLH. The nomogram has great potential for predicting 3-month, 6-month, and 1-year survival, which may timely guide personalized treatments for adult HLH. Frontiers Media S.A. 2021-12-22 /pmc/articles/PMC8740551/ /pubmed/35004761 http://dx.doi.org/10.3389/fmed.2021.792677 Text en Copyright © 2021 Yang, Liu, Lu, Kan, Wang, Zhang, Liu, Zhang, Li and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Yang, Xu
Liu, Jun
Lu, Xia
Kan, Ying
Wang, Wei
Zhang, Shuxin
Liu, Lei
Zhang, Hui
Li, Jixia
Yang, Jigang
Development and Validation of a Nomogram Based on (18)F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis
title Development and Validation of a Nomogram Based on (18)F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis
title_full Development and Validation of a Nomogram Based on (18)F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis
title_fullStr Development and Validation of a Nomogram Based on (18)F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis
title_full_unstemmed Development and Validation of a Nomogram Based on (18)F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis
title_short Development and Validation of a Nomogram Based on (18)F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis
title_sort development and validation of a nomogram based on (18)f-fdg pet/ct radiomics to predict the overall survival in adult hemophagocytic lymphohistiocytosis
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740551/
https://www.ncbi.nlm.nih.gov/pubmed/35004761
http://dx.doi.org/10.3389/fmed.2021.792677
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