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MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma

PURPOSE: To develop and validate a radiomics nomogram for predicting overall survival (OS) in multiple myeloma (MM) patients. MATERIAL AND METHODS: A total of 121 MM patients was enrolled and divided into training (n=84) and validation (n=37) sets. The radiomics signature was established by the sele...

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Autores principales: Li, Yang, Liu, Yang, Yin, Ping, Hao, Chuanxi, Sun, Chao, Chen, Lei, Wang, Sicong, Hong, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671997/
https://www.ncbi.nlm.nih.gov/pubmed/34926240
http://dx.doi.org/10.3389/fonc.2021.709813
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author Li, Yang
Liu, Yang
Yin, Ping
Hao, Chuanxi
Sun, Chao
Chen, Lei
Wang, Sicong
Hong, Nan
author_facet Li, Yang
Liu, Yang
Yin, Ping
Hao, Chuanxi
Sun, Chao
Chen, Lei
Wang, Sicong
Hong, Nan
author_sort Li, Yang
collection PubMed
description PURPOSE: To develop and validate a radiomics nomogram for predicting overall survival (OS) in multiple myeloma (MM) patients. MATERIAL AND METHODS: A total of 121 MM patients was enrolled and divided into training (n=84) and validation (n=37) sets. The radiomics signature was established by the selected radiomics features from lumbar MRI. The radiomics signature and clinical risk factors were integrated in multivariate Cox regression model for constructing radiomics nomogram to predict MM OS. The predictive ability and accuracy of the nomogram were evaluated by the index of concordance (C-index) and calibration curves, and compared with other four models including the clinical model, radiomics signature model, the Durie-Salmon staging system (D-S) and the International Staging System (ISS). The potential association between the radiomics signature and progression-free survival (PFS) was also explored. RESULTS: The radiomics signature, 1q21 gain, del (17p), and β2-MG≥5.5 mg/L showed significant association with MM OS. The predictive ability of radiomics nomogram was better than the clinical model, radiomics signature model, the D-S and the ISS (C-index: 0.793 vs. 0.733 vs. 0.742 vs. 0.554 vs. 0.671 in training set, and 0.812 vs. 0.799 vs.0.717 vs. 0.512 vs. 0.761 in validation set). The radiomics signature lacked the predictive ability for PFS (log-rank P=0.001 in training set and log-rank P=0.103 in validation set), whereas the 1-, 2- and 3-year PFS rates all showed significant difference between the high and low risk groups (P ≤ 0.05). CONCLUSION: The MRI-based bone marrow radiomics may be an additional useful tool for MM OS prediction.
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spelling pubmed-86719972021-12-16 MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma Li, Yang Liu, Yang Yin, Ping Hao, Chuanxi Sun, Chao Chen, Lei Wang, Sicong Hong, Nan Front Oncol Oncology PURPOSE: To develop and validate a radiomics nomogram for predicting overall survival (OS) in multiple myeloma (MM) patients. MATERIAL AND METHODS: A total of 121 MM patients was enrolled and divided into training (n=84) and validation (n=37) sets. The radiomics signature was established by the selected radiomics features from lumbar MRI. The radiomics signature and clinical risk factors were integrated in multivariate Cox regression model for constructing radiomics nomogram to predict MM OS. The predictive ability and accuracy of the nomogram were evaluated by the index of concordance (C-index) and calibration curves, and compared with other four models including the clinical model, radiomics signature model, the Durie-Salmon staging system (D-S) and the International Staging System (ISS). The potential association between the radiomics signature and progression-free survival (PFS) was also explored. RESULTS: The radiomics signature, 1q21 gain, del (17p), and β2-MG≥5.5 mg/L showed significant association with MM OS. The predictive ability of radiomics nomogram was better than the clinical model, radiomics signature model, the D-S and the ISS (C-index: 0.793 vs. 0.733 vs. 0.742 vs. 0.554 vs. 0.671 in training set, and 0.812 vs. 0.799 vs.0.717 vs. 0.512 vs. 0.761 in validation set). The radiomics signature lacked the predictive ability for PFS (log-rank P=0.001 in training set and log-rank P=0.103 in validation set), whereas the 1-, 2- and 3-year PFS rates all showed significant difference between the high and low risk groups (P ≤ 0.05). CONCLUSION: The MRI-based bone marrow radiomics may be an additional useful tool for MM OS prediction. Frontiers Media S.A. 2021-12-01 /pmc/articles/PMC8671997/ /pubmed/34926240 http://dx.doi.org/10.3389/fonc.2021.709813 Text en Copyright © 2021 Li, Liu, Yin, Hao, Sun, Chen, Wang and Hong 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 Oncology
Li, Yang
Liu, Yang
Yin, Ping
Hao, Chuanxi
Sun, Chao
Chen, Lei
Wang, Sicong
Hong, Nan
MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma
title MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma
title_full MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma
title_fullStr MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma
title_full_unstemmed MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma
title_short MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma
title_sort mri-based bone marrow radiomics nomogram for prediction of overall survival in patients with multiple myeloma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671997/
https://www.ncbi.nlm.nih.gov/pubmed/34926240
http://dx.doi.org/10.3389/fonc.2021.709813
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