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

PurposeTo develop and validate a radiomics nomogram for predicting overall survival (OS) in multiple myeloma (MM) patients.Material and MethodsA 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...

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Autores principales:	Yang Li, Yang Liu, Ping Yin, Chuanxi Hao, Chao Sun, Lei Chen, Sicong Wang, Nan Hong
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	multiple myeloma magnetic resonance imaging radiomics nomogram survival Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/8b09d7804f174352a24a70a11f4f0730
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spelling	oai:doaj.org-article:8b09d7804f174352a24a70a11f4f07302021-12-01T23:57:05ZMRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma2234-943X10.3389/fonc.2021.709813https://doaj.org/article/8b09d7804f174352a24a70a11f4f07302021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.709813/fullhttps://doaj.org/toc/2234-943XPurposeTo develop and validate a radiomics nomogram for predicting overall survival (OS) in multiple myeloma (MM) patients.Material and MethodsA 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.ResultsThe 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).ConclusionThe MRI-based bone marrow radiomics may be an additional useful tool for MM OS prediction.Yang LiYang LiuYang LiuYang LiuPing YinChuanxi HaoChao SunLei ChenSicong WangNan HongFrontiers Media S.A.articlemultiple myelomamagnetic resonance imagingradiomicsnomogramsurvivalNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multiple myeloma magnetic resonance imaging radiomics nomogram survival Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	multiple myeloma magnetic resonance imaging radiomics nomogram survival Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Yang Li Yang Liu Yang Liu Yang Liu Ping Yin Chuanxi Hao Chao Sun Lei Chen Sicong Wang Nan Hong MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma
description	PurposeTo develop and validate a radiomics nomogram for predicting overall survival (OS) in multiple myeloma (MM) patients.Material and MethodsA 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.ResultsThe 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).ConclusionThe MRI-based bone marrow radiomics may be an additional useful tool for MM OS prediction.
format	article
author	Yang Li Yang Liu Yang Liu Yang Liu Ping Yin Chuanxi Hao Chao Sun Lei Chen Sicong Wang Nan Hong
author_facet	Yang Li Yang Liu Yang Liu Yang Liu Ping Yin Chuanxi Hao Chao Sun Lei Chen Sicong Wang Nan Hong
author_sort	Yang Li
title	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_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_sort	mri-based bone marrow radiomics nomogram for prediction of overall survival in patients with multiple myeloma
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/8b09d7804f174352a24a70a11f4f0730
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MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma

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