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Intravoxel incoherent motion to differentiate spinal metastasis: A pilot study

BACKGROUND: To investigate the value of intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) to discriminate spinal metastasis from tuberculous spondylitis. METHODS: This study included 50 patients with spinal metastasis (32 lung cancer, 7 breast cancer, 11 renal cancer), and 20 with...

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Autores principales: Zhang, Enlong, Li, Yuan, Xing, Xiaoying, Qin, Siyuan, Yuan, Huishu, Lang, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582254/
https://www.ncbi.nlm.nih.gov/pubmed/36276105
http://dx.doi.org/10.3389/fonc.2022.1012440
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author Zhang, Enlong
Li, Yuan
Xing, Xiaoying
Qin, Siyuan
Yuan, Huishu
Lang, Ning
author_facet Zhang, Enlong
Li, Yuan
Xing, Xiaoying
Qin, Siyuan
Yuan, Huishu
Lang, Ning
author_sort Zhang, Enlong
collection PubMed
description BACKGROUND: To investigate the value of intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) to discriminate spinal metastasis from tuberculous spondylitis. METHODS: This study included 50 patients with spinal metastasis (32 lung cancer, 7 breast cancer, 11 renal cancer), and 20 with tuberculous spondylitis. The IVIM parameters, including the single-index model (apparent diffusion coefficient (ADC)-stand), double exponential model (ADC(slow), ADC(fast), and f), and the stretched-exponential model parameters (distributed diffusion coefficient (DDC) and α), were acquired. Receiver operating characteristic (ROC) and the area under the ROC curve (AUC) analysis was used to evaluate the diagnostic performance. Each parameter was substituted into a logistic regression model to determine the meaningful parameters, and the combined diagnostic performance was evaluated. RESULTS: The ADC(fast) and f showed significant differences between spinal metastasis and tuberculous spondylitis (all p < 0.05). The logistic regression model results showed that ADC(fast) and f were independent factors affecting the outcome (P < 0.05). The AUC values of ADC(fast) and f were 0.823 (95% confidence interval (CI): 0.719 to 0.927) and 0.876 (95%CI: 0.782 to 0.969), respectively. ADC(fast) combined with f showed the highest AUC value of 0.925 (95% CI: 0.858 to 0.992). CONCLUSIONS: IVIM MR imaging might be helpful to differentiate spinal metastasis from tuberculous spondylitis, and provide guidance for clinical treatment.
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spelling pubmed-95822542022-10-21 Intravoxel incoherent motion to differentiate spinal metastasis: A pilot study Zhang, Enlong Li, Yuan Xing, Xiaoying Qin, Siyuan Yuan, Huishu Lang, Ning Front Oncol Oncology BACKGROUND: To investigate the value of intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) to discriminate spinal metastasis from tuberculous spondylitis. METHODS: This study included 50 patients with spinal metastasis (32 lung cancer, 7 breast cancer, 11 renal cancer), and 20 with tuberculous spondylitis. The IVIM parameters, including the single-index model (apparent diffusion coefficient (ADC)-stand), double exponential model (ADC(slow), ADC(fast), and f), and the stretched-exponential model parameters (distributed diffusion coefficient (DDC) and α), were acquired. Receiver operating characteristic (ROC) and the area under the ROC curve (AUC) analysis was used to evaluate the diagnostic performance. Each parameter was substituted into a logistic regression model to determine the meaningful parameters, and the combined diagnostic performance was evaluated. RESULTS: The ADC(fast) and f showed significant differences between spinal metastasis and tuberculous spondylitis (all p < 0.05). The logistic regression model results showed that ADC(fast) and f were independent factors affecting the outcome (P < 0.05). The AUC values of ADC(fast) and f were 0.823 (95% confidence interval (CI): 0.719 to 0.927) and 0.876 (95%CI: 0.782 to 0.969), respectively. ADC(fast) combined with f showed the highest AUC value of 0.925 (95% CI: 0.858 to 0.992). CONCLUSIONS: IVIM MR imaging might be helpful to differentiate spinal metastasis from tuberculous spondylitis, and provide guidance for clinical treatment. Frontiers Media S.A. 2022-10-06 /pmc/articles/PMC9582254/ /pubmed/36276105 http://dx.doi.org/10.3389/fonc.2022.1012440 Text en Copyright © 2022 Zhang, Li, Xing, Qin, Yuan and Lang 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
Zhang, Enlong
Li, Yuan
Xing, Xiaoying
Qin, Siyuan
Yuan, Huishu
Lang, Ning
Intravoxel incoherent motion to differentiate spinal metastasis: A pilot study
title Intravoxel incoherent motion to differentiate spinal metastasis: A pilot study
title_full Intravoxel incoherent motion to differentiate spinal metastasis: A pilot study
title_fullStr Intravoxel incoherent motion to differentiate spinal metastasis: A pilot study
title_full_unstemmed Intravoxel incoherent motion to differentiate spinal metastasis: A pilot study
title_short Intravoxel incoherent motion to differentiate spinal metastasis: A pilot study
title_sort intravoxel incoherent motion to differentiate spinal metastasis: a pilot study
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582254/
https://www.ncbi.nlm.nih.gov/pubmed/36276105
http://dx.doi.org/10.3389/fonc.2022.1012440
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