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Clinical importance of ADC in the prediction of (125)I in the treatment for gliomas

Objectives: To determine whether the minimum apparent diffusion coefficient (minADC) value can stratify survival in patients with glioma before (125)I brachytherapy. Methods: The study was approved by the Institutional Review Board, and the requirement for informed consent was waived. Twenty-three p...

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Autores principales: Wang, Congxiao, Xu, Zhijian, Wang, Song, Peng, Lijing, Zhang, Wei, Li, Xueda, Yang, Lili, Luan, Ying, Su, Tao, Li, Zixiang, Hu, Xiaokun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7974523/
https://www.ncbi.nlm.nih.gov/pubmed/33753992
http://dx.doi.org/10.7150/jca.50789
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author Wang, Congxiao
Xu, Zhijian
Wang, Song
Peng, Lijing
Zhang, Wei
Li, Xueda
Yang, Lili
Luan, Ying
Su, Tao
Li, Zixiang
Hu, Xiaokun
author_facet Wang, Congxiao
Xu, Zhijian
Wang, Song
Peng, Lijing
Zhang, Wei
Li, Xueda
Yang, Lili
Luan, Ying
Su, Tao
Li, Zixiang
Hu, Xiaokun
author_sort Wang, Congxiao
collection PubMed
description Objectives: To determine whether the minimum apparent diffusion coefficient (minADC) value can stratify survival in patients with glioma before (125)I brachytherapy. Methods: The study was approved by the Institutional Review Board, and the requirement for informed consent was waived. Twenty-three patients (16 male, 7 female; median age, 48 years) with high-grade glioma (HGG) (n=9) or recurrence after multimodal treatment (n=14) were included in this study. minADC values were obtained before (125)I implantation. Overall survival (OS) and progression-free survival (PFS) were analyzed with Cox proportional hazards regression models and the Kaplan-Meier method with the log-rank test. Results: For (125)I-treated patients, the hazard ratio for OS in patients with ADC≥1.0*10^(-3) mm(2)·sec(-1) (high minADC) versus ADC<1.0*10^(-3) mm(2)·sec(-1) (low minADC) was 0.220 (95% confidence interval: 0.066, 0.735). The median OS was 12 months for patients with high minADC values and 6.0 months for those with low minADC values, and the differences were significant (p=0.032). The median PFS was 12 months for patients with high minADC values and 4 months for those with low minADC values. Significant differences were found in the long-rank test (p=0.013). The multivariate analysis results showed that minADC pre-(125)I implantation was an independent predictor of OS and PFS in patients receiving (125)I brachytherapy. Conclusions: Pre-(125)I implantation ADC analysis can stratify prognosis in (125)I-treated patients with glioma, which may aid in choosing a suitable therapy for glioma patients.
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spelling pubmed-79745232021-03-21 Clinical importance of ADC in the prediction of (125)I in the treatment for gliomas Wang, Congxiao Xu, Zhijian Wang, Song Peng, Lijing Zhang, Wei Li, Xueda Yang, Lili Luan, Ying Su, Tao Li, Zixiang Hu, Xiaokun J Cancer Research Paper Objectives: To determine whether the minimum apparent diffusion coefficient (minADC) value can stratify survival in patients with glioma before (125)I brachytherapy. Methods: The study was approved by the Institutional Review Board, and the requirement for informed consent was waived. Twenty-three patients (16 male, 7 female; median age, 48 years) with high-grade glioma (HGG) (n=9) or recurrence after multimodal treatment (n=14) were included in this study. minADC values were obtained before (125)I implantation. Overall survival (OS) and progression-free survival (PFS) were analyzed with Cox proportional hazards regression models and the Kaplan-Meier method with the log-rank test. Results: For (125)I-treated patients, the hazard ratio for OS in patients with ADC≥1.0*10^(-3) mm(2)·sec(-1) (high minADC) versus ADC<1.0*10^(-3) mm(2)·sec(-1) (low minADC) was 0.220 (95% confidence interval: 0.066, 0.735). The median OS was 12 months for patients with high minADC values and 6.0 months for those with low minADC values, and the differences were significant (p=0.032). The median PFS was 12 months for patients with high minADC values and 4 months for those with low minADC values. Significant differences were found in the long-rank test (p=0.013). The multivariate analysis results showed that minADC pre-(125)I implantation was an independent predictor of OS and PFS in patients receiving (125)I brachytherapy. Conclusions: Pre-(125)I implantation ADC analysis can stratify prognosis in (125)I-treated patients with glioma, which may aid in choosing a suitable therapy for glioma patients. Ivyspring International Publisher 2021-01-30 /pmc/articles/PMC7974523/ /pubmed/33753992 http://dx.doi.org/10.7150/jca.50789 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Wang, Congxiao
Xu, Zhijian
Wang, Song
Peng, Lijing
Zhang, Wei
Li, Xueda
Yang, Lili
Luan, Ying
Su, Tao
Li, Zixiang
Hu, Xiaokun
Clinical importance of ADC in the prediction of (125)I in the treatment for gliomas
title Clinical importance of ADC in the prediction of (125)I in the treatment for gliomas
title_full Clinical importance of ADC in the prediction of (125)I in the treatment for gliomas
title_fullStr Clinical importance of ADC in the prediction of (125)I in the treatment for gliomas
title_full_unstemmed Clinical importance of ADC in the prediction of (125)I in the treatment for gliomas
title_short Clinical importance of ADC in the prediction of (125)I in the treatment for gliomas
title_sort clinical importance of adc in the prediction of (125)i in the treatment for gliomas
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7974523/
https://www.ncbi.nlm.nih.gov/pubmed/33753992
http://dx.doi.org/10.7150/jca.50789
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