Literature DB >> 33753992

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

Congxiao Wang1, Zhijian Xu2, Song Wang1, Lijing Peng3, Wei Zhang1, Xueda Li1, Lili Yang1, Ying Luan4, Tao Su1, Zixiang Li1, Xiaokun Hu1.   

Abstract

Objectives: To determine whether the minimum apparent diffusion coefficient (minADC) value can stratify survival in patients with glioma before 125I 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 125I 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 125I-treated patients, the hazard ratio for OS in patients with ADC≥1.0*10^-3 mm2·sec-1 (high minADC) versus ADC<1.0*10^-3 mm2·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-125I implantation was an independent predictor of OS and PFS in patients receiving 125I brachytherapy. Conclusions: Pre-125I implantation ADC analysis can stratify prognosis in 125I-treated patients with glioma, which may aid in choosing a suitable therapy for glioma patients. © The author(s).

Entities:  

Keywords:  125I brachytherapy; Gliomas; minimum ADC

Year:  2021        PMID: 33753992      PMCID: PMC7974523          DOI: 10.7150/jca.50789

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


  21 in total

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7.  Inverse correlation between choline magnetic resonance spectroscopy signal intensity and the apparent diffusion coefficient in human glioma.

Authors:  R K Gupta; U Sinha; T F Cloughesy; J R Alger
Journal:  Magn Reson Med       Date:  1999-01       Impact factor: 4.668

Review 8.  World Health Organization 2016 Classification of Central Nervous System Tumors.

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9.  Recurrent gliomas: comparison of computed tomography (CT)-guided 125I seed implantation therapy and traditional radiochemotherapy.

Authors:  Xiaokun Hu; Huijuan Qiu; Liang Zhang; Weidong Zhang; Yongqiang Ma; Zhizheng Qiao; Dong Chen; Jianjun Han; Guangfeng Duan; Fujun Zhang
Journal:  Cancer Biol Ther       Date:  2012-08-01       Impact factor: 4.742

10.  Comprehensive genomic characterization defines human glioblastoma genes and core pathways.

Authors: 
Journal:  Nature       Date:  2008-09-04       Impact factor: 49.962

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  1 in total

1.  Role of whole-body diffusion-weighted imaging in evaluation of multiple myeloma.

Authors:  Jiping Wang; Bei Zhang; Rongkui Zhang; Li Zhang; Wenyan Jiang; Yaqiu Jiang
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  1 in total

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