Literature DB >> 29274693

Apparent diffusion coefficient histogram analysis for prediction of prognosis in glioblastoma.

Masatoshi Kondo1, Yoshikazu Uchiyama2.   

Abstract

BACKGROUND: To investigate the potential to predict prognosis of glioblastoma (GBM) patients by analysis of the broader and lower values in the lower distribution of apparent diffusion coefficient (ADCL) (B&L-ADCL) values in the ADC histogram.
BACKGROUND: Presurgical publicly available diffusion-weighted images (DWI) and contrast-enhanced T1-weighted images from 76 GBM patients were analyzed. With applied 2-mixture normal distribution in the ADC histogram of enhanced lesions on T1-weighted images, the mean and width of ADCL were analyzed. We dichotomized the lower mean of ADCL (L-ADCL) and the broader width of ADCL (B-ADCL) at their own average. B&L-ADCL was defined as B-ADCL with L-ADCL. Progression-free survival (PFS) and overall survival (OS) were determined by using Cox proportional hazards analysis and the Kaplan-Meier method with the log-rank test. The difference between PFS and OS was calculated.
RESULTS: Six (7.89%) patients had B&amp;L-ADCL values. B&amp;L-ADCL was strongly associated with poor PFS (hazard risk: 5.747; P=0.002) and OS (hazard risk: 3.331; P=0.018). There were significant differences in PFS (median, 77 vs. 302 days; P<0.001) and OS (median, 199 vs. 472 days; P=0.004) between the patents with and without B&amp;L-ADCL. There was no significant difference in the OS-PFS duration difference between the patients with (median, 79 days) and without B&amp;L-ADCL (median, 132 days) (P=0.348).
CONCLUSION: In this study, B&amp;L-ADCL from pretreatment ADC analysis predicted poor PFS. B&amp;L-ADCL may indicate higher cellularity and heterogeneity in GBM tumor tissue.
Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient; Glioblastoma; Histogram analysis; Progression-free survival

Mesh:

Year:  2017        PMID: 29274693     DOI: 10.1016/j.neurad.2017.11.011

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  6 in total

1.  Diffusion-weighted imaging for predicting tumor consistency and extent of resection in patients with pituitary adenoma.

Authors:  Wei Ding; Zheng Huang; Gaofeng Zhou; Lang Li; Mingyu Zhang; Zhenyan Li
Journal:  Neurosurg Rev       Date:  2021-01-28       Impact factor: 3.042

2.  Glioblastoma Stem-like Cell Detection Using Perfusion and Diffusion MRI.

Authors:  Tanguy Duval; Jean-Albert Lotterie; Anthony Lemarie; Caroline Delmas; Fatima Tensaouti; Elizabeth Cohen-Jonathan Moyal; Vincent Lubrano
Journal:  Cancers (Basel)       Date:  2022-06-04       Impact factor: 6.575

3.  Histogram analysis of apparent diffusion coefficient predicts response to radiofrequency ablation in hepatocellular carcinoma.

Authors:  Xiaohong Ma; Han Ouyang; Shuang Wang; Meng Wang; Chunwu Zhou; Xinming Zhao
Journal:  Chin J Cancer Res       Date:  2019-04       Impact factor: 5.087

4.  Using arterial spin labeling blood flow and its histogram analysis to distinguish early-stage nasopharyngeal carcinoma from lymphoid hyperplasia.

Authors:  Bohan Xiao; Peiguo Wang; Yingru Zhao; Ying Liu; Zhaoxiang Ye
Journal:  Medicine (Baltimore)       Date:  2021-02-26       Impact factor: 1.817

5.  PET/MR in recurrent glioblastoma patients treated with regorafenib: [18F]FET and DWI-ADC for response assessment and survival prediction.

Authors:  Giuseppe Lombardi; Alessandro Spimpolo; Sara Berti; Cristina Campi; Maria Giulia Anglani; Rossella Simeone; Laura Evangelista; Francesco Causin; Giovanni Zorzi; Giancarlo Gorgoni; Mario Caccese; Marta Padovan; Vittorina Zagonel; Diego Cecchin
Journal:  Br J Radiol       Date:  2021-11-23       Impact factor: 3.039

6.  Whole brain apparent diffusion coefficient measurements correlate with survival in glioblastoma patients.

Authors:  Aaron Michael Rulseh; Josef Vymazal
Journal:  J Neurooncol       Date:  2019-12-03       Impact factor: 4.130

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.