Literature DB >> 26860681

Residual low ADC and high FA at the resection margin correlate with poor chemoradiation response and overall survival in high-grade glioma patients.

Jinrong Qu1, Lei Qin2, Suchun Cheng3, Katherine Leung4, Xiang Li5, Hailiang Li6, Jianping Dai7, Tao Jiang7, Ayca Akgoz4, Ravi Seethamraju8, Qifeng Wang9, Rifaquat Rahman4, Shaowu Li7, Lin Ai7, Tianzi Jiang9, Geoffrey S Young10.   

Abstract

PURPOSE: We hypothesized that ADC and FA of enhancing tumor (ET) and/or non-enhancing tumor (NT) adjacent to the operative resection margin before and during temozolomide and/or chemoradiation may allow prediction of chemoradiation response and patient survival.
MATERIAL AND METHODS: DTI was acquired in 37 patients with newly diagnosed HGG at two time points: after resection at the time of pre-RT planning MRI (Baseline) and after 30Gy of radiation therapy (mid-RT). ADC and FA at each time point and change in ADC and FA between the two time points were assessed by hot spot method in both residual ET and NT within 2cm of the resection margin and correlated with overall survival (OS) using receiver operating characteristics (ROC) area under curve (AUC) analysis and log-rank testing.
RESULTS: At baseline NT ADC<104×10(-5)mm(2)/s was strongly correlated with shorter 15 month OS (95% CI: 227-412 days vs 492-695 days) compared to patients with higher ADC (AUC 0.82). There was good separation between the groups and significance at log-rank testing (p=0.0002). Baseline NT FA>0.257 also correlated with shorter OS (95% CI: 300-515 days vs 438-686 days), compared with patients with lower FA (AUC 0.74), but there was considerable overlap between the groups and non-significance at log-rank testing (p=0.089). Residual ET ADC increased significantly (p=0.0004) and FA decreased significantly (p=0.03) for all patients during early RT but the change in ADC and FA was less strongly correlated with OS than baseline NT metrics.
CONCLUSION: Post-operative pre-radiation baseline low ADC in non-enhancing tumor at the resection margin correlates strongly with worse treatment response and decreased overall survival in a heterogeneous sample of high grade glioma patients treated with radiation and/or temozolamide chemoradiation.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient; Fractional anisotropy; High grade glioma; Magnetic resonance imaging; Survival analysis

Mesh:

Substances:

Year:  2015        PMID: 26860681     DOI: 10.1016/j.ejrad.2015.12.026

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  10 in total

1.  Diffusion Magnetic Resonance Imaging Phenotypes Predict Overall Survival Benefit From Bevacizumab or Surgery in Recurrent Glioblastoma With Large Tumor Burden.

Authors:  Kunal S Patel; Richard G Everson; Jingwen Yao; Catalina Raymond; Jodi Goldman; Jacob Schlossman; Joseph Tsung; Caleb Tan; Whitney B Pope; Matthew S Ji; Nhung T Nguyen; Albert Lai; Phioanh L Nghiemphu; Linda M Liau; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  Neurosurgery       Date:  2020-10-15       Impact factor: 4.654

2.  Prognostic value of pretreatment diffusion-weighted magnetic resonance imaging for outcome prediction of colorectal cancer liver metastases undergoing 90Y-microsphere radioembolization.

Authors:  Frederic Carsten Schmeel; Birgit Simon; Julian Alexander Luetkens; Frank Träber; Carsten Meyer; Leonard Christopher Schmeel; Amir Sabet; Samer Ezziddin; Hans Heinz Schild; Dariusch Reza Hadizadeh
Journal:  J Cancer Res Clin Oncol       Date:  2017-03-19       Impact factor: 4.553

Review 3.  Diffusion MRI of cancer: From low to high b-values.

Authors:  Lei Tang; Xiaohong Joe Zhou
Journal:  J Magn Reson Imaging       Date:  2018-10-12       Impact factor: 4.813

4.  Deep Transfer Learning and Radiomics Feature Prediction of Survival of Patients with High-Grade Gliomas.

Authors:  W Han; L Qin; C Bay; X Chen; K-H Yu; N Miskin; A Li; X Xu; G Young
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-19       Impact factor: 3.825

5.  Interhemispheric Difference Images from Postoperative Diffusion Tensor Imaging of Gliomas.

Authors:  Robert Kosztyla; Stefan A Reinsberg; Vitali Moiseenko; Brian Toyota; Alan Nichol
Journal:  Cureus       Date:  2016-10-05

6.  Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma.

Authors:  Evan Neill; Tracy Luks; Manisha Dayal; Joanna J Phillips; Arie Perry; Llewellyn E Jalbert; Soonmee Cha; Annette Molinaro; Susan M Chang; Sarah J Nelson
Journal:  J Neurooncol       Date:  2017-01-25       Impact factor: 4.130

7.  Normalization of ADC does not improve correlation with overall survival in patients with high-grade glioma (HGG).

Authors:  Lei Qin; Angie Li; Jinrong Qu; Katherine Reinshagen; Xiang Li; Su-Chun Cheng; Annie Bryant; Geoffrey S Young
Journal:  J Neurooncol       Date:  2018-01-30       Impact factor: 4.130

8.  Multiband diffusion tensor imaging for presurgical mapping of motor and language pathways in patients with brain tumors.

Authors:  Mehrnaz Jenabi; Robert J Young; Raquel Moreno; Madeleine Gene; Nicholas Cho; Ricardo Otazo; Andrei I Holodny; Kyung K Peck
Journal:  J Neuroimaging       Date:  2021-04-05       Impact factor: 2.324

9.  Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change.

Authors:  Thomas L Chenevert; Dariya I Malyarenko; Craig J Galbán; Diana M Gomez-Hassan; Pia C Sundgren; Christina I Tsien; Brian D Ross
Journal:  Tomography       Date:  2019-03

10.  Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T1-weighted Contrast-enhanced Imaging.

Authors:  Ying-Zhi Sun; Lin-Feng Yan; Yu Han; Hai-Yan Nan; Gang Xiao; Qiang Tian; Wen-Hui Pu; Ze-Yang Li; Xiao-Cheng Wei; Wen Wang; Guang-Bin Cui
Journal:  BMC Med Imaging       Date:  2021-02-03       Impact factor: 1.930

  10 in total

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