Literature DB >> 26391231

Comparison between magnetic resonance spectroscopy and diffusion weighted imaging in the evaluation of gliomas response after treatment.

Antonella Lotumolo1, Rocchina Caivano2, Paola Rabasco1, Giancarlo Iannelli1, Antonio Villonio1, Felice D' Antuono1, Matilde Gioioso1, Alexis Zandolino1, Luca Macarini3, Giuseppe Guglielmi4, Aldo Cammarota1.   

Abstract

PURPOSE: To compare magnetic resonance spectroscopy (MRS) and diffusion weighted imaging (DWI) in the assessment of progression and regression of brain tumors in order to assess whether there is correlation between MRS and DWI in the monitoring of patients with primary tumors after therapy.
METHODS: Magnetic resonance imaging (MRI) has been performed in 80 patients, 48 affected by high grade gliomas (HGG) and 32 affected by low grade gliomas (LGG). The variation of apparent diffusion coefficient (ADC) value and metabolite ratios before and after treatment has been used to test DWI sequences and MRS as predictor to response to therapy. Comparison between post contrast-enhancement sequences, MRS and DWI has been done in terms of accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Moreover statistical correlation of ADC deviations with MRS metabolites variations before and after therapy have been studied.
RESULTS: In the case of HGG, MRS shows better sensitivity, specificity, PPV, NPV and accuracy compared to DWI, especially when considering the Choline/N-acetylaspartate (Cho/NAA) ratio. Regarding the LGG, the technique that better evaluates the response to treatment appears to be the DWI. A moderate correlation between ADC deviations and Cho, Lipide (Lip) and Lactate (Lac) has been found in LGG; while NAA revealed to be weakly correlated to ADC variation. Considering HGG, a weak correlation has been found between ADC deviations and MRS metabolites.
CONCLUSION: Combination of DWI and MRS can help to characterize different changes related to treatment and to evaluate brain tumor response to treatment.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Brain neoplasm; Diffusion magnetic resonance imaging; Glioma

Mesh:

Substances:

Year:  2015        PMID: 26391231     DOI: 10.1016/j.ejrad.2015.09.005

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


  6 in total

Review 1.  Current Clinical Brain Tumor Imaging.

Authors:  Javier E Villanueva-Meyer; Marc C Mabray; Soonmee Cha
Journal:  Neurosurgery       Date:  2017-09-01       Impact factor: 4.654

2.  Predictive Value of Early Response to Chemoradiotherapy in Advanced Esophageal Squamous Cell Carcinoma by Diffusion-Weighted MR Imaging.

Authors:  Wei Chen; Ya-Ting Wang; Lili Guo; Zhaohuan Zhu; Hai-Fei Zhou; Genji Bai
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec

3.  Three-dimensional echo planar spectroscopic imaging for differentiation of true progression from pseudoprogression in patients with glioblastoma.

Authors:  Gaurav Verma; Sanjeev Chawla; Suyash Mohan; Sumei Wang; MacLean Nasrallah; Sulaiman Sheriff; Arati Desai; Steven Brem; Donald M O'Rourke; Ronald L Wolf; Andrew A Maudsley; Harish Poptani
Journal:  NMR Biomed       Date:  2018-12-17       Impact factor: 4.044

4.  Brain Metastases of Non-Small Cell Lung Cancer: Magnetic Resonance Spectroscopy for Clinical Outcome Assessment in Patients with Stereotactic Radiotherapy.

Authors:  Congli Jia; Zhengquan Li; Dong Guo; Zhen Zhang; Jingming Yu; Guangdong Jiang; Xiaobo Xing; Shengjun Ji; Feng Jin
Journal:  Onco Targets Ther       Date:  2020-12-22       Impact factor: 4.147

5.  Magnetic resonance imaging evaluation of treatment efficacy and prognosis for brain metastases in lung cancer patients after radiotherapy: A preliminary study.

Authors:  Yuhui Liu; Xibin Liu; Liang Xu; Liheng Liu; Yuhong Sun; Minghuan Li; Haiyan Zeng; Shuanghu Yuan; Jinming Yu
Journal:  Thorac Cancer       Date:  2018-05-17       Impact factor: 3.500

Review 6.  Glioma surveillance imaging: current strategies, shortcomings, challenges and outlook.

Authors:  Gehad Abdalla; Ahmed Hammam; Mustafa Anjari; Dr Felice D'Arco; Dr Sotirios Bisdas
Journal:  BJR Open       Date:  2020-06-23
  6 in total

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