Literature DB >> 22141606

Distinction between postoperative recurrent glioma and delayed radiation injury using MR perfusion weighted imaging.

Jun-Ling Xu1, Da-Peng Shi, She-wei Dou, Yong-Li Li, Feng-shan Yan.   

Abstract

INTRODUCTION: Distinction between postoperative recurrent glioma and radiation injury remains a tough diagnostic problem for routine imaging methods. The purpose of this study is to evaluate the differentiated effectiveness of perfusion weighted imaging (PWI) for the two entities.
METHODS: PWI was performed using Siemens 3.0-T MR system for 35 patients with new contrast-enhancing lesions at the site of treated glioma. Regions of interest (ROIs) were manually drawn at the contrast-enhancing lesion and peri-lesion edema areas. For calculation of standardised relative cerebral blood volume (rCBV) ratios, the same size ROIs were drawn at the area of contralateral hemisphere normal white matter on rCBV maps. At least five ROIs were selected at each lesion. The rCBV values were measured and the rCBV ratios were calculated. The maximum rCBV (rCBV(max)) ratio at each region was chosen for analysis. The patients were divided into two groups: tumour recurrence and radiation injury. The mean rCBV(max) ratios were compared between the two groups.
RESULTS: The mean rCBV(max) ratio in the contrast-enhancing lesion was significantly higher in the tumour recurrence (4.36 ± 1.98) compared with that (1.28 ± 0.64) in the radiation injury (P < 0.01). The mean rCBV(max) ratio in the peri-lesion edema was also significantly higher in the tumour recurrence (1.79 ± 0.51) compared with that (0.85 ± 0.28) in the radiation injury (P < 0.05). A recurrent tumour was suggested when the rCBV(max) ratio >2.15 based on the receiver operating characteristic curve. Four patients with recurrent tumour and three with radiation injury were misclassified.
CONCLUSION: PWI is a useful method to distinguish tumour recurrence and radiation injury.
© 2011 The Authors. Journal of Medical Imaging and Radiation Oncology © 2011 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Mesh:

Year:  2011        PMID: 22141606     DOI: 10.1111/j.1754-9485.2011.02315.x

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  9 in total

1.  Recurrent glioblastoma multiforme versus radiation injury: a multiparametric 3-T MR approach.

Authors:  Alfonso Di Costanzo; Tommaso Scarabino; Francesca Trojsi; Teresa Popolizio; Simona Bonavita; Mario de Cristofaro; Renata Conforti; Adriana Cristofano; Claudio Colonnese; Ugo Salvolini; Gioacchino Tedeschi
Journal:  Radiol Med       Date:  2014-01-10       Impact factor: 3.469

2.  Perfusion-metabolism coupling in recurrent gliomas: a prospective validation study with 13N-ammonia and 18F-fluorodeoxyglucose PET/CT.

Authors:  Bangkim Chandra Khangembam; Sellam Karunanithi; Punit Sharma; Sudhir Suman Kc; Rajeev Kumar; Pramod Kumar Julka; Rakesh Kumar; Chandrasekhar Bal
Journal:  Neuroradiology       Date:  2014-07-03       Impact factor: 2.804

Review 3.  Response Assessment in Neuro-Oncology Criteria for Gliomas: Practical Approach Using Conventional and Advanced Techniques.

Authors:  D J Leao; P G Craig; L F Godoy; C C Leite; B Policeni
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-19       Impact factor: 3.825

4.  Differentiation of recurrent diffuse glioma from treatment-induced change using amide proton transfer imaging: incremental value to diffusion and perfusion parameters.

Authors:  Yae Won Park; Sung Soo Ahn; Eui Hyun Kim; Seok-Gu Kang; Jong Hee Chang; Se Hoon Kim; Jinyuan Zhou; Seung-Koo Lee
Journal:  Neuroradiology       Date:  2020-09-02       Impact factor: 2.804

Review 5.  Advanced magnetic resonance imaging methods for planning and monitoring radiation therapy in patients with high-grade glioma.

Authors:  Janine M Lupo; Sarah J Nelson
Journal:  Semin Radiat Oncol       Date:  2014-07-26       Impact factor: 5.934

6.  Chinese Guidelines for the Diagnosis and Management of Tumefactive Demyelinating Lesions of Central Nervous System.

Authors: 
Journal:  Chin Med J (Engl)       Date:  2017-08-05       Impact factor: 2.628

Review 7.  Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis.

Authors:  Bart R J van Dijken; Peter Jan van Laar; Gea A Holtman; Anouk van der Hoorn
Journal:  Eur Radiol       Date:  2017-03-22       Impact factor: 5.315

8.  The diagnostic performance of perfusion MRI for differentiating glioma recurrence from pseudoprogression: A meta-analysis.

Authors:  Bing Wan; Siqi Wang; Mengqi Tu; Bo Wu; Ping Han; Haibo Xu
Journal:  Medicine (Baltimore)       Date:  2017-03       Impact factor: 1.889

9.  Differentiating Radiation-Induced Necrosis from Recurrent Brain Tumor Using MR Perfusion and Spectroscopy: A Meta-Analysis.

Authors:  Ming-Tsung Chuang; Yi-Sheng Liu; Yi-Shan Tsai; Ying-Chen Chen; Chien-Kuo Wang
Journal:  PLoS One       Date:  2016-01-07       Impact factor: 3.240

  9 in total

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