Literature DB >> 24594379

DCE and DSC MR perfusion imaging in the differentiation of recurrent tumour from treatment-related changes in patients with glioma.

K E Shin1, K J Ahn2, H S Choi3, S L Jung3, B S Kim3, S S Jeon4, Y G Hong4.   

Abstract

AIM: To retrospectively compare the utility of perfusion magnetic resonance imaging (MRI) in distinguishing treatment-related changes from recurrent disease in glioma patients.
MATERIALS AND METHODS: Thirty-one patients with histologically diagnosed gliomas and increased enhancement after or during concurrent (chemo-) radiation therapy were enrolled. They underwent dynamic contrast-enhanced (DCE) permeability MRI followed by dynamic susceptibility contrast (DSC) perfusion MRI. The vascular transfer constant (rK(trans)) and initial areas under the concentration curve (riAUC) were obtained from DCE MRI, and cerebral blood volume (rCBV) was obtained from DSC MRI. Patients were classified as having treatment-related changes or recurrent tumours based on clinicoradiological results or pathological results from surgery.
RESULTS: Nineteen patients were diagnosed as having recurrences and 12 patients as having treatment-related changes. The rK(trans), riAUC, and rCBV values in the recurrent group were significantly higher than the values in the group with treatment-related changes (p < 0.05). For all 31 patients, there was no significant difference between DSC MRI and DCE MRI for the differentiating power between recurrence and treatment-related changes (p = 0.7227). However, when including only the 24 patients with concordant values of rK(trans) and riAUC, DCE MRI showed a significant AUC value of 0.786 in the receiver operating characteristic (ROC) curve analysis (p = 0.003), whereas DSC MRI did not (AUC = 0.643, p = 0.229).
CONCLUSION: MRI perfusion images appear to show promise in distinguishing treatment-related changes from recurrent tumours. When both rK(trans) and riAUC show concordant values, DCE MRI seems to be more powerful than DSC MRI in the differentiation of recurrence from treatment-related changes.
Copyright © 2014 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 24594379     DOI: 10.1016/j.crad.2014.01.016

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  27 in total

Review 1.  Permeability imaging in pediatric brain tumors.

Authors:  Sandi Lam; Yimo Lin; Peter C Warnke
Journal:  Transl Pediatr       Date:  2014-07

2.  "Comment on Hatzoglou et al.: Dynamic contrast-enhanced MRI perfusion vs 18FDG PET/CT in differentiating brain tumor progression from radiation injury"-Reply.

Authors:  Robert J Young; T Jonathan Yang; Vaios Hatzoglou; Gary Ulaner; Antonio Omuro
Journal:  Neuro Oncol       Date:  2017-02-01       Impact factor: 12.300

Review 3.  Current concepts and challenges in the radiologic assessment of brain tumors in children: part 2.

Authors:  Benita Tamrazi; Kshitij Mankad; Marvin Nelson; Felice D'Arco
Journal:  Pediatr Radiol       Date:  2018-09-13

4.  Pixel-by-Pixel Comparison of Volume Transfer Constant and Estimates of Cerebral Blood Volume from Dynamic Contrast-Enhanced and Dynamic Susceptibility Contrast-Enhanced MR Imaging in High-Grade Gliomas.

Authors:  P Alcaide-Leon; D Pareto; E Martinez-Saez; C Auger; A Bharatha; A Rovira
Journal:  AJNR Am J Neuroradiol       Date:  2015-01-29       Impact factor: 3.825

Review 5.  Clinical Imaging for Diagnostic Challenges in the Management of Gliomas: A Review.

Authors:  Alipi V Bonm; Reed Ritterbusch; Patrick Throckmorton; Jerome J Graber
Journal:  J Neuroimaging       Date:  2020-01-10       Impact factor: 2.486

6.  Optimized inversion-time schedules for quantitative T1 measurements based on high-resolution multi-inversion EPI.

Authors:  Ouri Cohen; Jonathan R Polimeni
Journal:  Magn Reson Med       Date:  2017-08-27       Impact factor: 4.668

7.  Dynamic Contrast-Enhanced Perfusion MRI and Diffusion-Weighted Imaging in Grading of Gliomas.

Authors:  Julio Arevalo-Perez; Kyung K Peck; Robert J Young; Andrei I Holodny; Sasan Karimi; John K Lyo
Journal:  J Neuroimaging       Date:  2015-04-13       Impact factor: 2.486

8.  Demonstration of DCE-MRI as an early pharmacodynamic biomarker of response to VEGF Trap in glioblastoma.

Authors:  Allison F O'Neill; Lei Qin; Patrick Y Wen; John F de Groot; Annick D Van den Abbeele; Jeffrey T Yap
Journal:  J Neurooncol       Date:  2016-08-30       Impact factor: 4.130

9.  T1-Weighted Dynamic Contrast-Enhanced MRI as a Noninvasive Biomarker of Epidermal Growth Factor Receptor vIII Status.

Authors:  J Arevalo-Perez; A A Thomas; T Kaley; J Lyo; K K Peck; A I Holodny; I K Mellinghoff; W Shi; Z Zhang; R J Young
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-03       Impact factor: 3.825

10.  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

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