Alireza Madadi

Tehran University of Medical Sciences

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Ali Haidari

Tehran University of Medical Sciences

Nasrin Rahimian

CHI Health Creighton University Medical Center - Bergan Mercy

Anahita Fathi Kazerooni

University of Pennsylvania

H. Saligheh Rad

Tehran University of Medical Sciences

H. Vafaeyan

Tehran University of Medical Sciences

Seyed Amir Ebrahimzadeh

Beth Israel Deaconess Medical Center

Meysam Mohseni

Wigner Research Centre for Physics

Hamidreza Saligheh Rad

Tehran University of Medical Sciences

Mojtaba Miri

Tehran University of Medical Sciences

Shaghayegh Karimi Alavijeh

Tehran University of Medical Sciences

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Tehran University of Medical Sciences

Imam Khomeini Hospital

University of Tehran

University of Pennsylvania

Harvard University

CHI Health Creighton University Medical Center - Bergan Mercy

Zanjan University of Medical Sciences

University of California, San Francisco

Shahid Beheshti University

Shahid Beheshti University of Medical Sciences

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Efficacy of 1H-MRSI and DWI for Non-invasive Grading of Brain Gliomas

Iranian Journal of Radiology (2016)

Mojtaba Miri Meysam Mohseni Alireza Madadi Kavous Firouznia Hamidreza Saligheh Rad

Background: Distinguishing low-grade from high-grade gliomas can aid in optimal treatment planning and prognostication. Diffusion-weighted imaging (DWI) and magnetic resonance spectroscopy (MRS) have been applied in several studies for non-invasive glioma grading. However, these studies focused on limited aspects of these imaging techniques and used different study setups, resulting in occasionally inconsistent and incomparable conclusions in the literature. Objectives: This study was designed to introduce the optimal imaging setup and the most reliable and applicable imaging parameters in glioma grading, using DWI and MRS. Patients and Methods: During this prospective study, using a 3T-MR scanner, 55 glioma patients underwent brain MRS with short, intermediate, and long echo times (TEs), as well as DWI using low, intermediate, and high b-values. Postoperatively, all of the specimens were graded pathologically using light microscopy. Results: We found that Max (Chol/Cr)/ Min (NAA/Cr) ((maximum choline to creatine ratio)/(minimum N-acetyl aspartate to creatine ratio)), followed by Max (Chol/ Cr), both in long-TE, were the most reliable metabolite ratios on MRS for accurate glioma grading. These had values for area under the curve (AUC) of 0.92 (P < 0.05) and 0.89 (P = 0.001), respectively, compared to conventional MR imaging (cMRI), which had an AUC of 0.83 (P < 0.05). DWI at maximal accuracy showed an AUC of 0.80 (P < 0.05). Conclusion: Max (Chol/Cr)/Min (NAA/Cr) in long-TE was the most reliable of all of the MRS parameters studied, while DWI showed no superiority over cMRI in glioma grading. No significant differences existed among the various b-values applied, or between the minimum and mean tumor apparent diffusion coefficient values used in DWI-based glioma grading.

Grading (engineering)

Creatine

10.5812/iranjradiol.17817

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Quantification of diagnostic biomarkers to detect multiple sclerosis lesions employing 1H-MRSI at 3T

Australasian Physical & Engineering Sciences in Medicine (2015)

H. Vafaeyan Seyed Amir Ebrahimzadeh Nasrin Rahimian Shaghayegh Karimi Alavijeh Alireza Madadi

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Choline

10.1007/s13246-015-0390-1

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Citations (11)