Khin Khin Tha1,2, Ulrich Katscher3, Shigeru Yamaguchi4, Christian Stehning3, Shunsuke Terasaka4, Noriyuki Fujima5, Kohsuke Kudo5,6, Ken Kazumata4, Toru Yamamoto7, Marc Van Cauteren8, Hiroki Shirato6,9. 1. Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N-14, W-5, Kita-ku, 060-8648, Sapporo, Japan. kktha@med.hokudai.ac.jp. 2. Global Station for Quantum Medical Science and Engineering, Global Institution for Collaborative Research and Education, Hokkaido University, Sapporo, Japan. kktha@med.hokudai.ac.jp. 3. Philips Research Laboratories, Hamburg, Germany. 4. Department of Neurosurgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan. 5. Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N-14, W-5, Kita-ku, 060-8648, Sapporo, Japan. 6. Global Station for Quantum Medical Science and Engineering, Global Institution for Collaborative Research and Education, Hokkaido University, Sapporo, Japan. 7. Faculty of Health Sciences, Hokkaido University, Sapporo, Japan. 8. Clinical Science Philips Healthtech Asia Pacific, Tokyo, Japan. 9. Department of Radiation Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Abstract
OBJECTIVES: This study noninvasively examined the electrical conductivity (σ) characteristics of diffuse gliomas using MRI and tested its validity. METHODS: MRI including a 3D steady-state free precession (3D SSFP) sequence was performed on 30 glioma patients. The σ maps were reconstructed from the phase images of the 3D SSFP sequence. The σ histogram metrics were extracted and compared among the contrast-enhanced (CET) and noncontrast-enhanced tumour components (NCET) and normal brain parenchyma (NP). Difference in tumour σ histogram metrics among tumour grades and correlation of σ metrics with tumour grades were tested. Validity of σ measurement using this technique was tested by correlating the mean tumour σ values measured using MRI with those measured ex vivo using a dielectric probe. RESULTS: Several σ histogram metrics of CET and NCET of diffuse gliomas were significantly higher than NP (Bonferroni-corrected p ≤ .045). The maximum σ of NCET showed a moderate positive correlation with tumour grade (r = .571, Bonferroni-corrected p = .018). The mean tumour σ measured using MRI showed a moderate positive correlation with the σ measured ex vivo (r = .518, p = .040). CONCLUSIONS: Tissue σ can be evaluated using MRI, incorporation of which may better characterise diffuse gliomas. KEY POINTS: • This study tested the validity of noninvasive electrical conductivity measurements by MRI. • This study also evaluated the electrical conductivity characteristics of diffuse glioma. • Gliomas have higher electrical conductivity values than the normal brain parenchyma. • Noninvasive electrical conductivity measurement can be helpful for better characterisation of glioma.
OBJECTIVES: This study noninvasively examined the electrical conductivity (σ) characteristics of diffuse gliomas using MRI and tested its validity. METHODS: MRI including a 3D steady-state free precession (3D SSFP) sequence was performed on 30 gliomapatients. The σ maps were reconstructed from the phase images of the 3D SSFP sequence. The σ histogram metrics were extracted and compared among the contrast-enhanced (CET) and noncontrast-enhanced tumour components (NCET) and normal brain parenchyma (NP). Difference in tumour σ histogram metrics among tumour grades and correlation of σ metrics with tumour grades were tested. Validity of σ measurement using this technique was tested by correlating the mean tumour σ values measured using MRI with those measured ex vivo using a dielectric probe. RESULTS: Several σ histogram metrics of CET and NCET of diffuse gliomas were significantly higher than NP (Bonferroni-corrected p ≤ .045). The maximum σ of NCET showed a moderate positive correlation with tumour grade (r = .571, Bonferroni-corrected p = .018). The mean tumour σ measured using MRI showed a moderate positive correlation with the σ measured ex vivo (r = .518, p = .040). CONCLUSIONS: Tissue σ can be evaluated using MRI, incorporation of which may better characterise diffuse gliomas. KEY POINTS: • This study tested the validity of noninvasive electrical conductivity measurements by MRI. • This study also evaluated the electrical conductivity characteristics of diffuse glioma. • Gliomas have higher electrical conductivity values than the normal brain parenchyma. • Noninvasive electrical conductivity measurement can be helpful for better characterisation of glioma.
Authors: Astrid L H M W van Lier; Alexander Raaijmakers; Tobias Voigt; Jan J W Lagendijk; Peter R Luijten; Ulrich Katscher; Cornelis A T van den Berg Journal: Magn Reson Med Date: 2013-02-11 Impact factor: 4.668
Authors: David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison Journal: Acta Neuropathol Date: 2016-05-09 Impact factor: 17.088
Authors: R K Gupta; T F Cloughesy; U Sinha; J Garakian; J Lazareff; G Rubino; L Rubino; D P Becker; H V Vinters; J R Alger Journal: J Neurooncol Date: 2000-12 Impact factor: 4.130
Authors: Yicun Wang; Qi Shao; Pierre-Francois Van de Moortele; Emilian Racila; Jiaen Liu; John Bischof; Bin He Journal: Magn Reson Med Date: 2018-09-19 Impact factor: 4.668
Authors: Stefano Mandija; Petar I Petrov; Jord J T Vink; Sebastian F W Neggers; Cornelis A T van den Berg Journal: Brain Topogr Date: 2020-12-08 Impact factor: 3.020
Authors: Ghoncheh Amouzandeh; Frederic Mentink-Vigier; Shannon Helsper; F Andrew Bagdasarian; Jens T Rosenberg; Samuel C Grant Journal: Phys Med Biol Date: 2020-02-28 Impact factor: 3.609
Authors: Soraya Gavazzi; Cornelis A T van den Berg; Alessandro Sbrizzi; H Petra Kok; Lukas J A Stalpers; Jan J W Lagendijk; Hans Crezee; Astrid L H M W van Lier Journal: Magn Reson Med Date: 2019-02-08 Impact factor: 4.668
Authors: Stefano Mandija; Ettore F Meliadò; Niek R F Huttinga; Peter R Luijten; Cornelis A T van den Berg Journal: Sci Rep Date: 2019-06-20 Impact factor: 4.379