偏重MPG三軸同時印加DWIの特性とADC値
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| Published in | 日本放射線技術学会雑誌 Vol. 71; no. 7; pp. 595 - 604 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | Japanese |
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公益社団法人 日本放射線技術学会
2015
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| ISSN | 0369-4305 1881-4883 |
| DOI | 10.6009/jjrt.2015_JSRT_71.7.595 |
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| Author | 長壁, 航己 山口, 奈津美 小倉, 明夫 林, 則夫 秦野, 勇 小山, 大輔 |
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| References | 9) Guo Y, Cai YQ, Cai ZL, et al. Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging 2002; 16(2): 172-178. 14) Yankeelov TE, Lepage M, Chakravarthy A, et al. Integration of quantitativeDCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Magn Reson Imaging 2007; 25(1): 1-13. 16) Mardor Y, Pfeffer R, Spiegelmann R, et al. Early detection of response to radiation therapy in patients with brain malignancies using conventional and high b-value diffusion-weighted magnetic resonance imaging. J Clin Oncol 2003; 21(6): 10941100. 6) desouza NM, Reinsberg SA, Scurr ED, et al. Magnetic resonanceimaging in prostatecancer: thevalueof apparent diffusion coefficients for identifying malignant nodules. Br J Radiol 2007; 80(950): 90-95. 10) Sinha S, Lucas-Quesada FA, Sinha U, et al. In vivo diffusion-weighted MRI of the breast: potential for lesion characterization. JMRA 2002; 15: 693-704. 24) National Electrical Manufacturers Association: NEMA Standards Publication MS 2-2008: Determination of Signal-to-Noise Ratio (SNR) in Diagnostic Magnetic Resonance Imaging. 30) Ueguchi T, Yamada S, Mihara N, et al. Breast diffusion-weighted MRI: comparison of tetrahedral versus orthogonal diffusion sensitization for detection and localization of mass lesions. J Magn Reson Imaging 2011; 33(6): 1375-1381. 13) Pickles MD, Gibbs P, Lowry M, et al. Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. Magn Reson Imaging 2006; 24(7): 843-847. 25) National Electrical Manufacturers Association: NEMA Standards Publication MS 2-2008: Determination of Two-Dimensional Geometric Distortion in Diagnostic Resonance Images 8) Nakayama T, Yoshimitsu K, Irie H, et al. Diffusion-weighted echo-planar MR imaging and ADC mapping in the differential diagnosis of ovarian cystic masses: usefulness of detecting keratinoid substances in mature cystic teratomas. J Magn Reson Imaging 2005; 22(2): 271-278. 15) Theilmann RJ, Borders R, Trouard TP, et al. Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy. Neoplasia 2004; 6(6): 831-837. 22) Conturo TE, McKinstry RC, Akbudak E, et al.: Encoding of anisotropic diffusion with tetrahedral gradients: a general mathematical diffusion formalism and experimental results. Magn Reson Med 1996; 35(3): 399-412. 29) Ogura A, Hayakawa K, Miyati T, et al. Imaging parameter effects in apparent diffusion coefficient determination of magnetic resonance imaging. Eur J Radiol 2011; 77(1): 185-188. 23) Javier Sanchez-Gonzalez: How to Identify and Avoid; Artifacts on DWI. Diffusion MRI OutsidetheBrain, Springer-Verlag, Berlin Heidelberg, 2012: 17-31. 27) Yeom KW, Holdsworth SJ, Van AT, et al. Comparison of readout-segmented echo-planar imaging (EPI) and single-shot EPI in clinical application of diffusion-weighted imaging of thepediatric brain. AJR 2013; 200(5): 437-443. 12) Woodhams R, Matsunaga K, Iwabuchi K, et al. Diffusion-weighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension. J Comput Assist Tomogr 2005; 29(5): 644-649. 7) Eida S, Sumi M, Sakihama N, et al. Apparent diffusion coefficient mapping of salivary gland tumors: prediction of the benignancy and malignancy. AJNR Am J Neuroradiol 2007; 28(1): 116-121. 21) 高橋光幸，小倉明夫，尾崎正則，他．拡散強調画像における歪みの検討．日放技学誌 2009; 65(11): 1494-1501. 20) Sandrasegaran K, Patel AA, Ramaswamy R, et al. Characterization of adrenal masses with diffusion-weighted imaging. AJR Am J Roentgenol 2011; 197(1): 132-138. 26) Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA, http://imagej.nih.gov/ij/, 19972014. 2) Muti M, AprileI, Principi M, et al. Study on thevariations of the apparent diffusion coefficient in areas of solid tumor in high gradegliomas. Magn Reson Imaging 1999; 20(9): 53-60. 19) Khalid L, CaroneM, Dumrongpisutikul N, et al. Imaging characteristics of oligodendrogliomas that predict grade. AJNR Am J Neuroradiol 2012; 33(5): 852-857. 5) Matsushima N, Maeda M, Takamura M, et al. Apparent diffusion coefficients of benign and malignant salivary gland tumors; comparison to histopathological findings. Neuroradiol 2007; 34(3): 183-189. 17) Kul S, Cansu A, Alhan E, et al. Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors. AJR Am J Roentgenol 2011; 196(1): 210-217. 3) Park MJ, Cha ES, Kang BJ, et al. Theroleof diffusion-weighted imaging and the apparent diffusion coefficient (ADC) values for breast tumors. Korean J Radiol 2007; 8(5): 390-396. 11) Taouli B, Vilgrain V, Dumont E, et al. Evaluation of liver diffusion isotropy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences: prospective study in 66 patients. Radiology 2003; 226(1): 71-78. 18) Rechichi G, Galimberti S, Signorelli M, et al. Endometrial cancer: correlation of apparent diffusion coefficient with tumor grade, depth of myometrial invasion, and presence of lymph node metastases. AJR Am J Roentgenol 2011; 197(1): 256-262. 28) Yamada K, Kizu O, Mori S, et al. Brain fiber tracking with clinically feasible diffusion-tensor MR imaging: initial experience. Radiology 2003; 227(1): 295-301. 4) Yerli H, Agildere AM, Aydin E, at al. Value of apparent diffusion coefficient calculation in the differential diagnosis of parotid gland tumors. Acta Radiol 1987; 48(9): 980-987. 1) Bulakbasi N, Guvenc I, Onguru O, et al. The added value of the apparent diffusion coefficient calculation to magnetic resonanceimaging in thedifferentiation and grading of malignant brain tumors. J Comput Assist Tomogr 2004; 28(6): 735-746. |
| References_xml | – reference: 4) Yerli H, Agildere AM, Aydin E, at al. Value of apparent diffusion coefficient calculation in the differential diagnosis of parotid gland tumors. Acta Radiol 1987; 48(9): 980-987. – reference: 18) Rechichi G, Galimberti S, Signorelli M, et al. Endometrial cancer: correlation of apparent diffusion coefficient with tumor grade, depth of myometrial invasion, and presence of lymph node metastases. AJR Am J Roentgenol 2011; 197(1): 256-262. – reference: 3) Park MJ, Cha ES, Kang BJ, et al. Theroleof diffusion-weighted imaging and the apparent diffusion coefficient (ADC) values for breast tumors. Korean J Radiol 2007; 8(5): 390-396. – reference: 13) Pickles MD, Gibbs P, Lowry M, et al. Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. Magn Reson Imaging 2006; 24(7): 843-847. – reference: 27) Yeom KW, Holdsworth SJ, Van AT, et al. Comparison of readout-segmented echo-planar imaging (EPI) and single-shot EPI in clinical application of diffusion-weighted imaging of thepediatric brain. AJR 2013; 200(5): 437-443. – reference: 5) Matsushima N, Maeda M, Takamura M, et al. Apparent diffusion coefficients of benign and malignant salivary gland tumors; comparison to histopathological findings. Neuroradiol 2007; 34(3): 183-189. – reference: 11) Taouli B, Vilgrain V, Dumont E, et al. Evaluation of liver diffusion isotropy and characterization of focal hepatic lesions with two single-shot echo-planar MR imaging sequences: prospective study in 66 patients. Radiology 2003; 226(1): 71-78. – reference: 14) Yankeelov TE, Lepage M, Chakravarthy A, et al. Integration of quantitativeDCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Magn Reson Imaging 2007; 25(1): 1-13. – reference: 12) Woodhams R, Matsunaga K, Iwabuchi K, et al. Diffusion-weighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension. J Comput Assist Tomogr 2005; 29(5): 644-649. – reference: 15) Theilmann RJ, Borders R, Trouard TP, et al. Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy. Neoplasia 2004; 6(6): 831-837. – reference: 26) Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA, http://imagej.nih.gov/ij/, 19972014. – reference: 6) desouza NM, Reinsberg SA, Scurr ED, et al. Magnetic resonanceimaging in prostatecancer: thevalueof apparent diffusion coefficients for identifying malignant nodules. Br J Radiol 2007; 80(950): 90-95. – reference: 25) National Electrical Manufacturers Association: NEMA Standards Publication MS 2-2008: Determination of Two-Dimensional Geometric Distortion in Diagnostic Resonance Images – reference: 9) Guo Y, Cai YQ, Cai ZL, et al. Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging 2002; 16(2): 172-178. – reference: 29) Ogura A, Hayakawa K, Miyati T, et al. Imaging parameter effects in apparent diffusion coefficient determination of magnetic resonance imaging. Eur J Radiol 2011; 77(1): 185-188. – reference: 30) Ueguchi T, Yamada S, Mihara N, et al. Breast diffusion-weighted MRI: comparison of tetrahedral versus orthogonal diffusion sensitization for detection and localization of mass lesions. J Magn Reson Imaging 2011; 33(6): 1375-1381. – reference: 23) Javier Sanchez-Gonzalez: How to Identify and Avoid; Artifacts on DWI. Diffusion MRI OutsidetheBrain, Springer-Verlag, Berlin Heidelberg, 2012: 17-31. – reference: 19) Khalid L, CaroneM, Dumrongpisutikul N, et al. Imaging characteristics of oligodendrogliomas that predict grade. AJNR Am J Neuroradiol 2012; 33(5): 852-857. – reference: 28) Yamada K, Kizu O, Mori S, et al. Brain fiber tracking with clinically feasible diffusion-tensor MR imaging: initial experience. Radiology 2003; 227(1): 295-301. – reference: 21) 高橋光幸，小倉明夫，尾崎正則，他．拡散強調画像における歪みの検討．日放技学誌 2009; 65(11): 1494-1501. – reference: 22) Conturo TE, McKinstry RC, Akbudak E, et al.: Encoding of anisotropic diffusion with tetrahedral gradients: a general mathematical diffusion formalism and experimental results. Magn Reson Med 1996; 35(3): 399-412. – reference: 8) Nakayama T, Yoshimitsu K, Irie H, et al. Diffusion-weighted echo-planar MR imaging and ADC mapping in the differential diagnosis of ovarian cystic masses: usefulness of detecting keratinoid substances in mature cystic teratomas. J Magn Reson Imaging 2005; 22(2): 271-278. – reference: 17) Kul S, Cansu A, Alhan E, et al. Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors. AJR Am J Roentgenol 2011; 196(1): 210-217. – reference: 1) Bulakbasi N, Guvenc I, Onguru O, et al. The added value of the apparent diffusion coefficient calculation to magnetic resonanceimaging in thedifferentiation and grading of malignant brain tumors. J Comput Assist Tomogr 2004; 28(6): 735-746. – reference: 24) National Electrical Manufacturers Association: NEMA Standards Publication MS 2-2008: Determination of Signal-to-Noise Ratio (SNR) in Diagnostic Magnetic Resonance Imaging. – reference: 20) Sandrasegaran K, Patel AA, Ramaswamy R, et al. Characterization of adrenal masses with diffusion-weighted imaging. AJR Am J Roentgenol 2011; 197(1): 132-138. – reference: 10) Sinha S, Lucas-Quesada FA, Sinha U, et al. In vivo diffusion-weighted MRI of the breast: potential for lesion characterization. JMRA 2002; 15: 693-704. – reference: 16) Mardor Y, Pfeffer R, Spiegelmann R, et al. Early detection of response to radiation therapy in patients with brain malignancies using conventional and high b-value diffusion-weighted magnetic resonance imaging. J Clin Oncol 2003; 21(6): 10941100. – reference: 2) Muti M, AprileI, Principi M, et al. Study on thevariations of the apparent diffusion coefficient in areas of solid tumor in high gradegliomas. Magn Reson Imaging 1999; 20(9): 53-60. – reference: 7) Eida S, Sumi M, Sakihama N, et al. Apparent diffusion coefficient mapping of salivary gland tumors: prediction of the benignancy and malignancy. AJNR Am J Neuroradiol 2007; 28(1): 116-121. |
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| Title | 偏重MPG三軸同時印加DWIの特性とADC値 |
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