Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging
Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used t...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mikayama, Ryoji [verfasserIn] Yabuuchi, Hidetake [verfasserIn] Matsumoto, Ryoji [verfasserIn] Kobayashi, Koji [verfasserIn] Yamashita, Yasuo [verfasserIn] Kimura, Mitsuhiro [verfasserIn] Kamitani, Takeshi [verfasserIn] Sagiyama, Koji [verfasserIn] Yamasaki, Yuzo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Magnetic resonance materials in physics, biology and medicine - Heidelberg : Springer, 1993, 33(2020), 4 vom: 03. Jan., Seite 507-513 |
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| Übergeordnetes Werk: |
volume:33 ; year:2020 ; number:4 ; day:03 ; month:01 ; pages:507-513 |
| Links: |
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| DOI / URN: |
10.1007/s10334-019-00823-6 |
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| Katalog-ID: |
SPR040310132 |
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| 100 | 1 | |a Mikayama, Ryoji |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
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| 520 | |a Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. Discussion A phantom simulating the diffusion restriction correlating with cell density and size could be developed. | ||
| 650 | 4 | |a Diffusion-weighted imaging |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Apparent diffusion coefficient |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Standardized phantom |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Tumor cell growth |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Cell edema |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Yabuuchi, Hidetake |e verfasserin |4 aut | |
| 700 | 1 | |a Matsumoto, Ryoji |e verfasserin |4 aut | |
| 700 | 1 | |a Kobayashi, Koji |e verfasserin |4 aut | |
| 700 | 1 | |a Yamashita, Yasuo |e verfasserin |4 aut | |
| 700 | 1 | |a Kimura, Mitsuhiro |e verfasserin |4 aut | |
| 700 | 1 | |a Kamitani, Takeshi |e verfasserin |4 aut | |
| 700 | 1 | |a Sagiyama, Koji |e verfasserin |4 aut | |
| 700 | 1 | |a Yamasaki, Yuzo |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Magnetic resonance materials in physics, biology and medicine |d Heidelberg : Springer, 1993 |g 33(2020), 4 vom: 03. Jan., Seite 507-513 |w (DE-627)308449711 |w (DE-600)1502491-X |x 1352-8661 |7 nnns |
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10.1007/s10334-019-00823-6 doi (DE-627)SPR040310132 (SPR)s10334-019-00823-6-e DE-627 ger DE-627 rakwb eng 610 570 530 ASE 610 ASE 33.07 bkl 35.25 bkl 44.64 bkl Mikayama, Ryoji verfasserin aut Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. Discussion A phantom simulating the diffusion restriction correlating with cell density and size could be developed. Diffusion-weighted imaging (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Standardized phantom (dpeaa)DE-He213 Tumor cell growth (dpeaa)DE-He213 Cell edema (dpeaa)DE-He213 Yabuuchi, Hidetake verfasserin aut Matsumoto, Ryoji verfasserin aut Kobayashi, Koji verfasserin aut Yamashita, Yasuo verfasserin aut Kimura, Mitsuhiro verfasserin aut Kamitani, Takeshi verfasserin aut Sagiyama, Koji verfasserin aut Yamasaki, Yuzo verfasserin aut Enthalten in Magnetic resonance materials in physics, biology and medicine Heidelberg : Springer, 1993 33(2020), 4 vom: 03. Jan., Seite 507-513 (DE-627)308449711 (DE-600)1502491-X 1352-8661 nnns volume:33 year:2020 number:4 day:03 month:01 pages:507-513 https://dx.doi.org/10.1007/s10334-019-00823-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.07 ASE 35.25 ASE 44.64 ASE AR 33 2020 4 03 01 507-513 |
| spelling |
10.1007/s10334-019-00823-6 doi (DE-627)SPR040310132 (SPR)s10334-019-00823-6-e DE-627 ger DE-627 rakwb eng 610 570 530 ASE 610 ASE 33.07 bkl 35.25 bkl 44.64 bkl Mikayama, Ryoji verfasserin aut Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. Discussion A phantom simulating the diffusion restriction correlating with cell density and size could be developed. Diffusion-weighted imaging (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Standardized phantom (dpeaa)DE-He213 Tumor cell growth (dpeaa)DE-He213 Cell edema (dpeaa)DE-He213 Yabuuchi, Hidetake verfasserin aut Matsumoto, Ryoji verfasserin aut Kobayashi, Koji verfasserin aut Yamashita, Yasuo verfasserin aut Kimura, Mitsuhiro verfasserin aut Kamitani, Takeshi verfasserin aut Sagiyama, Koji verfasserin aut Yamasaki, Yuzo verfasserin aut Enthalten in Magnetic resonance materials in physics, biology and medicine Heidelberg : Springer, 1993 33(2020), 4 vom: 03. Jan., Seite 507-513 (DE-627)308449711 (DE-600)1502491-X 1352-8661 nnns volume:33 year:2020 number:4 day:03 month:01 pages:507-513 https://dx.doi.org/10.1007/s10334-019-00823-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.07 ASE 35.25 ASE 44.64 ASE AR 33 2020 4 03 01 507-513 |
| allfields_unstemmed |
10.1007/s10334-019-00823-6 doi (DE-627)SPR040310132 (SPR)s10334-019-00823-6-e DE-627 ger DE-627 rakwb eng 610 570 530 ASE 610 ASE 33.07 bkl 35.25 bkl 44.64 bkl Mikayama, Ryoji verfasserin aut Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. Discussion A phantom simulating the diffusion restriction correlating with cell density and size could be developed. Diffusion-weighted imaging (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Standardized phantom (dpeaa)DE-He213 Tumor cell growth (dpeaa)DE-He213 Cell edema (dpeaa)DE-He213 Yabuuchi, Hidetake verfasserin aut Matsumoto, Ryoji verfasserin aut Kobayashi, Koji verfasserin aut Yamashita, Yasuo verfasserin aut Kimura, Mitsuhiro verfasserin aut Kamitani, Takeshi verfasserin aut Sagiyama, Koji verfasserin aut Yamasaki, Yuzo verfasserin aut Enthalten in Magnetic resonance materials in physics, biology and medicine Heidelberg : Springer, 1993 33(2020), 4 vom: 03. Jan., Seite 507-513 (DE-627)308449711 (DE-600)1502491-X 1352-8661 nnns volume:33 year:2020 number:4 day:03 month:01 pages:507-513 https://dx.doi.org/10.1007/s10334-019-00823-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.07 ASE 35.25 ASE 44.64 ASE AR 33 2020 4 03 01 507-513 |
| allfieldsGer |
10.1007/s10334-019-00823-6 doi (DE-627)SPR040310132 (SPR)s10334-019-00823-6-e DE-627 ger DE-627 rakwb eng 610 570 530 ASE 610 ASE 33.07 bkl 35.25 bkl 44.64 bkl Mikayama, Ryoji verfasserin aut Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. Discussion A phantom simulating the diffusion restriction correlating with cell density and size could be developed. Diffusion-weighted imaging (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Standardized phantom (dpeaa)DE-He213 Tumor cell growth (dpeaa)DE-He213 Cell edema (dpeaa)DE-He213 Yabuuchi, Hidetake verfasserin aut Matsumoto, Ryoji verfasserin aut Kobayashi, Koji verfasserin aut Yamashita, Yasuo verfasserin aut Kimura, Mitsuhiro verfasserin aut Kamitani, Takeshi verfasserin aut Sagiyama, Koji verfasserin aut Yamasaki, Yuzo verfasserin aut Enthalten in Magnetic resonance materials in physics, biology and medicine Heidelberg : Springer, 1993 33(2020), 4 vom: 03. Jan., Seite 507-513 (DE-627)308449711 (DE-600)1502491-X 1352-8661 nnns volume:33 year:2020 number:4 day:03 month:01 pages:507-513 https://dx.doi.org/10.1007/s10334-019-00823-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.07 ASE 35.25 ASE 44.64 ASE AR 33 2020 4 03 01 507-513 |
| allfieldsSound |
10.1007/s10334-019-00823-6 doi (DE-627)SPR040310132 (SPR)s10334-019-00823-6-e DE-627 ger DE-627 rakwb eng 610 570 530 ASE 610 ASE 33.07 bkl 35.25 bkl 44.64 bkl Mikayama, Ryoji verfasserin aut Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. Discussion A phantom simulating the diffusion restriction correlating with cell density and size could be developed. Diffusion-weighted imaging (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Standardized phantom (dpeaa)DE-He213 Tumor cell growth (dpeaa)DE-He213 Cell edema (dpeaa)DE-He213 Yabuuchi, Hidetake verfasserin aut Matsumoto, Ryoji verfasserin aut Kobayashi, Koji verfasserin aut Yamashita, Yasuo verfasserin aut Kimura, Mitsuhiro verfasserin aut Kamitani, Takeshi verfasserin aut Sagiyama, Koji verfasserin aut Yamasaki, Yuzo verfasserin aut Enthalten in Magnetic resonance materials in physics, biology and medicine Heidelberg : Springer, 1993 33(2020), 4 vom: 03. Jan., Seite 507-513 (DE-627)308449711 (DE-600)1502491-X 1352-8661 nnns volume:33 year:2020 number:4 day:03 month:01 pages:507-513 https://dx.doi.org/10.1007/s10334-019-00823-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.07 ASE 35.25 ASE 44.64 ASE AR 33 2020 4 03 01 507-513 |
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Enthalten in Magnetic resonance materials in physics, biology and medicine 33(2020), 4 vom: 03. Jan., Seite 507-513 volume:33 year:2020 number:4 day:03 month:01 pages:507-513 |
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Enthalten in Magnetic resonance materials in physics, biology and medicine 33(2020), 4 vom: 03. Jan., Seite 507-513 volume:33 year:2020 number:4 day:03 month:01 pages:507-513 |
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Diffusion-weighted imaging Apparent diffusion coefficient Standardized phantom Tumor cell growth Cell edema |
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Magnetic resonance materials in physics, biology and medicine |
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Mikayama, Ryoji @@aut@@ Yabuuchi, Hidetake @@aut@@ Matsumoto, Ryoji @@aut@@ Kobayashi, Koji @@aut@@ Yamashita, Yasuo @@aut@@ Kimura, Mitsuhiro @@aut@@ Kamitani, Takeshi @@aut@@ Sagiyama, Koji @@aut@@ Yamasaki, Yuzo @@aut@@ |
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2020-01-03T00:00:00Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR040310132</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519074353.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10334-019-00823-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR040310132</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10334-019-00823-6-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="a">570</subfield><subfield code="a">530</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">33.07</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">35.25</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.64</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mikayama, Ryoji</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. 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|
| author |
Mikayama, Ryoji |
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Mikayama, Ryoji ddc 610 bkl 33.07 bkl 35.25 bkl 44.64 misc Diffusion-weighted imaging misc Apparent diffusion coefficient misc Standardized phantom misc Tumor cell growth misc Cell edema Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging |
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Mikayama, Ryoji |
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electronic Article |
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610 - Medicine & health 570 - Life sciences; biology 530 - Physics |
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1352-8661 |
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610 570 530 ASE 610 ASE 33.07 bkl 35.25 bkl 44.64 bkl Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging Diffusion-weighted imaging (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Standardized phantom (dpeaa)DE-He213 Tumor cell growth (dpeaa)DE-He213 Cell edema (dpeaa)DE-He213 |
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ddc 610 bkl 33.07 bkl 35.25 bkl 44.64 misc Diffusion-weighted imaging misc Apparent diffusion coefficient misc Standardized phantom misc Tumor cell growth misc Cell edema |
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ddc 610 bkl 33.07 bkl 35.25 bkl 44.64 misc Diffusion-weighted imaging misc Apparent diffusion coefficient misc Standardized phantom misc Tumor cell growth misc Cell edema |
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ddc 610 bkl 33.07 bkl 35.25 bkl 44.64 misc Diffusion-weighted imaging misc Apparent diffusion coefficient misc Standardized phantom misc Tumor cell growth misc Cell edema |
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Elektronische Aufsätze Aufsätze Elektronische Ressource |
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Magnetic resonance materials in physics, biology and medicine |
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610 - Medicine & health 570 - Life sciences; biology 530 - Physics |
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Magnetic resonance materials in physics, biology and medicine |
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Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging |
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| title_full |
Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging |
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Mikayama, Ryoji |
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Magnetic resonance materials in physics, biology and medicine |
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Magnetic resonance materials in physics, biology and medicine |
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eng |
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2020 |
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Mikayama, Ryoji Yabuuchi, Hidetake Matsumoto, Ryoji Kobayashi, Koji Yamashita, Yasuo Kimura, Mitsuhiro Kamitani, Takeshi Sagiyama, Koji Yamasaki, Yuzo |
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Mikayama, Ryoji |
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10.1007/s10334-019-00823-6 |
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610 570 530 |
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verfasserin |
| title_sort |
development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging |
| title_auth |
Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging |
| abstract |
Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. Discussion A phantom simulating the diffusion restriction correlating with cell density and size could be developed. |
| abstractGer |
Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. Discussion A phantom simulating the diffusion restriction correlating with cell density and size could be developed. |
| abstract_unstemmed |
Objective A phantom for diffusion-weighted imaging is required to standardize quantitative evaluation. The objectives were to develop a phantom simulating various cell densities and to evaluate repeatability. Materials and methods The acrylic fine particles with three different diameters were used to simulate human cells. Four-degree cell density components were developed by adjusting the volume of 10-μm particles (5, 20, 35, and 50% volume, respectively). Two-degree components to simulate cell edema were also developed by adjusting the diameter without changing number (17% and 40% volume, respectively). Spearman’s rank correlation coefficient was used to find a significant correlation between apparent diffusion coefficient (ADC) and particle density. Coefficient of variation (CV) for ADC was calculated for each component for 6 months. A p value < 0.05 represented a statistically significance. Results Each component (particle ratio of 5, 17, 20, 35, 40, and 50% volume, respectively) presented ADC values of 1.42, 1.30, 1.30, 1.12, 1.09, and 0.89 (× $ 10^{−3} $ $ mm^{2} $/s), respectively. A negative correlation (r = − 0.986, p < 0.05) was observed between ADC values and particle ratio. CV for ADC was less than 5%. Discussion A phantom simulating the diffusion restriction correlating with cell density and size could be developed. |
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Development of a new phantom simulating extracellular space of tumor cell growth and cell edema for diffusion-weighted magnetic resonance imaging |
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https://dx.doi.org/10.1007/s10334-019-00823-6 |
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Yabuuchi, Hidetake Matsumoto, Ryoji Kobayashi, Koji Yamashita, Yasuo Kimura, Mitsuhiro Kamitani, Takeshi Sagiyama, Koji Yamasaki, Yuzo |
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Yabuuchi, Hidetake Matsumoto, Ryoji Kobayashi, Koji Yamashita, Yasuo Kimura, Mitsuhiro Kamitani, Takeshi Sagiyama, Koji Yamasaki, Yuzo |
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2024-07-03T15:09:09.682Z |
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|
| score |
7.399599 |