Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging
Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of...
Ausführliche Beschreibung
Autor*in: |
Okuda, Koichi [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2015 |
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Übergeordnetes Werk: |
Enthalten in: European journal of nuclear medicine and molecular imaging - Heidelberg [u.a.] : Springer-Verl., 2002, 43(2015), 2 vom: 23. Aug., Seite 319-325 |
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Übergeordnetes Werk: |
volume:43 ; year:2015 ; number:2 ; day:23 ; month:08 ; pages:319-325 |
Links: |
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DOI / URN: |
10.1007/s00259-015-3173-8 |
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Katalog-ID: |
SPR003157415 |
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100 | 1 | |a Okuda, Koichi |e verfasserin |4 aut | |
245 | 1 | 0 | |a Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging |
264 | 1 | |c 2015 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a © Springer-Verlag Berlin Heidelberg 2015 | ||
520 | |a Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. Moreover, $ WR_{4h} $ that was mathematically calculated using the estimated $ count_{4h} $ was comparable to the actual $ WR_{4h} $. | ||
650 | 4 | |a Cardiac |7 (dpeaa)DE-He213 | |
650 | 4 | |a I-MIBG imaging |7 (dpeaa)DE-He213 | |
650 | 4 | |a Washout rate |7 (dpeaa)DE-He213 | |
650 | 4 | |a Cardiac sympathetic innervation |7 (dpeaa)DE-He213 | |
650 | 4 | |a Linear regression model |7 (dpeaa)DE-He213 | |
700 | 1 | |a Nakajima, Kenichi |4 aut | |
700 | 1 | |a Sugino, Shuichi |4 aut | |
700 | 1 | |a Kirihara, Yumiko |4 aut | |
700 | 1 | |a Matsuo, Shinro |4 aut | |
700 | 1 | |a Taki, Junichi |4 aut | |
700 | 1 | |a Hashimoto, Mitsumasa |4 aut | |
700 | 1 | |a Kinuya, Seigo |4 aut | |
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10.1007/s00259-015-3173-8 doi (DE-627)SPR003157415 (SPR)s00259-015-3173-8-e DE-627 ger DE-627 rakwb eng Okuda, Koichi verfasserin aut Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. Moreover, $ WR_{4h} $ that was mathematically calculated using the estimated $ count_{4h} $ was comparable to the actual $ WR_{4h} $. Cardiac (dpeaa)DE-He213 I-MIBG imaging (dpeaa)DE-He213 Washout rate (dpeaa)DE-He213 Cardiac sympathetic innervation (dpeaa)DE-He213 Linear regression model (dpeaa)DE-He213 Nakajima, Kenichi aut Sugino, Shuichi aut Kirihara, Yumiko aut Matsuo, Shinro aut Taki, Junichi aut Hashimoto, Mitsumasa aut Kinuya, Seigo aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 43(2015), 2 vom: 23. Aug., Seite 319-325 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:43 year:2015 number:2 day:23 month:08 pages:319-325 https://dx.doi.org/10.1007/s00259-015-3173-8 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 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 AR 43 2015 2 23 08 319-325 |
spelling |
10.1007/s00259-015-3173-8 doi (DE-627)SPR003157415 (SPR)s00259-015-3173-8-e DE-627 ger DE-627 rakwb eng Okuda, Koichi verfasserin aut Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. Moreover, $ WR_{4h} $ that was mathematically calculated using the estimated $ count_{4h} $ was comparable to the actual $ WR_{4h} $. Cardiac (dpeaa)DE-He213 I-MIBG imaging (dpeaa)DE-He213 Washout rate (dpeaa)DE-He213 Cardiac sympathetic innervation (dpeaa)DE-He213 Linear regression model (dpeaa)DE-He213 Nakajima, Kenichi aut Sugino, Shuichi aut Kirihara, Yumiko aut Matsuo, Shinro aut Taki, Junichi aut Hashimoto, Mitsumasa aut Kinuya, Seigo aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 43(2015), 2 vom: 23. Aug., Seite 319-325 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:43 year:2015 number:2 day:23 month:08 pages:319-325 https://dx.doi.org/10.1007/s00259-015-3173-8 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 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 AR 43 2015 2 23 08 319-325 |
allfields_unstemmed |
10.1007/s00259-015-3173-8 doi (DE-627)SPR003157415 (SPR)s00259-015-3173-8-e DE-627 ger DE-627 rakwb eng Okuda, Koichi verfasserin aut Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. Moreover, $ WR_{4h} $ that was mathematically calculated using the estimated $ count_{4h} $ was comparable to the actual $ WR_{4h} $. Cardiac (dpeaa)DE-He213 I-MIBG imaging (dpeaa)DE-He213 Washout rate (dpeaa)DE-He213 Cardiac sympathetic innervation (dpeaa)DE-He213 Linear regression model (dpeaa)DE-He213 Nakajima, Kenichi aut Sugino, Shuichi aut Kirihara, Yumiko aut Matsuo, Shinro aut Taki, Junichi aut Hashimoto, Mitsumasa aut Kinuya, Seigo aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 43(2015), 2 vom: 23. Aug., Seite 319-325 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:43 year:2015 number:2 day:23 month:08 pages:319-325 https://dx.doi.org/10.1007/s00259-015-3173-8 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 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 AR 43 2015 2 23 08 319-325 |
allfieldsGer |
10.1007/s00259-015-3173-8 doi (DE-627)SPR003157415 (SPR)s00259-015-3173-8-e DE-627 ger DE-627 rakwb eng Okuda, Koichi verfasserin aut Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. Moreover, $ WR_{4h} $ that was mathematically calculated using the estimated $ count_{4h} $ was comparable to the actual $ WR_{4h} $. Cardiac (dpeaa)DE-He213 I-MIBG imaging (dpeaa)DE-He213 Washout rate (dpeaa)DE-He213 Cardiac sympathetic innervation (dpeaa)DE-He213 Linear regression model (dpeaa)DE-He213 Nakajima, Kenichi aut Sugino, Shuichi aut Kirihara, Yumiko aut Matsuo, Shinro aut Taki, Junichi aut Hashimoto, Mitsumasa aut Kinuya, Seigo aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 43(2015), 2 vom: 23. Aug., Seite 319-325 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:43 year:2015 number:2 day:23 month:08 pages:319-325 https://dx.doi.org/10.1007/s00259-015-3173-8 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 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 AR 43 2015 2 23 08 319-325 |
allfieldsSound |
10.1007/s00259-015-3173-8 doi (DE-627)SPR003157415 (SPR)s00259-015-3173-8-e DE-627 ger DE-627 rakwb eng Okuda, Koichi verfasserin aut Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. Moreover, $ WR_{4h} $ that was mathematically calculated using the estimated $ count_{4h} $ was comparable to the actual $ WR_{4h} $. Cardiac (dpeaa)DE-He213 I-MIBG imaging (dpeaa)DE-He213 Washout rate (dpeaa)DE-He213 Cardiac sympathetic innervation (dpeaa)DE-He213 Linear regression model (dpeaa)DE-He213 Nakajima, Kenichi aut Sugino, Shuichi aut Kirihara, Yumiko aut Matsuo, Shinro aut Taki, Junichi aut Hashimoto, Mitsumasa aut Kinuya, Seigo aut Enthalten in European journal of nuclear medicine and molecular imaging Heidelberg [u.a.] : Springer-Verl., 2002 43(2015), 2 vom: 23. Aug., Seite 319-325 (DE-627)359787258 (DE-600)2098375-X 1619-7089 nnns volume:43 year:2015 number:2 day:23 month:08 pages:319-325 https://dx.doi.org/10.1007/s00259-015-3173-8 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_65 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_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 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 AR 43 2015 2 23 08 319-325 |
language |
English |
source |
Enthalten in European journal of nuclear medicine and molecular imaging 43(2015), 2 vom: 23. Aug., Seite 319-325 volume:43 year:2015 number:2 day:23 month:08 pages:319-325 |
sourceStr |
Enthalten in European journal of nuclear medicine and molecular imaging 43(2015), 2 vom: 23. Aug., Seite 319-325 volume:43 year:2015 number:2 day:23 month:08 pages:319-325 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Cardiac I-MIBG imaging Washout rate Cardiac sympathetic innervation Linear regression model |
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container_title |
European journal of nuclear medicine and molecular imaging |
authorswithroles_txt_mv |
Okuda, Koichi @@aut@@ Nakajima, Kenichi @@aut@@ Sugino, Shuichi @@aut@@ Kirihara, Yumiko @@aut@@ Matsuo, Shinro @@aut@@ Taki, Junichi @@aut@@ Hashimoto, Mitsumasa @@aut@@ Kinuya, Seigo @@aut@@ |
publishDateDaySort_date |
2015-08-23T00:00:00Z |
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359787258 |
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SPR003157415 |
language_de |
englisch |
fullrecord |
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However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. 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author |
Okuda, Koichi |
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Okuda, Koichi misc Cardiac misc I-MIBG imaging misc Washout rate misc Cardiac sympathetic innervation misc Linear regression model Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging |
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Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging Cardiac (dpeaa)DE-He213 I-MIBG imaging (dpeaa)DE-He213 Washout rate (dpeaa)DE-He213 Cardiac sympathetic innervation (dpeaa)DE-He213 Linear regression model (dpeaa)DE-He213 |
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misc Cardiac misc I-MIBG imaging misc Washout rate misc Cardiac sympathetic innervation misc Linear regression model |
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misc Cardiac misc I-MIBG imaging misc Washout rate misc Cardiac sympathetic innervation misc Linear regression model |
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Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging |
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(DE-627)SPR003157415 (SPR)s00259-015-3173-8-e |
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Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging |
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Okuda, Koichi |
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European journal of nuclear medicine and molecular imaging |
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European journal of nuclear medicine and molecular imaging |
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2015 |
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Okuda, Koichi Nakajima, Kenichi Sugino, Shuichi Kirihara, Yumiko Matsuo, Shinro Taki, Junichi Hashimoto, Mitsumasa Kinuya, Seigo |
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43 |
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Elektronische Aufsätze |
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Okuda, Koichi |
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10.1007/s00259-015-3173-8 |
title_sort |
development and validation of a direct-comparison method for cardiac 123i-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging |
title_auth |
Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging |
abstract |
Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. Moreover, $ WR_{4h} $ that was mathematically calculated using the estimated $ count_{4h} $ was comparable to the actual $ WR_{4h} $. © Springer-Verlag Berlin Heidelberg 2015 |
abstractGer |
Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. Moreover, $ WR_{4h} $ that was mathematically calculated using the estimated $ count_{4h} $ was comparable to the actual $ WR_{4h} $. © Springer-Verlag Berlin Heidelberg 2015 |
abstract_unstemmed |
Purpose The washout rate (WR) has been used in 123I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours ($ WR_{3h} $) with the WR at 4 hours ($ WR_{4h} $). Methods We hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar 123I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes ($ count_{early} $), 3 hours ($ count_{3h} $) and 4 hours ($ count_{4h} $) were measured. Cardiac $ count_{4h} $ was mathematically estimated using the linear regression model from $ count_{early} $ and $ count_{3h} $. Results In group 1, the actual cardiac $ count_{4h} $/$ count_{early} $ was highly significantly correlated with $ count_{3h} $/$ count_{early} $ (r = 0.979). In group 2, the average estimated $ count_{4h} $ was 92.8 ± 31.9, and there was no significant difference between this value and the actual $ count_{4h} $ (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of −0.9 with 95 % limits of agreement of −6.2 and +4.3. $ WR_{4h} $ calculated using the estimated cardiac $ count_{4h} $ was comparable to the actual $ WR_{4h} $ (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual $ WR_{4h} $. Conclusion The linear regression model that we used accurately estimated cardiac $ count_{4h} $ using $ count_{early} $ and $ count_{3h} $. Moreover, $ WR_{4h} $ that was mathematically calculated using the estimated $ count_{4h} $ was comparable to the actual $ WR_{4h} $. © Springer-Verlag Berlin Heidelberg 2015 |
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title_short |
Development and validation of a direct-comparison method for cardiac 123I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging |
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Nakajima, Kenichi Sugino, Shuichi Kirihara, Yumiko Matsuo, Shinro Taki, Junichi Hashimoto, Mitsumasa Kinuya, Seigo |
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|
score |
7.400546 |