[123I]FP-CIT ENC-DAT normal database: the impact of the reconstruction and quantification methods
Background [ 123 I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of DaTSCAN (ENC-DAT) of healthy controls has provided age and gender-specific reference values for the [ 123 I]FP-CIT specific binding ratio (SBR...
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Published in | EJNMMI physics Vol. 4; no. 1; pp. 8 - 16 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
28.01.2017
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 2197-7364 2197-7364 |
DOI | 10.1186/s40658-017-0175-6 |
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Abstract | Background
[
123
I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of DaTSCAN (ENC-DAT) of healthy controls has provided age and gender-specific reference values for the [
123
I]FP-CIT specific binding ratio (SBR) under optimised protocols for image acquisition and processing. Simpler reconstruction methods, however, are in use in many hospitals, often without implementation of attenuation and scatter corrections. This study investigates the impact on the reference values of simpler approaches using two quantifications methods, BRASS and Southampton, and explores the performance of the striatal phantom calibration in their harmonisation.
Results
BRASS and Southampton databases comprising 123 ENC-DAT subjects, from gamma cameras with parallel collimators, were reconstructed using filtered back projection (FBP) and iterative reconstruction OSEM without corrections (IRNC) and compared against the recommended OSEM with corrections for attenuation and scatter and septal penetration (ACSC), before and after applying phantom calibration. Differences between databases were quantified using the percentage difference of their SBR in the dopamine transporter-rich striatum, with their significance determined by the paired t test with Bonferroni correction.
Attenuation and scatter losses, measured from the percentage difference between IRNC and ACSC databases, were of the order of 47% for both BRASS and Southampton quantifications. Phantom corrections were able to recover most of these losses, but the SBRs remained significantly lower than the “true” values (
p
< 0.001). Calibration provided, in fact, “first order” camera-dependent corrections, but could not include “second order” subject-dependent effects, such as septal penetration from extra-cranial activity. As for the ACSC databases, phantom calibration was instrumental in compensating for partial volume losses in BRASS (~67%,
p
< 0.001), while for the Southampton method, inherently free from them, it brought no significant changes and solely corrected for residual inter-camera variability (−0.2%,
p
= 0.44).
Conclusions
The ENC-DAT reference values are significantly dependent on the reconstruction and quantification methods and phantom calibration, while reducing the major part of their differences, is unable to fully harmonize them. Clinical use of any normal database, therefore, requires consistency with the processing methodology. Caution must be exercised when comparing data from different centres, recognising that the SBR may represent an “index” rather than a “true” value. |
---|---|
AbstractList | [
I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of DaTSCAN (ENC-DAT) of healthy controls has provided age and gender-specific reference values for the [
I]FP-CIT specific binding ratio (SBR) under optimised protocols for image acquisition and processing. Simpler reconstruction methods, however, are in use in many hospitals, often without implementation of attenuation and scatter corrections. This study investigates the impact on the reference values of simpler approaches using two quantifications methods, BRASS and Southampton, and explores the performance of the striatal phantom calibration in their harmonisation.
BRASS and Southampton databases comprising 123 ENC-DAT subjects, from gamma cameras with parallel collimators, were reconstructed using filtered back projection (FBP) and iterative reconstruction OSEM without corrections (IRNC) and compared against the recommended OSEM with corrections for attenuation and scatter and septal penetration (ACSC), before and after applying phantom calibration. Differences between databases were quantified using the percentage difference of their SBR in the dopamine transporter-rich striatum, with their significance determined by the paired t test with Bonferroni correction. Attenuation and scatter losses, measured from the percentage difference between IRNC and ACSC databases, were of the order of 47% for both BRASS and Southampton quantifications. Phantom corrections were able to recover most of these losses, but the SBRs remained significantly lower than the "true" values (p < 0.001). Calibration provided, in fact, "first order" camera-dependent corrections, but could not include "second order" subject-dependent effects, such as septal penetration from extra-cranial activity. As for the ACSC databases, phantom calibration was instrumental in compensating for partial volume losses in BRASS (~67%, p < 0.001), while for the Southampton method, inherently free from them, it brought no significant changes and solely corrected for residual inter-camera variability (-0.2%, p = 0.44).
The ENC-DAT reference values are significantly dependent on the reconstruction and quantification methods and phantom calibration, while reducing the major part of their differences, is unable to fully harmonize them. Clinical use of any normal database, therefore, requires consistency with the processing methodology. Caution must be exercised when comparing data from different centres, recognising that the SBR may represent an "index" rather than a "true" value. [123I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of DaTSCAN (ENC-DAT) of healthy controls has provided age and gender-specific reference values for the [123I]FP-CIT specific binding ratio (SBR) under optimised protocols for image acquisition and processing. Simpler reconstruction methods, however, are in use in many hospitals, often without implementation of attenuation and scatter corrections. This study investigates the impact on the reference values of simpler approaches using two quantifications methods, BRASS and Southampton, and explores the performance of the striatal phantom calibration in their harmonisation. BRASS and Southampton databases comprising 123 ENC-DAT subjects, from gamma cameras with parallel collimators, were reconstructed using filtered back projection (FBP) and iterative reconstruction OSEM without corrections (IRNC) and compared against the recommended OSEM with corrections for attenuation and scatter and septal penetration (ACSC), before and after applying phantom calibration. Differences between databases were quantified using the percentage difference of their SBR in the dopamine transporter-rich striatum, with their significance determined by the paired t test with Bonferroni correction. Attenuation and scatter losses, measured from the percentage difference between IRNC and ACSC databases, were of the order of 47% for both BRASS and Southampton quantifications. Phantom corrections were able to recover most of these losses, but the SBRs remained significantly lower than the “true” values (p < 0.001). Calibration provided, in fact, “first order” camera-dependent corrections, but could not include “second order” subject-dependent effects, such as septal penetration from extra-cranial activity. As for the ACSC databases, phantom calibration was instrumental in compensating for partial volume losses in BRASS (~67%, p < 0.001), while for the Southampton method, inherently free from them, it brought no significant changes and solely corrected for residual inter-camera variability (−0.2%, p = 0.44). The ENC-DAT reference values are significantly dependent on the reconstruction and quantification methods and phantom calibration, while reducing the major part of their differences, is unable to fully harmonize them. Clinical use of any normal database, therefore, requires consistency with the processing methodology. Caution must be exercised when comparing data from different centres, recognising that the SBR may represent an “index” rather than a “true” value. [ super(123)I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of DaTSCAN (ENC-DAT) of healthy controls has provided age and gender-specific reference values for the [ super(123)I]FP-CIT specific binding ratio (SBR) under optimised protocols for image acquisition and processing. Simpler reconstruction methods, however, are in use in many hospitals, often without implementation of attenuation and scatter corrections. This study investigates the impact on the reference values of simpler approaches using two quantifications methods, BRASS and Southampton, and explores the performance of the striatal phantom calibration in their harmonisation. BRASS and Southampton databases comprising 123 ENC-DAT subjects, from gamma cameras with parallel collimators, were reconstructed using filtered back projection (FBP) and iterative reconstruction OSEM without corrections (IRNC) and compared against the recommended OSEM with corrections for attenuation and scatter and septal penetration (ACSC), before and after applying phantom calibration. Differences between databases were quantified using the percentage difference of their SBR in the dopamine transporter-rich striatum, with their significance determined by the paired t test with Bonferroni correction. Attenuation and scatter losses, measured from the percentage difference between IRNC and ACSC databases, were of the order of 47% for both BRASS and Southampton quantifications. Phantom corrections were able to recover most of these losses, but the SBRs remained significantly lower than the "true" values (p < 0.001). Calibration provided, in fact, "first order" camera-dependent corrections, but could not include "second order" subject-dependent effects, such as septal penetration from extra-cranial activity. As for the ACSC databases, phantom calibration was instrumental in compensating for partial volume losses in BRASS (~67%, p < 0.001), while for the Southampton method, inherently free from them, it brought no significant changes and solely corrected for residual inter-camera variability (-0.2%, p = 0.44). The ENC-DAT reference values are significantly dependent on the reconstruction and quantification methods and phantom calibration, while reducing the major part of their differences, is unable to fully harmonize them. Clinical use of any normal database, therefore, requires consistency with the processing methodology. Caution must be exercised when comparing data from different centres, recognising that the SBR may represent an "index" rather than a "true" value. Background [ 123 I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of DaTSCAN (ENC-DAT) of healthy controls has provided age and gender-specific reference values for the [ 123 I]FP-CIT specific binding ratio (SBR) under optimised protocols for image acquisition and processing. Simpler reconstruction methods, however, are in use in many hospitals, often without implementation of attenuation and scatter corrections. This study investigates the impact on the reference values of simpler approaches using two quantifications methods, BRASS and Southampton, and explores the performance of the striatal phantom calibration in their harmonisation. Results BRASS and Southampton databases comprising 123 ENC-DAT subjects, from gamma cameras with parallel collimators, were reconstructed using filtered back projection (FBP) and iterative reconstruction OSEM without corrections (IRNC) and compared against the recommended OSEM with corrections for attenuation and scatter and septal penetration (ACSC), before and after applying phantom calibration. Differences between databases were quantified using the percentage difference of their SBR in the dopamine transporter-rich striatum, with their significance determined by the paired t test with Bonferroni correction. Attenuation and scatter losses, measured from the percentage difference between IRNC and ACSC databases, were of the order of 47% for both BRASS and Southampton quantifications. Phantom corrections were able to recover most of these losses, but the SBRs remained significantly lower than the “true” values ( p < 0.001). Calibration provided, in fact, “first order” camera-dependent corrections, but could not include “second order” subject-dependent effects, such as septal penetration from extra-cranial activity. As for the ACSC databases, phantom calibration was instrumental in compensating for partial volume losses in BRASS (~67%, p < 0.001), while for the Southampton method, inherently free from them, it brought no significant changes and solely corrected for residual inter-camera variability (−0.2%, p = 0.44). Conclusions The ENC-DAT reference values are significantly dependent on the reconstruction and quantification methods and phantom calibration, while reducing the major part of their differences, is unable to fully harmonize them. Clinical use of any normal database, therefore, requires consistency with the processing methodology. Caution must be exercised when comparing data from different centres, recognising that the SBR may represent an “index” rather than a “true” value. |
ArticleNumber | 8 |
Author | Koole, Michel Sera, Terez Asenbaun-Nan, Susanne Tatsch, Klaus Varrone, Andrea Booij, Jan Borght, Thierry Vander de Nijs, Robin Hesse, Swen Dickson, John C. Akdemir, Umit O. Tossici-Bolt, Livia Bagnara, Maria C. Koulibaly, Pierre M. Jonsson, Cathrine |
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Cites_doi | 10.1007/s00259-016-3309-5 10.1007/s00259-012-2276-8 10.1097/MNM.0b013e328364a9fd 10.1007/s00259-011-1801-5 10.4103/0971-6203.71765 10.1007/s12149-013-0789-2 10.2967/jnmt.112.108555 10.1007/s00259-009-1212-z 10.1088/0031-9155/52/15/004 10.1088/0031-9155/49/14/N03 10.1007/s00259-006-0155-x 10.1186/2191-219X-2-45 10.1007/s002590050190 10.1007/s00259-005-0003-4 10.1186/s13550-016-0253-0 |
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Keywords | Reconstruction Quantification I FP-CIT Calibration Specific binding ratio SPECT 123I |
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References | Fleming, Bolt, Stratford, Kemp (CR7) 2004; 49 Seret, Nguyen, Bernard (CR12) 2012; 2 Tanaka, Uehara, Kojima, Matsumoto (CR11) 2007; 52 Hutton, Buvat, Beekman (CR18) 2011; 56 Tossici-Bolt, Hoffmann, Kemp, Mehta, Fleming (CR5) 2006; 33 CR8 Booij, Busemann Sokole, Stabin, Janssen, de Bruin, van Royen (CR9) 1998; 25 Koch, Bartenstein, la Fougère (CR20) 2013; 34 Koch, Bartenstein, la Fougère (CR21) 2014; 28 Dickson, Tossici-Bolt, Sera, Erlandsson, Varrone, Tatsch, Hutton (CR2) 2010; 37 lida, Narita, Kado, Kashikura, Sugawara, Shoji (CR17) 1998; 39 Tossici-Bolt, Dickson, Sera, de Nijs, Bagnara, Jonsson (CR3) 2011; 38 Rousset, Ma, Evans (CR16) 1998; 39 de Nijs, Holm, Thomsen, Ziebell, Svarer (CR10) 2010; 35 Buchert, Kluge, Tossici-Bolt, Dickson, Bronzel, Lange (CR13) 2016; 43 Hudson, Larkin (CR6) 1994; 20 Larsson, Mo, Riklund (CR19) 2012; 40 Koch, Radau, Hamann, Tatsch (CR4) 2005; 46 Soret, Koulibay, Darcourt, Hapdey, Buvat (CR14) 2003; 44 Soret, Koulibay, Darcourt, Buvat (CR15) 2006; 33 Varrone, Dickson, Tossici-Bolt, Sera, Asenbaum, Booij (CR1) 2013; 40 J Booij (175_CR9) 1998; 25 H lida (175_CR17) 1998; 39 HM Hudson (175_CR6) 1994; 20 W Koch (175_CR4) 2005; 46 W Koch (175_CR20) 2013; 34 JS Fleming (175_CR7) 2004; 49 L Tossici-Bolt (175_CR5) 2006; 33 M Soret (175_CR14) 2003; 44 A Larsson (175_CR19) 2012; 40 JC Dickson (175_CR2) 2010; 37 M Tanaka (175_CR11) 2007; 52 R Nijs de (175_CR10) 2010; 35 A Seret (175_CR12) 2012; 2 R Buchert (175_CR13) 2016; 43 W Koch (175_CR21) 2014; 28 L Tossici-Bolt (175_CR3) 2011; 38 OG Rousset (175_CR16) 1998; 39 BF Hutton (175_CR18) 2011; 56 A Varrone (175_CR1) 2013; 40 175_CR8 M Soret (175_CR15) 2006; 33 9443759 - J Nucl Med. 1998 Jan;39(1):181-9 19618181 - Eur J Nucl Med Mol Imaging. 2010 Jan;37(1):23-35 21468761 - Eur J Nucl Med Mol Imaging. 2011 Aug;38(8):1529-40 23160999 - Eur J Nucl Med Mol Imaging. 2013 Jan;40(2):213-27 24254430 - Ann Nucl Med. 2014 Feb;28(2):103-11 21701055 - Phys Med Biol. 2011 Jul 21;56(14):R85-112 17634641 - Phys Med Biol. 2007 Aug 7;52(15):4409-25 16639610 - Eur J Nucl Med Mol Imaging. 2006 Sep;33(9):1062-72 23884235 - Nucl Med Commun. 2013 Oct;34(10 ):971-7 28120177 - EJNMMI Res. 2017 Dec;7(1):10 15357202 - Phys Med Biol. 2004 Jul 21;49(14 ):N227-34 16858570 - Eur J Nucl Med Mol Imaging. 2006 Dec;33(12 ):1491-9 22925467 - EJNMMI Res. 2012 Aug 27;2(1):45 21170186 - J Med Phys. 2010 Oct;35(4):215-22 16000279 - J Nucl Med. 2005 Jul;46(7):1109-18 18218538 - IEEE Trans Med Imaging. 1994;13(4):601-9 12843235 - J Nucl Med. 2003 Jul;44(7):1184-93 26816194 - Eur J Nucl Med Mol Imaging. 2016 Jul;43(7):1323-36 9396871 - Eur J Nucl Med. 1998 Jan;25(1):24-30 23048208 - J Nucl Med Technol. 2012 Dec;40(4):249-54 9591599 - J Nucl Med. 1998 May;39(5):904-11 |
References_xml | – volume: 43 start-page: 1323 year: 2016 end-page: 36 ident: CR13 article-title: Reduction in camera-specific variability in [123I]FP-CIT SPECT outcome measures by image reconstruction optimized for multisite settings: impact on age-dependence of the specific binding ratio in the ENC-DAT database of healthy controls publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-016-3309-5 – volume: 44 start-page: 1184 year: 2003 end-page: 93 ident: CR14 article-title: Quantitative Accuracy of Dopaminergic Neurotransmission Imaging with 123I SPECT publication-title: J Nucl Med – volume: 40 start-page: 213 year: 2013 end-page: 27 ident: CR1 article-title: European multicentre database of healthy controls for [123I]FP-CIT SPECT (ENC-DAT): age-related effects, gender differences and evaluation of different methods of analysis publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-012-2276-8 – volume: 34 start-page: 971 year: 2013 end-page: 7 ident: CR20 article-title: 3D-OSEM and FP-CIT SPECT quantification: benefit for studies with a high radius of rotation publication-title: Nucl Med Commun doi: 10.1097/MNM.0b013e328364a9fd – volume: 38 start-page: 1529 year: 2011 end-page: 40 ident: CR3 article-title: Calibration of gamma camera systems for a multicentre European I-FP-CIT SPECT normal database publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-011-1801-5 – volume: 35 start-page: 215 issue: 4 year: 2010 end-page: 22 ident: CR10 article-title: Experimental determination of the weighting factor for the energy window subtraction-based downscatter correction for I-123 in brain SPECT studies publication-title: J Med Phys doi: 10.4103/0971-6203.71765 – volume: 28 start-page: 103 year: 2014 end-page: 11 ident: CR21 article-title: Radius dependence of FP-CIT quantification: a Monte Carlo-based simulation study publication-title: Ann Nuc Med doi: 10.1007/s12149-013-0789-2 – volume: 40 start-page: 249 year: 2012 end-page: 54 ident: CR19 article-title: Rotation radius dependence of 123I-FP-CIT and 123IIBZMSPECT uptake ratios: a Monte Carlo study publication-title: J Nucl Med Technol doi: 10.2967/jnmt.112.108555 – volume: 20 start-page: 100 year: 1994 end-page: 8 ident: CR6 article-title: Accelerated Image reconstruction using Ordered Subsets of Projection Data publication-title: IEEE Trans Med Im – volume: 37 start-page: 23 year: 2010 end-page: 35 ident: CR2 article-title: The impact of reconstruction method on the quantification of DaTSCAN images publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-009-1212-z – volume: 52 start-page: 4409 year: 2007 end-page: 25 ident: CR11 article-title: Monte Carlo simulation of energy spectra for (123)I imaging publication-title: Phys Med Biol doi: 10.1088/0031-9155/52/15/004 – volume: 49 start-page: N227 year: 2004 end-page: 34 ident: CR7 article-title: The specific uptake size index for quantifying radiopharmaceutical uptake publication-title: Phys Med Biol doi: 10.1088/0031-9155/49/14/N03 – volume: 33 start-page: 1491 year: 2006 end-page: 9 ident: CR5 article-title: Quantification of [(123)I]FP-CIT SPECT brain images: an accurate technique for measurement of the specific binding ratio publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-006-0155-x – volume: 39 start-page: 181 year: 1998 end-page: 9 ident: CR17 article-title: Effects of Scatter and Attenuation Correction on Quantitative Assessment of Regional Cerebral Blood Flow with SPECT publication-title: J Nuc Med – volume: 39 start-page: 904 year: 1998 end-page: 11 ident: CR16 article-title: Correction for partial volume effects in PET: principle and validation publication-title: J Nucl Med – volume: 56 start-page: R85 year: 2011 end-page: 112 ident: CR18 article-title: Review and current status of SPECT scatter correction. Phys. Med publication-title: Biol – ident: CR8 – volume: 2 start-page: 45 year: 2012 ident: CR12 article-title: Quantitative capabilities of four state-of-the-art SPECT-CT cameras publication-title: EJNMMI Res doi: 10.1186/2191-219X-2-45 – volume: 25 start-page: 24 year: 1998 end-page: 30 ident: CR9 article-title: Human biodistribution and dosimetry of [123I]FP-CIT: a potent radioligand for imaging of dopamine transporters publication-title: Eur J Nucl Med doi: 10.1007/s002590050190 – volume: 33 start-page: 1062 year: 2006 end-page: 72 ident: CR15 article-title: Partial volume effect correction in SPECT for striatal uptake measurements in patients with neurodegenerative diseases: impact upon patient classification publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-005-0003-4 – volume: 46 start-page: 1109 year: 2005 end-page: 18 ident: CR4 article-title: Clinical Testing of an Optimized Software Solution for an Automated, Observer Independent Evaluation of Dopamine Transporter SPECT Studies publication-title: J Nucl Med – volume: 35 start-page: 215 issue: 4 year: 2010 ident: 175_CR10 publication-title: J Med Phys doi: 10.4103/0971-6203.71765 – volume: 56 start-page: R85 year: 2011 ident: 175_CR18 publication-title: Biol – volume: 2 start-page: 45 year: 2012 ident: 175_CR12 publication-title: EJNMMI Res doi: 10.1186/2191-219X-2-45 – volume: 52 start-page: 4409 year: 2007 ident: 175_CR11 publication-title: Phys Med Biol doi: 10.1088/0031-9155/52/15/004 – volume: 33 start-page: 1062 year: 2006 ident: 175_CR15 publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-005-0003-4 – volume: 46 start-page: 1109 year: 2005 ident: 175_CR4 publication-title: J Nucl Med – volume: 25 start-page: 24 year: 1998 ident: 175_CR9 publication-title: Eur J Nucl Med doi: 10.1007/s002590050190 – volume: 33 start-page: 1491 year: 2006 ident: 175_CR5 publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-006-0155-x – volume: 40 start-page: 213 year: 2013 ident: 175_CR1 publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-012-2276-8 – volume: 38 start-page: 1529 year: 2011 ident: 175_CR3 publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-011-1801-5 – volume: 34 start-page: 971 year: 2013 ident: 175_CR20 publication-title: Nucl Med Commun doi: 10.1097/MNM.0b013e328364a9fd – volume: 37 start-page: 23 year: 2010 ident: 175_CR2 publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-009-1212-z – volume: 28 start-page: 103 year: 2014 ident: 175_CR21 publication-title: Ann Nuc Med doi: 10.1007/s12149-013-0789-2 – volume: 39 start-page: 181 year: 1998 ident: 175_CR17 publication-title: J Nuc Med – volume: 49 start-page: N227 year: 2004 ident: 175_CR7 publication-title: Phys Med Biol doi: 10.1088/0031-9155/49/14/N03 – ident: 175_CR8 doi: 10.1186/s13550-016-0253-0 – volume: 43 start-page: 1323 year: 2016 ident: 175_CR13 publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-016-3309-5 – volume: 40 start-page: 249 year: 2012 ident: 175_CR19 publication-title: J Nucl Med Technol doi: 10.2967/jnmt.112.108555 – volume: 44 start-page: 1184 year: 2003 ident: 175_CR14 publication-title: J Nucl Med – volume: 39 start-page: 904 year: 1998 ident: 175_CR16 publication-title: J Nucl Med – volume: 20 start-page: 100 year: 1994 ident: 175_CR6 publication-title: IEEE Trans Med Im – reference: 21170186 - J Med Phys. 2010 Oct;35(4):215-22 – reference: 18218538 - IEEE Trans Med Imaging. 1994;13(4):601-9 – reference: 23160999 - Eur J Nucl Med Mol Imaging. 2013 Jan;40(2):213-27 – reference: 22925467 - EJNMMI Res. 2012 Aug 27;2(1):45 – reference: 28120177 - EJNMMI Res. 2017 Dec;7(1):10 – reference: 23048208 - J Nucl Med Technol. 2012 Dec;40(4):249-54 – reference: 17634641 - Phys Med Biol. 2007 Aug 7;52(15):4409-25 – reference: 21468761 - Eur J Nucl Med Mol Imaging. 2011 Aug;38(8):1529-40 – reference: 9443759 - J Nucl Med. 1998 Jan;39(1):181-9 – reference: 23884235 - Nucl Med Commun. 2013 Oct;34(10 ):971-7 – reference: 15357202 - Phys Med Biol. 2004 Jul 21;49(14 ):N227-34 – reference: 9591599 - J Nucl Med. 1998 May;39(5):904-11 – reference: 16639610 - Eur J Nucl Med Mol Imaging. 2006 Sep;33(9):1062-72 – reference: 19618181 - Eur J Nucl Med Mol Imaging. 2010 Jan;37(1):23-35 – reference: 12843235 - J Nucl Med. 2003 Jul;44(7):1184-93 – reference: 9396871 - Eur J Nucl Med. 1998 Jan;25(1):24-30 – reference: 16000279 - J Nucl Med. 2005 Jul;46(7):1109-18 – reference: 21701055 - Phys Med Biol. 2011 Jul 21;56(14):R85-112 – reference: 24254430 - Ann Nucl Med. 2014 Feb;28(2):103-11 – reference: 16858570 - Eur J Nucl Med Mol Imaging. 2006 Dec;33(12 ):1491-9 – reference: 26816194 - Eur J Nucl Med Mol Imaging. 2016 Jul;43(7):1323-36 |
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[
123
I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of... [ I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of DaTSCAN... [123I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of DaTSCAN... [ super(123)I]FP-CIT is a well-established radiotracer for the diagnosis of dopaminergic degenerative disorders. The European Normal Control Database of... |
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SubjectTerms | Applied and Technical Physics Attenuation Calibration Collimation Collimators Computational Mathematics and Numerical Analysis Dopamine Engineering Image acquisition Image reconstruction Imaging Medicine Medicine & Public Health Nuclear Medicine Original Research Penetration Radiology Scattering |
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Title | [123I]FP-CIT ENC-DAT normal database: the impact of the reconstruction and quantification methods |
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