Publication:
Improving PET Quantification of Small Animal [Ga-68]DOTA-Labeled PET/CT Studies by Using a CT-Based Positron Range Correction

dc.contributor.authorCal-Gonzalez, Jacobo
dc.contributor.authorVaquero, Juan Jose
dc.contributor.authorHerraiz, Joaquin L.
dc.contributor.authorPerez-Liva, Mailyn
dc.contributor.authorSoto-Montenegro, Maria Luisa
dc.contributor.authorPena-Zalbidea, Santiago
dc.contributor.authorDesco, Manuel
dc.contributor.authorUdias, Jose Manuel
dc.contributor.funderMinisterio de Ciencia e Innovación (España)
dc.contributor.funderMinisterio de Economía y Competitividad (España)
dc.contributor.funderFundación Alicia Koplowitz
dc.contributor.funderComunidad de Madrid (España)
dc.contributor.funderUnión Europea. Comisión Europea
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
dc.date.accessioned2018-11-05T11:58:19Z
dc.date.available2018-11-05T11:58:19Z
dc.date.issued2018
dc.description.abstractImage quality of positron emission tomography (PET) tracers that emits high-energy positrons, such as Ga-68, Rb-82, or I-124, is significantly affected by positron range (PR) effects. PR effects are especially important in small animal PET studies, since they can limit spatial resolution and quantitative accuracy of the images. Since generators accessibility has made Ga-68 tracers wide available, the aim of this study is to show how the quantitative results of [Ga-68]DOTA-labeled PET/X-ray computed tomography (CT) imaging of neuroendocrine tumors in mice can be improved using positron range correction (PRC). Eighteen scans in 12 mice were evaluated, with three different models of tumors: PC12, AR42J, and meningiomas. In addition, three different [Ga-68]DOTA-labeled radiotracers were used to evaluate the PRC with different tracer distributions: [Ga-68]DOTANOC, [Ga-68]DOTATOC, and [Ga-68]DOTATATE. Two PRC methods were evaluated: a tissue-dependent (TD-PRC) and a tissue-dependent spatially-variant correction (TDSV-PRC). Taking a region in the liver as reference, the tissue-to-liver ratio values for tumor tissue (TLRtumor), lung (TLRlung), and necrotic areas within the tumors (TLRnecrotic) and their respective relative variations (Delta TLR) were evaluated. All TLR values in the PRC images were significantly different (p < 0.05) than the ones from non-PRC images. The relative differences of the tumor TLR values, respect to the case with no PRC, were Delta TLRtumor 87 +/- 41 \% (TD-PRC) and 85 +/- 46 \% (TDSV-PRC). TLRlung decreased when applying PRC, being this effect more remarkable for the TDSV-PRC method, with relative differences respect to no PRC: Delta TLRlung = - 45 +/- 24 (TD-PRC), - 55 +/- 18 (TDSV-PRC). TLRnecrotic values also decreased when using PRC, with more noticeable differences for TD-PRC: Delta TLRnecrotic = - 52 +/- 6 (TD-PRC), - 48 +/- 8 (TDSV-PRC). The PRC methods proposed provide a significant quantitative improvement in [Ga-68]DOTA-labeled PET/CT imaging of mice with neuroendocrine tumors, hence demonstrating that these techniques could also ameliorate the deleterious effect of the positron range in clinical PET imaging.
dc.description.peerreviewed
dc.description.sponsorshipThis work was partially funded by the projects RTC-2015-3772-1, TEC2014-56600-R, and TEC2016-78052-R from the Spanish Ministry of Science and Innovation, Spanish Government, Spanish Ministry of Economy and Competitiveness grants (FIS PI11/00616, FIS PI14/00860, CP08/00017, and CPII14/00005) co-financed by European Regional Development Fund (ERDF), Alicia Koplowitz Foundation and TOPUS S2013/MIT-3024 project from the regional government of Madrid. The research leading to these results has received funding from the Innovative Medicines Initiative (www.imi.europa.eu) Joint Undertaking under grant agreement no 115337, resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies' in kind contribution. Part of the calculations were performed in the ``Cluster de Calculo de Alta Capacidad para Tecnicas Fisicas´´ funded by UCM and by UE under the FEDER programme.
dc.format.page584-593
dc.format.volume20
dc.identifierISI:000438457800008
dc.identifier.citationMol Imaging Biol. 2018; 20(4):584-593
dc.identifier.doi10.1007/s11307-018-1161-7
dc.identifier.e-issn1860-2002
dc.identifier.issn1536-1632
dc.identifier.journalMolecular Imaging and Biology
dc.identifier.pubmedID29352372
dc.identifier.urihttp://hdl.handle.net/20.500.12105/6569
dc.language.isoeng
dc.publisherSpringer
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/115337/EUes_ES
dc.relation.publisherversionhttps://doi.org/10.1007/s11307-018-1161-7
dc.repisalud.institucionCNIC
dc.repisalud.orgCNICCNIC::Unidades técnicas::Imagen Avanzada
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject[Ga-68]DOTA-labeled radiotracers
dc.subjectPositron range correction
dc.subjectSmall animal PET/CT
dc.subjectPET image reconstruction
dc.subjectEMISSION-TOMOGRAPHY
dc.subjectPRECLINICAL EVALUATION
dc.subjectMATHEMATICAL REMOVAL
dc.subjectSPATIAL-RESOLUTION
dc.subjectMAGNETIC-FIELD
dc.subjectSHINE-THROUGH
dc.subjectIMAGE-QUALITY
dc.subject3D PET
dc.subjectRECONSTRUCTION
dc.subjectSYSTEM
dc.titleImproving PET Quantification of Small Animal [Ga-68]DOTA-Labeled PET/CT Studies by Using a CT-Based Positron Range Correction
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication3d8c68c5-1cf7-41e7-bc20-a44a703ae994
relation.isAuthorOfPublication.latestForDiscovery3d8c68c5-1cf7-41e7-bc20-a44a703ae994

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