000896739 001__ 896739
000896739 005__ 20211018113108.0
000896739 0247_ $$2doi$$a10.3389/fonc.2021.554205
000896739 0247_ $$2Handle$$a2128/28676
000896739 0247_ $$2altmetric$$aaltmetric:113829670
000896739 0247_ $$2pmid$$a34621664
000896739 0247_ $$2WOS$$aWOS:000703466200001
000896739 037__ $$aFZJ-2021-03564
000896739 082__ $$a610
000896739 1001_ $$0P:(DE-Juel1)169114$$aLoução, Ricardo$$b0
000896739 245__ $$aA Fast Protocol for Multiparametric Characterisation of Diffusion in the Brain and Brain Tumours
000896739 260__ $$aLausanne$$bFrontiers Media$$c2021
000896739 3367_ $$2DRIVER$$aarticle
000896739 3367_ $$2DataCite$$aOutput Types/Journal article
000896739 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1632224929_6408
000896739 3367_ $$2BibTeX$$aARTICLE
000896739 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000896739 3367_ $$00$$2EndNote$$aJournal Article
000896739 520__ $$aMulti-parametric tissue characterisation is demonstrated using a 4-minute protocol based on diffusion trace acquisitions. Three diffusion regimes are covered simultaneously: pseudo-perfusion, Gaussian, and non-Gaussian diffusion. The clinical utility of this method for fast multi-parametric mapping for brain tumours is explored. A cohort of 17 brain tumour patients was measured on a 3T hybrid MR-PET scanner with a standard clinical MRI protocol, to which the proposed multi-parametric diffusion protocol was subsequently added. For comparison purposes, standard perfusion and a full diffusion kurtosis protocol were acquired. Simultaneous amino-acid (18F-FET) PET enabled the identification of active tumour tissue. The metrics derived from the proposed protocol included perfusion fraction, pseudo-diffusivity, apparent diffusivity, and apparent kurtosis. These metrics were compared to the corresponding metrics from the dedicated acquisitions: cerebral blood volume and flow, mean diffusivity and mean kurtosis. Simulations were carried out to assess the influence of fitting methods and noise levels on the estimation of the parameters. The diffusion and kurtosis metrics obtained from the proposed protocol show strong to very strong correlations with those derived from the conventional protocol. However, a bias towards lower values was observed. The pseudo-perfusion parameters showed very weak to weak correlations compared to their perfusion counterparts. In conclusion, we introduce a clinically applicable protocol for measuring multiple parameters and demonstrate its relevance to pathological tissue characterisation.
000896739 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000896739 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000896739 7001_ $$0P:(DE-Juel1)131782$$aOros-Peusquens, Ana-Maria$$b1$$eCorresponding author
000896739 7001_ $$0P:(DE-Juel1)131777$$aLangen, Karl-Josef$$b2
000896739 7001_ $$0P:(DE-HGF)0$$aFerreira, Hugo Alexandre$$b3
000896739 7001_ $$0P:(DE-Juel1)131794$$aShah, N. Jon$$b4
000896739 773__ $$0PERI:(DE-600)2649216-7$$a10.3389/fonc.2021.554205$$gVol. 11, p. 554205$$p554205$$tFrontiers in oncology$$v11$$x2234-943X$$y2021
000896739 8564_ $$uhttps://juser.fz-juelich.de/record/896739/files/fonc-11-554205.pdf$$yOpenAccess
000896739 909CO $$ooai:juser.fz-juelich.de:896739$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000896739 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169114$$aForschungszentrum Jülich$$b0$$kFZJ
000896739 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131782$$aForschungszentrum Jülich$$b1$$kFZJ
000896739 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131777$$aForschungszentrum Jülich$$b2$$kFZJ
000896739 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131794$$aForschungszentrum Jülich$$b4$$kFZJ
000896739 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000896739 9141_ $$y2021
000896739 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-27
000896739 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000896739 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bFRONT ONCOL : 2019$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000896739 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2021-01-27
000896739 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-01-27
000896739 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
000896739 9201_ $$0I:(DE-Juel1)INM-11-20170113$$kINM-11$$lJara-Institut Quantum Information$$x1
000896739 9201_ $$0I:(DE-Juel1)VDB1046$$kJARA-BRAIN$$lJülich-Aachen Research Alliance - Translational Brain Medicine$$x2
000896739 980__ $$ajournal
000896739 980__ $$aVDB
000896739 980__ $$aUNRESTRICTED
000896739 980__ $$aI:(DE-Juel1)INM-4-20090406
000896739 980__ $$aI:(DE-Juel1)INM-11-20170113
000896739 980__ $$aI:(DE-Juel1)VDB1046
000896739 9801_ $$aFullTexts