000277456 001__ 277456
000277456 005__ 20240229155017.0
000277456 0247_ $$2doi$$a10.1523/JNEUROSCI.1470-22.2023
000277456 0247_ $$2pmid$$apmid:37429718
000277456 0247_ $$2ISSN$$a0270-6474
000277456 0247_ $$2ISSN$$a1529-2401
000277456 0247_ $$2altmetric$$aaltmetric:151315752
000277456 037__ $$aDKFZ-2023-01383
000277456 041__ $$aEnglish
000277456 082__ $$a610
000277456 1001_ $$0P:(DE-He78)b59c09a4d1c5975b931bf28aa652b88f$$aSchregel, Katharina$$b0$$eFirst author$$udkfz
000277456 245__ $$aA cellular ground truth to develop MRI signatures in glioma models by correlative light sheet microscopy and atlas-based co-registration.
000277456 260__ $$aWashington, DC$$bSoc.$$c2023
000277456 3367_ $$2DRIVER$$aarticle
000277456 3367_ $$2DataCite$$aOutput Types/Journal article
000277456 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1690550279_11046
000277456 3367_ $$2BibTeX$$aARTICLE
000277456 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000277456 3367_ $$00$$2EndNote$$aJournal Article
000277456 500__ $$a#EA:B320#LA:D170# / 2023 Jul 26;43(30):5574-5587
000277456 520__ $$aGlioblastoma is the most common malignant primary brain tumor with poor overall survival. Magnetic resonance imaging (MRI) is the main imaging modality for glioblastoma but has inherent shortcomings. The molecular and cellular basis of MR signals is incompletely understood. We established a ground-truth based image analysis platform to co-register MRI and light sheet microscopy (LSM) data to each other and to an anatomical reference atlas for quantification of 20 predefined anatomical subregions. Our pipeline also includes a segmentation and quantification approach for single myeloid cells in entire LSM datasets. This method was applied to three preclinical glioma models in male and female mice (GL261, U87MG and S24), which exhibit different key features of human glioma. Multiparametric MR data including T2-weighted sequences, diffusion tensor imaging, T2- and T2*-relaxometry were acquired. Following tissue clearing, LSM focused on the analysis of tumor cell density, microvasculature and innate immune cell infiltration. Correlated analysis revealed differences in quantitative MRI metrics between the tumor-bearing and the contralateral hemisphere. LSM identified tumor subregions that differed in their MRI characteristics, indicating tumor heterogeneity. Interestingly, MRI signatures, defined as unique combinations of different MRI parameters, differed greatly between the models. The direct correlation of MRI and LSM allows an in-depth characterization of preclinical glioma and can be used to decipher the structural, cellular and likely molecular basis of tumoral MRI biomarkers. Our approach may be applied in other preclinical brain tumor or neurological disease models and derived MRI signatures could ultimately inform image interpretation in a clinical setting.SIGNIFICANCE STATEMENT:We established a histological ground-truth based approach for MR image analyses and tested this method in three preclinical glioma models exhibiting different features of glioblastoma. Co-registration of light sheet microscopy to MRI allowed for an evaluation of quantitative MRI data in histologically distinct tumor subregions. Co-registration to a mouse brain atlas enabled a regional comparison of MRI-parameters with a histologically informed interpretation of the results. Our approach is transferable to other preclinical models of brain tumors and further neurological disorders. The method can be used to decipher the structural, cellular and molecular basis of MRI signal characteristics. Ultimately, information derived from such analyses could strengthen the neuroradiological evaluation of glioblastoma as they enhance the interpretation of MRI data.
000277456 536__ $$0G:(DE-HGF)POF4-314$$a314 - Immunologie und Krebs (POF4-314)$$cPOF4-314$$fPOF IV$$x0
000277456 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000277456 7001_ $$aHeinz, Lennart$$b1
000277456 7001_ $$0P:(DE-He78)c33010c383e10a4f2925c1abcad6a76a$$aHunger, Jessica$$b2$$udkfz
000277456 7001_ $$0P:(DE-He78)bdec1cf2918ea1865a3649dd96674030$$aPan, Chenchen$$b3$$udkfz
000277456 7001_ $$0P:(DE-HGF)0$$aBode, Julia$$b4
000277456 7001_ $$aFischer, Manuel$$b5
000277456 7001_ $$aSturm, Volker$$b6
000277456 7001_ $$0P:(DE-He78)cc84982886796806e5def16a9fa227a1$$aVenkataramani, Varun$$b7$$udkfz
000277456 7001_ $$0P:(DE-HGF)0$$aKarimian-Jazi, Kianush$$b8
000277456 7001_ $$0P:(DE-He78)661f199a31f6d53b12f3c348103dc4e4$$aAgardy, Dennis Alexander$$b9$$udkfz
000277456 7001_ $$aStreibel, Yannik$$b10
000277456 7001_ $$aZerelles, Roland$$b11
000277456 7001_ $$0P:(DE-He78)92e9783ca7025f36ce14e12cd348d2ee$$aWick, Wolfgang$$b12$$udkfz
000277456 7001_ $$00000-0002-2796-3451$$aHeiland, Sabine$$b13
000277456 7001_ $$0P:(DE-He78)e681100c540b628a2bdbd48772b4fb50$$aBunse, Theresa$$b14$$udkfz
000277456 7001_ $$0P:(DE-He78)a33ae52a1d80b847405db3ab83b9e90d$$aTews, Björn$$b15
000277456 7001_ $$0P:(DE-He78)5ef8651b0f857b9c640aa5b1498c43b5$$aPlatten, Michael$$b16$$udkfz
000277456 7001_ $$0P:(DE-He78)6c294453ee36ad59deddc5494fa6aa4b$$aWinkler, Frank$$b17$$udkfz
000277456 7001_ $$00000-0002-9094-6769$$aBendszus, Martin$$b18
000277456 7001_ $$0P:(DE-He78)5ba5b48bd126214d9cb66291fa4ae303$$aBreckwoldt, Michael$$b19$$eLast author$$udkfz
000277456 773__ $$0PERI:(DE-600)1475274-8$$a10.1523/JNEUROSCI.1470-22.2023$$gp. JN-RM-1470-22 -$$n30$$p5574-5587$$tThe journal of neuroscience$$v43$$x0270-6474$$y2023
000277456 909CO $$ooai:inrepo02.dkfz.de:277456$$pVDB
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)b59c09a4d1c5975b931bf28aa652b88f$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)c33010c383e10a4f2925c1abcad6a76a$$aDeutsches Krebsforschungszentrum$$b2$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)bdec1cf2918ea1865a3649dd96674030$$aDeutsches Krebsforschungszentrum$$b3$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)cc84982886796806e5def16a9fa227a1$$aDeutsches Krebsforschungszentrum$$b7$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b8$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)661f199a31f6d53b12f3c348103dc4e4$$aDeutsches Krebsforschungszentrum$$b9$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)92e9783ca7025f36ce14e12cd348d2ee$$aDeutsches Krebsforschungszentrum$$b12$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)e681100c540b628a2bdbd48772b4fb50$$aDeutsches Krebsforschungszentrum$$b14$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)a33ae52a1d80b847405db3ab83b9e90d$$aDeutsches Krebsforschungszentrum$$b15$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)5ef8651b0f857b9c640aa5b1498c43b5$$aDeutsches Krebsforschungszentrum$$b16$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)6c294453ee36ad59deddc5494fa6aa4b$$aDeutsches Krebsforschungszentrum$$b17$$kDKFZ
000277456 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)5ba5b48bd126214d9cb66291fa4ae303$$aDeutsches Krebsforschungszentrum$$b19$$kDKFZ
000277456 9131_ $$0G:(DE-HGF)POF4-314$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vImmunologie und Krebs$$x0
000277456 9141_ $$y2023
000277456 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2022-11-13
000277456 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2022-11-13
000277456 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2022-11-13
000277456 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ NEUROSCI : 2022$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-10-21
000277456 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bJ NEUROSCI : 2022$$d2023-10-21
000277456 9202_ $$0I:(DE-He78)D170-20160331$$kD170$$lKKE Neuroimmunologie und Hirntumorimmunologie$$x0
000277456 9201_ $$0I:(DE-He78)B320-20160331$$kB320$$lKKE Neuroonkologie$$x0
000277456 9201_ $$0I:(DE-He78)D170-20160331$$kD170$$lKKE Neuroimmunologie und Hirntumorimmunologie$$x1
000277456 9201_ $$0I:(DE-He78)V077-20160331$$kV077$$lAG Molekulare Mechanismen der Tumorzell-Invasion$$x2
000277456 9200_ $$0I:(DE-He78)B320-20160331$$kB320$$lKKE Neuroonkologie$$x0
000277456 980__ $$ajournal
000277456 980__ $$aVDB
000277456 980__ $$aI:(DE-He78)B320-20160331
000277456 980__ $$aI:(DE-He78)D170-20160331
000277456 980__ $$aI:(DE-He78)V077-20160331
000277456 980__ $$aUNRESTRICTED