Grabbe, Eckhardt

[["dc.bibliographiccitation.artnumber","e118"],["dc.bibliographiccitation.firstpage","1232"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","PLoS Genetics"],["dc.bibliographiccitation.lastpage","1243"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Dullin, Christian"],["dc.contributor.author","Missbach-Guentner, Jeannine"],["dc.contributor.author","Vogel, Wolfgang F."],["dc.contributor.author","Grabbe, Eckhardt"],["dc.contributor.author","Alves, Frauke"],["dc.date.accessioned","2018-11-07T11:01:18Z"],["dc.date.available","2018-11-07T11:01:18Z"],["dc.date.issued","2007"],["dc.description.abstract","Rapid progress in exploring the human and mouse genome has resulted in the generation of a multitude of mouse models to study gene functions in their biological context. However, effective screening methods that allow rapid noninvasive phenotyping of transgenic and knockout mice are still lacking. To identify murine models with bone alterations in vivo, we used flat-panel volume computed tomography (fpVCT) for high-resolution 3-D imaging and developed an algorithm with a computational intelligence system. First, we tested the accuracy and reliability of this approach by imaging discoidin domain receptor 2-(DDR2-) deficient mice, which display distinct skull abnormalities as shown by comparative landmark-based analysis. High-contrast fpVCT data of the skull with 200 mu m isotropic resolution and 8-s scan time allowed segmentation and computation of significant shape features as well as visualization of morphological differences. The application of a trained artificial neuronal network to these datasets permitted a semiautomatic and highly accurate phenotype classification of DDR2-deficient compared to C57BL/6 wild-type mice. Even heterozygous DDR2 mice with only subtle phenotypic alterations were correctly determined by fpVCT imaging and identified as a new class. In addition, we successfully applied the algorithm to classify knockout mice lacking the DDR1 gene with no apparent skull deformities. Thus, this new method seems to be a potential tool to identify novel mouse phenotypes with skull changes from transgenic and knockout mice on the basis of random mutagenesis as well as from genetic models. However for this purpose, new neuronal networks have to be created and trained. In summary, the combination of fpVCT images with artificial neuronal networks provides a reliable, novel method for rapid, cost-effective, and noninvasive primary screening tool to detect skeletal phenotypes in mice."],["dc.identifier.doi","10.1371/journal.pgen.0030118"],["dc.identifier.isi","000248350000010"],["dc.identifier.pmid","17658952"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8443"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/51120"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Public Library Science"],["dc.relation.issn","1553-7390"],["dc.rights","CC BY 2.5"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.5"],["dc.title","Semi-automatic classification of skeletal morphology in genetically altered mice using flat-panel volume computed tomography"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","663"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Neoplasia"],["dc.bibliographiccitation.lastpage","673"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Missbach-Guentner, Jeannine"],["dc.contributor.author","Dullin, Christian"],["dc.contributor.author","Kimmina, Sarah"],["dc.contributor.author","Zientkowska, Marta"],["dc.contributor.author","Domeyer-Missbach, Melanie"],["dc.contributor.author","Malz, Cordula"],["dc.contributor.author","Grabbe, Eckhardt"],["dc.contributor.author","Stühmer, Walter"],["dc.contributor.author","Alves, Frauke"],["dc.date.accessioned","2019-07-10T08:11:50Z"],["dc.date.available","2019-07-10T08:11:50Z"],["dc.date.issued","2008"],["dc.description.abstract","Noninvasive methods are strongly needed to detect and quantify not only tumor growth in murine tumor models but also the development of vascularization and necrosis within tumors. This study investigates the use of a new imaging technique, flat-panel detector volume computed tomography (fpVCT), to monitor in vivo tumor progression and structural changes within tumors of two murine carcinoma models. After tumor cell inoculation, single fpVCT scans of the entire mice were performed at different time points. The acquired isotropic, high-resolution volume data sets enable an accurate real-time assessment and precise measurements of tumor volumes. Spreading of contrast agent-containing blood vessels around and within the tumors was clearly visible over time. Furthermore, fpVCT permits the identification of differences in the uptake of contrast media within tumors, thus delineating necrosis, tumor tissues, and blood vessels. Classification of tumor tissues based on the decomposition of the underlying mixture distribution of tissue-related Hounsfield units allowed the quantitative acquisition of necrotic tissues at each time point. Morphologic alterations of the tumor depicted by fpVCT were confirmed by histopathologic examination. Concluding, our data show that fpVCT may be highly suitable for the noninvasive evaluation of tumor responses to anticancer therapies during the course of the disease."],["dc.identifier.doi","10.1593/neo.08270"],["dc.identifier.pii","S1476558608800048"],["dc.identifier.pmid","18592006"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11245"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60806"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/102991"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1476-5586"],["dc.relation.orgunit","Universitätsmedizin Göttingen"],["dc.rights","Goescholar"],["dc.title","Morphologic changes of mammary carcinomas in mice over time as monitored by flat-panel detector volume computed tomography."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","755"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Neoplasia (New York, N.Y.)"],["dc.bibliographiccitation.lastpage","765"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Missbach-Guentner, Jeannine"],["dc.contributor.author","Dullin, Christian"],["dc.contributor.author","Zientkowska, Marta"],["dc.contributor.author","Domeyer-Missbach, Melanie"],["dc.contributor.author","Kimmina, Sarah"],["dc.contributor.author","Obenauer, Silvia"],["dc.contributor.author","Kauer, Fritz"],["dc.contributor.author","Stühmer, Walter"],["dc.contributor.author","Grabbe, Eckhardt"],["dc.contributor.author","Vogel, Wolfgang F."],["dc.contributor.author","Alves, Frauke"],["dc.date.accessioned","2019-07-10T08:11:50Z"],["dc.date.available","2019-07-10T08:11:50Z"],["dc.date.issued","2007-09-01"],["dc.description.abstract","Skeletal metastasis is an important cause of mortality in patients with breast cancer. Hence, animal models, in combination with various imaging techniques, are in high demand for preclinical assessment of novel therapies. We evaluated the applicability of flat-panel volume computed tomography (fpVCT) to noninvasive detection of osteolytic bone metastases that develop in severe immunodeficient mice after intracardial injection of MDA-MB-231 breast cancer cells. A single fpVCT scan at 200-microm isotropic resolution was employed to detect osteolysis within the entire skeleton. Osteolytic lesions identified by fpVCT correlated with Faxitron X-ray analysis and were subsequently confirmed by histopathological examination. Isotropic three-dimensional image data sets obtained by fpVCT were the basis for the precise visualization of the extent of the lesion within the cortical bone and for the measurement of bone loss. Furthermore, fpVCT imaging allows continuous monitoring of growth kinetics for each metastatic site and visualization of lesions in more complex regions of the skeleton, such as the skull. Our findings suggest that fpVCT is a powerful tool that can be used to monitor the occurrence and progression of osteolytic lesions in vivo and can be further developed to monitor responses to antimetastatic therapies over the course of the disease."],["dc.identifier.pmid","17898871"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11246"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60807"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1476-5586"],["dc.relation.orgunit","Deutsches Primatenzentrum"],["dc.relation.orgunit","Universitätsmedizin Göttingen"],["dc.rights","Goescholar"],["dc.subject.mesh","Adenocarcinoma"],["dc.subject.mesh","Animals"],["dc.subject.mesh","Bone Neoplasms"],["dc.subject.mesh","Breast Neoplasms"],["dc.subject.mesh","Disease Progression"],["dc.subject.mesh","Female"],["dc.subject.mesh","Femoral Neoplasms"],["dc.subject.mesh","Humerus"],["dc.subject.mesh","Imaging, Three-Dimensional"],["dc.subject.mesh","Mice"],["dc.subject.mesh","Mice, SCID"],["dc.subject.mesh","Models, Animal"],["dc.subject.mesh","Osteolysis"],["dc.subject.mesh","Skull Neoplasms"],["dc.subject.mesh","Specific Pathogen-Free Organisms"],["dc.subject.mesh","Tibia"],["dc.subject.mesh","Tomography, X-Ray Computed"],["dc.subject.mesh","Tumor Burden"],["dc.title","Flat-panel detector-based volume computed tomography: a novel 3D imaging technique to monitor osteolytic bone lesions in a mouse tumor metastasis model."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Molecular Imaging"],["dc.bibliographiccitation.lastpage","14"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Dullin, Christian"],["dc.contributor.author","Zientkowska, Marta"],["dc.contributor.author","Napp, Joanna"],["dc.contributor.author","Missbach-Guentner, Jeannine"],["dc.contributor.author","Krell, Hans-Willi"],["dc.contributor.author","Mueller, Friedernann"],["dc.contributor.author","Grabbe, Eckhardt"],["dc.contributor.author","Tietze, Lutz Friedjan"],["dc.contributor.author","Alves, Frauke"],["dc.date.accessioned","2018-11-07T08:35:08Z"],["dc.date.available","2018-11-07T08:35:08Z"],["dc.date.issued","2009"],["dc.description.abstract","Connecting fluorescence signals with anatomic structures enhances our ability to monitor biologic processes in mice. Here, we present a semiautomated approach to correlate two-dimensional (2D) noninvasive near-infrared fluorescence (NIRF) imaging with three-dimensional (3D), high-resolution, flat-panel volume computed tomography (fpVCT). We developed an algorithm to colocalize fluorescence signals of NIRF-labeled antibodies directed against matriptase and urokinase plasminogen activator receptor (uPAR) to orthotopic carcinomas in mice visualized by fpVCT. For this purpose, mice were anesthetized and fixed on a multimodality animal bed containing fiducial markers filled with iodine-containing contrast agent and fluorescent dye. After intravenous administration of contrast agent and Cy5.5-labeled antibodies, NIRF and fpVCT images were obtained, without repositioning the mice. Binding of Cy5.5-labeled matriptase-specific antibody to pancreatic tumors and Cy5.5-labeled uPAR-specific antibody to mammary carcinomas was assessed by time-domain NIRF imaging measuring the location of fluorescence intensity and its lifetime. In summary, we developed a novel 2D-3D registration technique for image fusion with NIRF imaging and fpVCT to provide complementary information in tumor models on the in vivo association of functional information with anatomic structures. The combination of fpVCT with NIRF imaging will now allow targeted and effective monitoring of preclinical tumor therapies."],["dc.identifier.doi","10.2310/7290.2009.00001"],["dc.identifier.isi","000263883600001"],["dc.identifier.pmid","19344571"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/17988"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","B C Decker Inc"],["dc.relation.issn","1535-3508"],["dc.title","Semiautomatic Landmark-Based Two-Dimensional-Three-Dimensional Image Fusion in Living Mice: Correlation of Near-Infrared Fluorescence Imaging of Cy5.5-Labeled Antibodies with Flat-Panel Volume Computed Tomography"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","18"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Clinical Imaging"],["dc.bibliographiccitation.lastpage","22"],["dc.bibliographiccitation.volume","31"],["dc.contributor.author","Obenauer, Silvia"],["dc.contributor.author","Dullin, Christian"],["dc.contributor.author","Alves, Frauke"],["dc.contributor.author","Missbach-Guentner, Jeannine"],["dc.contributor.author","Grabbe, Eckhardt"],["dc.contributor.author","Heuser, Markus"],["dc.date.accessioned","2018-11-07T11:06:17Z"],["dc.date.available","2018-11-07T11:06:17Z"],["dc.date.issued","2007"],["dc.description.abstract","Objectives: The aim of this study was to compare the image performance of silicon-based flat-panel-detector-based volumetric computed tomography (fpVCT) to multislice spiral computed tomography (MSCT) for the visualization and detail delectability of skeletal structures in rodents of different development stages. Materials and Methods: Rodents of different development stages were imaged with fpVCT (GE prototype with circular gantry with two 1024 x 1024, 200-mu m pixel size, amorphous silicon/Cesium lodid (Csl) flat-panel detector) and eightslice MSCT (LightSpeed Ultra). Imaging parameters (80 kVp, 100 mA) and the position of the rodents were identical in both techniques. Image quality, detail delectability, and contour of skeletal structures were judged by two observers in consensus using a 4-point scale (1=unsatisfactory... 4=good). Findings were displayed and evaluated in axial slices, multiplanar reconstructions (MPR), maximum intensity projections (MIP) and volume rendering technique (VRT) in both modalities. Mean and standard of error of mean were calculated. Results: In axial slices, visualization and detail delectability of very subtle skeletal structures, e.g., the basis of the skull was better in fpVCT than in MSCT (4 vs. 2 points). The MPRs of fpVCT showed less artifacts and more details than those of the MSCT. The MIPs and VRTs of the fpVCT demonstrated best image quality in all rodents of different development stages, whereas MSCT showed significant artifacts. Conclusion: fpVCT outperformed MSCT in imaging of small rodents. Due to the truly isotropic volume data set with high spatial resolution, fpVCT is a powerful tool in evaluating detailed skeletal structures. (c) 2007 Elsevier Inc. All rights reserved."],["dc.identifier.doi","10.1016/j.clinimag.2006.09.029"],["dc.identifier.isi","000243468100004"],["dc.identifier.pmid","17189841"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/52269"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Inc"],["dc.relation.issn","0899-7071"],["dc.title","Flat-panel-detector-based volumetric CT: performance evaluation of imaging for skeletal structures of small animals in comparison to multislice CT"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]