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Titel: Three-dimensional ultrashort echo time MRI and Short T2 images generated from subtraction for determination of tumor burden in lung cancer: Preclinical investigation in transgenic mice
VerfasserIn: Müller, Andreas
Jagoda, Philippe
Fries, Peter
Gräber, Stefan
Bals, Robert
Buecker, Arno
Jungnickel, Christopher
Beisswenger, Christoph
Sprache: Englisch
Titel: Magnetic Resonance in Medicine
Bandnummer: 79
Heft: 2
Seiten: 1052-1060
Verlag/Plattform: Wiley
Erscheinungsjahr: 2017
Freie Schlagwörter: lung cancer
preclinical
short T2 signal component
image subtraction
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Purpose: To investigate the potential of 3D ultrashort echo time MRI and short T2 images generated by subtraction for determination of total tumor burden in lung cancer. Methods: As an animal model of spontaneously developing non–small cell lung cancer, the K-rasLA1 transgenic mouse was used. Three-dimensional MR imaging was performed with radial k-space acquisition and echo times of 20 ms and 1 ms. For investigation of the short T2 component in the recorded signal, subtraction images were generated from these data sets and used for consensus identification of tumors. Next, manual segmentation was performed on all MR images by two independent investigators. MRI data were compared with the results from histologic investigations and among the investigators. Results: Tumor number and total tumor burden from imaging experiments correlated strongly with the results of histologic investigations. Intra- and interuser comparison showed highest correlations between the individual measurements for ultra-short TE MRI. Conclusions: Three-dimensional MRI protocols facilitate accurate tumor identification in mice harboring lung tumors. Ultrashort TE MRI is the superior imaging strategy when investigating lung tumors of miscellaneous size with 3D MR imaging strategies.
DOI der Erstveröffentlichung: 10.1002/mrm.26741
URL der Erstveröffentlichung: https://onlinelibrary.wiley.com/doi/10.1002/mrm.26741
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-366922
hdl:20.500.11880/33335
http://dx.doi.org/10.22028/D291-36692
ISSN: 0740-3194
Datum des Eintrags: 7-Jul-2022
Bezeichnung des in Beziehung stehenden Objekts: Supporting Information
In Beziehung stehendes Objekt: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fmrm.26741&file=mrm26741-sup-0001-suppinfo.pdf
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Innere Medizin
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
M - Radiologie
Professur: M - Prof. Dr. Robert Bals
M - Keiner Professur zugeordnet
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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