Please use this identifier to cite or link to this item: doi:10.22028/D291-36692
Volltext verfügbar? / Dokumentlieferung
Title: 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
Author(s): Müller, Andreas
Jagoda, Philippe
Fries, Peter
Gräber, Stefan
Bals, Robert
Buecker, Arno
Jungnickel, Christopher
Beisswenger, Christoph
Language: English
Title: Magnetic Resonance in Medicine
Volume: 79
Issue: 2
Pages: 1052-1060
Publisher/Platform: Wiley
Year of Publication: 2017
Free key words: lung cancer
preclinical
short T2 signal component
image subtraction
DDC notations: 610 Medicine and health
Publikation type: Journal Article
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 of the first publication: 10.1002/mrm.26741
URL of the first publication: https://onlinelibrary.wiley.com/doi/10.1002/mrm.26741
Link to this record: urn:nbn:de:bsz:291--ds-366922
hdl:20.500.11880/33335
http://dx.doi.org/10.22028/D291-36692
ISSN: 0740-3194
Date of registration: 7-Jul-2022
Description of the related object: Supporting Information
Related object: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fmrm.26741&file=mrm26741-sup-0001-suppinfo.pdf
Faculty: M - Medizinische Fakultät
Department: M - Innere Medizin
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
M - Radiologie
Professorship: M - Prof. Dr. Robert Bals
M - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
There are no files associated with this item.


Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.