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Three‐dimensional ultrashort echo time MRI and Short T 2 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
Publication year - 2018
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26741
Subject(s) - lung cancer , genetically modified mouse , subtraction , echo (communications protocol) , background subtraction , image subtraction , medicine , nuclear magnetic resonance , pathology , nuclear medicine , transgene , physics , biology , image processing , computer science , artificial intelligence , optics , image (mathematics) , gene , binary image , arithmetic , mathematics , computer network , biochemistry , pixel
Purpose To investigate the potential of 3D ultrashort echo time MRI and short T 2 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 µs and 1 ms. For investigation of the short T 2 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. Magn Reson Med 79:1052–1060, 2018. © 2017 International Society for Magnetic Resonance in Medicine.