| Measurement of MR signal and T2* in lung to characterize a tight skin mouse model of emphysema using single-point imaging. | |
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MedLine Citation:
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PMID: 17279537 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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PURPOSE: To evaluate whether MRI signal and T2* measurements of lung tissue acquired at ultrashort detection times (tds) can detect emphysematous changes in lungs. MATERIALS AND METHODS: MR signal intensity of in vivo mouse lungs was measured at 4.7 T at tds of 0.2 and 0.4 msec using single-point imaging (SPI). T2* was calculated from the measurements obtained at the two tds. Two groups of 8- and 30-week-old Tight Skin (TS) and aged-matched CB57BL/6 mice were examined. The TS mice spontaneously developed emphysema-like alveolar enlargement. In vivo micro-computed tomography (microCT) scanning and histology were used as reference methods. RESULTS: MR signal and T2* were significantly lower in the lungs of TS mice than in controls. There were no significant differences between the different age groups. MR signal in lung parenchyma correlated linearly (P < 0.0001, r = 0.89) with microCT mass density, and T2* correlated linearly (P < 0.0001, r = -0.91) with the alveoli size (mean linear intercept [MLI]). CONCLUSION: The MR signal intensity and T2* measured at short tds can be used as imaging biomarkers to characterize parenchyma density and alveolar size, respectively. |
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Authors:
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Lars E Olsson; Maria Lindahl; Per-Ola Onnervik; Lars B Johansson; Malin Palmér; Martina Kvist Reimer; Leif Hultin; Paul D Hockings |
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Publication Detail:
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Type: Evaluation Studies; Journal Article |
Journal Detail:
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Title: Journal of magnetic resonance imaging : JMRI Volume: 25 ISSN: 1053-1807 ISO Abbreviation: J Magn Reson Imaging Publication Date: 2007 Mar |
Date Detail:
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Created Date: 2007-03-05 Completed Date: 2007-04-19 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9105850 Medline TA: J Magn Reson Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 488-94 Citation Subset: IM |
Affiliation:
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DECS Imaging, AstraZeneca, Mölndal, Sweden. lars.e.olsson@astrazeneca.com |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Age Factors Animals Disease Models, Animal Disease Progression Emphysema / diagnosis* Image Processing, Computer-Assisted / methods Imaging, Three-Dimensional / methods Lung / pathology*, radiography Magnetic Resonance Imaging / instrumentation, methods* Mice Signal Processing, Computer-Assisted* Tomography, X-Ray Computed / methods |
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