Impact of lung volume on MR signal intensity changes of the lung parenchyma

Purpose To test the hypothesis that, in magnetic resonance (MR) imaging of healthy individuals, equal relative changes in lung volume cause equal relative changes in MR signal intensity of the lung parenchyma. Materials and Methods In two experimental runs, 10 volunteers underwent spirometrically mo...

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Veröffentlicht in:Journal of magnetic resonance imaging 2004-12, Vol.20 (6), p.961-966
Hauptverfasser: Bankier, Alexander A., O'Donnell, Carl R., Mai, Vu M., Storey, Pippa, De Maertelaer, Viviane, Edelman, Robert R., Chen, Qun
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container_end_page 966
container_issue 6
container_start_page 961
container_title Journal of magnetic resonance imaging
container_volume 20
creator Bankier, Alexander A.
O'Donnell, Carl R.
Mai, Vu M.
Storey, Pippa
De Maertelaer, Viviane
Edelman, Robert R.
Chen, Qun
description Purpose To test the hypothesis that, in magnetic resonance (MR) imaging of healthy individuals, equal relative changes in lung volume cause equal relative changes in MR signal intensity of the lung parenchyma. Materials and Methods In two experimental runs, 10 volunteers underwent spirometrically monitored MR imaging of the lungs, with MR images acquired at 10 incremental lung volumes ranging from total lung capacity to 10% above residual volume. Average signal intensity, signal variability, and signal intensity integrals were calculated for each volunteer and for each lung volume. The effect of lung volume on signal intensity was quantified using linear regression analysis complemented by the runs test. Slopes and intercepts of regression lines were compared with an analysis of covariance. Slopes of the lines of best fit for lung volumes and signal intensities from the two runs were compared to the slope of the line of identity. Comparisons between the two runs were visualized using Bland and Altman plots. Results The slopes of the 10 individual regression lines yielded no significant differences (F = 1.703, P = 0.101; F = 1.321, P = 0.239). The common slopes were –0.556 ± 0.027 (P = 0.0001) for the first and –0.597 ± 0.0031 (P = 0.0001) for the second experimental run. Both slopes displayed no significant nonlinearity (P = 0.419 and P = 0.067). There was a strong association between changes in lung volumes (rs = 0.991, P = 0.0001) and changes in signal intensity (rs = 0.889, P = 0.0001) in the two experimental runs. Lines of best fit for lung volume and signal intensities were not significantly different from the slope of the line of identity (P = 0.321 and P = 0.212, respectively). Conclusion Equal changes in lung volume cause equal changes in MR signal intensity of the lung parenchyma. This linear and reproducible phenomenon could be helpful in comparing pulmonary MR signal intensity between individuals. J. Magn. Reson. Imaging 2004;20:961–966. © 2004 Wiley‐Liss, Inc.
doi_str_mv 10.1002/jmri.20198
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Materials and Methods In two experimental runs, 10 volunteers underwent spirometrically monitored MR imaging of the lungs, with MR images acquired at 10 incremental lung volumes ranging from total lung capacity to 10% above residual volume. Average signal intensity, signal variability, and signal intensity integrals were calculated for each volunteer and for each lung volume. The effect of lung volume on signal intensity was quantified using linear regression analysis complemented by the runs test. Slopes and intercepts of regression lines were compared with an analysis of covariance. Slopes of the lines of best fit for lung volumes and signal intensities from the two runs were compared to the slope of the line of identity. Comparisons between the two runs were visualized using Bland and Altman plots. Results The slopes of the 10 individual regression lines yielded no significant differences (F = 1.703, P = 0.101; F = 1.321, P = 0.239). The common slopes were –0.556 ± 0.027 (P = 0.0001) for the first and –0.597 ± 0.0031 (P = 0.0001) for the second experimental run. Both slopes displayed no significant nonlinearity (P = 0.419 and P = 0.067). There was a strong association between changes in lung volumes (rs = 0.991, P = 0.0001) and changes in signal intensity (rs = 0.889, P = 0.0001) in the two experimental runs. Lines of best fit for lung volume and signal intensities were not significantly different from the slope of the line of identity (P = 0.321 and P = 0.212, respectively). Conclusion Equal changes in lung volume cause equal changes in MR signal intensity of the lung parenchyma. This linear and reproducible phenomenon could be helpful in comparing pulmonary MR signal intensity between individuals. J. Magn. Reson. Imaging 2004;20:961–966. © 2004 Wiley‐Liss, Inc.</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.20198</identifier><identifier>PMID: 15558552</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Adult ; Humans ; Image Processing, Computer-Assisted ; lung ; Lung - anatomy &amp; histology ; lung physiology ; lung volume ; Lung Volume Measurements ; magnetic resonance (MR) ; Magnetic Resonance Imaging ; Male ; signal intensity ; Spirometry ; Total Lung Capacity ; Vital Capacity</subject><ispartof>Journal of magnetic resonance imaging, 2004-12, Vol.20 (6), p.961-966</ispartof><rights>Copyright © 2004 Wiley‐Liss, Inc.</rights><rights>2004 Wiley-Liss, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4308-31c676bc5c9e3634eadcc24c798c699bd100842fa21e4a68c7d3f43d19f373ea3</citedby><cites>FETCH-LOGICAL-c4308-31c676bc5c9e3634eadcc24c798c699bd100842fa21e4a68c7d3f43d19f373ea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.20198$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.20198$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,27924,27925,45574,45575,46409,46833</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15558552$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bankier, Alexander A.</creatorcontrib><creatorcontrib>O'Donnell, Carl R.</creatorcontrib><creatorcontrib>Mai, Vu M.</creatorcontrib><creatorcontrib>Storey, Pippa</creatorcontrib><creatorcontrib>De Maertelaer, Viviane</creatorcontrib><creatorcontrib>Edelman, Robert R.</creatorcontrib><creatorcontrib>Chen, Qun</creatorcontrib><title>Impact of lung volume on MR signal intensity changes of the lung parenchyma</title><title>Journal of magnetic resonance imaging</title><addtitle>J. Magn. Reson. Imaging</addtitle><description>Purpose To test the hypothesis that, in magnetic resonance (MR) imaging of healthy individuals, equal relative changes in lung volume cause equal relative changes in MR signal intensity of the lung parenchyma. Materials and Methods In two experimental runs, 10 volunteers underwent spirometrically monitored MR imaging of the lungs, with MR images acquired at 10 incremental lung volumes ranging from total lung capacity to 10% above residual volume. Average signal intensity, signal variability, and signal intensity integrals were calculated for each volunteer and for each lung volume. The effect of lung volume on signal intensity was quantified using linear regression analysis complemented by the runs test. Slopes and intercepts of regression lines were compared with an analysis of covariance. Slopes of the lines of best fit for lung volumes and signal intensities from the two runs were compared to the slope of the line of identity. Comparisons between the two runs were visualized using Bland and Altman plots. Results The slopes of the 10 individual regression lines yielded no significant differences (F = 1.703, P = 0.101; F = 1.321, P = 0.239). The common slopes were –0.556 ± 0.027 (P = 0.0001) for the first and –0.597 ± 0.0031 (P = 0.0001) for the second experimental run. Both slopes displayed no significant nonlinearity (P = 0.419 and P = 0.067). There was a strong association between changes in lung volumes (rs = 0.991, P = 0.0001) and changes in signal intensity (rs = 0.889, P = 0.0001) in the two experimental runs. Lines of best fit for lung volume and signal intensities were not significantly different from the slope of the line of identity (P = 0.321 and P = 0.212, respectively). Conclusion Equal changes in lung volume cause equal changes in MR signal intensity of the lung parenchyma. This linear and reproducible phenomenon could be helpful in comparing pulmonary MR signal intensity between individuals. J. Magn. Reson. Imaging 2004;20:961–966. © 2004 Wiley‐Liss, Inc.</description><subject>Adult</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>lung</subject><subject>Lung - anatomy &amp; histology</subject><subject>lung physiology</subject><subject>lung volume</subject><subject>Lung Volume Measurements</subject><subject>magnetic resonance (MR)</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>signal intensity</subject><subject>Spirometry</subject><subject>Total Lung Capacity</subject><subject>Vital Capacity</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkDtPwzAUhS0EolBY-AEoEwNSip-JPSIEpaUFVPHaLNe5aQN5lDgB-u9JSYENpnuH7xzpfAgdENwjGNOT56xMehQTJTfQDhGU-lTIYLP5sWA-kTjsoF3nnjHGSnGxjTpECCGFoDvoapAtjK28IvbSOp95b0VaZ-AVuTeeeC6Z5Sb1kryC3CXV0rNzk8_ArehqDm1iYUrI7XyZmT20FZvUwf76dtH9xfnd2aU_uukPzk5HvuUMS58RG4TB1AqrgAWMg4mspdyGStpAqWnUjJKcxoYS4CaQNoxYzFlEVMxCBoZ10VHbuyiL1xpcpbPEWUhTk0NROx2EhBCF-b8gCZlkVOIGPG5BWxbOlRDrRZlkplxqgvXKsV451l-OG_hw3VpPM4h-0bXUBiAt8J6ksPyjSg_Hk8F3qd9mElfBx0_GlC_NHBYK_Xjd10M-frp9mBDN2CcRfZV-</recordid><startdate>200412</startdate><enddate>200412</enddate><creator>Bankier, Alexander A.</creator><creator>O'Donnell, Carl R.</creator><creator>Mai, Vu M.</creator><creator>Storey, Pippa</creator><creator>De Maertelaer, Viviane</creator><creator>Edelman, Robert R.</creator><creator>Chen, Qun</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>200412</creationdate><title>Impact of lung volume on MR signal intensity changes of the lung parenchyma</title><author>Bankier, Alexander A. ; O'Donnell, Carl R. ; Mai, Vu M. ; Storey, Pippa ; De Maertelaer, Viviane ; Edelman, Robert R. ; Chen, Qun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4308-31c676bc5c9e3634eadcc24c798c699bd100842fa21e4a68c7d3f43d19f373ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Adult</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>lung</topic><topic>Lung - anatomy &amp; histology</topic><topic>lung physiology</topic><topic>lung volume</topic><topic>Lung Volume Measurements</topic><topic>magnetic resonance (MR)</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>signal intensity</topic><topic>Spirometry</topic><topic>Total Lung Capacity</topic><topic>Vital Capacity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bankier, Alexander A.</creatorcontrib><creatorcontrib>O'Donnell, Carl R.</creatorcontrib><creatorcontrib>Mai, Vu M.</creatorcontrib><creatorcontrib>Storey, Pippa</creatorcontrib><creatorcontrib>De Maertelaer, Viviane</creatorcontrib><creatorcontrib>Edelman, Robert R.</creatorcontrib><creatorcontrib>Chen, Qun</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bankier, Alexander A.</au><au>O'Donnell, Carl R.</au><au>Mai, Vu M.</au><au>Storey, Pippa</au><au>De Maertelaer, Viviane</au><au>Edelman, Robert R.</au><au>Chen, Qun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of lung volume on MR signal intensity changes of the lung parenchyma</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J. Magn. Reson. Imaging</addtitle><date>2004-12</date><risdate>2004</risdate><volume>20</volume><issue>6</issue><spage>961</spage><epage>966</epage><pages>961-966</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>Purpose To test the hypothesis that, in magnetic resonance (MR) imaging of healthy individuals, equal relative changes in lung volume cause equal relative changes in MR signal intensity of the lung parenchyma. Materials and Methods In two experimental runs, 10 volunteers underwent spirometrically monitored MR imaging of the lungs, with MR images acquired at 10 incremental lung volumes ranging from total lung capacity to 10% above residual volume. Average signal intensity, signal variability, and signal intensity integrals were calculated for each volunteer and for each lung volume. The effect of lung volume on signal intensity was quantified using linear regression analysis complemented by the runs test. Slopes and intercepts of regression lines were compared with an analysis of covariance. Slopes of the lines of best fit for lung volumes and signal intensities from the two runs were compared to the slope of the line of identity. Comparisons between the two runs were visualized using Bland and Altman plots. Results The slopes of the 10 individual regression lines yielded no significant differences (F = 1.703, P = 0.101; F = 1.321, P = 0.239). The common slopes were –0.556 ± 0.027 (P = 0.0001) for the first and –0.597 ± 0.0031 (P = 0.0001) for the second experimental run. Both slopes displayed no significant nonlinearity (P = 0.419 and P = 0.067). There was a strong association between changes in lung volumes (rs = 0.991, P = 0.0001) and changes in signal intensity (rs = 0.889, P = 0.0001) in the two experimental runs. Lines of best fit for lung volume and signal intensities were not significantly different from the slope of the line of identity (P = 0.321 and P = 0.212, respectively). Conclusion Equal changes in lung volume cause equal changes in MR signal intensity of the lung parenchyma. This linear and reproducible phenomenon could be helpful in comparing pulmonary MR signal intensity between individuals. J. Magn. Reson. Imaging 2004;20:961–966. © 2004 Wiley‐Liss, Inc.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>15558552</pmid><doi>10.1002/jmri.20198</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Humans
Image Processing, Computer-Assisted
lung
Lung - anatomy & histology
lung physiology
lung volume
Lung Volume Measurements
magnetic resonance (MR)
Magnetic Resonance Imaging
Male
signal intensity
Spirometry
Total Lung Capacity
Vital Capacity
title Impact of lung volume on MR signal intensity changes of the lung parenchyma
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