Loading…
MDCT assessment of airway wall thickness in COPD patients using a new method: correlations with pulmonary function tests
Quantitative assessment of airway-wall dimensions by computed tomography (CT) has proven to be a marker of airway-wall remodelling in chronic obstructive pulmonary disease (COPD) patients. The objective was to correlate the wall thickness of large and small airways with functional parameters of airf...
Saved in:
Published in: | European radiology 2008-12, Vol.18 (12), p.2731-2738 |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c369t-7e6ec214f3b184cc8045c356634fb401685645ee8a19cc33962b356f390592c43 |
---|---|
cites | cdi_FETCH-LOGICAL-c369t-7e6ec214f3b184cc8045c356634fb401685645ee8a19cc33962b356f390592c43 |
container_end_page | 2738 |
container_issue | 12 |
container_start_page | 2731 |
container_title | European radiology |
container_volume | 18 |
creator | Achenbach, Tobias Weinheimer, Oliver Biedermann, Alexander Schmitt, Sabine Freudenstein, Daniela Goutham, Edula Kunz, Richard Peter Buhl, Roland Dueber, Christoph Heussel, Claus Peter |
description | Quantitative assessment of airway-wall dimensions by computed tomography (CT) has proven to be a marker of airway-wall remodelling in chronic obstructive pulmonary disease (COPD) patients. The objective was to correlate the wall thickness of large and small airways with functional parameters of airflow obstruction in COPD patients on multi-detector (MD) CT images using a new quantification procedure from a three-dimensional (3D) approach of the bronchial tree. In 31 patients (smokers/COPD, non-smokers/controls), we quantitatively assessed contiguous MDCT cross-sections reconstructed orthogonally along the airway axis, taking the point-spread function into account to circumvent over-estimation. Wall thickness and wall percentage were measured and the per-patient mean/median correlated with FEV1 and FEV1%. A median of 619 orthogonal airway locations was assessed per patient. Mean wall percentage/mean wall thickness/median wall thickness in non-smokers (29.6%/0.69 mm/0.37 mm) was significantly different from the COPD group (38.9%/0.83 mm/0.54 mm). Correlation coefficients (
r
) between FEV1 or FEV1% predicted and intra-individual means of the wall percentage were −0.569 and −0.560, respectively, with
p
|
doi_str_mv | 10.1007/s00330-008-1089-4 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_69783724</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>69783724</sourcerecordid><originalsourceid>FETCH-LOGICAL-c369t-7e6ec214f3b184cc8045c356634fb401685645ee8a19cc33962b356f390592c43</originalsourceid><addsrcrecordid>eNp1kU1v1DAQhi0EokvhB3BBIw69Bcax49jc0JaPSq3aQzlbXtfppiT24km07b_H0a5UCYmTZb2P3xnrYew9x08csf1MiEJghagrjtpU8gVbcSnq5SZfshUaoavWGHnC3hA9IKLhsn3NTrhWkhsjVuzx6nx9C44oEI0hTpA6cH3euyfYu2GAadv737GE0EdYX9-cw85NfQEJZurjPTiIYQ9jmLbp7gv4lHMYCpEiwb6ftrCbhzFFl5-gm6NfApgCTfSWvercQOHd8Txlv75_u13_rC6vf1ysv15WXigzVW1QwddcdmLDtfReo2y8aJQSsttI5Eo3SjYhaMeN90IYVW9K3AmDjam9FKfs7NC7y-nPXCbbsScfhsHFkGayyrRatPUCfvwHfEhzjmU3W3NtaoOmLRA_QD4nohw6u8v9WH5nOdrFiT04scWJXZzYpfjDsXjejOHu-cVRQgHqA0AlivchP0_-f-tfpfCW1w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>218929097</pqid></control><display><type>article</type><title>MDCT assessment of airway wall thickness in COPD patients using a new method: correlations with pulmonary function tests</title><source>Springer Link</source><creator>Achenbach, Tobias ; Weinheimer, Oliver ; Biedermann, Alexander ; Schmitt, Sabine ; Freudenstein, Daniela ; Goutham, Edula ; Kunz, Richard Peter ; Buhl, Roland ; Dueber, Christoph ; Heussel, Claus Peter</creator><creatorcontrib>Achenbach, Tobias ; Weinheimer, Oliver ; Biedermann, Alexander ; Schmitt, Sabine ; Freudenstein, Daniela ; Goutham, Edula ; Kunz, Richard Peter ; Buhl, Roland ; Dueber, Christoph ; Heussel, Claus Peter</creatorcontrib><description>Quantitative assessment of airway-wall dimensions by computed tomography (CT) has proven to be a marker of airway-wall remodelling in chronic obstructive pulmonary disease (COPD) patients. The objective was to correlate the wall thickness of large and small airways with functional parameters of airflow obstruction in COPD patients on multi-detector (MD) CT images using a new quantification procedure from a three-dimensional (3D) approach of the bronchial tree. In 31 patients (smokers/COPD, non-smokers/controls), we quantitatively assessed contiguous MDCT cross-sections reconstructed orthogonally along the airway axis, taking the point-spread function into account to circumvent over-estimation. Wall thickness and wall percentage were measured and the per-patient mean/median correlated with FEV1 and FEV1%. A median of 619 orthogonal airway locations was assessed per patient. Mean wall percentage/mean wall thickness/median wall thickness in non-smokers (29.6%/0.69 mm/0.37 mm) was significantly different from the COPD group (38.9%/0.83 mm/0.54 mm). Correlation coefficients (
r
) between FEV1 or FEV1% predicted and intra-individual means of the wall percentage were −0.569 and −0.560, respectively, with
p
< 0.001. Depending on the parameter, they were increased for airways of 4 mm and smaller in total diameter, being −0.621 (FEV1) and −0.537 (FEV1%) with
p
< 0.002. The wall thickness was significantly higher in smokers than in non-smokers. In COPD patients, the wall thickness measured as a mean for a given patient correlated with the values of FEV1 and FEV1% predicted. Correlation with FEV1 was higher when only small airways were considered</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-008-1089-4</identifier><identifier>PMID: 18641993</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Airway management ; Algorithms ; Artificial Intelligence ; Chest ; Chronic obstructive pulmonary disease ; Diagnostic Radiology ; Female ; Humans ; Imaging ; Imaging, Three-Dimensional - methods ; Internal Medicine ; Interventional Radiology ; Lung - diagnostic imaging ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neuroradiology ; Patients ; Pattern Recognition, Automated - methods ; Pulmonary Disease, Chronic Obstructive - diagnosis ; Radiographic Image Enhancement - methods ; Radiographic Image Interpretation, Computer-Assisted - methods ; Radiology ; Reproducibility of Results ; Respiratory Function Tests ; Sensitivity and Specificity ; Statistics as Topic ; Tomography ; Tomography, X-Ray Computed - methods ; Ultrasound</subject><ispartof>European radiology, 2008-12, Vol.18 (12), p.2731-2738</ispartof><rights>European Society of Radiology 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-7e6ec214f3b184cc8045c356634fb401685645ee8a19cc33962b356f390592c43</citedby><cites>FETCH-LOGICAL-c369t-7e6ec214f3b184cc8045c356634fb401685645ee8a19cc33962b356f390592c43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18641993$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Achenbach, Tobias</creatorcontrib><creatorcontrib>Weinheimer, Oliver</creatorcontrib><creatorcontrib>Biedermann, Alexander</creatorcontrib><creatorcontrib>Schmitt, Sabine</creatorcontrib><creatorcontrib>Freudenstein, Daniela</creatorcontrib><creatorcontrib>Goutham, Edula</creatorcontrib><creatorcontrib>Kunz, Richard Peter</creatorcontrib><creatorcontrib>Buhl, Roland</creatorcontrib><creatorcontrib>Dueber, Christoph</creatorcontrib><creatorcontrib>Heussel, Claus Peter</creatorcontrib><title>MDCT assessment of airway wall thickness in COPD patients using a new method: correlations with pulmonary function tests</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Quantitative assessment of airway-wall dimensions by computed tomography (CT) has proven to be a marker of airway-wall remodelling in chronic obstructive pulmonary disease (COPD) patients. The objective was to correlate the wall thickness of large and small airways with functional parameters of airflow obstruction in COPD patients on multi-detector (MD) CT images using a new quantification procedure from a three-dimensional (3D) approach of the bronchial tree. In 31 patients (smokers/COPD, non-smokers/controls), we quantitatively assessed contiguous MDCT cross-sections reconstructed orthogonally along the airway axis, taking the point-spread function into account to circumvent over-estimation. Wall thickness and wall percentage were measured and the per-patient mean/median correlated with FEV1 and FEV1%. A median of 619 orthogonal airway locations was assessed per patient. Mean wall percentage/mean wall thickness/median wall thickness in non-smokers (29.6%/0.69 mm/0.37 mm) was significantly different from the COPD group (38.9%/0.83 mm/0.54 mm). Correlation coefficients (
r
) between FEV1 or FEV1% predicted and intra-individual means of the wall percentage were −0.569 and −0.560, respectively, with
p
< 0.001. Depending on the parameter, they were increased for airways of 4 mm and smaller in total diameter, being −0.621 (FEV1) and −0.537 (FEV1%) with
p
< 0.002. The wall thickness was significantly higher in smokers than in non-smokers. In COPD patients, the wall thickness measured as a mean for a given patient correlated with the values of FEV1 and FEV1% predicted. Correlation with FEV1 was higher when only small airways were considered</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Airway management</subject><subject>Algorithms</subject><subject>Artificial Intelligence</subject><subject>Chest</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Diagnostic Radiology</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Lung - diagnostic imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuroradiology</subject><subject>Patients</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Pulmonary Disease, Chronic Obstructive - diagnosis</subject><subject>Radiographic Image Enhancement - methods</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Respiratory Function Tests</subject><subject>Sensitivity and Specificity</subject><subject>Statistics as Topic</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNp1kU1v1DAQhi0EokvhB3BBIw69Bcax49jc0JaPSq3aQzlbXtfppiT24km07b_H0a5UCYmTZb2P3xnrYew9x08csf1MiEJghagrjtpU8gVbcSnq5SZfshUaoavWGHnC3hA9IKLhsn3NTrhWkhsjVuzx6nx9C44oEI0hTpA6cH3euyfYu2GAadv737GE0EdYX9-cw85NfQEJZurjPTiIYQ9jmLbp7gv4lHMYCpEiwb6ftrCbhzFFl5-gm6NfApgCTfSWvercQOHd8Txlv75_u13_rC6vf1ysv15WXigzVW1QwddcdmLDtfReo2y8aJQSsttI5Eo3SjYhaMeN90IYVW9K3AmDjam9FKfs7NC7y-nPXCbbsScfhsHFkGayyrRatPUCfvwHfEhzjmU3W3NtaoOmLRA_QD4nohw6u8v9WH5nOdrFiT04scWJXZzYpfjDsXjejOHu-cVRQgHqA0AlivchP0_-f-tfpfCW1w</recordid><startdate>20081201</startdate><enddate>20081201</enddate><creator>Achenbach, Tobias</creator><creator>Weinheimer, Oliver</creator><creator>Biedermann, Alexander</creator><creator>Schmitt, Sabine</creator><creator>Freudenstein, Daniela</creator><creator>Goutham, Edula</creator><creator>Kunz, Richard Peter</creator><creator>Buhl, Roland</creator><creator>Dueber, Christoph</creator><creator>Heussel, Claus Peter</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20081201</creationdate><title>MDCT assessment of airway wall thickness in COPD patients using a new method: correlations with pulmonary function tests</title><author>Achenbach, Tobias ; Weinheimer, Oliver ; Biedermann, Alexander ; Schmitt, Sabine ; Freudenstein, Daniela ; Goutham, Edula ; Kunz, Richard Peter ; Buhl, Roland ; Dueber, Christoph ; Heussel, Claus Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-7e6ec214f3b184cc8045c356634fb401685645ee8a19cc33962b356f390592c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Airway management</topic><topic>Algorithms</topic><topic>Artificial Intelligence</topic><topic>Chest</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Diagnostic Radiology</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Lung - diagnostic imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuroradiology</topic><topic>Patients</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Pulmonary Disease, Chronic Obstructive - diagnosis</topic><topic>Radiographic Image Enhancement - methods</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Respiratory Function Tests</topic><topic>Sensitivity and Specificity</topic><topic>Statistics as Topic</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Achenbach, Tobias</creatorcontrib><creatorcontrib>Weinheimer, Oliver</creatorcontrib><creatorcontrib>Biedermann, Alexander</creatorcontrib><creatorcontrib>Schmitt, Sabine</creatorcontrib><creatorcontrib>Freudenstein, Daniela</creatorcontrib><creatorcontrib>Goutham, Edula</creatorcontrib><creatorcontrib>Kunz, Richard Peter</creatorcontrib><creatorcontrib>Buhl, Roland</creatorcontrib><creatorcontrib>Dueber, Christoph</creatorcontrib><creatorcontrib>Heussel, Claus Peter</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Achenbach, Tobias</au><au>Weinheimer, Oliver</au><au>Biedermann, Alexander</au><au>Schmitt, Sabine</au><au>Freudenstein, Daniela</au><au>Goutham, Edula</au><au>Kunz, Richard Peter</au><au>Buhl, Roland</au><au>Dueber, Christoph</au><au>Heussel, Claus Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MDCT assessment of airway wall thickness in COPD patients using a new method: correlations with pulmonary function tests</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2008-12-01</date><risdate>2008</risdate><volume>18</volume><issue>12</issue><spage>2731</spage><epage>2738</epage><pages>2731-2738</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Quantitative assessment of airway-wall dimensions by computed tomography (CT) has proven to be a marker of airway-wall remodelling in chronic obstructive pulmonary disease (COPD) patients. The objective was to correlate the wall thickness of large and small airways with functional parameters of airflow obstruction in COPD patients on multi-detector (MD) CT images using a new quantification procedure from a three-dimensional (3D) approach of the bronchial tree. In 31 patients (smokers/COPD, non-smokers/controls), we quantitatively assessed contiguous MDCT cross-sections reconstructed orthogonally along the airway axis, taking the point-spread function into account to circumvent over-estimation. Wall thickness and wall percentage were measured and the per-patient mean/median correlated with FEV1 and FEV1%. A median of 619 orthogonal airway locations was assessed per patient. Mean wall percentage/mean wall thickness/median wall thickness in non-smokers (29.6%/0.69 mm/0.37 mm) was significantly different from the COPD group (38.9%/0.83 mm/0.54 mm). Correlation coefficients (
r
) between FEV1 or FEV1% predicted and intra-individual means of the wall percentage were −0.569 and −0.560, respectively, with
p
< 0.001. Depending on the parameter, they were increased for airways of 4 mm and smaller in total diameter, being −0.621 (FEV1) and −0.537 (FEV1%) with
p
< 0.002. The wall thickness was significantly higher in smokers than in non-smokers. In COPD patients, the wall thickness measured as a mean for a given patient correlated with the values of FEV1 and FEV1% predicted. Correlation with FEV1 was higher when only small airways were considered</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>18641993</pmid><doi>10.1007/s00330-008-1089-4</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0938-7994 |
ispartof | European radiology, 2008-12, Vol.18 (12), p.2731-2738 |
issn | 0938-7994 1432-1084 |
language | eng |
recordid | cdi_proquest_miscellaneous_69783724 |
source | Springer Link |
subjects | Adult Aged Aged, 80 and over Airway management Algorithms Artificial Intelligence Chest Chronic obstructive pulmonary disease Diagnostic Radiology Female Humans Imaging Imaging, Three-Dimensional - methods Internal Medicine Interventional Radiology Lung - diagnostic imaging Male Medicine Medicine & Public Health Middle Aged Neuroradiology Patients Pattern Recognition, Automated - methods Pulmonary Disease, Chronic Obstructive - diagnosis Radiographic Image Enhancement - methods Radiographic Image Interpretation, Computer-Assisted - methods Radiology Reproducibility of Results Respiratory Function Tests Sensitivity and Specificity Statistics as Topic Tomography Tomography, X-Ray Computed - methods Ultrasound |
title | MDCT assessment of airway wall thickness in COPD patients using a new method: correlations with pulmonary function tests |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T18%3A12%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MDCT%20assessment%20of%20airway%20wall%20thickness%20in%20COPD%20patients%20using%20a%20new%20method:%20correlations%20with%20pulmonary%20function%20tests&rft.jtitle=European%20radiology&rft.au=Achenbach,%20Tobias&rft.date=2008-12-01&rft.volume=18&rft.issue=12&rft.spage=2731&rft.epage=2738&rft.pages=2731-2738&rft.issn=0938-7994&rft.eissn=1432-1084&rft_id=info:doi/10.1007/s00330-008-1089-4&rft_dat=%3Cproquest_cross%3E69783724%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c369t-7e6ec214f3b184cc8045c356634fb401685645ee8a19cc33962b356f390592c43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=218929097&rft_id=info:pmid/18641993&rfr_iscdi=true |