Volume of pulmonary lobes and segments in chronic obstructive pulmonary diseases calculated using newly developed three-dimensional software
Purpose The aim of this study was to measure the volume of each pulmonary segment by volumetric computed tomography (CT) data using a newly developed three-dimensional software application and to identify the differences between those with chronic obstructive pulmonary disease (COPD) and controls. M...
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| Veröffentlicht in: | Japanese Journal of Radiology 2009-04, Vol.27 (3), p.115-122 |
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| container_title | Japanese Journal of Radiology |
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| creator | Daimon, Tadahisa Fujimoto, Kiminori Tanaka, Keisuke Yamamoto, Junya Nishimura, Kanako Tanaka, Yuko Yanagawa, Masahiro Sumikawa, Hiromitsu Inoue, Atsuo Honda, Osamu Tomiyama, Noriyuki Nakamura, Hironobu Sugiyama, Yukihiko Johkoh, Takeshi |
| description | Purpose
The aim of this study was to measure the volume of each pulmonary segment by volumetric computed tomography (CT) data using a newly developed three-dimensional software application and to identify the differences between those with chronic obstructive pulmonary disease (COPD) and controls.
Materials and methods
CT scans of 11 COPD patients and 16 controls were included. The volume of each pulmonary segment was measured by each of two operators to evaluate the reproducibility of the software. This measured volume was then divided by the total lung volume to revise individual variations.
Results
Volumes of the right (rt) S2, rt S5, left (lt) S1 + S2, lt S3, and lt S5 were significantly larger in COPD patients than in controls (
P
< 0.05). Regarding the ratio of the volume of each pulmonary segment per total lung volume, the areas of rt S2 and lt S1 + S2 were significantly larger in COPD patients than in controls (
P
< 0.05), whereas lt S10 was significantly smaller in COPD patients than in controls (
P
< 0.05).
Conclusion
We measured the volume of each pulmonary segment based on volumetric CT data using this software. In addition, we demonstrated that the upper lung volume of COPD subjects was larger than that of controls, whereas the lower lung volumes were almost the same. |
| doi_str_mv | 10.1007/s11604-008-0307-y |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_67187809</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>67187809</sourcerecordid><originalsourceid>FETCH-LOGICAL-c459t-78f2da327e296d6d344d7f1e62b1d5e98f67ba22db5aa8d7dbccca099d07e7603</originalsourceid><addsrcrecordid>eNp1kU1vFSEUhonR2Fr9AW4MceFu9MDMALM0jV9JEzfqljBw5nYaBq6cmTb3P_ijpd6b2Ji4gnCe94XwMPZSwFsBoN-REAq6BsA00IJuDo_YuTBKNr3U3eM_e90I0OKMPSO6Aejazqin7EwMnZBKm3P260eO24I8T3y_xSUnVw485hGJuxQ44W7BtBKfE_fXJafZ8zzSWja_zrf4IBNmQkc15l30W3QrBr7RnHY84V2sc7zFmPf1dL0uiE2YazHNNRw55Wm9cwWfsyeTi4QvTusF-_7xw7fLz83V109fLt9fNb7rh7XRZpLBtVKjHFRQoe26oCeBSo4i9DiYSenRSRnG3jkTdBi99w6GIYBGraC9YG-OvfuSf25Iq11m8hijS5g3skoLow0MFXz9D3iTt1KfTFYMWnYAoq-QOEK-ZKKCk92Xeal_YgXYe0_26MlWT_bekz3UzKtT8TYuGP4mTmIqII8A1VHaYXlw839bfwMuAqLA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>197240015</pqid></control><display><type>article</type><title>Volume of pulmonary lobes and segments in chronic obstructive pulmonary diseases calculated using newly developed three-dimensional software</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Daimon, Tadahisa ; Fujimoto, Kiminori ; Tanaka, Keisuke ; Yamamoto, Junya ; Nishimura, Kanako ; Tanaka, Yuko ; Yanagawa, Masahiro ; Sumikawa, Hiromitsu ; Inoue, Atsuo ; Honda, Osamu ; Tomiyama, Noriyuki ; Nakamura, Hironobu ; Sugiyama, Yukihiko ; Johkoh, Takeshi</creator><creatorcontrib>Daimon, Tadahisa ; Fujimoto, Kiminori ; Tanaka, Keisuke ; Yamamoto, Junya ; Nishimura, Kanako ; Tanaka, Yuko ; Yanagawa, Masahiro ; Sumikawa, Hiromitsu ; Inoue, Atsuo ; Honda, Osamu ; Tomiyama, Noriyuki ; Nakamura, Hironobu ; Sugiyama, Yukihiko ; Johkoh, Takeshi</creatorcontrib><description>Purpose
The aim of this study was to measure the volume of each pulmonary segment by volumetric computed tomography (CT) data using a newly developed three-dimensional software application and to identify the differences between those with chronic obstructive pulmonary disease (COPD) and controls.
Materials and methods
CT scans of 11 COPD patients and 16 controls were included. The volume of each pulmonary segment was measured by each of two operators to evaluate the reproducibility of the software. This measured volume was then divided by the total lung volume to revise individual variations.
Results
Volumes of the right (rt) S2, rt S5, left (lt) S1 + S2, lt S3, and lt S5 were significantly larger in COPD patients than in controls (
P
< 0.05). Regarding the ratio of the volume of each pulmonary segment per total lung volume, the areas of rt S2 and lt S1 + S2 were significantly larger in COPD patients than in controls (
P
< 0.05), whereas lt S10 was significantly smaller in COPD patients than in controls (
P
< 0.05).
Conclusion
We measured the volume of each pulmonary segment based on volumetric CT data using this software. In addition, we demonstrated that the upper lung volume of COPD subjects was larger than that of controls, whereas the lower lung volumes were almost the same.</description><identifier>ISSN: 1867-1071</identifier><identifier>EISSN: 1862-5274</identifier><identifier>EISSN: 1867-108X</identifier><identifier>DOI: 10.1007/s11604-008-0307-y</identifier><identifier>PMID: 19412678</identifier><language>eng</language><publisher>Japan: Springer Japan</publisher><subject>Adult ; Aged ; Case-Control Studies ; Female ; Humans ; Imaging ; Imaging, Three-Dimensional ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Nuclear Medicine ; Original Article ; Pulmonary Disease, Chronic Obstructive - diagnostic imaging ; Pulmonary Disease, Chronic Obstructive - physiopathology ; Radiographic Image Interpretation, Computer-Assisted - methods ; Radiology ; Radiotherapy ; Reproducibility of Results ; Respiratory Function Tests ; Software ; Statistics, Nonparametric ; Tomography, X-Ray Computed</subject><ispartof>Japanese Journal of Radiology, 2009-04, Vol.27 (3), p.115-122</ispartof><rights>Japan Radiological Society 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-78f2da327e296d6d344d7f1e62b1d5e98f67ba22db5aa8d7dbccca099d07e7603</citedby><cites>FETCH-LOGICAL-c459t-78f2da327e296d6d344d7f1e62b1d5e98f67ba22db5aa8d7dbccca099d07e7603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11604-008-0307-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11604-008-0307-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19412678$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Daimon, Tadahisa</creatorcontrib><creatorcontrib>Fujimoto, Kiminori</creatorcontrib><creatorcontrib>Tanaka, Keisuke</creatorcontrib><creatorcontrib>Yamamoto, Junya</creatorcontrib><creatorcontrib>Nishimura, Kanako</creatorcontrib><creatorcontrib>Tanaka, Yuko</creatorcontrib><creatorcontrib>Yanagawa, Masahiro</creatorcontrib><creatorcontrib>Sumikawa, Hiromitsu</creatorcontrib><creatorcontrib>Inoue, Atsuo</creatorcontrib><creatorcontrib>Honda, Osamu</creatorcontrib><creatorcontrib>Tomiyama, Noriyuki</creatorcontrib><creatorcontrib>Nakamura, Hironobu</creatorcontrib><creatorcontrib>Sugiyama, Yukihiko</creatorcontrib><creatorcontrib>Johkoh, Takeshi</creatorcontrib><title>Volume of pulmonary lobes and segments in chronic obstructive pulmonary diseases calculated using newly developed three-dimensional software</title><title>Japanese Journal of Radiology</title><addtitle>Jap J Radiol</addtitle><addtitle>Jpn J Radiol</addtitle><description>Purpose
The aim of this study was to measure the volume of each pulmonary segment by volumetric computed tomography (CT) data using a newly developed three-dimensional software application and to identify the differences between those with chronic obstructive pulmonary disease (COPD) and controls.
Materials and methods
CT scans of 11 COPD patients and 16 controls were included. The volume of each pulmonary segment was measured by each of two operators to evaluate the reproducibility of the software. This measured volume was then divided by the total lung volume to revise individual variations.
Results
Volumes of the right (rt) S2, rt S5, left (lt) S1 + S2, lt S3, and lt S5 were significantly larger in COPD patients than in controls (
P
< 0.05). Regarding the ratio of the volume of each pulmonary segment per total lung volume, the areas of rt S2 and lt S1 + S2 were significantly larger in COPD patients than in controls (
P
< 0.05), whereas lt S10 was significantly smaller in COPD patients than in controls (
P
< 0.05).
Conclusion
We measured the volume of each pulmonary segment based on volumetric CT data using this software. In addition, we demonstrated that the upper lung volume of COPD subjects was larger than that of controls, whereas the lower lung volumes were almost the same.</description><subject>Adult</subject><subject>Aged</subject><subject>Case-Control Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging</subject><subject>Imaging, Three-Dimensional</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Nuclear Medicine</subject><subject>Original Article</subject><subject>Pulmonary Disease, Chronic Obstructive - diagnostic imaging</subject><subject>Pulmonary Disease, Chronic Obstructive - physiopathology</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Radiology</subject><subject>Radiotherapy</subject><subject>Reproducibility of Results</subject><subject>Respiratory Function Tests</subject><subject>Software</subject><subject>Statistics, Nonparametric</subject><subject>Tomography, X-Ray Computed</subject><issn>1867-1071</issn><issn>1862-5274</issn><issn>1867-108X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU1vFSEUhonR2Fr9AW4MceFu9MDMALM0jV9JEzfqljBw5nYaBq6cmTb3P_ijpd6b2Ji4gnCe94XwMPZSwFsBoN-REAq6BsA00IJuDo_YuTBKNr3U3eM_e90I0OKMPSO6Aejazqin7EwMnZBKm3P260eO24I8T3y_xSUnVw485hGJuxQ44W7BtBKfE_fXJafZ8zzSWja_zrf4IBNmQkc15l30W3QrBr7RnHY84V2sc7zFmPf1dL0uiE2YazHNNRw55Wm9cwWfsyeTi4QvTusF-_7xw7fLz83V109fLt9fNb7rh7XRZpLBtVKjHFRQoe26oCeBSo4i9DiYSenRSRnG3jkTdBi99w6GIYBGraC9YG-OvfuSf25Iq11m8hijS5g3skoLow0MFXz9D3iTt1KfTFYMWnYAoq-QOEK-ZKKCk92Xeal_YgXYe0_26MlWT_bekz3UzKtT8TYuGP4mTmIqII8A1VHaYXlw839bfwMuAqLA</recordid><startdate>20090401</startdate><enddate>20090401</enddate><creator>Daimon, Tadahisa</creator><creator>Fujimoto, Kiminori</creator><creator>Tanaka, Keisuke</creator><creator>Yamamoto, Junya</creator><creator>Nishimura, Kanako</creator><creator>Tanaka, Yuko</creator><creator>Yanagawa, Masahiro</creator><creator>Sumikawa, Hiromitsu</creator><creator>Inoue, Atsuo</creator><creator>Honda, Osamu</creator><creator>Tomiyama, Noriyuki</creator><creator>Nakamura, Hironobu</creator><creator>Sugiyama, Yukihiko</creator><creator>Johkoh, Takeshi</creator><general>Springer Japan</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>7TK</scope><scope>7U7</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>C1K</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>20090401</creationdate><title>Volume of pulmonary lobes and segments in chronic obstructive pulmonary diseases calculated using newly developed three-dimensional software</title><author>Daimon, Tadahisa ; Fujimoto, Kiminori ; Tanaka, Keisuke ; Yamamoto, Junya ; Nishimura, Kanako ; Tanaka, Yuko ; Yanagawa, Masahiro ; Sumikawa, Hiromitsu ; Inoue, Atsuo ; Honda, Osamu ; Tomiyama, Noriyuki ; Nakamura, Hironobu ; Sugiyama, Yukihiko ; Johkoh, Takeshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-78f2da327e296d6d344d7f1e62b1d5e98f67ba22db5aa8d7dbccca099d07e7603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Case-Control Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging</topic><topic>Imaging, Three-Dimensional</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Nuclear Medicine</topic><topic>Original Article</topic><topic>Pulmonary Disease, Chronic Obstructive - diagnostic imaging</topic><topic>Pulmonary Disease, Chronic Obstructive - physiopathology</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Radiology</topic><topic>Radiotherapy</topic><topic>Reproducibility of Results</topic><topic>Respiratory Function Tests</topic><topic>Software</topic><topic>Statistics, Nonparametric</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Daimon, Tadahisa</creatorcontrib><creatorcontrib>Fujimoto, Kiminori</creatorcontrib><creatorcontrib>Tanaka, Keisuke</creatorcontrib><creatorcontrib>Yamamoto, Junya</creatorcontrib><creatorcontrib>Nishimura, Kanako</creatorcontrib><creatorcontrib>Tanaka, Yuko</creatorcontrib><creatorcontrib>Yanagawa, Masahiro</creatorcontrib><creatorcontrib>Sumikawa, Hiromitsu</creatorcontrib><creatorcontrib>Inoue, Atsuo</creatorcontrib><creatorcontrib>Honda, Osamu</creatorcontrib><creatorcontrib>Tomiyama, Noriyuki</creatorcontrib><creatorcontrib>Nakamura, Hironobu</creatorcontrib><creatorcontrib>Sugiyama, Yukihiko</creatorcontrib><creatorcontrib>Johkoh, Takeshi</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>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</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 Edition)</collection><collection>ProQuest Central UK/Ireland</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>Environmental Sciences and Pollution Management</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</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>Japanese Journal of Radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Daimon, Tadahisa</au><au>Fujimoto, Kiminori</au><au>Tanaka, Keisuke</au><au>Yamamoto, Junya</au><au>Nishimura, Kanako</au><au>Tanaka, Yuko</au><au>Yanagawa, Masahiro</au><au>Sumikawa, Hiromitsu</au><au>Inoue, Atsuo</au><au>Honda, Osamu</au><au>Tomiyama, Noriyuki</au><au>Nakamura, Hironobu</au><au>Sugiyama, Yukihiko</au><au>Johkoh, Takeshi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Volume of pulmonary lobes and segments in chronic obstructive pulmonary diseases calculated using newly developed three-dimensional software</atitle><jtitle>Japanese Journal of Radiology</jtitle><stitle>Jap J Radiol</stitle><addtitle>Jpn J Radiol</addtitle><date>2009-04-01</date><risdate>2009</risdate><volume>27</volume><issue>3</issue><spage>115</spage><epage>122</epage><pages>115-122</pages><issn>1867-1071</issn><eissn>1862-5274</eissn><eissn>1867-108X</eissn><abstract>Purpose
The aim of this study was to measure the volume of each pulmonary segment by volumetric computed tomography (CT) data using a newly developed three-dimensional software application and to identify the differences between those with chronic obstructive pulmonary disease (COPD) and controls.
Materials and methods
CT scans of 11 COPD patients and 16 controls were included. The volume of each pulmonary segment was measured by each of two operators to evaluate the reproducibility of the software. This measured volume was then divided by the total lung volume to revise individual variations.
Results
Volumes of the right (rt) S2, rt S5, left (lt) S1 + S2, lt S3, and lt S5 were significantly larger in COPD patients than in controls (
P
< 0.05). Regarding the ratio of the volume of each pulmonary segment per total lung volume, the areas of rt S2 and lt S1 + S2 were significantly larger in COPD patients than in controls (
P
< 0.05), whereas lt S10 was significantly smaller in COPD patients than in controls (
P
< 0.05).
Conclusion
We measured the volume of each pulmonary segment based on volumetric CT data using this software. In addition, we demonstrated that the upper lung volume of COPD subjects was larger than that of controls, whereas the lower lung volumes were almost the same.</abstract><cop>Japan</cop><pub>Springer Japan</pub><pmid>19412678</pmid><doi>10.1007/s11604-008-0307-y</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1867-1071 |
| ispartof | Japanese Journal of Radiology, 2009-04, Vol.27 (3), p.115-122 |
| issn | 1867-1071 1862-5274 1867-108X |
| language | eng |
| recordid | cdi_proquest_miscellaneous_67187809 |
| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Adult Aged Case-Control Studies Female Humans Imaging Imaging, Three-Dimensional Male Medicine Medicine & Public Health Middle Aged Nuclear Medicine Original Article Pulmonary Disease, Chronic Obstructive - diagnostic imaging Pulmonary Disease, Chronic Obstructive - physiopathology Radiographic Image Interpretation, Computer-Assisted - methods Radiology Radiotherapy Reproducibility of Results Respiratory Function Tests Software Statistics, Nonparametric Tomography, X-Ray Computed |
| title | Volume of pulmonary lobes and segments in chronic obstructive pulmonary diseases calculated using newly developed three-dimensional software |
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