CT characteristics and pathological implications of early stage (T1N0M0) lung adenocarcinoma with pure ground-glass opacity
Objectives To analyze the CT characteristics and pathological classification of early lung adenocarcinoma (T1N0M0) with pure ground-glass opacity (pGGO). Methods Ninety-four lesions with pGGO on CT in 88 patients with T1N0M0 lung adenocarcinoma were selected from January 2010 to December 2012. All l...
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| Veröffentlicht in: | European radiology 2015-09, Vol.25 (9), p.2532-2540 |
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| creator | Jin, Xin Zhao, Shao-hong Gao, Jie Wang, Dian-jun Wu, Jian Wu, Chong-chong Chang, Rui-ping Ju, Hai-yue |
| description | Objectives
To analyze the CT characteristics and pathological classification of early lung adenocarcinoma (T1N0M0) with pure ground-glass opacity (pGGO).
Methods
Ninety-four lesions with pGGO on CT in 88 patients with T1N0M0 lung adenocarcinoma were selected from January 2010 to December 2012. All lesions were confirmed by pathology. CT appearances were analyzed including lesion location, size, density, uniformity, shape, margin, tumour-lung interface, internal and surrounding malignant signs. Lesion size and density were compared using analysis of variance, lesion size also assessed using ROC curves. Gender of patients, lesion location and CT appearances were compared using χ2-test.
Results
There were no significant differences in gender, lesion location and density with histological invasiveness (P > 0.05). The ROC curve showed that the possibility of invasive lesion was 88.73 % when diameter of lesion was more than 10.5 mm. There was a significant difference between lesion uniformity and histological invasiveness (P = 0.01). There were significant differences in margin, tumour-lung interface, air bronchogram with histological invasiveness ( P = 0.02,P = 0.00,P = 0.048). The correlation index of lesion size and uniformity was r = 0.45 (P = 0.00).
Conclusions
The lesion size and uniformity, tumour-lung interface and the air bronchogram can help predict invasive extent of early stage lung adenocarcinoma with pGGO.
Key Points
•
CT characteristics and pathological classification of pGGO lung adenocarcinoma smaller than 3 cm
•
The optimal cut-off value for discriminating preinvasive from invasive lesions was 10.5 mm
•
Uniformity was significant difference between histological subtypes and correlated with lesion size
•
Tumour margin, tumour-lung interface and air bronchogram showed different between histological types
•
No significant difference in gender, lesion location and density with histological subtypes |
| doi_str_mv | 10.1007/s00330-015-3637-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1702653994</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3771657251</sourcerecordid><originalsourceid>FETCH-LOGICAL-c442t-5de2e90b43d9fbfb8700378a18c410ead750b62f66462f758b1e06937f0f95823</originalsourceid><addsrcrecordid>eNp1kUFvFCEYhonR2G31B3gxJF7qgfoxMMPM0WzUmrR6Wc-EYZhZGgZGYNJs_fOlbjXGpAkBEp7v_YAHoTcULiiA-JAAGAMCtCasYYLcPUMbyllFKLT8OdpAx1oiuo6foNOUbgCgo1y8RCdVLcoQ9Qb92u6w3quodDbRpmx1wsoPeFF5H1yYrFYO23lxZZNt8AmHERsV3QGnrCaDz3f0G1zDe-xWP2E1GB-0itr6MCt8a_MeL2s0eIph9QOZnEolYlHa5sMr9GJULpnXj-sZ-vH50257Sa6-f_m6_XhFNOdVJvVgKtNBz9nQjf3Yt6I8W7SKtppTMGoQNfRNNTYNL7Oo254aaDomRhi7uq3YGTo_5i4x_FxNynK2SRvnlDdhTZIKqJqalX8q6Lv_0JuwRl9u95uiXcNYWyh6pHQMKUUzyiXaWcWDpCAfzMijGVnMyAcz8q7UvH1MXvvZDH8r_qgoQHUEUjnyk4n_tH4y9R79vpli</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1702196338</pqid></control><display><type>article</type><title>CT characteristics and pathological implications of early stage (T1N0M0) lung adenocarcinoma with pure ground-glass opacity</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Jin, Xin ; Zhao, Shao-hong ; Gao, Jie ; Wang, Dian-jun ; Wu, Jian ; Wu, Chong-chong ; Chang, Rui-ping ; Ju, Hai-yue</creator><creatorcontrib>Jin, Xin ; Zhao, Shao-hong ; Gao, Jie ; Wang, Dian-jun ; Wu, Jian ; Wu, Chong-chong ; Chang, Rui-ping ; Ju, Hai-yue</creatorcontrib><description>Objectives
To analyze the CT characteristics and pathological classification of early lung adenocarcinoma (T1N0M0) with pure ground-glass opacity (pGGO).
Methods
Ninety-four lesions with pGGO on CT in 88 patients with T1N0M0 lung adenocarcinoma were selected from January 2010 to December 2012. All lesions were confirmed by pathology. CT appearances were analyzed including lesion location, size, density, uniformity, shape, margin, tumour-lung interface, internal and surrounding malignant signs. Lesion size and density were compared using analysis of variance, lesion size also assessed using ROC curves. Gender of patients, lesion location and CT appearances were compared using χ2-test.
Results
There were no significant differences in gender, lesion location and density with histological invasiveness (P > 0.05). The ROC curve showed that the possibility of invasive lesion was 88.73 % when diameter of lesion was more than 10.5 mm. There was a significant difference between lesion uniformity and histological invasiveness (P = 0.01). There were significant differences in margin, tumour-lung interface, air bronchogram with histological invasiveness ( P = 0.02,P = 0.00,P = 0.048). The correlation index of lesion size and uniformity was r = 0.45 (P = 0.00).
Conclusions
The lesion size and uniformity, tumour-lung interface and the air bronchogram can help predict invasive extent of early stage lung adenocarcinoma with pGGO.
Key Points
•
CT characteristics and pathological classification of pGGO lung adenocarcinoma smaller than 3 cm
•
The optimal cut-off value for discriminating preinvasive from invasive lesions was 10.5 mm
•
Uniformity was significant difference between histological subtypes and correlated with lesion size
•
Tumour margin, tumour-lung interface and air bronchogram showed different between histological types
•
No significant difference in gender, lesion location and density with histological subtypes</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-015-3637-z</identifier><identifier>PMID: 25725775</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adenocarcinoma - diagnostic imaging ; Adenocarcinoma of Lung ; Adult ; Aged ; Chest ; Classification ; Diagnostic Radiology ; Early Detection of Cancer - methods ; Female ; Gender ; Hospitals ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Lung - diagnostic imaging ; Lung cancer ; Lung Neoplasms - diagnostic imaging ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neuroradiology ; Pathology ; Radiology ; ROC Curve ; Thoracic surgery ; Tomography, X-Ray Computed - methods ; Ultrasound ; Variance analysis</subject><ispartof>European radiology, 2015-09, Vol.25 (9), p.2532-2540</ispartof><rights>European Society of Radiology 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-5de2e90b43d9fbfb8700378a18c410ead750b62f66462f758b1e06937f0f95823</citedby><cites>FETCH-LOGICAL-c442t-5de2e90b43d9fbfb8700378a18c410ead750b62f66462f758b1e06937f0f95823</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/s00330-015-3637-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-015-3637-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25725775$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jin, Xin</creatorcontrib><creatorcontrib>Zhao, Shao-hong</creatorcontrib><creatorcontrib>Gao, Jie</creatorcontrib><creatorcontrib>Wang, Dian-jun</creatorcontrib><creatorcontrib>Wu, Jian</creatorcontrib><creatorcontrib>Wu, Chong-chong</creatorcontrib><creatorcontrib>Chang, Rui-ping</creatorcontrib><creatorcontrib>Ju, Hai-yue</creatorcontrib><title>CT characteristics and pathological implications of early stage (T1N0M0) lung adenocarcinoma with pure ground-glass opacity</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To analyze the CT characteristics and pathological classification of early lung adenocarcinoma (T1N0M0) with pure ground-glass opacity (pGGO).
Methods
Ninety-four lesions with pGGO on CT in 88 patients with T1N0M0 lung adenocarcinoma were selected from January 2010 to December 2012. All lesions were confirmed by pathology. CT appearances were analyzed including lesion location, size, density, uniformity, shape, margin, tumour-lung interface, internal and surrounding malignant signs. Lesion size and density were compared using analysis of variance, lesion size also assessed using ROC curves. Gender of patients, lesion location and CT appearances were compared using χ2-test.
Results
There were no significant differences in gender, lesion location and density with histological invasiveness (P > 0.05). The ROC curve showed that the possibility of invasive lesion was 88.73 % when diameter of lesion was more than 10.5 mm. There was a significant difference between lesion uniformity and histological invasiveness (P = 0.01). There were significant differences in margin, tumour-lung interface, air bronchogram with histological invasiveness ( P = 0.02,P = 0.00,P = 0.048). The correlation index of lesion size and uniformity was r = 0.45 (P = 0.00).
Conclusions
The lesion size and uniformity, tumour-lung interface and the air bronchogram can help predict invasive extent of early stage lung adenocarcinoma with pGGO.
Key Points
•
CT characteristics and pathological classification of pGGO lung adenocarcinoma smaller than 3 cm
•
The optimal cut-off value for discriminating preinvasive from invasive lesions was 10.5 mm
•
Uniformity was significant difference between histological subtypes and correlated with lesion size
•
Tumour margin, tumour-lung interface and air bronchogram showed different between histological types
•
No significant difference in gender, lesion location and density with histological subtypes</description><subject>Adenocarcinoma - diagnostic imaging</subject><subject>Adenocarcinoma of Lung</subject><subject>Adult</subject><subject>Aged</subject><subject>Chest</subject><subject>Classification</subject><subject>Diagnostic Radiology</subject><subject>Early Detection of Cancer - methods</subject><subject>Female</subject><subject>Gender</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Lung - diagnostic imaging</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuroradiology</subject><subject>Pathology</subject><subject>Radiology</subject><subject>ROC Curve</subject><subject>Thoracic surgery</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ultrasound</subject><subject>Variance analysis</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kUFvFCEYhonR2G31B3gxJF7qgfoxMMPM0WzUmrR6Wc-EYZhZGgZGYNJs_fOlbjXGpAkBEp7v_YAHoTcULiiA-JAAGAMCtCasYYLcPUMbyllFKLT8OdpAx1oiuo6foNOUbgCgo1y8RCdVLcoQ9Qb92u6w3quodDbRpmx1wsoPeFF5H1yYrFYO23lxZZNt8AmHERsV3QGnrCaDz3f0G1zDe-xWP2E1GB-0itr6MCt8a_MeL2s0eIph9QOZnEolYlHa5sMr9GJULpnXj-sZ-vH50257Sa6-f_m6_XhFNOdVJvVgKtNBz9nQjf3Yt6I8W7SKtppTMGoQNfRNNTYNL7Oo254aaDomRhi7uq3YGTo_5i4x_FxNynK2SRvnlDdhTZIKqJqalX8q6Lv_0JuwRl9u95uiXcNYWyh6pHQMKUUzyiXaWcWDpCAfzMijGVnMyAcz8q7UvH1MXvvZDH8r_qgoQHUEUjnyk4n_tH4y9R79vpli</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Jin, Xin</creator><creator>Zhao, Shao-hong</creator><creator>Gao, Jie</creator><creator>Wang, Dian-jun</creator><creator>Wu, Jian</creator><creator>Wu, Chong-chong</creator><creator>Chang, Rui-ping</creator><creator>Ju, Hai-yue</creator><general>Springer Berlin Heidelberg</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>7X8</scope></search><sort><creationdate>20150901</creationdate><title>CT characteristics and pathological implications of early stage (T1N0M0) lung adenocarcinoma with pure ground-glass opacity</title><author>Jin, Xin ; Zhao, Shao-hong ; Gao, Jie ; Wang, Dian-jun ; Wu, Jian ; Wu, Chong-chong ; Chang, Rui-ping ; Ju, Hai-yue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-5de2e90b43d9fbfb8700378a18c410ead750b62f66462f758b1e06937f0f95823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adenocarcinoma - diagnostic imaging</topic><topic>Adenocarcinoma of Lung</topic><topic>Adult</topic><topic>Aged</topic><topic>Chest</topic><topic>Classification</topic><topic>Diagnostic Radiology</topic><topic>Early Detection of Cancer - methods</topic><topic>Female</topic><topic>Gender</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Lung - diagnostic imaging</topic><topic>Lung cancer</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuroradiology</topic><topic>Pathology</topic><topic>Radiology</topic><topic>ROC Curve</topic><topic>Thoracic surgery</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Ultrasound</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jin, Xin</creatorcontrib><creatorcontrib>Zhao, Shao-hong</creatorcontrib><creatorcontrib>Gao, Jie</creatorcontrib><creatorcontrib>Wang, Dian-jun</creatorcontrib><creatorcontrib>Wu, Jian</creatorcontrib><creatorcontrib>Wu, Chong-chong</creatorcontrib><creatorcontrib>Chang, Rui-ping</creatorcontrib><creatorcontrib>Ju, Hai-yue</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 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>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>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jin, Xin</au><au>Zhao, Shao-hong</au><au>Gao, Jie</au><au>Wang, Dian-jun</au><au>Wu, Jian</au><au>Wu, Chong-chong</au><au>Chang, Rui-ping</au><au>Ju, Hai-yue</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CT characteristics and pathological implications of early stage (T1N0M0) lung adenocarcinoma with pure ground-glass opacity</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2015-09-01</date><risdate>2015</risdate><volume>25</volume><issue>9</issue><spage>2532</spage><epage>2540</epage><pages>2532-2540</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To analyze the CT characteristics and pathological classification of early lung adenocarcinoma (T1N0M0) with pure ground-glass opacity (pGGO).
Methods
Ninety-four lesions with pGGO on CT in 88 patients with T1N0M0 lung adenocarcinoma were selected from January 2010 to December 2012. All lesions were confirmed by pathology. CT appearances were analyzed including lesion location, size, density, uniformity, shape, margin, tumour-lung interface, internal and surrounding malignant signs. Lesion size and density were compared using analysis of variance, lesion size also assessed using ROC curves. Gender of patients, lesion location and CT appearances were compared using χ2-test.
Results
There were no significant differences in gender, lesion location and density with histological invasiveness (P > 0.05). The ROC curve showed that the possibility of invasive lesion was 88.73 % when diameter of lesion was more than 10.5 mm. There was a significant difference between lesion uniformity and histological invasiveness (P = 0.01). There were significant differences in margin, tumour-lung interface, air bronchogram with histological invasiveness ( P = 0.02,P = 0.00,P = 0.048). The correlation index of lesion size and uniformity was r = 0.45 (P = 0.00).
Conclusions
The lesion size and uniformity, tumour-lung interface and the air bronchogram can help predict invasive extent of early stage lung adenocarcinoma with pGGO.
Key Points
•
CT characteristics and pathological classification of pGGO lung adenocarcinoma smaller than 3 cm
•
The optimal cut-off value for discriminating preinvasive from invasive lesions was 10.5 mm
•
Uniformity was significant difference between histological subtypes and correlated with lesion size
•
Tumour margin, tumour-lung interface and air bronchogram showed different between histological types
•
No significant difference in gender, lesion location and density with histological subtypes</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>25725775</pmid><doi>10.1007/s00330-015-3637-z</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0938-7994 |
| ispartof | European radiology, 2015-09, Vol.25 (9), p.2532-2540 |
| issn | 0938-7994 1432-1084 |
| language | eng |
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| source | MEDLINE; SpringerNature Journals |
| subjects | Adenocarcinoma - diagnostic imaging Adenocarcinoma of Lung Adult Aged Chest Classification Diagnostic Radiology Early Detection of Cancer - methods Female Gender Hospitals Humans Imaging Internal Medicine Interventional Radiology Lung - diagnostic imaging Lung cancer Lung Neoplasms - diagnostic imaging Male Medicine Medicine & Public Health Middle Aged Neuroradiology Pathology Radiology ROC Curve Thoracic surgery Tomography, X-Ray Computed - methods Ultrasound Variance analysis |
| title | CT characteristics and pathological implications of early stage (T1N0M0) lung adenocarcinoma with pure ground-glass opacity |
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