Diagnosis of the invasiveness of GGO
BackgroundTo explore the diagnostic method in assessing the malignancy of pulmonary adenocarcinoma characterized by ground glass opacities (GGO) on computed tomography (CT).MethodsPreoperative CT data for preinvasive and invasive lung adenocarcinomas were analyzed retrospectively. GGO lesions that w...
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description | BackgroundTo explore the diagnostic method in assessing the malignancy of pulmonary adenocarcinoma characterized by ground glass opacities (GGO) on computed tomography (CT).MethodsPreoperative CT data for preinvasive and invasive lung adenocarcinomas were analyzed retrospectively. GGO lesions that were detected on lung windows but absent using the mediastinal window were subject to adjustment of the window width, which was reduced with the fixed interval of 100 HU until the lesions were no longer evident, with a fixed mediastinal window level of 40 HU. The shape, smoking habits, size of the lesion on the lung window, and window width at which lesions disappeared were compared and receiver operating characteristic curves were used to determine the optimal cut‐off of the lesion size and window width to differentiate between these invasive and preinvasive lesions.ResultsOf the 209 lung adenocarcinomas, 102 were preinvasive (25 atypical adenomatous hyperplasia and 77 adenocarcinoma in situ), while 107 were invasive (78 minimally invasive adenocarcinoma and 29 invasive adenocarcinoma). The shape, lesion size, and window width at which lesions were no longer evident differed significantly between the two groups (P < 0.05). The size of 8.9 mm and a window width of 1250 HU were the optimal cut‐off to differentiate between preinvasive and invasive lesions.ConclusionThe shape, size of the lesion, and window width on high‐resolution CT may be useful in assessing the invasiveness of lung adenocarcinoma that manifests as GGO. Irregular lesions that disappear at window width 8.9 mm are more likely to be invasive. |
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GGO lesions that were detected on lung windows but absent using the mediastinal window were subject to adjustment of the window width, which was reduced with the fixed interval of 100 HU until the lesions were no longer evident, with a fixed mediastinal window level of 40 HU. The shape, smoking habits, size of the lesion on the lung window, and window width at which lesions disappeared were compared and receiver operating characteristic curves were used to determine the optimal cut‐off of the lesion size and window width to differentiate between these invasive and preinvasive lesions.ResultsOf the 209 lung adenocarcinomas, 102 were preinvasive (25 atypical adenomatous hyperplasia and 77 adenocarcinoma in situ), while 107 were invasive (78 minimally invasive adenocarcinoma and 29 invasive adenocarcinoma). The shape, lesion size, and window width at which lesions were no longer evident differed significantly between the two groups (P < 0.05). The size of 8.9 mm and a window width of 1250 HU were the optimal cut‐off to differentiate between preinvasive and invasive lesions.ConclusionThe shape, size of the lesion, and window width on high‐resolution CT may be useful in assessing the invasiveness of lung adenocarcinoma that manifests as GGO. Irregular lesions that disappear at window width <1250 HU, with a diameter of > 8.9 mm are more likely to be invasive.</description><identifier>ISSN: 1759-7706</identifier><identifier>EISSN: 1759-7714</identifier><identifier>DOI: 10.1111/1759-7714.12269</identifier><language>eng</language><publisher>Tianjin: John Wiley & Sons, Inc</publisher><subject>Lung cancer ; Patients ; Software ; Tomography</subject><ispartof>Thoracic cancer, 2016-01, Vol.7 (1), p.129-135</ispartof><rights>2016. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids></links><search><creatorcontrib>Mao, Haixia</creatorcontrib><creatorcontrib>Labh, Kanchan</creatorcontrib><creatorcontrib>Han, Fushi</creatorcontrib><creatorcontrib>Sen, Jiang</creatorcontrib><creatorcontrib>Yang, Yang</creatorcontrib><creatorcontrib>Sun, Xiwen</creatorcontrib><title>Diagnosis of the invasiveness of GGO</title><title>Thoracic cancer</title><description>BackgroundTo explore the diagnostic method in assessing the malignancy of pulmonary adenocarcinoma characterized by ground glass opacities (GGO) on computed tomography (CT).MethodsPreoperative CT data for preinvasive and invasive lung adenocarcinomas were analyzed retrospectively. GGO lesions that were detected on lung windows but absent using the mediastinal window were subject to adjustment of the window width, which was reduced with the fixed interval of 100 HU until the lesions were no longer evident, with a fixed mediastinal window level of 40 HU. The shape, smoking habits, size of the lesion on the lung window, and window width at which lesions disappeared were compared and receiver operating characteristic curves were used to determine the optimal cut‐off of the lesion size and window width to differentiate between these invasive and preinvasive lesions.ResultsOf the 209 lung adenocarcinomas, 102 were preinvasive (25 atypical adenomatous hyperplasia and 77 adenocarcinoma in situ), while 107 were invasive (78 minimally invasive adenocarcinoma and 29 invasive adenocarcinoma). The shape, lesion size, and window width at which lesions were no longer evident differed significantly between the two groups (P < 0.05). The size of 8.9 mm and a window width of 1250 HU were the optimal cut‐off to differentiate between preinvasive and invasive lesions.ConclusionThe shape, size of the lesion, and window width on high‐resolution CT may be useful in assessing the invasiveness of lung adenocarcinoma that manifests as GGO. Irregular lesions that disappear at window width <1250 HU, with a diameter of > 8.9 mm are more likely to be invasive.</description><subject>Lung cancer</subject><subject>Patients</subject><subject>Software</subject><subject>Tomography</subject><issn>1759-7706</issn><issn>1759-7714</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpjYBA3NNAzBAJ9Q3NTS11zc0MTPUMjIzNLJgZOuAgLnG1gxsHAW1ycZQAExhaWBkamnAwqLpmJ6Xn5xZnFCvlpCiUZqQqZeWWJxZllqXmpxWAxd3d_HgbWtMSc4lReKM3NoOzmGuLsoVtQlF9YmlpcEp-VX1qUB5SKNzKyNDA3MzQ0NzcmThUALSM0tg</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Mao, Haixia</creator><creator>Labh, Kanchan</creator><creator>Han, Fushi</creator><creator>Sen, Jiang</creator><creator>Yang, Yang</creator><creator>Sun, Xiwen</creator><general>John Wiley & Sons, Inc</general><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20160101</creationdate><title>Diagnosis of the invasiveness of GGO</title><author>Mao, Haixia ; Labh, Kanchan ; Han, Fushi ; Sen, Jiang ; Yang, Yang ; Sun, Xiwen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_22907611773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Lung cancer</topic><topic>Patients</topic><topic>Software</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mao, Haixia</creatorcontrib><creatorcontrib>Labh, Kanchan</creatorcontrib><creatorcontrib>Han, Fushi</creatorcontrib><creatorcontrib>Sen, Jiang</creatorcontrib><creatorcontrib>Yang, Yang</creatorcontrib><creatorcontrib>Sun, Xiwen</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</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 UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Thoracic cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mao, Haixia</au><au>Labh, Kanchan</au><au>Han, Fushi</au><au>Sen, Jiang</au><au>Yang, Yang</au><au>Sun, Xiwen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnosis of the invasiveness of GGO</atitle><jtitle>Thoracic cancer</jtitle><date>2016-01-01</date><risdate>2016</risdate><volume>7</volume><issue>1</issue><spage>129</spage><epage>135</epage><pages>129-135</pages><issn>1759-7706</issn><eissn>1759-7714</eissn><abstract>BackgroundTo explore the diagnostic method in assessing the malignancy of pulmonary adenocarcinoma characterized by ground glass opacities (GGO) on computed tomography (CT).MethodsPreoperative CT data for preinvasive and invasive lung adenocarcinomas were analyzed retrospectively. GGO lesions that were detected on lung windows but absent using the mediastinal window were subject to adjustment of the window width, which was reduced with the fixed interval of 100 HU until the lesions were no longer evident, with a fixed mediastinal window level of 40 HU. The shape, smoking habits, size of the lesion on the lung window, and window width at which lesions disappeared were compared and receiver operating characteristic curves were used to determine the optimal cut‐off of the lesion size and window width to differentiate between these invasive and preinvasive lesions.ResultsOf the 209 lung adenocarcinomas, 102 were preinvasive (25 atypical adenomatous hyperplasia and 77 adenocarcinoma in situ), while 107 were invasive (78 minimally invasive adenocarcinoma and 29 invasive adenocarcinoma). The shape, lesion size, and window width at which lesions were no longer evident differed significantly between the two groups (P < 0.05). The size of 8.9 mm and a window width of 1250 HU were the optimal cut‐off to differentiate between preinvasive and invasive lesions.ConclusionThe shape, size of the lesion, and window width on high‐resolution CT may be useful in assessing the invasiveness of lung adenocarcinoma that manifests as GGO. Irregular lesions that disappear at window width <1250 HU, with a diameter of > 8.9 mm are more likely to be invasive.</abstract><cop>Tianjin</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1111/1759-7714.12269</doi><oa>free_for_read</oa></addata></record> |
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subjects | Lung cancer Patients Software Tomography |
title | Diagnosis of the invasiveness of GGO |
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