Analysis of CT features and quantitative texture analysis in patients with lung adenocarcinoma: a correlation with EGFR mutations and survival rates

Aim To investigate the correlation between conventional computed tomography (CT) features, quantitative texture analysis (QTA), epidermal growth factor receptor (EGFR) mutations, and survival rates in patients with lung adenocarcinoma. Materials and methods Sixty-eight patients were evaluated for co...

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Published in:Clinical radiology 2017-06, Vol.72 (6), p.443-450
Main Authors: Sacconi, B, Anzidei, M, Leonardi, A, Boni, F, Saba, L, Scipione, R, Anile, M, Rengo, M, Longo, F, Bezzi, M, Venuta, F, Napoli, A, Laghi, A, Catalano, C
Format: Article
Language:English
Subjects:
Adenocarcinoma - diagnostic imaging
Adenocarcinoma - genetics
Adenocarcinoma - mortality
Adenocarcinoma of Lung
Aged
ErbB Receptors - genetics
Female
Humans
Lung Neoplasms - diagnostic imaging
Lung Neoplasms - genetics
Lung Neoplasms - mortality
Male
Middle Aged
Mutation
Radiology
Retrospective Studies
Survival Rate
Tomography, X-Ray Computed
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cited_by cdi_FETCH-LOGICAL-c411t-d37b5c8313fd683380aebd8c031055e1477228cefdbd4bacee55e99cfd7ded053
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container_title Clinical radiology
container_volume 72
creator Sacconi, B
Anzidei, M
Leonardi, A
Boni, F
Saba, L
Scipione, R
Anile, M
Rengo, M
Longo, F
Bezzi, M
Venuta, F
Napoli, A
Laghi, A
Catalano, C
description Aim To investigate the correlation between conventional computed tomography (CT) features, quantitative texture analysis (QTA), epidermal growth factor receptor (EGFR) mutations, and survival rates in patients with lung adenocarcinoma. Materials and methods Sixty-eight patients were evaluated for conventional CT features and QTA in this retrospective study. A multiple logistic regression analysis and receiver operating characteristics (ROC) curve analysis versus death and EGFR status was performed for CT features and QTA in order to assess correlation between CT features, QTA, EGFR mutations, and survival rates. A p -value
doi_str_mv 10.1016/j.crad.2017.01.015
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Materials and methods Sixty-eight patients were evaluated for conventional CT features and QTA in this retrospective study. A multiple logistic regression analysis and receiver operating characteristics (ROC) curve analysis versus death and EGFR status was performed for CT features and QTA in order to assess correlation between CT features, QTA, EGFR mutations, and survival rates. A p -value &lt;0.05 was regarded to indicate a statistically significant association. Results An EGFR mutation was identified in 26/68 tumours (38.2%). A negative association was found between EGFR mutation and emphysema ( p &lt; 0.0001) whereas a positive correlation was found with necrosis ( p =0.017), air bronchogram ( p =0.0304), and locoregional infiltration ( p =0.0018). Mean, standard deviation, and skewness were found to have significant correlation with EGFR mutation ( p =0.0001; p =0.0001; p =0.0459; Fig 3). The only parameter correlated with the event death was entropy ( r =0.2708; p =0.0329). Conclusion Both qualitative and quantitative analysis disclosed potential associations between CT features and QTA parameters, EGFR mutations and prognosis; these correlations need to be confirmed in larger studies to be used as imaging biomarkers in the management of patients affected by lung adenocarcinoma.</description><identifier>ISSN: 0009-9260</identifier><identifier>EISSN: 1365-229X</identifier><identifier>DOI: 10.1016/j.crad.2017.01.015</identifier><identifier>PMID: 28258739</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adenocarcinoma - diagnostic imaging ; Adenocarcinoma - genetics ; Adenocarcinoma - mortality ; Adenocarcinoma of Lung ; Aged ; ErbB Receptors - genetics ; Female ; Humans ; Lung Neoplasms - diagnostic imaging ; Lung Neoplasms - genetics ; Lung Neoplasms - mortality ; Male ; Middle Aged ; Mutation ; Radiology ; Retrospective Studies ; Survival Rate ; Tomography, X-Ray Computed</subject><ispartof>Clinical radiology, 2017-06, Vol.72 (6), p.443-450</ispartof><rights>The Royal College of Radiologists</rights><rights>2017 The Royal College of Radiologists</rights><rights>Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-d37b5c8313fd683380aebd8c031055e1477228cefdbd4bacee55e99cfd7ded053</citedby><cites>FETCH-LOGICAL-c411t-d37b5c8313fd683380aebd8c031055e1477228cefdbd4bacee55e99cfd7ded053</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28258739$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sacconi, B</creatorcontrib><creatorcontrib>Anzidei, M</creatorcontrib><creatorcontrib>Leonardi, A</creatorcontrib><creatorcontrib>Boni, F</creatorcontrib><creatorcontrib>Saba, L</creatorcontrib><creatorcontrib>Scipione, R</creatorcontrib><creatorcontrib>Anile, M</creatorcontrib><creatorcontrib>Rengo, M</creatorcontrib><creatorcontrib>Longo, F</creatorcontrib><creatorcontrib>Bezzi, M</creatorcontrib><creatorcontrib>Venuta, F</creatorcontrib><creatorcontrib>Napoli, A</creatorcontrib><creatorcontrib>Laghi, A</creatorcontrib><creatorcontrib>Catalano, C</creatorcontrib><title>Analysis of CT features and quantitative texture analysis in patients with lung adenocarcinoma: a correlation with EGFR mutations and survival rates</title><title>Clinical radiology</title><addtitle>Clin Radiol</addtitle><description>Aim To investigate the correlation between conventional computed tomography (CT) features, quantitative texture analysis (QTA), epidermal growth factor receptor (EGFR) mutations, and survival rates in patients with lung adenocarcinoma. Materials and methods Sixty-eight patients were evaluated for conventional CT features and QTA in this retrospective study. A multiple logistic regression analysis and receiver operating characteristics (ROC) curve analysis versus death and EGFR status was performed for CT features and QTA in order to assess correlation between CT features, QTA, EGFR mutations, and survival rates. A p -value &lt;0.05 was regarded to indicate a statistically significant association. Results An EGFR mutation was identified in 26/68 tumours (38.2%). A negative association was found between EGFR mutation and emphysema ( p &lt; 0.0001) whereas a positive correlation was found with necrosis ( p =0.017), air bronchogram ( p =0.0304), and locoregional infiltration ( p =0.0018). Mean, standard deviation, and skewness were found to have significant correlation with EGFR mutation ( p =0.0001; p =0.0001; p =0.0459; Fig 3). The only parameter correlated with the event death was entropy ( r =0.2708; p =0.0329). Conclusion Both qualitative and quantitative analysis disclosed potential associations between CT features and QTA parameters, EGFR mutations and prognosis; these correlations need to be confirmed in larger studies to be used as imaging biomarkers in the management of patients affected by lung adenocarcinoma.</description><subject>Adenocarcinoma - diagnostic imaging</subject><subject>Adenocarcinoma - genetics</subject><subject>Adenocarcinoma - mortality</subject><subject>Adenocarcinoma of Lung</subject><subject>Aged</subject><subject>ErbB Receptors - genetics</subject><subject>Female</subject><subject>Humans</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Lung Neoplasms - genetics</subject><subject>Lung Neoplasms - mortality</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Survival Rate</subject><subject>Tomography, X-Ray Computed</subject><issn>0009-9260</issn><issn>1365-229X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9Uk2LFDEQDaK44-of8CA5eukxH93T3SLCMuyuwoKgK3gL6aRaM6aT2XzMOv_DH2zaHj14EApC6r16RdUrhJ5TsqaEbl7t1ipIvWaEtmtCSzQP0IryTVMx1n95iFaEkL7q2YacoScx7uZvzerH6Ix1rOla3q_Qzwsn7TGaiP2It7d4BJlygIil0_guS5dMkskcACf4MSMFOBUYh_cFApcivjfpG7bZfcVSg_NKBmWcn-RrLLHyIYAtTO8W3uX11Uc85fQ7tXSKORzMQVocZIL4FD0apY3w7PSeo89Xl7fbd9XNh-v324ubStWUpkrzdmhUxykf9abjvCMSBt0pwilpGqB12zLWKRj1oOtBKoCS7Xs16laDJg0_Ry8X3X3wdxliEpOJCqyVDnyOgnZtXddNz_pCZQtVBR9jgFHsg5lkOApKxOyG2InZDTG7IQgtMeu_OOnnYQL9t-TP-gvhzUKAMuXBQBBRlYUq0CaASkJ783_9t_-UK2ucUdJ-hyPEnc-hmFXmEJEJIj7NBzCfA205ITUn_BcPB7QW</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Sacconi, B</creator><creator>Anzidei, M</creator><creator>Leonardi, A</creator><creator>Boni, F</creator><creator>Saba, L</creator><creator>Scipione, R</creator><creator>Anile, M</creator><creator>Rengo, M</creator><creator>Longo, F</creator><creator>Bezzi, M</creator><creator>Venuta, F</creator><creator>Napoli, A</creator><creator>Laghi, A</creator><creator>Catalano, C</creator><general>Elsevier Ltd</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>7X8</scope></search><sort><creationdate>20170601</creationdate><title>Analysis of CT features and quantitative texture analysis in patients with lung adenocarcinoma: a correlation with EGFR mutations and survival rates</title><author>Sacconi, B ; Anzidei, M ; Leonardi, A ; Boni, F ; Saba, L ; Scipione, R ; Anile, M ; Rengo, M ; Longo, F ; Bezzi, M ; Venuta, F ; Napoli, A ; Laghi, A ; Catalano, C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-d37b5c8313fd683380aebd8c031055e1477228cefdbd4bacee55e99cfd7ded053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adenocarcinoma - diagnostic imaging</topic><topic>Adenocarcinoma - genetics</topic><topic>Adenocarcinoma - mortality</topic><topic>Adenocarcinoma of Lung</topic><topic>Aged</topic><topic>ErbB Receptors - genetics</topic><topic>Female</topic><topic>Humans</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Lung Neoplasms - genetics</topic><topic>Lung Neoplasms - mortality</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mutation</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Survival Rate</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sacconi, B</creatorcontrib><creatorcontrib>Anzidei, M</creatorcontrib><creatorcontrib>Leonardi, A</creatorcontrib><creatorcontrib>Boni, F</creatorcontrib><creatorcontrib>Saba, L</creatorcontrib><creatorcontrib>Scipione, R</creatorcontrib><creatorcontrib>Anile, M</creatorcontrib><creatorcontrib>Rengo, M</creatorcontrib><creatorcontrib>Longo, F</creatorcontrib><creatorcontrib>Bezzi, M</creatorcontrib><creatorcontrib>Venuta, F</creatorcontrib><creatorcontrib>Napoli, A</creatorcontrib><creatorcontrib>Laghi, A</creatorcontrib><creatorcontrib>Catalano, C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sacconi, B</au><au>Anzidei, M</au><au>Leonardi, A</au><au>Boni, F</au><au>Saba, L</au><au>Scipione, R</au><au>Anile, M</au><au>Rengo, M</au><au>Longo, F</au><au>Bezzi, M</au><au>Venuta, F</au><au>Napoli, A</au><au>Laghi, A</au><au>Catalano, C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of CT features and quantitative texture analysis in patients with lung adenocarcinoma: a correlation with EGFR mutations and survival rates</atitle><jtitle>Clinical radiology</jtitle><addtitle>Clin Radiol</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>72</volume><issue>6</issue><spage>443</spage><epage>450</epage><pages>443-450</pages><issn>0009-9260</issn><eissn>1365-229X</eissn><abstract>Aim To investigate the correlation between conventional computed tomography (CT) features, quantitative texture analysis (QTA), epidermal growth factor receptor (EGFR) mutations, and survival rates in patients with lung adenocarcinoma. Materials and methods Sixty-eight patients were evaluated for conventional CT features and QTA in this retrospective study. A multiple logistic regression analysis and receiver operating characteristics (ROC) curve analysis versus death and EGFR status was performed for CT features and QTA in order to assess correlation between CT features, QTA, EGFR mutations, and survival rates. A p -value &lt;0.05 was regarded to indicate a statistically significant association. Results An EGFR mutation was identified in 26/68 tumours (38.2%). A negative association was found between EGFR mutation and emphysema ( p &lt; 0.0001) whereas a positive correlation was found with necrosis ( p =0.017), air bronchogram ( p =0.0304), and locoregional infiltration ( p =0.0018). Mean, standard deviation, and skewness were found to have significant correlation with EGFR mutation ( p =0.0001; p =0.0001; p =0.0459; Fig 3). The only parameter correlated with the event death was entropy ( r =0.2708; p =0.0329). Conclusion Both qualitative and quantitative analysis disclosed potential associations between CT features and QTA parameters, EGFR mutations and prognosis; these correlations need to be confirmed in larger studies to be used as imaging biomarkers in the management of patients affected by lung adenocarcinoma.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>28258739</pmid><doi>10.1016/j.crad.2017.01.015</doi><tpages>8</tpages></addata></record>
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subjects Adenocarcinoma - diagnostic imaging
Adenocarcinoma - genetics
Adenocarcinoma - mortality
Adenocarcinoma of Lung
Aged
ErbB Receptors - genetics
Female
Humans
Lung Neoplasms - diagnostic imaging
Lung Neoplasms - genetics
Lung Neoplasms - mortality
Male
Middle Aged
Mutation
Radiology
Retrospective Studies
Survival Rate
Tomography, X-Ray Computed
title Analysis of CT features and quantitative texture analysis in patients with lung adenocarcinoma: a correlation with EGFR mutations and survival rates
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