Intravoxel incoherent motion diffusion-weighted MR imaging in assessing and characterizing solitary pulmonary lesions
This study aimed to investigate the potential of intravoxel incoherent motion (IVIM) diffusion-weighted MR imaging in assessing solitary pulmonary lesions (SPLs). Sixty-two patients with pathologically confirmed SPLs, including 51 and 11 cases of malignant and benign lesions, respectively, were asse...
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Veröffentlicht in: | Scientific reports 2017-02, Vol.7 (1), p.43257-43257, Article 43257 |
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creator | Wan, Qi Deng, Ying-Shi Zhou, Jia-Xuan Yu, Yu-Dong Bao, Ying-Ying Lei, Qiang Chen, Hou-Jin Peng, Ya-Hui Mei, Ying-Jie Zeng, Qing-Si Li, Xin-Chun |
description | This study aimed to investigate the potential of intravoxel incoherent motion (IVIM) diffusion-weighted MR imaging in assessing solitary pulmonary lesions (SPLs). Sixty-two patients with pathologically confirmed SPLs, including 51 and 11 cases of malignant and benign lesions, respectively, were assessed. Diffusion weighted imaging (DWI) with 13 b values was used to derive apparent diffusion coefficient (ADC) and IVIM parameters, including true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f). Our results showed that, there was an excellent inter-observer agreement on the measurements of D and ADC between observers (inter-class correlation coefficient, ICC = 0.902 and 0.884, respectively). Meanwhile, f and D* showed good and substantial reproducibility (ICC = 0.787 and 0.623, respectively). D and ADC of malignant lesions were significantly lower than those of benign lesions (both P ≤ 0.001), while similar values were obtained in both groups for D* and f (both P > 0.05). In receiver operating characteristic (ROC) analysis,
D
showed the highest area under curve (AUC) for distinguishing malignant from benign lesions, followed by ADC. Accompanying signs of SPLs have specific features on IVIM maps. In conclusion, IVIM provides functional information in characterizing SPLs which is helpful to differential diagnosis. D and ADC have a significantly higher diagnostic value than f and D*. |
doi_str_mv | 10.1038/srep43257 |
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D
showed the highest area under curve (AUC) for distinguishing malignant from benign lesions, followed by ADC. Accompanying signs of SPLs have specific features on IVIM maps. In conclusion, IVIM provides functional information in characterizing SPLs which is helpful to differential diagnosis. D and ADC have a significantly higher diagnostic value than f and D*.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep43257</identifier><identifier>PMID: 28225064</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>59 ; 59/36 ; 59/57 ; 692/4028/67/1612 ; 692/4028/67/2321 ; Benign ; Differential diagnosis ; Diffusion coefficient ; Humanities and Social Sciences ; Lungs ; Magnetic resonance imaging ; Mammography ; multidisciplinary ; Perfusion ; Pulmonary lesions ; Science</subject><ispartof>Scientific reports, 2017-02, Vol.7 (1), p.43257-43257, Article 43257</ispartof><rights>The Author(s) 2017</rights><rights>Copyright Nature Publishing Group Feb 2017</rights><rights>Copyright © 2017, The Author(s) 2017 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-9450bdebf8670fe81934d1e55191bd92b1df58930eb023b187e577b221d52de73</citedby><cites>FETCH-LOGICAL-c504t-9450bdebf8670fe81934d1e55191bd92b1df58930eb023b187e577b221d52de73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320549/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320549/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28225064$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wan, Qi</creatorcontrib><creatorcontrib>Deng, Ying-Shi</creatorcontrib><creatorcontrib>Zhou, Jia-Xuan</creatorcontrib><creatorcontrib>Yu, Yu-Dong</creatorcontrib><creatorcontrib>Bao, Ying-Ying</creatorcontrib><creatorcontrib>Lei, Qiang</creatorcontrib><creatorcontrib>Chen, Hou-Jin</creatorcontrib><creatorcontrib>Peng, Ya-Hui</creatorcontrib><creatorcontrib>Mei, Ying-Jie</creatorcontrib><creatorcontrib>Zeng, Qing-Si</creatorcontrib><creatorcontrib>Li, Xin-Chun</creatorcontrib><title>Intravoxel incoherent motion diffusion-weighted MR imaging in assessing and characterizing solitary pulmonary lesions</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>This study aimed to investigate the potential of intravoxel incoherent motion (IVIM) diffusion-weighted MR imaging in assessing solitary pulmonary lesions (SPLs). Sixty-two patients with pathologically confirmed SPLs, including 51 and 11 cases of malignant and benign lesions, respectively, were assessed. Diffusion weighted imaging (DWI) with 13 b values was used to derive apparent diffusion coefficient (ADC) and IVIM parameters, including true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f). Our results showed that, there was an excellent inter-observer agreement on the measurements of D and ADC between observers (inter-class correlation coefficient, ICC = 0.902 and 0.884, respectively). Meanwhile, f and D* showed good and substantial reproducibility (ICC = 0.787 and 0.623, respectively). D and ADC of malignant lesions were significantly lower than those of benign lesions (both P ≤ 0.001), while similar values were obtained in both groups for D* and f (both P > 0.05). In receiver operating characteristic (ROC) analysis,
D
showed the highest area under curve (AUC) for distinguishing malignant from benign lesions, followed by ADC. Accompanying signs of SPLs have specific features on IVIM maps. In conclusion, IVIM provides functional information in characterizing SPLs which is helpful to differential diagnosis. D and ADC have a significantly higher diagnostic value than f and D*.</description><subject>59</subject><subject>59/36</subject><subject>59/57</subject><subject>692/4028/67/1612</subject><subject>692/4028/67/2321</subject><subject>Benign</subject><subject>Differential diagnosis</subject><subject>Diffusion coefficient</subject><subject>Humanities and Social Sciences</subject><subject>Lungs</subject><subject>Magnetic resonance imaging</subject><subject>Mammography</subject><subject>multidisciplinary</subject><subject>Perfusion</subject><subject>Pulmonary lesions</subject><subject>Science</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNplkV9LHDEUxUNp6Yr60C8gA75oYTR_ncmLIItVwSKU9jlkJndms8wkazKjrp_eDGuXrc1LbnJ_nHMvB6FvBJ8RzMrzGGDFGRXFJ7RHMRc5ZZR-3qln6DDGJU5HUMmJ_IpmtKRU4Au-h8Y7NwT95F-gy6yr_QICuCHr_WC9y4xtmjGmKn8G2y4GMNnPX5ntdWtdm_hMxwgxTg_tTFYvdND1AMG-Tl_Rd3bQYZ2txq73bqo6mNTiAfrS6C7C4fu9j_78uP49v83vH27u5lf3eS0wH3LJBa4MVE15UeAGSiIZNwSEIJJURtKKmEaUkmGoMGUVKQsQRVFRSoygBgq2jy43uqux6sHUMC3bqVVIK4S18tqqfzvOLlTrn5RgFAsuk8DJu0DwjyPEQfU21tB12oEfo0qWWJYlKSav4w_o0o_BpfUUkZgUlDMsEnW6oergY4qu2Q5DsJryVNs8E3u0O_2W_JteAr5vgJharoWwY_mf2hvYl6yn</recordid><startdate>20170222</startdate><enddate>20170222</enddate><creator>Wan, Qi</creator><creator>Deng, Ying-Shi</creator><creator>Zhou, Jia-Xuan</creator><creator>Yu, Yu-Dong</creator><creator>Bao, Ying-Ying</creator><creator>Lei, Qiang</creator><creator>Chen, Hou-Jin</creator><creator>Peng, Ya-Hui</creator><creator>Mei, Ying-Jie</creator><creator>Zeng, Qing-Si</creator><creator>Li, Xin-Chun</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170222</creationdate><title>Intravoxel incoherent motion diffusion-weighted MR imaging in assessing and characterizing solitary pulmonary lesions</title><author>Wan, Qi ; Deng, Ying-Shi ; Zhou, Jia-Xuan ; Yu, Yu-Dong ; Bao, Ying-Ying ; Lei, Qiang ; Chen, Hou-Jin ; Peng, Ya-Hui ; Mei, Ying-Jie ; Zeng, Qing-Si ; Li, Xin-Chun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-9450bdebf8670fe81934d1e55191bd92b1df58930eb023b187e577b221d52de73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>59</topic><topic>59/36</topic><topic>59/57</topic><topic>692/4028/67/1612</topic><topic>692/4028/67/2321</topic><topic>Benign</topic><topic>Differential diagnosis</topic><topic>Diffusion coefficient</topic><topic>Humanities and Social Sciences</topic><topic>Lungs</topic><topic>Magnetic resonance imaging</topic><topic>Mammography</topic><topic>multidisciplinary</topic><topic>Perfusion</topic><topic>Pulmonary lesions</topic><topic>Science</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wan, Qi</creatorcontrib><creatorcontrib>Deng, Ying-Shi</creatorcontrib><creatorcontrib>Zhou, Jia-Xuan</creatorcontrib><creatorcontrib>Yu, Yu-Dong</creatorcontrib><creatorcontrib>Bao, Ying-Ying</creatorcontrib><creatorcontrib>Lei, Qiang</creatorcontrib><creatorcontrib>Chen, Hou-Jin</creatorcontrib><creatorcontrib>Peng, Ya-Hui</creatorcontrib><creatorcontrib>Mei, Ying-Jie</creatorcontrib><creatorcontrib>Zeng, Qing-Si</creatorcontrib><creatorcontrib>Li, Xin-Chun</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech 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>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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 Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</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><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wan, Qi</au><au>Deng, Ying-Shi</au><au>Zhou, Jia-Xuan</au><au>Yu, Yu-Dong</au><au>Bao, Ying-Ying</au><au>Lei, Qiang</au><au>Chen, Hou-Jin</au><au>Peng, Ya-Hui</au><au>Mei, Ying-Jie</au><au>Zeng, Qing-Si</au><au>Li, Xin-Chun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intravoxel incoherent motion diffusion-weighted MR imaging in assessing and characterizing solitary pulmonary lesions</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2017-02-22</date><risdate>2017</risdate><volume>7</volume><issue>1</issue><spage>43257</spage><epage>43257</epage><pages>43257-43257</pages><artnum>43257</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>This study aimed to investigate the potential of intravoxel incoherent motion (IVIM) diffusion-weighted MR imaging in assessing solitary pulmonary lesions (SPLs). Sixty-two patients with pathologically confirmed SPLs, including 51 and 11 cases of malignant and benign lesions, respectively, were assessed. Diffusion weighted imaging (DWI) with 13 b values was used to derive apparent diffusion coefficient (ADC) and IVIM parameters, including true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f). Our results showed that, there was an excellent inter-observer agreement on the measurements of D and ADC between observers (inter-class correlation coefficient, ICC = 0.902 and 0.884, respectively). Meanwhile, f and D* showed good and substantial reproducibility (ICC = 0.787 and 0.623, respectively). D and ADC of malignant lesions were significantly lower than those of benign lesions (both P ≤ 0.001), while similar values were obtained in both groups for D* and f (both P > 0.05). In receiver operating characteristic (ROC) analysis,
D
showed the highest area under curve (AUC) for distinguishing malignant from benign lesions, followed by ADC. Accompanying signs of SPLs have specific features on IVIM maps. In conclusion, IVIM provides functional information in characterizing SPLs which is helpful to differential diagnosis. D and ADC have a significantly higher diagnostic value than f and D*.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>28225064</pmid><doi>10.1038/srep43257</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 59 59/36 59/57 692/4028/67/1612 692/4028/67/2321 Benign Differential diagnosis Diffusion coefficient Humanities and Social Sciences Lungs Magnetic resonance imaging Mammography multidisciplinary Perfusion Pulmonary lesions Science |
title | Intravoxel incoherent motion diffusion-weighted MR imaging in assessing and characterizing solitary pulmonary lesions |
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