Value of high-resolution ultrasound in detecting a pneumothorax
This study was designed to compare the detectability of high-resolution ultrasound (HRUS) and bedside chest radiography (CR) for a pneumothorax. During the last 14 months, 97 consecutive patients who were admitted to our institute to undergo a transthoracic needle aspiration and biopsy (TNAB) of the...
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| Veröffentlicht in: | European radiology 2005-05, Vol.15 (5), p.930-935 |
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| creator | Chung, Myung Jin Goo, Jin Mo Im, Jung-Gi Cho, Jae Min Cho, Sung Bum Kim, Seog Joon |
| description | This study was designed to compare the detectability of high-resolution ultrasound (HRUS) and bedside chest radiography (CR) for a pneumothorax. During the last 14 months, 97 consecutive patients who were admitted to our institute to undergo a transthoracic needle aspiration and biopsy (TNAB) of the lung were included. Both HRUS and CR were performed immediately after the TNAB procedure. The HRUS images were saved in sequence using the cine-review mode and displayed as an animation on a workstation. Four radiologists independently analyzed both HRUS images and a soft copy of the CR on a diagnostic monitor and identified the pneumothorax. With CT as the reference standard, statistical parameters were calculated. From 97 patients, 35 pneumothorax cases were found on CT after the TNAB. The sensitivities in detecting the pneumothorax were 80 and 47% in HRUS and CR, respectively. The specificities were 94 and 94%. The diagnostic accuracies were 89 and 77%. The inter-observer agreement was excellent (kappa=0.85) in the HRUS images and moderate (kappa=0.49) in the CR. The results of this study suggest that HRUS is a more sensitive and confident method for diagnosing a pneumothorax when compared to bedside chest radiography. |
| doi_str_mv | 10.1007/s00330-004-2518-7 |
| format | Article |
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During the last 14 months, 97 consecutive patients who were admitted to our institute to undergo a transthoracic needle aspiration and biopsy (TNAB) of the lung were included. Both HRUS and CR were performed immediately after the TNAB procedure. The HRUS images were saved in sequence using the cine-review mode and displayed as an animation on a workstation. Four radiologists independently analyzed both HRUS images and a soft copy of the CR on a diagnostic monitor and identified the pneumothorax. With CT as the reference standard, statistical parameters were calculated. From 97 patients, 35 pneumothorax cases were found on CT after the TNAB. The sensitivities in detecting the pneumothorax were 80 and 47% in HRUS and CR, respectively. The specificities were 94 and 94%. The diagnostic accuracies were 89 and 77%. The inter-observer agreement was excellent (kappa=0.85) in the HRUS images and moderate (kappa=0.49) in the CR. The results of this study suggest that HRUS is a more sensitive and confident method for diagnosing a pneumothorax when compared to bedside chest radiography.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-004-2518-7</identifier><identifier>PMID: 15609058</identifier><language>eng</language><publisher>Germany: Springer Nature B.V</publisher><subject>Animation ; Biopsy ; Biopsy, Needle ; Chest ; Computed tomography ; Diagnostic systems ; Female ; High resolution ; Humans ; Image Processing, Computer-Assisted ; Male ; Medical imaging ; Middle Aged ; Parameter identification ; Parameter sensitivity ; Pneumothorax ; Pneumothorax - diagnostic imaging ; Predictive Value of Tests ; Radiography ; Radiography, Thoracic ; Reproducibility of Results ; Sensitivity and Specificity ; Statistics, Nonparametric ; Ultrasonic imaging ; Ultrasonography ; Ultrasound</subject><ispartof>European radiology, 2005-05, Vol.15 (5), p.930-935</ispartof><rights>Springer-Verlag 2004.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c327t-ca9411b6b4bdbaa1d13a5085a46c69de30d96ed084e60b6bc489b6223fdde6af3</citedby><cites>FETCH-LOGICAL-c327t-ca9411b6b4bdbaa1d13a5085a46c69de30d96ed084e60b6bc489b6223fdde6af3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15609058$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chung, Myung Jin</creatorcontrib><creatorcontrib>Goo, Jin Mo</creatorcontrib><creatorcontrib>Im, Jung-Gi</creatorcontrib><creatorcontrib>Cho, Jae Min</creatorcontrib><creatorcontrib>Cho, Sung Bum</creatorcontrib><creatorcontrib>Kim, Seog Joon</creatorcontrib><title>Value of high-resolution ultrasound in detecting a pneumothorax</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><description>This study was designed to compare the detectability of high-resolution ultrasound (HRUS) and bedside chest radiography (CR) for a pneumothorax. During the last 14 months, 97 consecutive patients who were admitted to our institute to undergo a transthoracic needle aspiration and biopsy (TNAB) of the lung were included. Both HRUS and CR were performed immediately after the TNAB procedure. The HRUS images were saved in sequence using the cine-review mode and displayed as an animation on a workstation. Four radiologists independently analyzed both HRUS images and a soft copy of the CR on a diagnostic monitor and identified the pneumothorax. With CT as the reference standard, statistical parameters were calculated. From 97 patients, 35 pneumothorax cases were found on CT after the TNAB. The sensitivities in detecting the pneumothorax were 80 and 47% in HRUS and CR, respectively. The specificities were 94 and 94%. The diagnostic accuracies were 89 and 77%. The inter-observer agreement was excellent (kappa=0.85) in the HRUS images and moderate (kappa=0.49) in the CR. The results of this study suggest that HRUS is a more sensitive and confident method for diagnosing a pneumothorax when compared to bedside chest radiography.</description><subject>Animation</subject><subject>Biopsy</subject><subject>Biopsy, Needle</subject><subject>Chest</subject><subject>Computed tomography</subject><subject>Diagnostic systems</subject><subject>Female</subject><subject>High resolution</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Parameter identification</subject><subject>Parameter sensitivity</subject><subject>Pneumothorax</subject><subject>Pneumothorax - diagnostic imaging</subject><subject>Predictive Value of Tests</subject><subject>Radiography</subject><subject>Radiography, Thoracic</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Statistics, Nonparametric</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</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>eNpdkE1LxDAURYMozjj6A9xIQXAXfWnSpFmJDH7BgBt1G9ImnXZomzFpQP-9GWZAcPXgce7lchC6JHBLAMRdAKAUMADDeUFKLI7QnDCaYwIlO0ZzkDQ9pWQzdBbCBgAkYeIUzUjBQUJRztH9p-6jzVyTtd26xd4G18epc2MW-8nr4OJosm7MjJ1sPXXjOtPZdrRxcFPrvP4-RyeN7oO9ONwF-nh6fF--4NXb8-vyYYVrmosJ11oyQipescpUWhNDqC6gLDTjNZfGUjCSW5NmWw4Jq1kpK57ntDHGct3QBbrZ9269-4o2TGroQm37Xo_WxaC4EKVIhQm8_gduXPRj2qYoyXnJCyplosieqr0LwdtGbX03aP-jCKidW7V3q5JbtXOrRMpcHZpjNVjzlzjIpL-sDHSX</recordid><startdate>200505</startdate><enddate>200505</enddate><creator>Chung, Myung Jin</creator><creator>Goo, Jin Mo</creator><creator>Im, Jung-Gi</creator><creator>Cho, Jae Min</creator><creator>Cho, Sung Bum</creator><creator>Kim, Seog Joon</creator><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>PRINS</scope><scope>7X8</scope></search><sort><creationdate>200505</creationdate><title>Value of high-resolution ultrasound in detecting a pneumothorax</title><author>Chung, Myung Jin ; Goo, Jin Mo ; Im, Jung-Gi ; Cho, Jae Min ; Cho, Sung Bum ; Kim, Seog Joon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-ca9411b6b4bdbaa1d13a5085a46c69de30d96ed084e60b6bc489b6223fdde6af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Animation</topic><topic>Biopsy</topic><topic>Biopsy, Needle</topic><topic>Chest</topic><topic>Computed tomography</topic><topic>Diagnostic systems</topic><topic>Female</topic><topic>High resolution</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Parameter identification</topic><topic>Parameter sensitivity</topic><topic>Pneumothorax</topic><topic>Pneumothorax - diagnostic imaging</topic><topic>Predictive Value of Tests</topic><topic>Radiography</topic><topic>Radiography, Thoracic</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Statistics, Nonparametric</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonography</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chung, Myung Jin</creatorcontrib><creatorcontrib>Goo, Jin Mo</creatorcontrib><creatorcontrib>Im, Jung-Gi</creatorcontrib><creatorcontrib>Cho, Jae Min</creatorcontrib><creatorcontrib>Cho, Sung Bum</creatorcontrib><creatorcontrib>Kim, Seog Joon</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>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chung, Myung Jin</au><au>Goo, Jin Mo</au><au>Im, Jung-Gi</au><au>Cho, Jae Min</au><au>Cho, Sung Bum</au><au>Kim, Seog Joon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Value of high-resolution ultrasound in detecting a pneumothorax</atitle><jtitle>European radiology</jtitle><addtitle>Eur Radiol</addtitle><date>2005-05</date><risdate>2005</risdate><volume>15</volume><issue>5</issue><spage>930</spage><epage>935</epage><pages>930-935</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>This study was designed to compare the detectability of high-resolution ultrasound (HRUS) and bedside chest radiography (CR) for a pneumothorax. During the last 14 months, 97 consecutive patients who were admitted to our institute to undergo a transthoracic needle aspiration and biopsy (TNAB) of the lung were included. Both HRUS and CR were performed immediately after the TNAB procedure. The HRUS images were saved in sequence using the cine-review mode and displayed as an animation on a workstation. Four radiologists independently analyzed both HRUS images and a soft copy of the CR on a diagnostic monitor and identified the pneumothorax. With CT as the reference standard, statistical parameters were calculated. From 97 patients, 35 pneumothorax cases were found on CT after the TNAB. The sensitivities in detecting the pneumothorax were 80 and 47% in HRUS and CR, respectively. The specificities were 94 and 94%. The diagnostic accuracies were 89 and 77%. The inter-observer agreement was excellent (kappa=0.85) in the HRUS images and moderate (kappa=0.49) in the CR. The results of this study suggest that HRUS is a more sensitive and confident method for diagnosing a pneumothorax when compared to bedside chest radiography.</abstract><cop>Germany</cop><pub>Springer Nature B.V</pub><pmid>15609058</pmid><doi>10.1007/s00330-004-2518-7</doi><tpages>6</tpages></addata></record> |
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| subjects | Animation Biopsy Biopsy, Needle Chest Computed tomography Diagnostic systems Female High resolution Humans Image Processing, Computer-Assisted Male Medical imaging Middle Aged Parameter identification Parameter sensitivity Pneumothorax Pneumothorax - diagnostic imaging Predictive Value of Tests Radiography Radiography, Thoracic Reproducibility of Results Sensitivity and Specificity Statistics, Nonparametric Ultrasonic imaging Ultrasonography Ultrasound |
| title | Value of high-resolution ultrasound in detecting a pneumothorax |
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