The value of FDG-PET/CT in assessing single pulmonary nodules in patients at high risk of lung cancer
Purpose To evaluate whether PET/low-dose CT (ldCT) using 18 F-fluorodeoxyglucose (FDG) improves characterization of indeterminate single pulmonary nodules (SPNs) in patients at high risk of lung cancer. Methods Retrospective analysis of 307 patients who underwent FDG-PET/CT for indeterminate SPNs id...
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Veröffentlicht in: | European journal of nuclear medicine and molecular imaging 2009-06, Vol.36 (6), p.997-1004 |
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creator | Kagna, Olga Solomonov, Anna Keidar, Zohar Bar-Shalom, Rachel Fruchter, Oren Yigla, Mordechai Israel, Ora Guralnik, Luda |
description | Purpose
To evaluate whether PET/low-dose CT (ldCT) using
18
F-fluorodeoxyglucose (FDG) improves characterization of indeterminate single pulmonary nodules (SPNs) in patients at high risk of lung cancer.
Methods
Retrospective analysis of 307 patients who underwent FDG-PET/CT for indeterminate SPNs identified 93 (70 men, age range 46–90 years) at high risk of lung cancer (age >40 years, minimum 10 pack-year smokers). SPNs were evaluated for the presence and intensity of FDG avidity and ldCT patterns. The performance of visual and semiquantitative FDG-PET/ldCT algorithms for characterization of SPNs was compared to that of ldCT. Incongruent FDG-PET and ldCT patterns were analyzed for significance in further patient management.
Results
Malignancy was diagnosed in 38% patients. FDG avidity defined 33 SPNs as true-positive (TP) and 2 as false-negative (FN) (malignant), and 41 as true-negative (TN) and 17 as false-positive (FP) (benign). For SUVmax of 2.2 (by ROC analysis) there were 27 TP, 8 FN, 48 TN and 10 FP SPNs. LdCT defined 34 TP, 1 FN, 28 TN and 30 FP lesions. Of the FP lesions on ldCT, 60% were FDG-negative. Visual PET/ldCT analysis had a sensitivity of 94%, a specificity of 70%, an accuracy of 80%, a positive predictive value (PPV) of 66%, and a negative predictive value (NPV) of 95% as compared to 77%, 83%, 81%, 73%, 86% for semiquantitative PET/ldCT and 97%, 48%, 66%, 53%, 96% for ldCT, respectively. Both PET/ldCT algorithms had statistically significantly higher specificity and accuracy than ldCT. Semiquantitative analysis showed significantly higher PPV and lower sensitivity and NPV than found with ldCT.
Conclusion
A single screening procedure encompassing FDG-PET and ldCT may improve screening for lung cancer in high-risk patients. The significantly improved specificity may potentially reduce FP ldCT results and further unnecessary invasive procedures. |
doi_str_mv | 10.1007/s00259-009-1061-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_67217482</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>20589073</sourcerecordid><originalsourceid>FETCH-LOGICAL-c466t-1112dbd06056ccd1117aaf0758124d93ed906601d83c733416716e85e2e58b5c3</originalsourceid><addsrcrecordid>eNqFkU1r3DAQhkVoyce2P6CXInrIzcmMbOvjWDafEGgP27PQyrO7Tr3yRrID-feR2aWBQMlF0qDnfYeZl7FvCBcIoC4TgKhNAWAKBImFOWKnKNEUCrT59O-t4ISdpfQIgFpoc8xO0KCpFFSnjBYb4s-uG4n3K35zdVv8vl5czhe8DdylRCm1Yc2noyO-G7ttH1x84aFvxo7SRO3c0FIYEncD37TrDY9t-juZdWNWehc8xS_s88p1ib4e7hn7c3O9mN8VD79u7-c_HwpfSTkUiCiaZQMSaul9k0vl3ApUrVFUjSmpMSAlYKNLr8qyQqlQkq5JUK2XtS9n7Hzvu4v900hpsNs2eeo6F6gfk5VKoKq0-BAUUGsDuceM_XgHPvZjDHkIK7CStQRRZQj3kI99SpFWdhfbbd6TRbBTUnaflM1J2Skpa7Lm-8F4XG6peVMcosmA2AMpf4U1xbfO_3d9BTlUm5o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>214656024</pqid></control><display><type>article</type><title>The value of FDG-PET/CT in assessing single pulmonary nodules in patients at high risk of lung cancer</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Kagna, Olga ; Solomonov, Anna ; Keidar, Zohar ; Bar-Shalom, Rachel ; Fruchter, Oren ; Yigla, Mordechai ; Israel, Ora ; Guralnik, Luda</creator><creatorcontrib>Kagna, Olga ; Solomonov, Anna ; Keidar, Zohar ; Bar-Shalom, Rachel ; Fruchter, Oren ; Yigla, Mordechai ; Israel, Ora ; Guralnik, Luda</creatorcontrib><description>Purpose
To evaluate whether PET/low-dose CT (ldCT) using
18
F-fluorodeoxyglucose (FDG) improves characterization of indeterminate single pulmonary nodules (SPNs) in patients at high risk of lung cancer.
Methods
Retrospective analysis of 307 patients who underwent FDG-PET/CT for indeterminate SPNs identified 93 (70 men, age range 46–90 years) at high risk of lung cancer (age >40 years, minimum 10 pack-year smokers). SPNs were evaluated for the presence and intensity of FDG avidity and ldCT patterns. The performance of visual and semiquantitative FDG-PET/ldCT algorithms for characterization of SPNs was compared to that of ldCT. Incongruent FDG-PET and ldCT patterns were analyzed for significance in further patient management.
Results
Malignancy was diagnosed in 38% patients. FDG avidity defined 33 SPNs as true-positive (TP) and 2 as false-negative (FN) (malignant), and 41 as true-negative (TN) and 17 as false-positive (FP) (benign). For SUVmax of 2.2 (by ROC analysis) there were 27 TP, 8 FN, 48 TN and 10 FP SPNs. LdCT defined 34 TP, 1 FN, 28 TN and 30 FP lesions. Of the FP lesions on ldCT, 60% were FDG-negative. Visual PET/ldCT analysis had a sensitivity of 94%, a specificity of 70%, an accuracy of 80%, a positive predictive value (PPV) of 66%, and a negative predictive value (NPV) of 95% as compared to 77%, 83%, 81%, 73%, 86% for semiquantitative PET/ldCT and 97%, 48%, 66%, 53%, 96% for ldCT, respectively. Both PET/ldCT algorithms had statistically significantly higher specificity and accuracy than ldCT. Semiquantitative analysis showed significantly higher PPV and lower sensitivity and NPV than found with ldCT.
Conclusion
A single screening procedure encompassing FDG-PET and ldCT may improve screening for lung cancer in high-risk patients. The significantly improved specificity may potentially reduce FP ldCT results and further unnecessary invasive procedures.</description><identifier>ISSN: 1619-7070</identifier><identifier>EISSN: 1619-7089</identifier><identifier>DOI: 10.1007/s00259-009-1061-9</identifier><identifier>PMID: 19194704</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Aged ; Aged, 80 and over ; Cardiology ; False Positive Reactions ; Female ; Fluorodeoxyglucose F18 - metabolism ; Humans ; Imaging ; Lung cancer ; Lung Neoplasms - diagnostic imaging ; Lung Neoplasms - metabolism ; Male ; Medical diagnosis ; Medical imaging ; Medical screening ; Medicine ; Medicine & Public Health ; Middle Aged ; Nuclear Medicine ; Oncology ; Original Article ; Orthopedics ; Positron-Emission Tomography ; Radiation Dosage ; Radiology ; Retrospective Studies ; Risk ; Sensitivity and Specificity ; Solitary Pulmonary Nodule - diagnostic imaging ; Solitary Pulmonary Nodule - metabolism ; Tomography ; Tomography, X-Ray Computed</subject><ispartof>European journal of nuclear medicine and molecular imaging, 2009-06, Vol.36 (6), p.997-1004</ispartof><rights>Springer-Verlag 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-1112dbd06056ccd1117aaf0758124d93ed906601d83c733416716e85e2e58b5c3</citedby><cites>FETCH-LOGICAL-c466t-1112dbd06056ccd1117aaf0758124d93ed906601d83c733416716e85e2e58b5c3</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/s00259-009-1061-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00259-009-1061-9$$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/19194704$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kagna, Olga</creatorcontrib><creatorcontrib>Solomonov, Anna</creatorcontrib><creatorcontrib>Keidar, Zohar</creatorcontrib><creatorcontrib>Bar-Shalom, Rachel</creatorcontrib><creatorcontrib>Fruchter, Oren</creatorcontrib><creatorcontrib>Yigla, Mordechai</creatorcontrib><creatorcontrib>Israel, Ora</creatorcontrib><creatorcontrib>Guralnik, Luda</creatorcontrib><title>The value of FDG-PET/CT in assessing single pulmonary nodules in patients at high risk of lung cancer</title><title>European journal of nuclear medicine and molecular imaging</title><addtitle>Eur J Nucl Med Mol Imaging</addtitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><description>Purpose
To evaluate whether PET/low-dose CT (ldCT) using
18
F-fluorodeoxyglucose (FDG) improves characterization of indeterminate single pulmonary nodules (SPNs) in patients at high risk of lung cancer.
Methods
Retrospective analysis of 307 patients who underwent FDG-PET/CT for indeterminate SPNs identified 93 (70 men, age range 46–90 years) at high risk of lung cancer (age >40 years, minimum 10 pack-year smokers). SPNs were evaluated for the presence and intensity of FDG avidity and ldCT patterns. The performance of visual and semiquantitative FDG-PET/ldCT algorithms for characterization of SPNs was compared to that of ldCT. Incongruent FDG-PET and ldCT patterns were analyzed for significance in further patient management.
Results
Malignancy was diagnosed in 38% patients. FDG avidity defined 33 SPNs as true-positive (TP) and 2 as false-negative (FN) (malignant), and 41 as true-negative (TN) and 17 as false-positive (FP) (benign). For SUVmax of 2.2 (by ROC analysis) there were 27 TP, 8 FN, 48 TN and 10 FP SPNs. LdCT defined 34 TP, 1 FN, 28 TN and 30 FP lesions. Of the FP lesions on ldCT, 60% were FDG-negative. Visual PET/ldCT analysis had a sensitivity of 94%, a specificity of 70%, an accuracy of 80%, a positive predictive value (PPV) of 66%, and a negative predictive value (NPV) of 95% as compared to 77%, 83%, 81%, 73%, 86% for semiquantitative PET/ldCT and 97%, 48%, 66%, 53%, 96% for ldCT, respectively. Both PET/ldCT algorithms had statistically significantly higher specificity and accuracy than ldCT. Semiquantitative analysis showed significantly higher PPV and lower sensitivity and NPV than found with ldCT.
Conclusion
A single screening procedure encompassing FDG-PET and ldCT may improve screening for lung cancer in high-risk patients. The significantly improved specificity may potentially reduce FP ldCT results and further unnecessary invasive procedures.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cardiology</subject><subject>False Positive Reactions</subject><subject>Female</subject><subject>Fluorodeoxyglucose F18 - metabolism</subject><subject>Humans</subject><subject>Imaging</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Lung Neoplasms - metabolism</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medical screening</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Nuclear Medicine</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Positron-Emission Tomography</subject><subject>Radiation Dosage</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Risk</subject><subject>Sensitivity and Specificity</subject><subject>Solitary Pulmonary Nodule - diagnostic imaging</subject><subject>Solitary Pulmonary Nodule - metabolism</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><issn>1619-7070</issn><issn>1619-7089</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</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>eNqFkU1r3DAQhkVoyce2P6CXInrIzcmMbOvjWDafEGgP27PQyrO7Tr3yRrID-feR2aWBQMlF0qDnfYeZl7FvCBcIoC4TgKhNAWAKBImFOWKnKNEUCrT59O-t4ISdpfQIgFpoc8xO0KCpFFSnjBYb4s-uG4n3K35zdVv8vl5czhe8DdylRCm1Yc2noyO-G7ttH1x84aFvxo7SRO3c0FIYEncD37TrDY9t-juZdWNWehc8xS_s88p1ib4e7hn7c3O9mN8VD79u7-c_HwpfSTkUiCiaZQMSaul9k0vl3ApUrVFUjSmpMSAlYKNLr8qyQqlQkq5JUK2XtS9n7Hzvu4v900hpsNs2eeo6F6gfk5VKoKq0-BAUUGsDuceM_XgHPvZjDHkIK7CStQRRZQj3kI99SpFWdhfbbd6TRbBTUnaflM1J2Skpa7Lm-8F4XG6peVMcosmA2AMpf4U1xbfO_3d9BTlUm5o</recordid><startdate>20090601</startdate><enddate>20090601</enddate><creator>Kagna, Olga</creator><creator>Solomonov, Anna</creator><creator>Keidar, Zohar</creator><creator>Bar-Shalom, Rachel</creator><creator>Fruchter, Oren</creator><creator>Yigla, Mordechai</creator><creator>Israel, Ora</creator><creator>Guralnik, Luda</creator><general>Springer-Verlag</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>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</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>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>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20090601</creationdate><title>The value of FDG-PET/CT in assessing single pulmonary nodules in patients at high risk of lung cancer</title><author>Kagna, Olga ; Solomonov, Anna ; Keidar, Zohar ; Bar-Shalom, Rachel ; Fruchter, Oren ; Yigla, Mordechai ; Israel, Ora ; Guralnik, Luda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c466t-1112dbd06056ccd1117aaf0758124d93ed906601d83c733416716e85e2e58b5c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Cardiology</topic><topic>False Positive Reactions</topic><topic>Female</topic><topic>Fluorodeoxyglucose F18 - metabolism</topic><topic>Humans</topic><topic>Imaging</topic><topic>Lung cancer</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Lung Neoplasms - metabolism</topic><topic>Male</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Medical screening</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Nuclear Medicine</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Positron-Emission Tomography</topic><topic>Radiation Dosage</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Sensitivity and Specificity</topic><topic>Solitary Pulmonary Nodule - diagnostic imaging</topic><topic>Solitary Pulmonary Nodule - metabolism</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kagna, Olga</creatorcontrib><creatorcontrib>Solomonov, Anna</creatorcontrib><creatorcontrib>Keidar, Zohar</creatorcontrib><creatorcontrib>Bar-Shalom, Rachel</creatorcontrib><creatorcontrib>Fruchter, Oren</creatorcontrib><creatorcontrib>Yigla, Mordechai</creatorcontrib><creatorcontrib>Israel, Ora</creatorcontrib><creatorcontrib>Guralnik, Luda</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>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</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>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>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>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of nuclear medicine and molecular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kagna, Olga</au><au>Solomonov, Anna</au><au>Keidar, Zohar</au><au>Bar-Shalom, Rachel</au><au>Fruchter, Oren</au><au>Yigla, Mordechai</au><au>Israel, Ora</au><au>Guralnik, Luda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The value of FDG-PET/CT in assessing single pulmonary nodules in patients at high risk of lung cancer</atitle><jtitle>European journal of nuclear medicine and molecular imaging</jtitle><stitle>Eur J Nucl Med Mol Imaging</stitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><date>2009-06-01</date><risdate>2009</risdate><volume>36</volume><issue>6</issue><spage>997</spage><epage>1004</epage><pages>997-1004</pages><issn>1619-7070</issn><eissn>1619-7089</eissn><abstract>Purpose
To evaluate whether PET/low-dose CT (ldCT) using
18
F-fluorodeoxyglucose (FDG) improves characterization of indeterminate single pulmonary nodules (SPNs) in patients at high risk of lung cancer.
Methods
Retrospective analysis of 307 patients who underwent FDG-PET/CT for indeterminate SPNs identified 93 (70 men, age range 46–90 years) at high risk of lung cancer (age >40 years, minimum 10 pack-year smokers). SPNs were evaluated for the presence and intensity of FDG avidity and ldCT patterns. The performance of visual and semiquantitative FDG-PET/ldCT algorithms for characterization of SPNs was compared to that of ldCT. Incongruent FDG-PET and ldCT patterns were analyzed for significance in further patient management.
Results
Malignancy was diagnosed in 38% patients. FDG avidity defined 33 SPNs as true-positive (TP) and 2 as false-negative (FN) (malignant), and 41 as true-negative (TN) and 17 as false-positive (FP) (benign). For SUVmax of 2.2 (by ROC analysis) there were 27 TP, 8 FN, 48 TN and 10 FP SPNs. LdCT defined 34 TP, 1 FN, 28 TN and 30 FP lesions. Of the FP lesions on ldCT, 60% were FDG-negative. Visual PET/ldCT analysis had a sensitivity of 94%, a specificity of 70%, an accuracy of 80%, a positive predictive value (PPV) of 66%, and a negative predictive value (NPV) of 95% as compared to 77%, 83%, 81%, 73%, 86% for semiquantitative PET/ldCT and 97%, 48%, 66%, 53%, 96% for ldCT, respectively. Both PET/ldCT algorithms had statistically significantly higher specificity and accuracy than ldCT. Semiquantitative analysis showed significantly higher PPV and lower sensitivity and NPV than found with ldCT.
Conclusion
A single screening procedure encompassing FDG-PET and ldCT may improve screening for lung cancer in high-risk patients. The significantly improved specificity may potentially reduce FP ldCT results and further unnecessary invasive procedures.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>19194704</pmid><doi>10.1007/s00259-009-1061-9</doi><tpages>8</tpages></addata></record> |
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subjects | Aged Aged, 80 and over Cardiology False Positive Reactions Female Fluorodeoxyglucose F18 - metabolism Humans Imaging Lung cancer Lung Neoplasms - diagnostic imaging Lung Neoplasms - metabolism Male Medical diagnosis Medical imaging Medical screening Medicine Medicine & Public Health Middle Aged Nuclear Medicine Oncology Original Article Orthopedics Positron-Emission Tomography Radiation Dosage Radiology Retrospective Studies Risk Sensitivity and Specificity Solitary Pulmonary Nodule - diagnostic imaging Solitary Pulmonary Nodule - metabolism Tomography Tomography, X-Ray Computed |
title | The value of FDG-PET/CT in assessing single pulmonary nodules in patients at high risk of lung cancer |
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