Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility
Objectives To determine the radiation dose, image quality, and clinical utility of non-enhanced chest CT with spectral filtration. Methods We retrospectively analysed 25 non-contrast chest CT examinations acquired with spectral filtration (tin-filtered Sn100 kVp spectrum) compared to 25 examinations...
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| Veröffentlicht in: | European radiology 2015-06, Vol.25 (6), p.1598-1606 |
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| creator | Braun, Franziska M. Johnson, Thorsten R. C. Sommer, Wieland H. Thierfelder, Kolja M. Meinel, Felix G. |
| description | Objectives
To determine the radiation dose, image quality, and clinical utility of non-enhanced chest CT with spectral filtration.
Methods
We retrospectively analysed 25 non-contrast chest CT examinations acquired with spectral filtration (tin-filtered Sn100 kVp spectrum) compared to 25 examinations acquired without spectral filtration (120 kV). Radiation metrics were compared. Image noise was measured. Contrast-to-noise-ratio (CNR) and figure-of-merit (FOM) were calculated. Diagnostic confidence for the assessment of various thoracic pathologies was rated by two independent readers.
Results
Effective chest diameters were comparable between groups (
P
= 0.613). In spectral filtration CT, median CTDI
vol
, DLP, and size-specific dose estimate (SSDE) were reduced (0.46 vs. 4.3 mGy, 16 vs. 141 mGy*cm, and 0.65 vs. 5.9 mGy, all
P
|
| doi_str_mv | 10.1007/s00330-014-3559-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1680178432</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3674081431</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-37dd67e832c6a282d377783549c787c3316d7af8cc4762f0932a178c9a9d4df53</originalsourceid><addsrcrecordid>eNp1kUtLAzEUhYMotlZ_gBsJuHHR0bxmkriTwRcU3NR1iEmmpsyjJjOL_ntTp4oIrm4g3znJuQeAc4yuMUL8JiJEKcoQZhnNc5nhAzDFjJIMI8EOwRRJKjIuJZuAkxjXCCGJGT8GE5LnOCeITYEp313sYbmEQ_TtCsaNM33QNax8nWbvu_YWBm391xHaLro59I1eOfgx6Nr32znUrd3rhgZ2FTS1b71JHkPvd8QpOKp0Hd3Zfs7A68P9snzKFi-Pz-XdIjOMij6j3NqCO0GJKTQRxFLOuaA5k4YLbijFheW6EsYwXpAqhSMac2GklpbZKqczcDX6bkL3MaRYqvHRuLrWreuGqHAhUBKkBSX08g-67obQpt8lKiEcIyoThUfKhC7G4Cq1CSl72CqM1K4BNTagUgNq14DCSXOxdx7eGmd_FN8rTwAZgZiu2pULv57-1_UT77CPsw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1678471039</pqid></control><display><type>article</type><title>Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Braun, Franziska M. ; Johnson, Thorsten R. C. ; Sommer, Wieland H. ; Thierfelder, Kolja M. ; Meinel, Felix G.</creator><creatorcontrib>Braun, Franziska M. ; Johnson, Thorsten R. C. ; Sommer, Wieland H. ; Thierfelder, Kolja M. ; Meinel, Felix G.</creatorcontrib><description>Objectives
To determine the radiation dose, image quality, and clinical utility of non-enhanced chest CT with spectral filtration.
Methods
We retrospectively analysed 25 non-contrast chest CT examinations acquired with spectral filtration (tin-filtered Sn100 kVp spectrum) compared to 25 examinations acquired without spectral filtration (120 kV). Radiation metrics were compared. Image noise was measured. Contrast-to-noise-ratio (CNR) and figure-of-merit (FOM) were calculated. Diagnostic confidence for the assessment of various thoracic pathologies was rated by two independent readers.
Results
Effective chest diameters were comparable between groups (
P
= 0.613). In spectral filtration CT, median CTDI
vol
, DLP, and size-specific dose estimate (SSDE) were reduced (0.46 vs. 4.3 mGy, 16 vs. 141 mGy*cm, and 0.65 vs. 5.9 mGy, all
P
< 0.001). Spectral filtration CT had higher image noise (21.3 vs. 13.2 HU,
P
< 0.001) and lower CNR (47.2 vs. 75.3,
P
< 0.001), but was more dose-efficient (FOM 10,659 vs. 2,231/mSv,
P
< 0.001). Diagnostic confidence for parenchymal lung disease and osseous pathologies was lower with spectral filtration CT, but no significant difference was found for pleural pathologies, pulmonary nodules, or pneumonia.
Conclusions
Non-contrast chest CT using spectral filtration appears to be sufficient for the assessment of a considerable spectrum of thoracic pathologies, while providing superior dose efficiency, allowing for substantial radiation dose reduction.
Key points
•
Spectral filtration enables non-contrast chest CT with very high dose efficiency
.
•
This approach reduces CTDI
vol
, DLP, and SSDE (effective chest diameter 28 cm)
.
•
Lung nodules, pneumonia, and pleural pathologies can be assessed with uncompromised confidence
.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-014-3559-1</identifier><identifier>PMID: 25515204</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Chest ; Diagnostic Radiology ; Efficiency ; Female ; Humans ; Image Processing, Computer-Assisted - methods ; Imaging ; Internal Medicine ; Interventional Radiology ; Lung - diagnostic imaging ; Lung diseases ; Lung Diseases - diagnostic imaging ; Male ; Medical screening ; Medicine ; Medicine & Public Health ; Middle Aged ; Neuroradiology ; Observer Variation ; Patients ; Pneumonia ; Radiation ; Radiation Dosage ; Radiographic Image Enhancement - methods ; Radiology ; Reproducibility of Results ; Retrospective Studies ; Tomography ; Tomography, X-Ray Computed - methods ; Ultrasound</subject><ispartof>European radiology, 2015-06, Vol.25 (6), p.1598-1606</ispartof><rights>European Society of Radiology 2014</rights><rights>European Society of Radiology 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-37dd67e832c6a282d377783549c787c3316d7af8cc4762f0932a178c9a9d4df53</citedby><cites>FETCH-LOGICAL-c438t-37dd67e832c6a282d377783549c787c3316d7af8cc4762f0932a178c9a9d4df53</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/s00330-014-3559-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-014-3559-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,782,786,27931,27932,41495,42564,51326</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25515204$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Braun, Franziska M.</creatorcontrib><creatorcontrib>Johnson, Thorsten R. C.</creatorcontrib><creatorcontrib>Sommer, Wieland H.</creatorcontrib><creatorcontrib>Thierfelder, Kolja M.</creatorcontrib><creatorcontrib>Meinel, Felix G.</creatorcontrib><title>Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To determine the radiation dose, image quality, and clinical utility of non-enhanced chest CT with spectral filtration.
Methods
We retrospectively analysed 25 non-contrast chest CT examinations acquired with spectral filtration (tin-filtered Sn100 kVp spectrum) compared to 25 examinations acquired without spectral filtration (120 kV). Radiation metrics were compared. Image noise was measured. Contrast-to-noise-ratio (CNR) and figure-of-merit (FOM) were calculated. Diagnostic confidence for the assessment of various thoracic pathologies was rated by two independent readers.
Results
Effective chest diameters were comparable between groups (
P
= 0.613). In spectral filtration CT, median CTDI
vol
, DLP, and size-specific dose estimate (SSDE) were reduced (0.46 vs. 4.3 mGy, 16 vs. 141 mGy*cm, and 0.65 vs. 5.9 mGy, all
P
< 0.001). Spectral filtration CT had higher image noise (21.3 vs. 13.2 HU,
P
< 0.001) and lower CNR (47.2 vs. 75.3,
P
< 0.001), but was more dose-efficient (FOM 10,659 vs. 2,231/mSv,
P
< 0.001). Diagnostic confidence for parenchymal lung disease and osseous pathologies was lower with spectral filtration CT, but no significant difference was found for pleural pathologies, pulmonary nodules, or pneumonia.
Conclusions
Non-contrast chest CT using spectral filtration appears to be sufficient for the assessment of a considerable spectrum of thoracic pathologies, while providing superior dose efficiency, allowing for substantial radiation dose reduction.
Key points
•
Spectral filtration enables non-contrast chest CT with very high dose efficiency
.
•
This approach reduces CTDI
vol
, DLP, and SSDE (effective chest diameter 28 cm)
.
•
Lung nodules, pneumonia, and pleural pathologies can be assessed with uncompromised confidence
.</description><subject>Aged</subject><subject>Chest</subject><subject>Diagnostic Radiology</subject><subject>Efficiency</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Lung - diagnostic imaging</subject><subject>Lung diseases</subject><subject>Lung Diseases - diagnostic imaging</subject><subject>Male</subject><subject>Medical screening</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuroradiology</subject><subject>Observer Variation</subject><subject>Patients</subject><subject>Pneumonia</subject><subject>Radiation</subject><subject>Radiation Dosage</subject><subject>Radiographic Image Enhancement - methods</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</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>eNp1kUtLAzEUhYMotlZ_gBsJuHHR0bxmkriTwRcU3NR1iEmmpsyjJjOL_ntTp4oIrm4g3znJuQeAc4yuMUL8JiJEKcoQZhnNc5nhAzDFjJIMI8EOwRRJKjIuJZuAkxjXCCGJGT8GE5LnOCeITYEp313sYbmEQ_TtCsaNM33QNax8nWbvu_YWBm391xHaLro59I1eOfgx6Nr32znUrd3rhgZ2FTS1b71JHkPvd8QpOKp0Hd3Zfs7A68P9snzKFi-Pz-XdIjOMij6j3NqCO0GJKTQRxFLOuaA5k4YLbijFheW6EsYwXpAqhSMac2GklpbZKqczcDX6bkL3MaRYqvHRuLrWreuGqHAhUBKkBSX08g-67obQpt8lKiEcIyoThUfKhC7G4Cq1CSl72CqM1K4BNTagUgNq14DCSXOxdx7eGmd_FN8rTwAZgZiu2pULv57-1_UT77CPsw</recordid><startdate>20150601</startdate><enddate>20150601</enddate><creator>Braun, Franziska M.</creator><creator>Johnson, Thorsten R. C.</creator><creator>Sommer, Wieland H.</creator><creator>Thierfelder, Kolja M.</creator><creator>Meinel, Felix G.</creator><general>Springer Berlin Heidelberg</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>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>20150601</creationdate><title>Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility</title><author>Braun, Franziska M. ; Johnson, Thorsten R. C. ; Sommer, Wieland H. ; Thierfelder, Kolja M. ; Meinel, Felix G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-37dd67e832c6a282d377783549c787c3316d7af8cc4762f0932a178c9a9d4df53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Chest</topic><topic>Diagnostic Radiology</topic><topic>Efficiency</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Lung - diagnostic imaging</topic><topic>Lung diseases</topic><topic>Lung Diseases - diagnostic imaging</topic><topic>Male</topic><topic>Medical screening</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuroradiology</topic><topic>Observer Variation</topic><topic>Patients</topic><topic>Pneumonia</topic><topic>Radiation</topic><topic>Radiation Dosage</topic><topic>Radiographic Image Enhancement - methods</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Braun, Franziska M.</creatorcontrib><creatorcontrib>Johnson, Thorsten R. C.</creatorcontrib><creatorcontrib>Sommer, Wieland H.</creatorcontrib><creatorcontrib>Thierfelder, Kolja M.</creatorcontrib><creatorcontrib>Meinel, Felix G.</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>Braun, Franziska M.</au><au>Johnson, Thorsten R. C.</au><au>Sommer, Wieland H.</au><au>Thierfelder, Kolja M.</au><au>Meinel, Felix G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2015-06-01</date><risdate>2015</risdate><volume>25</volume><issue>6</issue><spage>1598</spage><epage>1606</epage><pages>1598-1606</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To determine the radiation dose, image quality, and clinical utility of non-enhanced chest CT with spectral filtration.
Methods
We retrospectively analysed 25 non-contrast chest CT examinations acquired with spectral filtration (tin-filtered Sn100 kVp spectrum) compared to 25 examinations acquired without spectral filtration (120 kV). Radiation metrics were compared. Image noise was measured. Contrast-to-noise-ratio (CNR) and figure-of-merit (FOM) were calculated. Diagnostic confidence for the assessment of various thoracic pathologies was rated by two independent readers.
Results
Effective chest diameters were comparable between groups (
P
= 0.613). In spectral filtration CT, median CTDI
vol
, DLP, and size-specific dose estimate (SSDE) were reduced (0.46 vs. 4.3 mGy, 16 vs. 141 mGy*cm, and 0.65 vs. 5.9 mGy, all
P
< 0.001). Spectral filtration CT had higher image noise (21.3 vs. 13.2 HU,
P
< 0.001) and lower CNR (47.2 vs. 75.3,
P
< 0.001), but was more dose-efficient (FOM 10,659 vs. 2,231/mSv,
P
< 0.001). Diagnostic confidence for parenchymal lung disease and osseous pathologies was lower with spectral filtration CT, but no significant difference was found for pleural pathologies, pulmonary nodules, or pneumonia.
Conclusions
Non-contrast chest CT using spectral filtration appears to be sufficient for the assessment of a considerable spectrum of thoracic pathologies, while providing superior dose efficiency, allowing for substantial radiation dose reduction.
Key points
•
Spectral filtration enables non-contrast chest CT with very high dose efficiency
.
•
This approach reduces CTDI
vol
, DLP, and SSDE (effective chest diameter 28 cm)
.
•
Lung nodules, pneumonia, and pleural pathologies can be assessed with uncompromised confidence
.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>25515204</pmid><doi>10.1007/s00330-014-3559-1</doi><tpages>9</tpages></addata></record> |
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| identifier | ISSN: 0938-7994 |
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| issn | 0938-7994 1432-1084 |
| language | eng |
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| source | MEDLINE; SpringerNature Journals |
| subjects | Aged Chest Diagnostic Radiology Efficiency Female Humans Image Processing, Computer-Assisted - methods Imaging Internal Medicine Interventional Radiology Lung - diagnostic imaging Lung diseases Lung Diseases - diagnostic imaging Male Medical screening Medicine Medicine & Public Health Middle Aged Neuroradiology Observer Variation Patients Pneumonia Radiation Radiation Dosage Radiographic Image Enhancement - methods Radiology Reproducibility of Results Retrospective Studies Tomography Tomography, X-Ray Computed - methods Ultrasound |
| title | Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility |
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