Head-to-head comparison of lung perfusion with dual-energy CT and SPECT-CT
•DECT iodine maps strongly correlate with SPECT-CT in the quantification of relative lobar perfusion.•Almost perfect agreement is found for both morphology and severity of perfusion defects between DECT iodine maps and SPECT-CT.•Sensitivity, specificity, PPV, NPV, and accuracy for lung perfusion def...
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| creator | Si-Mohamed, S. Moreau-Triby, C. Tylski, P. Tatard-Leitman, V. Wdowik, Q. Boccalini, S. Dessouky, R. Douek, P. Boussel, L. |
| description | •DECT iodine maps strongly correlate with SPECT-CT in the quantification of relative lobar perfusion.•Almost perfect agreement is found for both morphology and severity of perfusion defects between DECT iodine maps and SPECT-CT.•Sensitivity, specificity, PPV, NPV, and accuracy for lung perfusion defects of DECT iodine maps are 89.4%, 96.5%, 95.6%, 91.4%, and 93.0% using SPECT-CT as standard of reference.
To compare the quantitative and qualitative lung perfusion data acquired with dual energy CT (DECT) to that acquired with a large field-of-view cadmium-zinc-telluride camera single-photon emission CT coupled to a CT system (SPECT-CT).
A total of 53 patients who underwent both dual-layer DECT angiography and perfusion SPECT-CT for pulmonary hypertension or pre-operative lobar resection surgery were retrospectively included. There were 30 men and 23 women with a mean age of 65.4±17.5 (SD)years (range: 18–88years). Relative lobar perfusion was calculated by dividing the amount (of radiotracer or iodinated contrast agent) per lobe by the total amount in both lungs. Linear regression, Bland-Altman analysis, and Pearson's correlation coefficient were also calculated. Kappa test was used to test agreements in morphology and severity of perfusion defects assessed on SPECT-CT and on DECT iodine maps with a one-month interval. Wilcoxon rank sum test was used to compare the sharpness of perfusion defects and radiation dose among modalities.
Strong correlations for relative lobar perfusion using linear regression analysis and Pearson's correlation coefficient (r=0.93) were found. Bland-Altman analysis revealed a −0.10 bias, with limits of agreement between [−6.01; 5.81]. With respect to SPECT- CT as standard of reference, the sensitivity, specificity, PPV, NPV, accuracy for lobar perfusion defects were 89.4% (95%
CI: 82.6−93.4%), 96.5% (95% CI: 92.1−98.5%), 95.6% (95% CI:
90.9−97.8%), 91.4% (95% CI: 85.6−94.9%) and 93.0% (95% CI:
87.6−96.1%) respectively. High level of agreement was found for morphology and severity of perfusion defects between modalities (Kappa=0.84 and 0.86 respectively) and on DECT images among readers (Kappa=0.94 and 0.89 respectively). A significantly sharper delineation of perfusion defects was found on DECT images (P |
| doi_str_mv | 10.1016/j.diii.2020.02.006 |
| format | Article |
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To compare the quantitative and qualitative lung perfusion data acquired with dual energy CT (DECT) to that acquired with a large field-of-view cadmium-zinc-telluride camera single-photon emission CT coupled to a CT system (SPECT-CT).
A total of 53 patients who underwent both dual-layer DECT angiography and perfusion SPECT-CT for pulmonary hypertension or pre-operative lobar resection surgery were retrospectively included. There were 30 men and 23 women with a mean age of 65.4±17.5 (SD)years (range: 18–88years). Relative lobar perfusion was calculated by dividing the amount (of radiotracer or iodinated contrast agent) per lobe by the total amount in both lungs. Linear regression, Bland-Altman analysis, and Pearson's correlation coefficient were also calculated. Kappa test was used to test agreements in morphology and severity of perfusion defects assessed on SPECT-CT and on DECT iodine maps with a one-month interval. Wilcoxon rank sum test was used to compare the sharpness of perfusion defects and radiation dose among modalities.
Strong correlations for relative lobar perfusion using linear regression analysis and Pearson's correlation coefficient (r=0.93) were found. Bland-Altman analysis revealed a −0.10 bias, with limits of agreement between [−6.01; 5.81]. With respect to SPECT- CT as standard of reference, the sensitivity, specificity, PPV, NPV, accuracy for lobar perfusion defects were 89.4% (95%
CI: 82.6−93.4%), 96.5% (95% CI: 92.1−98.5%), 95.6% (95% CI:
90.9−97.8%), 91.4% (95% CI: 85.6−94.9%) and 93.0% (95% CI:
87.6−96.1%) respectively. High level of agreement was found for morphology and severity of perfusion defects between modalities (Kappa=0.84 and 0.86 respectively) and on DECT images among readers (Kappa=0.94 and 0.89 respectively). A significantly sharper delineation of perfusion defects was found on DECT images (P<0.0001) using a significantly lower equivalent dose of 4.1±2.3 (SD) mSv (range: 1.9–11.85mSv) compared to an equivalent dose of 5.3±1.1 (SD) mSv (range: 2.8–7.3mSv) for SPECT-CT, corresponding to a 21.2% dose reduction (P=0.0004).
DECT imaging shows strong quantitative correlations and qualitative agreements with SPECT-CT for the evaluation of lung perfusion.</description><identifier>ISSN: 2211-5684</identifier><identifier>EISSN: 2211-5684</identifier><identifier>DOI: 10.1016/j.diii.2020.02.006</identifier><identifier>PMID: 32173289</identifier><language>eng</language><publisher>France: Elsevier Masson SAS</publisher><subject>Comparative study ; Emission-Computed ; Life Sciences ; Lung ; Perfusion ; Single-Photon ; Tomography ; X-Ray Computed/methods</subject><ispartof>Diagnostic and interventional imaging, 2020-05, Vol.101 (5), p.299-310</ispartof><rights>2020 Société française de radiologie</rights><rights>Copyright © 2020 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.</rights><rights>Attribution - NonCommercial</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-34edd08f1adc6d4c41ae27572cd9492f9098448e99dfc81f73b6698ac657b2fe3</citedby><cites>FETCH-LOGICAL-c434t-34edd08f1adc6d4c41ae27572cd9492f9098448e99dfc81f73b6698ac657b2fe3</cites><orcidid>0000-0003-3345-1599 ; 0000-0003-0314-4010 ; 0000-0002-5096-4698 ; 0000-0001-9053-8127</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32173289$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03491057$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Si-Mohamed, S.</creatorcontrib><creatorcontrib>Moreau-Triby, C.</creatorcontrib><creatorcontrib>Tylski, P.</creatorcontrib><creatorcontrib>Tatard-Leitman, V.</creatorcontrib><creatorcontrib>Wdowik, Q.</creatorcontrib><creatorcontrib>Boccalini, S.</creatorcontrib><creatorcontrib>Dessouky, R.</creatorcontrib><creatorcontrib>Douek, P.</creatorcontrib><creatorcontrib>Boussel, L.</creatorcontrib><title>Head-to-head comparison of lung perfusion with dual-energy CT and SPECT-CT</title><title>Diagnostic and interventional imaging</title><addtitle>Diagn Interv Imaging</addtitle><description>•DECT iodine maps strongly correlate with SPECT-CT in the quantification of relative lobar perfusion.•Almost perfect agreement is found for both morphology and severity of perfusion defects between DECT iodine maps and SPECT-CT.•Sensitivity, specificity, PPV, NPV, and accuracy for lung perfusion defects of DECT iodine maps are 89.4%, 96.5%, 95.6%, 91.4%, and 93.0% using SPECT-CT as standard of reference.
To compare the quantitative and qualitative lung perfusion data acquired with dual energy CT (DECT) to that acquired with a large field-of-view cadmium-zinc-telluride camera single-photon emission CT coupled to a CT system (SPECT-CT).
A total of 53 patients who underwent both dual-layer DECT angiography and perfusion SPECT-CT for pulmonary hypertension or pre-operative lobar resection surgery were retrospectively included. There were 30 men and 23 women with a mean age of 65.4±17.5 (SD)years (range: 18–88years). Relative lobar perfusion was calculated by dividing the amount (of radiotracer or iodinated contrast agent) per lobe by the total amount in both lungs. Linear regression, Bland-Altman analysis, and Pearson's correlation coefficient were also calculated. Kappa test was used to test agreements in morphology and severity of perfusion defects assessed on SPECT-CT and on DECT iodine maps with a one-month interval. Wilcoxon rank sum test was used to compare the sharpness of perfusion defects and radiation dose among modalities.
Strong correlations for relative lobar perfusion using linear regression analysis and Pearson's correlation coefficient (r=0.93) were found. Bland-Altman analysis revealed a −0.10 bias, with limits of agreement between [−6.01; 5.81]. With respect to SPECT- CT as standard of reference, the sensitivity, specificity, PPV, NPV, accuracy for lobar perfusion defects were 89.4% (95%
CI: 82.6−93.4%), 96.5% (95% CI: 92.1−98.5%), 95.6% (95% CI:
90.9−97.8%), 91.4% (95% CI: 85.6−94.9%) and 93.0% (95% CI:
87.6−96.1%) respectively. High level of agreement was found for morphology and severity of perfusion defects between modalities (Kappa=0.84 and 0.86 respectively) and on DECT images among readers (Kappa=0.94 and 0.89 respectively). A significantly sharper delineation of perfusion defects was found on DECT images (P<0.0001) using a significantly lower equivalent dose of 4.1±2.3 (SD) mSv (range: 1.9–11.85mSv) compared to an equivalent dose of 5.3±1.1 (SD) mSv (range: 2.8–7.3mSv) for SPECT-CT, corresponding to a 21.2% dose reduction (P=0.0004).
DECT imaging shows strong quantitative correlations and qualitative agreements with SPECT-CT for the evaluation of lung perfusion.</description><subject>Comparative study</subject><subject>Emission-Computed</subject><subject>Life Sciences</subject><subject>Lung</subject><subject>Perfusion</subject><subject>Single-Photon</subject><subject>Tomography</subject><subject>X-Ray Computed/methods</subject><issn>2211-5684</issn><issn>2211-5684</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PGzEQhi1EBYjyB3pAeyyHXfwVry31glaUgCJRqenZcuwxcbRZp_YuiH9fRwHUE3OZ0eh538OD0DeCG4KJuN40LoTQUExxg2mDsThCZ5QSUs-E5Mf_3afoIucNLiNKkPMTdMooaRmV6gw9zMG4eoz1uuzKxu3OpJDjUEVf9dPwVO0g-SmH8nkJ47pyk-lrGCA9vVbdsjKDq37_uu2Wdbf8ir5402e4eNvn6M_P22U3rxePd_fdzaK2nPGxZhycw9IT46xw3HJigLazllqnuKJeYSU5l6CU81YS37KVEEoaK2btinpg5-jq0Ls2vd6lsDXpVUcT9Pxmofc_zLgieNY-k8J-P7C7FP9OkEe9DdlC35sB4pQ1ZW0rJJOEFpQeUJtizgn8RzfBeq9cb_Reud4r15jq4rOELt_6p9UW3EfkXXABfhwAKEaeAySdbYDBggsJ7KhdDJ_1_wNx-I8m</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Si-Mohamed, S.</creator><creator>Moreau-Triby, C.</creator><creator>Tylski, P.</creator><creator>Tatard-Leitman, V.</creator><creator>Wdowik, Q.</creator><creator>Boccalini, S.</creator><creator>Dessouky, R.</creator><creator>Douek, P.</creator><creator>Boussel, L.</creator><general>Elsevier Masson SAS</general><general>Elsevier</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0003-3345-1599</orcidid><orcidid>https://orcid.org/0000-0003-0314-4010</orcidid><orcidid>https://orcid.org/0000-0002-5096-4698</orcidid><orcidid>https://orcid.org/0000-0001-9053-8127</orcidid></search><sort><creationdate>20200501</creationdate><title>Head-to-head comparison of lung perfusion with dual-energy CT and SPECT-CT</title><author>Si-Mohamed, S. ; Moreau-Triby, C. ; Tylski, P. ; Tatard-Leitman, V. ; Wdowik, Q. ; Boccalini, S. ; Dessouky, R. ; Douek, P. ; Boussel, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-34edd08f1adc6d4c41ae27572cd9492f9098448e99dfc81f73b6698ac657b2fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Comparative study</topic><topic>Emission-Computed</topic><topic>Life Sciences</topic><topic>Lung</topic><topic>Perfusion</topic><topic>Single-Photon</topic><topic>Tomography</topic><topic>X-Ray Computed/methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Si-Mohamed, S.</creatorcontrib><creatorcontrib>Moreau-Triby, C.</creatorcontrib><creatorcontrib>Tylski, P.</creatorcontrib><creatorcontrib>Tatard-Leitman, V.</creatorcontrib><creatorcontrib>Wdowik, Q.</creatorcontrib><creatorcontrib>Boccalini, S.</creatorcontrib><creatorcontrib>Dessouky, R.</creatorcontrib><creatorcontrib>Douek, P.</creatorcontrib><creatorcontrib>Boussel, L.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Diagnostic and interventional imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Si-Mohamed, S.</au><au>Moreau-Triby, C.</au><au>Tylski, P.</au><au>Tatard-Leitman, V.</au><au>Wdowik, Q.</au><au>Boccalini, S.</au><au>Dessouky, R.</au><au>Douek, P.</au><au>Boussel, L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Head-to-head comparison of lung perfusion with dual-energy CT and SPECT-CT</atitle><jtitle>Diagnostic and interventional imaging</jtitle><addtitle>Diagn Interv Imaging</addtitle><date>2020-05-01</date><risdate>2020</risdate><volume>101</volume><issue>5</issue><spage>299</spage><epage>310</epage><pages>299-310</pages><issn>2211-5684</issn><eissn>2211-5684</eissn><abstract>•DECT iodine maps strongly correlate with SPECT-CT in the quantification of relative lobar perfusion.•Almost perfect agreement is found for both morphology and severity of perfusion defects between DECT iodine maps and SPECT-CT.•Sensitivity, specificity, PPV, NPV, and accuracy for lung perfusion defects of DECT iodine maps are 89.4%, 96.5%, 95.6%, 91.4%, and 93.0% using SPECT-CT as standard of reference.
To compare the quantitative and qualitative lung perfusion data acquired with dual energy CT (DECT) to that acquired with a large field-of-view cadmium-zinc-telluride camera single-photon emission CT coupled to a CT system (SPECT-CT).
A total of 53 patients who underwent both dual-layer DECT angiography and perfusion SPECT-CT for pulmonary hypertension or pre-operative lobar resection surgery were retrospectively included. There were 30 men and 23 women with a mean age of 65.4±17.5 (SD)years (range: 18–88years). Relative lobar perfusion was calculated by dividing the amount (of radiotracer or iodinated contrast agent) per lobe by the total amount in both lungs. Linear regression, Bland-Altman analysis, and Pearson's correlation coefficient were also calculated. Kappa test was used to test agreements in morphology and severity of perfusion defects assessed on SPECT-CT and on DECT iodine maps with a one-month interval. Wilcoxon rank sum test was used to compare the sharpness of perfusion defects and radiation dose among modalities.
Strong correlations for relative lobar perfusion using linear regression analysis and Pearson's correlation coefficient (r=0.93) were found. Bland-Altman analysis revealed a −0.10 bias, with limits of agreement between [−6.01; 5.81]. With respect to SPECT- CT as standard of reference, the sensitivity, specificity, PPV, NPV, accuracy for lobar perfusion defects were 89.4% (95%
CI: 82.6−93.4%), 96.5% (95% CI: 92.1−98.5%), 95.6% (95% CI:
90.9−97.8%), 91.4% (95% CI: 85.6−94.9%) and 93.0% (95% CI:
87.6−96.1%) respectively. High level of agreement was found for morphology and severity of perfusion defects between modalities (Kappa=0.84 and 0.86 respectively) and on DECT images among readers (Kappa=0.94 and 0.89 respectively). A significantly sharper delineation of perfusion defects was found on DECT images (P<0.0001) using a significantly lower equivalent dose of 4.1±2.3 (SD) mSv (range: 1.9–11.85mSv) compared to an equivalent dose of 5.3±1.1 (SD) mSv (range: 2.8–7.3mSv) for SPECT-CT, corresponding to a 21.2% dose reduction (P=0.0004).
DECT imaging shows strong quantitative correlations and qualitative agreements with SPECT-CT for the evaluation of lung perfusion.</abstract><cop>France</cop><pub>Elsevier Masson SAS</pub><pmid>32173289</pmid><doi>10.1016/j.diii.2020.02.006</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-3345-1599</orcidid><orcidid>https://orcid.org/0000-0003-0314-4010</orcidid><orcidid>https://orcid.org/0000-0002-5096-4698</orcidid><orcidid>https://orcid.org/0000-0001-9053-8127</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Comparative study Emission-Computed Life Sciences Lung Perfusion Single-Photon Tomography X-Ray Computed/methods |
| title | Head-to-head comparison of lung perfusion with dual-energy CT and SPECT-CT |
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