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1000 Titel
  • Dual-layer dual-energy CT-derived pulmonary perfusion for the differentiation of acute pulmonary embolism and chronic thromboembolic pulmonary hypertension
1000 Autor/in
  1. Gertz, Roman Johannes |
  2. Gerhardt, Felix |
  3. Pienn, Michael |
  4. Lennartz, Simon |
  5. Kröger, Jan Robert |
  6. Caldeira, Liliana |
  7. Pennig, Lenhard |
  8. Schömig, Thomas Henning |
  9. Hokamp, Nils Große |
  10. Maintz, David |
  11. Rosenkranz, Stephan |
  12. Bunck, Alexander Christian |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-11-03
1000 Erschienen in
1000 Quellenangabe
  • 34(5):2944-2956
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00330-023-10337-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11126515/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Objectives</jats:title> <jats:p>To evaluate dual-layer dual-energy computed tomography (dlDECT)–derived pulmonary perfusion maps for differentiation between acute pulmonary embolism (PE) and chronic thromboembolic pulmonary hypertension (CTEPH).</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>This retrospective study included 131 patients (57 patients with acute PE, 52 CTEPH, 22 controls), who underwent CT pulmonary angiography on a dlDECT. Normal and malperfused areas of lung parenchyma were semiautomatically contoured using iodine density overlay (IDO) maps. First-order histogram features of normal and malperfused lung tissue were extracted. Iodine density (ID) was normalized to the mean pulmonary artery (MPA) and the left atrium (LA). Furthermore, morphological imaging features for both acute and chronic PE, as well as the combination of histogram and morphological imaging features, were evaluated.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>In acute PE, normal perfused lung areas showed a higher mean and peak iodine uptake normalized to the MPA than in CTEPH (both <jats:italic>p</jats:italic> &lt; 0.001). After normalizing mean ID in perfusion defects to the LA, patients with acute PE had a reduced average perfusion (ID<jats:sub>mean,LA</jats:sub>) compared to both CTEPH patients and controls (<jats:italic>p</jats:italic> &lt; 0.001 for both). ID<jats:sub>mean,LA</jats:sub> allowed for a differentiation between acute PE and CTEPH with moderate accuracy (AUC: 0.72, sensitivity 74%, specificity 64%), resulting in a PPV and NPV for CTEPH of 64% and 70%. Combining ID<jats:sub>mean,LA</jats:sub> in the malperfused areas with the diameter of the MPA (MPA<jats:sub>dia</jats:sub>) significantly increased its ability to differentiate between acute PE and CTEPH (sole MPA<jats:sub>dia</jats:sub>: AUC: 0.76, 95%-CI: 0.68–0.85 vs. MPA<jats:sub>dia</jats:sub> + 256.3 * ID<jats:sub>mean,LA</jats:sub> − 40.0: AUC: 0.82, 95%-CI: 0.74–0.90,<jats:italic> p</jats:italic> = 0.04).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>dlDECT enables quantification and characterization of pulmonary perfusion patterns in acute PE and CTEPH. Although these lack precision when used as a standalone criterion, when combined with morphological CT parameters, they hold potential to enhance differentiation between the two diseases.</jats:p> </jats:sec><jats:sec> <jats:title>Clinical relevance statement</jats:title> <jats:p>Differentiating between acute PE and CTEPH based on morphological CT parameters is challenging, often leading to a delay in CTEPH diagnosis. By revealing distinct pulmonary perfusion patterns in both entities, dlDECT may facilitate timely diagnosis of CTEPH, ultimately improving clinical management.</jats:p> </jats:sec><jats:sec> <jats:title>Key Points</jats:title> <jats:p><jats:italic>• Morphological imaging parameters derived from CT pulmonary angiography to distinguish between acute pulmonary embolism and chronic thromboembolic pulmonary hypertension lack diagnostic accuracy.</jats:italic></jats:p> <jats:p><jats:italic>• Dual-layer dual-energy CT reveals different pulmonary perfusion patterns between acute pulmonary embolism and chronic thromboembolic pulmonary hypertension.</jats:italic></jats:p> <jats:p><jats:italic>• The identified parameters yield potential to enable more timely identification of patients with chronic thromboembolic pulmonary hypertension.</jats:italic></jats:p> </jats:sec>
1000 Sacherschließung
lokal Aged, 80 and over [MeSH]
lokal Aged [MeSH]
lokal Hypertension, Pulmonary/diagnostic imaging [MeSH]
lokal Tomography, X-Ray Computed/methods [MeSH]
lokal Pulmonary Embolism/complications [MeSH]
lokal Contrast Media [MeSH]
lokal Diagnosis, Differential [MeSH]
lokal Chronic thromboembolic pulmonary hypertension
lokal Acute Disease [MeSH]
lokal Sensitivity and Specificity [MeSH]
lokal Male [MeSH]
lokal Chronic Disease [MeSH]
lokal Acute pulmonary embolism
lokal Pulmonary Artery/diagnostic imaging [MeSH]
lokal Pulmonary Embolism/diagnostic imaging [MeSH]
lokal Female [MeSH]
lokal Pulmonary Embolism/physiopathology [MeSH]
lokal Computed tomography
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Retrospective Studies [MeSH]
lokal Computed Tomography Angiography/methods [MeSH]
lokal Middle Aged [MeSH]
lokal Pulmonary Artery/physiopathology [MeSH]
lokal Hypertension, Pulmonary/physiopathology [MeSH]
lokal Pulmonary perfusion
lokal Computed Tomography
lokal Radiography, Dual-Energy Scanned Projection/methods [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-6414-4105|https://frl.publisso.de/adhoc/uri/R2VyaGFyZHQsIEZlbGl4|https://frl.publisso.de/adhoc/uri/UGllbm4sIE1pY2hhZWw=|https://frl.publisso.de/adhoc/uri/TGVubmFydHosIFNpbW9u|https://frl.publisso.de/adhoc/uri/S3LDtmdlciwgSmFuIFJvYmVydA==|https://frl.publisso.de/adhoc/uri/Q2FsZGVpcmEsIExpbGlhbmE=|https://frl.publisso.de/adhoc/uri/UGVubmlnLCBMZW5oYXJk|https://frl.publisso.de/adhoc/uri/U2Now7ZtaWcsIFRob21hcyBIZW5uaW5n|https://frl.publisso.de/adhoc/uri/SG9rYW1wLCBOaWxzIEdyb8OfZQ==|https://frl.publisso.de/adhoc/uri/TWFpbnR6LCBEYXZpZA==|https://frl.publisso.de/adhoc/uri/Um9zZW5rcmFueiwgU3RlcGhhbg==|https://frl.publisso.de/adhoc/uri/QnVuY2ssIEFsZXhhbmRlciBDaHJpc3RpYW4=
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  2. Universitätsklinikum Köln |
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    1000 Förderer Universitätsklinikum Köln |
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