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1000 Titel
  • Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation
1000 Autor/in
  1. Deniffel, Dominik |
  2. Sauter, Andreas |
  3. Fingerle, Alexander |
  4. Rummeny, Ernst J. |
  5. Makowski, Marcus R. |
  6. Pfeiffer, Daniela |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-08-28
1000 Erschienen in
1000 Quellenangabe
  • 31(2):1002-1010
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00330-020-07195-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813728/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Objectives!#!To assess the clinical utility of dual-energy CT (DE-CT)-derived iodine concentration (IC) and effective Z (Z!##!Methods!#!DE-CT scans of 79 patients with LC (3 histopathologic subgroups) and 89 patients with PM (5 histopathologic subgroups) were evaluated. Quantitative IC, Z!##!Results!#!Significant differences between subgroups of LC and PMs were noted for all imaging parameters, with the highest number of significant pairs for IC. In univariate analysis, only IC was a significant diagnostic feature for discriminating LC from PM (p = 0.03). All quantitative imaging parameters correlated significantly (p < 0.0001, respectively), with the highest correlation between IC and Z!##!Conclusion!#!DE-CT-derived IC or Z!##!Key points!#!• Individual quantitative imaging parameters derived from DE-CT (iodine concentration, effective Z) and conventional CT (HU) provide complementary diagnostic information for the differentiation of primary lung cancer and pulmonary metastases. • A combination of conventional HU and DE-CT parameters enhances the diagnostic utility of individual parameters.
1000 Sacherschließung
lokal Tomography, X-Ray Computed [MeSH]
lokal Lung Neoplasms/diagnostic imaging [MeSH]
lokal Radiography, Dual-Energy Scanned Projection [MeSH]
lokal Sensitivity and Specificity [MeSH]
lokal Tomography X-ray computed
lokal Humans [MeSH]
lokal Lung cancer
lokal Neoplasms lung
lokal Biomarkers [MeSH]
lokal Oncology
lokal Contrast media
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RGVuaWZmZWwsIERvbWluaWs=|https://orcid.org/0000-0003-4394-862X|https://frl.publisso.de/adhoc/uri/RmluZ2VybGUsIEFsZXhhbmRlcg==|https://frl.publisso.de/adhoc/uri/UnVtbWVueSwgRXJuc3QgSi4=|https://frl.publisso.de/adhoc/uri/TWFrb3dza2ksIE1hcmN1cyBSLg==|https://frl.publisso.de/adhoc/uri/UGZlaWZmZXIsIERhbmllbGE=
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