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Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation
OBJECTIVES: To assess the clinical utility of dual-energy CT (DE-CT)–derived iodine concentration (IC) and effective Z (Z(eff)) in addition to conventional CT attenuation (HU) for the discrimination between primary lung cancer (LC) and pulmonary metastases (PM) from different primary malignancies. M...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813728/ https://www.ncbi.nlm.nih.gov/pubmed/32856165 http://dx.doi.org/10.1007/s00330-020-07195-9 |
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author | Deniffel, Dominik Sauter, Andreas Fingerle, Alexander Rummeny, Ernst J. Makowski, Marcus R. Pfeiffer, Daniela |
author_facet | Deniffel, Dominik Sauter, Andreas Fingerle, Alexander Rummeny, Ernst J. Makowski, Marcus R. Pfeiffer, Daniela |
author_sort | Deniffel, Dominik |
collection | PubMed |
description | OBJECTIVES: To assess the clinical utility of dual-energy CT (DE-CT)–derived iodine concentration (IC) and effective Z (Z(eff)) in addition to conventional CT attenuation (HU) for the discrimination between primary lung cancer (LC) and pulmonary metastases (PM) from different primary malignancies. 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(eff), and conventional HU values were extracted and normalized to the thoracic aorta. Differences between groups were assessed by pairwise Welch’s t test. Correlation and linear regression analyses were used to examine the relationship of imaging parameters in LC and PM. Diagnostic accuracy was measured by the area under receiver operator characteristic curve (AUC) and validated based on resampling methods. 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(eff) (r = 0.91), followed by IC and HU (r = 0.76) and Z(eff) and HU (r = 0.73). Diagnostic models combining IC or Z(eff) with HU (IC+HU: AUC = 0.73; Z(eff)+HU: AUC = 0.69; IC+Z(eff)+HU: AUC = 0.73) were not significantly different and outperformed individual parameters (IC: AUC = 0.57; Z(eff): AUC = 0.57; HU: AUC = 0.55) in diagnostic accuracy (p < 0.05, respectively). CONCLUSION: DE-CT-derived IC or Z(eff) and conventional HU represent complementary imaging parameters, which, if used in combination, may improve the differentiation between LC and PM. 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07195-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7813728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-78137282021-01-25 Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation Deniffel, Dominik Sauter, Andreas Fingerle, Alexander Rummeny, Ernst J. Makowski, Marcus R. Pfeiffer, Daniela Eur Radiol Oncology OBJECTIVES: To assess the clinical utility of dual-energy CT (DE-CT)–derived iodine concentration (IC) and effective Z (Z(eff)) in addition to conventional CT attenuation (HU) for the discrimination between primary lung cancer (LC) and pulmonary metastases (PM) from different primary malignancies. 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(eff), and conventional HU values were extracted and normalized to the thoracic aorta. Differences between groups were assessed by pairwise Welch’s t test. Correlation and linear regression analyses were used to examine the relationship of imaging parameters in LC and PM. Diagnostic accuracy was measured by the area under receiver operator characteristic curve (AUC) and validated based on resampling methods. 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(eff) (r = 0.91), followed by IC and HU (r = 0.76) and Z(eff) and HU (r = 0.73). Diagnostic models combining IC or Z(eff) with HU (IC+HU: AUC = 0.73; Z(eff)+HU: AUC = 0.69; IC+Z(eff)+HU: AUC = 0.73) were not significantly different and outperformed individual parameters (IC: AUC = 0.57; Z(eff): AUC = 0.57; HU: AUC = 0.55) in diagnostic accuracy (p < 0.05, respectively). CONCLUSION: DE-CT-derived IC or Z(eff) and conventional HU represent complementary imaging parameters, which, if used in combination, may improve the differentiation between LC and PM. 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07195-9) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-08-28 2021 /pmc/articles/PMC7813728/ /pubmed/32856165 http://dx.doi.org/10.1007/s00330-020-07195-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Oncology Deniffel, Dominik Sauter, Andreas Fingerle, Alexander Rummeny, Ernst J. Makowski, Marcus R. Pfeiffer, Daniela Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation |
title | Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation |
title_full | Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation |
title_fullStr | Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation |
title_full_unstemmed | Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation |
title_short | Improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy CT–derived biomarkers with conventional CT attenuation |
title_sort | improved differentiation between primary lung cancer and pulmonary metastasis by combining dual-energy ct–derived biomarkers with conventional ct attenuation |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813728/ https://www.ncbi.nlm.nih.gov/pubmed/32856165 http://dx.doi.org/10.1007/s00330-020-07195-9 |
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