Can visual assessment of blood flow patterns by dynamic contrast-enhanced computed tomography distinguish between malignant and benign lung tumours?
| Autor: | Jesper Thygesen, Hans Henrik Torp Madsen, Henrik Hager, Stefan Walbom Harders, Torben Riis Rasmussen, Hanne Marie Nellemann, Finn Rasmussen, Niels Trolle Andersen |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Pathology Radiography perfusion imaging Blood volume Perfusion scanning 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Lung neoplasms Journal Article medicine X-ray computed tomography Lung medicine.diagnostic_test business.industry Research General Medicine Blood flow Exact test medicine.anatomical_structure 030220 oncology & carcinogenesis Histopathology Radiology business Chest radiograph radiography |
| Zdroj: | Harders, S W, Madsen, H H T, Nellemann, H M, Rasmussen, T R, Thygesen, J, Hager, H, Andersen, N T & Rasmussen, F 2017, ' Can visual assessment of blood flow patterns by dynamic contrast-enhanced computed tomography distinguish between malignant and benign lung tumours? ', Acta Radiologica Open, vol. 6, no. 5, 2058460117710053 . https://doi.org/10.1177/2058460117710053 Harders, S W, Madsen, H H, Nellemann, H M, Rasmussen, T R, Thygesen, J, Hager, H, Andersen, N T & Rasmussen, F 2017, ' Can visual assessment of blood flow patterns by dynamic contrast-enhanced computed tomography distinguish between malignant and benign lung tumors? ', Acta Radiologica Open, vol. 6, no. 5, 2058460117710053 . https://doi.org/10.1177/2058460117710053 Acta Radiologica Open |
| DOI: | 10.1177/2058460117710053 |
| Popis: | Background Dynamic contrast-enhanced computed tomography (DCE-CT) is a tool, which, in theory, can quantify the blood flow and blood volume of tissues. In structured qualitative analysis, parametric color maps yield a visual impression of the blood flow and blood volume within the tissue being studied, allowing for quick identification of the areas with the highest or lowest blood flow and blood volume. Purpose To examine whether DCE-CT could be used to distinguish between malignant and benign lung tumors in patients with suspected lung cancer. Material and Methods Fifty-nine patients with suspected lung cancer and a lung tumor on their chest radiograph were included for DCE-CT. The tumors were categorized using structured qualitative analysis of tumor blood flow patterns. Histopathology was used as reference standard. Results Using structured qualitative analysis of tumor blood flow patterns, it was possible to distinguish between malignant and benign lung tumors (Fisher–Freeman–Halton exact test, P = 0.022). The inter-reader agreement of this method of analysis was slight to moderate (kappa = 0.30; 95% confidence interval [CI] = 0.13–0.46). Conclusion DCE-CT in suspected lung cancer using structured qualitative analysis of tumor blood flow patterns is accurate as well as somewhat reproducible. However, there are significant limitations to DCE-CT. |
| Databáze: | OpenAIRE |
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