Dynamic contrast-enhanced CT in suspected lung cancer: quantitative results
| Autor: | Stefan Walbom Harders, Hans Henrik Torp Madsen, H M Nellemann, Torben Riis Rasmussen, Henrik Hager, N T Andersen, Finn Rasmussen, Jesper Thygesen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Lung Diseases
medicine.medical_specialty Lung Neoplasms Blood volume Models Biological Diagnosis Differential mental disorders Medicine Humans Radiology Nuclear Medicine and imaging In patient Lung Full Paper business.industry Reproducibility of Results General Medicine Blood flow nervous system diseases Dynamic Contrast Enhanced CT Radiographic Image Enhancement medicine.anatomical_structure nervous system Radiology Tomography business Suspected lung cancer Nuclear medicine Tomography X-Ray Computed Perfusion |
| Zdroj: | Harders, S W, Madsen, H H, Nellemann, H M, Rasmussen, T R, Thygesen, J, Hager, H, Andersen, N T & Rasmussen, F 2013, ' Dynamic contrast-enhanced CT in suspected lung cancer : quantitative results ', British Journal of Radiology, vol. 86, no. 1031, pp. 20130257 . https://doi.org/10.1259/bjr.20130257 |
| DOI: | 10.1259/bjr.20130257 |
| Popis: | To examine whether dynamic contrast-enhanced CT (DCE-CT) could be used to characterise and safely distinguish between malignant and benign lung tumours in patients with suspected lung cancer.Using a quantitative approach to DCE-CT, two separate sets of regions of interest (ROIs) in tissues were placed in each tumour: large ROIs over the entire tumour and small ROIs over the maximally perfused parts of the tumour. Using mathematical modelling techniques and dedicated perfusion software, this yielded a plethora of results.First, because of their non-normal distribution, DCE-CT measurements must be analysed using log scale data transformation. Second, there were highly significant differences between large ROI and small ROI measurements (p0.001). Thus, the ROI method used in a given study should always be specified in advance. Third, neither quantitative parameters (blood flow and blood volume) nor semi-quantitative parameters (peak enhancement) could be used to distinguish between malignant and benign tumours. This was irrespective of the method of quantification used for large ROIs (0.13p0.76) and small ROIs (0.084p0.31). Fourth, although there were no indications of systematic reproducibility bias, the 95% limits of agreement were so broad that the risk of disagreement between the measurements could affect the clinical use of the measurements. This lack of reproducibility should be addressed. CONCLUSION AND ADVANCES IN KNOWLEDGE: A quantitative approach to DCE-CT is not a clinically usable method for characterising lung tumours. |
| Databáze: | OpenAIRE |
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