Related Experiment Video
Updated: May 7, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Dynamic contrast-enhanced CT in suspected lung cancer: quantitative results
S W Harders1, H H Madsen, H M Nellemann
1Department of Radiology, Aarhus University Hospital, Aarhus, Denmark.
Dynamic contrast-enhanced CT (DCE-CT) cannot reliably distinguish between malignant and benign lung tumors. Quantitative analysis of DCE-CT perfusion parameters lacks reproducibility and clinical utility for lung cancer characterization.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Lung cancer diagnosis often requires differentiating malignant from benign tumors.
- Dynamic contrast-enhanced CT (DCE-CT) is a potential imaging modality for tumor characterization.
Purpose of the Study:
- To evaluate the clinical utility of quantitative DCE-CT for distinguishing malignant from benign lung tumors.
- To assess the reproducibility of quantitative DCE-CT parameters in lung tumors.
Main Methods:
- Quantitative analysis of DCE-CT using mathematical modeling and perfusion software.
- Placement of large and small regions of interest (ROIs) within tumors.
- Analysis of quantitative (blood flow, blood volume) and semi-quantitative (peak enhancement) parameters.
Main Results:
- Significant differences were observed between large and small ROI measurements.
- Quantitative and semi-quantitative parameters could not differentiate between malignant and benign tumors.
- DCE-CT measurements exhibited broad limits of agreement, indicating poor reproducibility and potential clinical unreliability.
Conclusions:
- Quantitative DCE-CT is not currently a clinically usable method for characterizing lung tumors.
- Further research is needed to address the reproducibility issues of DCE-CT in lung tumor assessment.
More Related Videos
02:09Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
Published on: April 12, 2024
06:51Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer
Published on: July 21, 2018