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Published on: July 29, 2013
Area--a consistent method to evaluate pulmonary tumor size on multidetector CT imaging: an intraobserver and
Lu Huang1, Liang Wang, Wenzhen Zhu
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095# Jiefang Ave, Wuhan, Hubei, 430030,PR China.
Clinical Imaging
|September 3, 2013
Summary
Area measurement of pulmonary tumors using multidetector computed tomography (MDCT) is the most reproducible method. This technique provides accurate tumor dimension assessment, outperforming other measurement approaches.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Pulmonary tumors require accurate dimension measurement for effective management.
- Multidetector computed tomography (MDCT) is a key imaging modality for thoracic evaluation.
- Various methods exist for measuring tumor dimensions on MDCT, with varying reliability.
Purpose of the Study:
- To compare the agreement of unidimensional, bidimensional, area, and volume measurements of pulmonary tumors on MDCT.
- To identify the most reliable method for assessing pulmonary tumor dimensions using MDCT.
Main Methods:
- Thirty patients with pulmonary tumors underwent thoracic MDCT.
- Four radiologists independently measured tumor dimensions (length, width, height, area, volume).
- Intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC) were used to assess intra- and interobserver variability.
Main Results:
- Both intraobserver and interobserver agreements were higher for area measurements compared to other methods.
- Area measurement demonstrated the highest ICC and CCC values in both intraobserver and interobserver analyses.
- Intraobserver agreement (ICC=0.992, CCC=0.997) and interobserver agreement (ICC=0.981, CCC=0.982) for area were excellent.
Conclusions:
- Area measurement on MDCT is the most reproducible method for assessing pulmonary tumor dimensions.
- This method offers accurate tumor dimension assessment, enhancing diagnostic reliability in oncology.
