Determining Tumor Volumes for Lung Cancer Using 4D CT
Author Information
Author(s): Ezhil Muthuveni, Vedam Sastry, Balter Peter, Choi Bum, Mirkovic Dragan, Starkschall George, Chang Joe Y
Primary Institution: The University of Texas M. D. Anderson Cancer Center
Hypothesis
What is the optimal approach to delineating patient-specific internal gross target volumes from 4D CT data for lung cancer treatment?
Conclusion
The IGTVMIP-Modified approach is recommended for more accurate delineation of internal gross tumor volumes in lung cancer.
Supporting Evidence
- IGTVMIP and IGTV2Phases were significantly smaller than IGTVAllPhases.
- IGTVMIP-Modified matched best with IGTVAllPhases.
- Volumetric underestimation was consistently lower using IGTVMIP-Modified.
Takeaway
Doctors used special scans to see how lung tumors move while breathing, and found a better way to measure the tumor size to help treat it.
Methodology
The study analyzed 4D-CT images of 27 lung cancer patients using four different techniques to delineate internal gross tumor volumes.
Limitations
The study did not consider inter or intra observer variability in tumor delineation.
Participant Demographics
Patients included 17 with stage I and 10 with stage III non-small-cell lung cancer.
Statistical Information
P-Value
p < 0.001
Statistical Significance
p<0.006
Digital Object Identifier (DOI)
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