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Related Experiment Video

Updated: Jun 11, 2026

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

Volume assessment accuracy in computed tomography: a phantom study.

Nicolas D Prionas¹, Shonket Ray, John M Boone

¹Department of Radiology, University of California Davis Medical Center, Sacramento, CA, USA. ndprionas@ucdavis.edu

Journal of Applied Clinical Medical Physics

|July 2, 2010

Summary

This summary is machine-generated.

Accurate tumor volume measurement using computed tomography (CT) requires thin slices and specific reconstruction kernels. Thinner slices and lung kernels yield more precise volumetric analysis, crucial for cancer imaging advancements.

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Area of Science:

Medical Imaging
Radiology
Oncology

Background:

The cancer imaging field is transitioning from linear tumor measurements to 3D volume evaluation.
Accurate tumor volume assessment is critical for effective cancer treatment monitoring.

Purpose of the Study:

To assess the accuracy of computed tomography (CT) for measuring tumor volumes.
To evaluate the impact of slice thickness, field of view, and reconstruction kernels on CT volume accuracy.

Main Methods:

A gelatin phantom with polymethylmethacrylate (PMMA) spheres (1.6–25.4 mm) was scanned using thin-slice CT.
Image analysis involved varying slice thicknesses (0.625–5.0 mm), fields of view, and CT kernels (standard, lung, bone).
Grayscale thresholding segmented spheres for volume calculation, evaluating 1800 volumes.

Main Results:

Smaller slice thickness and larger sphere diameters improved volume measurement accuracy.
Volume measurements were consistently smaller than actual volumes, with underestimates increasing with slice thickness (18% for 0.625 mm to 39% for 5.0 mm).
Reconstruction kernel significantly impacted accuracy (p < 0.0001), with the lung kernel showing the least error.

Conclusions:

CT volumetric accuracy is influenced by slice thickness and reconstruction kernel choice.
Thin slices (0.625 mm) and lung kernels are recommended for precise CT tumor volume analysis.
Findings guide CT protocol optimization for quantitative volumetric tumor assessment.