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Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
Published on: July 29, 2013
Tumor size on computed tomography scans: is one measurement enough?
A H Dachman1, P M MacEneaney, A Adedipe
1Department of Radiology, Pritzker School of Medicine, The University of Chicago, IL 60637, USA. ahdachma@midway.uchicago.edu
Cancer
|February 15, 2001
Summary
For colorectal hepatic metastases, using the maximum axial dimension is as effective as bidimensional or tridimensional measurements for estimating tumor volume. This simplifies tumor size reporting without losing accuracy.
Area of Science:
- Radiology
- Oncology
- Medical Imaging Analysis
Background:
- Bidimensional tumor measurements are commonly used as surrogates for actual tumor volume.
- Current clinical practice often relies on these indirect methods for assessing tumor burden.
Purpose of the Study:
- To evaluate the added benefit of bidimensional or tridimensional tumor measurements compared to unidimensional measurements.
- To determine the most accurate and efficient method for estimating tumor volume in colorectal hepatic metastases.
Main Methods:
- Analysis of 69 colorectal hepatic metastases across 19 computed tomography (CT) scans from 9 patients.
- Standard tumor volume determined using the "summation of areas" technique.
- Correlation of maximum axial dimension, product of greatest axial dimensions, and various geometric volume estimates (sphere, ellipsoid, cube) with standard volume.
Main Results:
- Maximum axial dimension and the product of greatest axial dimensions showed equal high correlation (r=0.93) with standard tumor volume.
- Geometric formulas for spheres and ellipsoids tended to underestimate tumor volume.
- The cube formula overestimated tumor volume compared to the standard method.
Conclusions:
- No significant added benefit exists in using bidimensional or tridimensional measurements over the maximum axial dimension for reporting tumor size.
- The maximum axial dimension provides a sufficiently accurate and simpler surrogate for tumor volume in this context.

