PubMed · 9296589
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F J Burke, C J Lalenik. 1997-07-12. Scientific validity.. https://doi.org/10.1038/sj.bdj.4809448
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BACKGROUND: Bidimensional tumor measurements are used routinely as surrogates for tumor volume. The purpose this study was to determine whether there is any added benefit in bidimensional or tridimensional measurements over a unidimensional measurement. METHODS: Sixty-nine colorectal hepatic metastases on 19 computed tomography scans (1-8 lesions per scan) from 9 patients were analyzed. Five patients contributed 2-4 scans each (mean, 3 scans). The standard volume of these lesions was determined by the "summation of areas" technique. The maximum axial dimension, the product of the greatest axial dimensions, and several volume estimates (based on the volumes of a sphere, an ellipsoid, and a cube) each were correlated with the standard volume. RESULTS: The maximum axial dimension and the product of the greatest axial dimensions correlated equally with tumor volume (correlation coefficient = 0.93). Surrogate measures based on the equations for a sphere and an ellipsoid underestimated tumor volume, whereas the equation for a cube overestimated volume. CONCLUSIONS: When reporting tumor size, there is no significant added benefit in reporting bidimensional or tridimensional measurements over the maximum axial dimension.
The capture-recapture method is useful for the estimation of the incidence and prevalence of a disease if there exist multiple lists that can be linked. Some assumptions have to be fulfilled for the estimate to be adequate. For example, for every list every individual should have the same probability to be on the list, and the lists should be independent. In case of two lists one has to assume that these are independent in order to get an estimate. When three or more lists are available this strong assumption may be mitigated.