= Lee G. Deneault
{c}
\b[<Lee G. Deneault>] coauthored the 1994 primary experiment relating image-derived ventricular <area>, measured <pressure> and balloon-reference volume. The publisher gives the full name, and the paper's abstract describes automated boundary detection linked to simultaneous computerized pressure-area acquisition.<Estimation of left ventricular compliance using on-line echocardiographic automated border detection and pressure data by John Gorcsan III and others>[Publisher full byline; abstract, instrumentation and data acquisition]{ref}
This work addresses an important distinction between <correlation> and numerical agreement. A surrogate can track changes extremely consistently while retaining a scale or offset error. For original reference volumes 10, 20 and 30 mL, let a hypothetical estimator give $\widehat V=1.2V+5$ mL. It yields 17, 29 and 41 mL. The <Pearson correlation coefficient> is exactly one, yet every estimate is biased upward and the change scale is 20% high.
Likewise, a strong relation between pressure-area and pressure-volume measurements does not by itself make area and volume interchangeable. Their units and geometric conversion differ. A useful validation compares the actual relationship, its repeatability and the conditions under which the surrogate is applied.
The primary abstract reports both correlations and fitted-curve comparisons, then states that clinical application remains to be validated.<Estimation of left ventricular compliance using on-line echocardiographic automated border detection and pressure data by John Gorcsan III and others>[Abstract, regression comparisons and final qualification]{ref} This establishes Deneault's participation in a concrete imaging-validation study without attributing the illustrative error model or an individually invented role to him.
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