Charles Fenimore

TL;DR: The goal of this process was to identify as completely as possible all lung nodules in each CT scan without requiring forced consensus and is expected to provide an essential medical imaging research resource to spur CAD development, validation, and dissemination in clinical practice.

TL;DR: This consensus-based article describes multiple, image modality-independent means to assess the relative performance of algorithms for measuring tumor change in response to therapy and provides an overview of other promising generic analytic methods that can be used to assess change in heterogeneous tumors.

TL;DR: This report addresses a procedural template for the qualification of quantitative imaging biomarkers that is cost-effective for stakeholders while simultaneously advancing the public health by promoting the use of measures that prove effective.

TL;DR: The study shows that radiologist-controlled 3D volumetric lesion sizing can not only achieve smaller bias but also achieve similar or smaller variability compared to 1D sizing, especially for complex lesion shapes.

TL;DR: Issues and methods that are specific to the measurement of change in tumor volume as measured from computed tomographic images and how these would relate to the establishment of CT tumor volumetrics as a biomarker of patient response to therapy are described.