# RECIST Applied to Realistic Tumor Models

**Authors:** Zachary H. Levine, Benjamin R. Galloway, Adele P. Peskin

PMC · DOI: 10.6028/jres.116.013 · 2011-06-01

## TL;DR

This paper evaluates how well RECIST, a tumor size measurement method, works for realistic tumor shapes compared to simple ellipsoids.

## Contribution

The novelty is analyzing RECIST accuracy using geometric models of realistic tumors made of ellipsoids.

## Key findings

- RECIST is less accurate for realistic tumor models than for ellipsoids.
- Tumor shape complexity affects the reliability of RECIST volume predictions.

## Abstract

RECIST (Response Evaluation Criteria in Solid Tumors) is a linear measure intended to predict tumor size in medical computed tomography (CT). In this work, using purely geometrical considerations, we estimate how well RECIST can predict the volume of randomly-oriented tumor models, each composed of the union of ellipsoids. The principal conclusion is that RECIST is likely to work less well for realistic tumors than for ellipsoids.

## Full-text entities

- **Diseases:** lung tumors (MESH:D008175), Solid Tumors (MESH:D009369), benign lesions (MESH:D001932)

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC4550336/full.md

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Source: https://tomesphere.com/paper/PMC4550336