Mr. Xiaochen Zhu Profile

Xiaochen Zhu

at George Mason Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 16 March 2020 Presentation + Paper

Simulation of multi-reader multi-case study data with realistic ROC performance characteristics

Xiaochen Zhu, Weijie Chen

Proceedings Volume 11316, 113160M (2020) https://doi.org/10.1117/12.2550545

KEYWORDS: Computer simulations, Data modeling, Monte Carlo methods, Performance modeling, Mathematical modeling, Statistical analysis, Diagnostics, Statistical modeling

Read Abstract +

Multi-reader multi-case (MRMC) studies are widely used in assessing medical imaging and computer-aided diagnosis devices to demonstrate the generalizability of diagnostic performance to both the population of patient cases and the population of physician readers. Simulation of MRMC study data plays an important role in validating MRMC data analysis methods or sizing a pivotal study based on pilot data. The popular Roe and Metz simulation model is a linear mixed-effect model that models a human reader's latent decision variable in assessing patient's likelihood of disease as a sum of fixed modality effect, random reader effect, random case effect, random interaction effects, and a random error. The fixed effect is represented by a mean parameter and each random effect is represented by the variance parameter of a zero-mean Gaussian distribution. The purpose of this paper is to develop a method to set these parameters such that the simulated data have realistic ROC performance characteristics (mean AUC, variance components of AUC, and inter-reader/inter-modality correlations). To this end, we derived quasi-closed-form expressions to express the mean AUC and its U-statistic variance components as functions of the simulation model parameters. We then developed a numerical algorithm to solve the simulation model parameters from the mean AUC and its U-statistic variance components. Since the mean AUC and its U-statistic variance components can be estimated from real-world reader study data, simulated data have similar performance characteristics with the real-world data. Simulation studies were conducted to verify our parameter transformation algorithm.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years