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Updated: Sep 7, 2025

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

Building reliable radiomic models using image perturbation.

Xinzhi Teng¹, Jiang Zhang¹, Alex Zwanenburg^2,3,4,5

¹Department of Health Technology and Informatics, The Hong Kong Polytechnic University, 11 Yuk Choi Rd, Hung Hom, Hong Kong SAR, China.

Scientific Reports

|June 17, 2022

Summary

This summary is machine-generated.

A new image perturbation-based method (IPBM) enhances radiomic model reliability for head-and-neck cancer prognosis. This approach offers a novel strategy for assessing and improving model consistency before clinical use.

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Last Updated: Sep 7, 2025

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

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Published on: January 8, 2018

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Area of Science:

Radiomics
Medical Imaging
Cancer Prognostics

Background:

Radiomic model reliability is crucial for clinical translation.
Current assessment methods rely on scarce test-retest or external data.
A novel approach is needed to evaluate radiomic model robustness.

Purpose of the Study:

To develop and validate a novel image perturbation-based method (IPBM) for assessing radiomic model reliability.
To establish a new strategy for building reliable radiomic models.
To evaluate the IPBM's effectiveness in head-and-neck cancer prognosis.

Main Methods:

Developed a radiomic prognostic model for head-and-neck cancer patients.
Applied IPBM to CT images, generating 60 additional samples per cohort.
Assessed model reliability using intra-class correlation coefficient (ICC) on C-index consistency.

Main Results:

Initial model showed moderate reliability (ICC: 0.565-0.596).
Re-trained model using reliable features demonstrated enhanced reliability (ICC: 0.782-0.825).
Results validate the IPBM's capability in improving radiomic model consistency.

Conclusions:

The IPBM is a capable strategy for building reliable radiomic models.
This method provides a novel approach for model reliability assessment.
The IPBM can aid in the clinical translation of radiomic models.