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Updated: Jun 26, 2025

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use.
Natally Horvat1, Nikolaos Papanikolaou1, Dow-Mu Koh1
1From the Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (N.H.); Department of Radiology, University of São Paulo, São Paulo, Brazil (N.H.); Computational Clinical Imaging Group, Champalimaud Foundation, Portugal (N.P.); and Department of Radiology, Royal Marsden Hospital, Downs Rd, Sutton SM2 5PT, United Kingdom (N.P., D.M.K.).
Radiomics offers significant potential for transforming cancer management through quantitative image analysis. Addressing key challenges in its application is crucial for widespread clinical adoption in oncology.
Area of Science:
- Oncology
- Medical Imaging
- Artificial Intelligence
Background:
- Radiomics, the extraction of quantitative data from medical images, is a rapidly advancing field in oncology.
- It holds potential for enhancing cancer management, including tumor characterization, prognosis, and treatment response assessment.
- However, clinical adoption is hindered by several challenges.
Purpose of the Study:
- To present the translational potential and impact of radiomics in oncology.
- To identify common challenges and errors in radiomics derivation and implementation.
- To propose strategies for overcoming these obstacles and increasing clinical acceptance.
Main Methods:
- Review and perspective on radiomics in oncology.
- Exploration of challenges in study design, standardization, reproducibility, data sharing, and user interface.
- Discussion of strategies and measures for clinical integration.
Main Results:
- Radiomics has the potential to significantly impact cancer management.
- Numerous challenges, including technical, standardization, and data-related issues, impede clinical adoption.
- Strategies for overcoming these challenges are essential for realizing radiomics' full potential.
Conclusions:
- Radiomics presents a promising avenue for improving cancer care through advanced image analysis.
- Addressing identified challenges is critical for successful clinical translation and integration.
- A multi-faceted approach is needed to enhance the use and acceptance of radiomics among stakeholders.
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