The workflow of radiomics. Image courtesy of Yixin Wang

The workflow of radiomics. Image courtesy of Yixin Wang 


June 24, 2022 — Recently, a collaborated research team led by Prof. LI Hai and Hongzhi Wang from Hefei Institutes of Physical Science of Chinese Academy of Sciences (CAS) proposed an interpretable radiomic model for predicting radiotherapy treatment response in patients with brain metastases

The results were published in European Radiology

Radiomics refers to extracting high-throughput radiomic features from medical images to assist clinical decision-making. These radiomic features can reflect the biological information of tumors, which cannot be obtained directly through conventional image interpretation. Therefore, machine learning-based methods can rely on in-depth data mining to obtain additional knowledge about tumor heterogeneity. Currently, there is no accurate prediction model of radiotherapy treatment response for patients with brain metastases in clinical practice. 

In this research, the team proposed an interpretable radiomic model for predicting radiotherapy treatment response in patients with brain metastases by combining radiomics and SHAP methods to solve this clinical problem. 

Yixin Wang, the first author of the paper, explained how they finished the whole process. At first, the research team extracted the radiomic features from the magnetic resonance imaging (MRI) images of patients with brain metastases before radiotherapy. Then they used the machine learning method to build the radiomic model. In the end, they explained the model using the game theory-based SHAP, which is helpful for the formulation of precise radiotherapy for patients with brain metastases. 

The model had good performance, and the prediction results in the external validation group also showed that the model can be generalizability. At the same time, the SHAP method could realize the interpretability and visualization of the model and avoid the "black box" effect of traditional machine learning algorithms, which was beneficial for clinicians to understand the model and promote the use of the model. 

This work was supported by the Key Research and Development Program of Anhui Province, the Collaborative Innovation Cultivation Fund of Hefei, Big Science Center of CAS, and the Key Clinical Cultivation Specialty of Hefei Cancer Hospital of CAS. 

For more information: https://english.hf.cas.cn/ 

Related Brain Metastases Content: 

PET Imaging Adds Valuable Information to Brain Metastasis Monitoring 

Blue Earth Diagnostics Announces Dosing of Initial Patient in Phase 3 REVELATE Clinical Trial of 18F-Fluciclovine PET Imaging for Detection of Recurrent Brain Metastases 

Radiosurgery Reduces Cognitive Decline Without Compromising Survival for Patients with 4+ Brain Metastases 

ASTRO Issues Clinical Guideline on Radiation Therapy for Brain Metastases 


Related Content

Feature | ASTRO | Christine Book

September 26, 2023 — Ahead of the 65th American Society for Radiation Oncology Annual Meeting, ASTRO 2023, ITN’s ...

Time September 26, 2023
arrow
News | Prostate Cancer

September 22, 2023 — According to an accepted manuscript published in the American Journal of Roentgenology (AJR) ...

Time September 22, 2023
arrow
Feature | Radiation Oncology

The radiation oncology community lost a leader this past summer, with the passing of Jay Loeffler, MD, FACR, FASTRO. He ...

Time September 21, 2023
arrow
Feature | Proton Therapy | By Christine Book

An overview of significant developments in proton therapy, over just the past six months, reinforces the pace of ...

Time September 21, 2023
arrow
News | Artificial Intelligence

September 20, 2023 — Medical imaging artificial intelligence (AI) company Annalise.ai has announced that the results ...

Time September 20, 2023
arrow
News | Radiation Therapy

September 20, 2023 — RefleXion Medical, Inc., a therapeutic oncology company and 3B Pharmaceuticals (3BP) GmbH, a ...

Time September 20, 2023
arrow
News | Artificial Intelligence

September 11, 2023 — Lunit, a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, is ...

Time September 11, 2023
arrow
News | PET-CT

September 8, 2023 — Positron Corporation, a leading molecular imaging medical device company, is pleased to announce ...

Time September 08, 2023
arrow
News | Ultrasound Imaging

September 8, 2023 — When diagnosing and treating cancer patients, the dynamics of blood flow to and from a suspected ...

Time September 08, 2023
arrow
News | ASTRO

September 7, 2023 — American Society for Radiation Oncology (ASTRO) President Jeff Michalski, MD, MBA, FASTRO, will join ...

Time September 07, 2023
arrow
Subscribe Now