Related Experiment Video
Updated: Jan 31, 2026
07:07
Determining Glucose Metabolism Kinetics Using 18F-FDG Micro-PET/CT
Published on: May 2, 2017
14.4K
Multi-omics deep learning improves FDG PET-CT-based long-term prognostication of breast cancer
Xinglong Liang1,2, Tianyu Zhang1,2, Miguel Braga3
1Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
NPJ Precision Oncology
|January 29, 2026
Summary
A novel deep learning model, MOPS, integrates clinical data and FDG PET-CT scans to significantly improve breast cancer survival prediction. This approach enhances prognostic accuracy for non-metastatic patients, aiding in better risk stratification and treatment planning.
Area of Science:
- Nuclear Medicine
- Oncology
- Artificial Intelligence
Background:
- [18F] fluorodeoxyglucose positron emission tomography - computed tomography (FDG PET-CT) is vital for breast cancer management, including staging and response assessment.
- Quantitative FDG PET-CT parameters show prognostic value in non-metastatic breast cancer, but may miss complex tumor patterns.
- Current methods often rely on limited predefined metrics like SUVmax, MTV, and TLG.
Purpose of the Study:
- To develop and validate a deep learning model for improved prognostic stratification in non-metastatic breast cancer using FDG PET-CT.
- To integrate multi-omics data, clinical information, and medical reports for enhanced survival prediction.
- To ensure clinical applicability through interpretable AI, providing transparent insights for clinicians.
Main Methods:
- A retrospective cohort of non-metastatic breast cancer patients underwent FDG PET-CT.
- A multi-omics prognostic stratification (MOPS) model was developed using CMA and transformer architectures.
- The model integrated clinical data, FDG PET-CT imaging, and medical reports to predict overall survival (OS) and disease-free survival (DFS).
- Interpretability methods were incorporated for causal explanations and visualizations.
Main Results:
- The MOPS model demonstrated superior performance in predicting OS and DFS compared to single-omics models, TN staging, and molecular subtyping.
- Achieved C-index of 0.75 (95% CI: 0.69-0.81) for OS and 0.71 (95% CI: 0.65-0.77) for DFS.
- The model provided interpretable insights, enhancing clinical understanding and trust.
Conclusions:
- Deep learning-based analysis of FDG PET-CT, integrated with clinical data, offers significant prognostic value in non-metastatic breast cancer.
- The MOPS model represents a promising tool for improving patient risk stratification and guiding treatment decisions.
- Interpretable AI in oncology imaging can facilitate clinical adoption and enhance patient care.
More Related Videos
Related Concept Videos
01:05Long-term Depression
33.3K
Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
33.3K
01:14Avoidance Learning and Learned Helplessness
2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K
01:30Radiological Investigation I: X-ray and CT
1.2K
Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
1.2K
01:14Imaging Studies I: CT and MRI
866
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
866
01:27Associative Learning
1.3K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
1.3K
01:22Purposive Learning
503
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
503