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E-Newsletter • August 2025 |
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Deep Radiomics Boost Chemotherapy Prediction in Breast Cancer
In an era where precision medicine is rapidly transforming cancer treatment paradigms, innovative approaches that harness the power of advanced imaging and AI are at the forefront of oncological research. A recent breakthrough study spearheaded by Jiang, Low, Huang, and their team has demonstrated the potential of 18F-FDG PET/CT-based deep radiomic models to significantly enhance the prediction accuracy of chemotherapy responses in breast cancer patients. This pioneering work, reported in Medical Oncology in 2025, marks a significant stride toward personalized therapeutic strategies, promising to refine clinical decision-making and improve patient outcomes.
The challenge of predicting how breast cancer will respond to chemotherapy remains a critical bottleneck in oncology. Traditional biopsy methods, though informative, offer limited insights and suffer from spatial sampling bias due to the heterogeneous nature of tumors. Radiomics, an emerging discipline that extracts high-dimensional quantitative features from medical images, offers an unprecedented window into tumor biology beyond what is visible to the naked eye. By integrating 18F-FDG PET/CT imaging with deep learning algorithms, the new approach captures complex tumor phenotypes and metabolic patterns associated with treatment efficacy.
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Pediatric Coronary MRI
Coronary anomalies are becoming increasingly prevalent amongst adolescents. Children’s Hospital Los Angeles is setting out to diagnose these issues quicker and more effectively with its new myocardial perfusion imaging MRI.
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Up to the Challenge
AI models have once again demonstrated their effectiveness at reading mammograms against human competitors in a challenge of human vs machine. In the latest challenge, mammograms were interpreted and assessed for diagnostic accuracy.
Study Explores MRI Probe for Ovarian Cancer
Researchers from Jiaxang University announce a study detailing a new MRI probe designed to detect a specific protein found in ovarian epithelial cancer. The article will be available in Frontiers.
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“We envision this as a foundational tool that could standardize and enhance how tumors are targeted in radiation oncology, especially in settings where access to subspecialty expertise is limited.”
— Troy Teo, PhD, an instructor in the department of radiation oncology at Northwestern Medicine, on an AI-based segmentation tool that helps physicians map lung tumors for radiation therapy |
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COVER STORY
Lifting Off
X-ray technology in space breaks new ground for imaging portability and further promotes the health and well-being of astronauts.
FEATURE
A Helping Hand
Numerous emerging AI business platforms aid radiologists in balancing various imaging and administrative tasks.
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