Radiomic Precision Metrics (RPM™)
AI-Enabled Precision Imaging and Segmentation
Translating radiomics into personalized action
At the core of HealthMyne’s integrated solution suite resides our industry-leading AI-enabled Precision Imaging and Segmentation software — HealthMyne RPM. An innovative solution for quick and easy extraction of volumetric and other quantitative radiomic metrics from imaging data to inform research, clinical management, and treatment development.
- Reduces clinical variability by leveraging AI-enabled 3D segmentation and intelligent contouring
- Leverages proprietary algorithms and deep learning
- Translates groundbreaking information into research and clinical practice
- Informs personalized patient management and cancer care treatment decisions
- Powers critical radiomic-informed workflow solutions to coordinate care treatment and therapy response
“We have found that measuring volume and tracking volume metrics over time provides valuable information for our research. HealthMyne’s semi-automated segmentation in lung lesions is easy to use and performs well. Having a tool that makes it easy to segment, report and track volumetric information and other quantitative data is essential in our work as we assess and predict outcomes.”
-NCI Designated Comprehensive Cancer Center
Radiomics: the bridge between medical imaging & personalized care
Once a lesion or tumor is segmented, users have easy access to thousands of validated radiomic metrics for use in research or clinical practice.
HealthMyne RPM provides access to radiomic metrics proven to be predictive and prognostic indicators. HealthMyne’s research and clinical workflows make it easy to identify and extract actionable radiomic data for new discoveries, treatment development, and collaboration. Developing imaging biomarkers and clinical signatures from novel radiomic data informs real world evidence and precision medicine — enabling truly personalized care.
Accuracy and Validation
HealthMyne is validated through compliance with industry standards for radiomics. HealthMyne develops radiomic features in accordance with the IBSI (Image Biomarker Standards Initiative) and the American College of Radiology's QIBA (Quantitative Imaging Biomarkers Alliance). Additionally, HealthMyne RPM is validated through our clinical clients and research partners, as well as other sources of third-party validation, including the University of Pennsylvania Perelman School of Medicine's Biomedical Image Analysis Challenges.
HealthMyne achieved first place in volume contouring accuracy
HealthMyne Radiomic and Imaging Biomarker Research Supported
Go beyond the long and short
Evidence-based radiomic metrics such as volume, density, and mass at your fingertips
Radiomic metrics such as volume, mass, and density have extensive published data exhibiting their value beyond the Long and Short in oncology care. Unfortunately, these valuable data points are difficult to extract and until now were mostly unavailable for care decisions or treatment response evaluation.
HealthMyne’s RPM solution extracts thousands of radiomic features when a lesion is segmented and makes evidence‑based information such as volume, density, mass, percent change, doubling time, and texture immediately available.
CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer
A study published in BMC Cancer in 2020 reported that a team from the First Affiliated Hospital of Sun...
Multi-Window CT Based Radiomics Features are Valuable Predictors of Indolent Lung Cancers
Hong Lu, MD and colleagues at Moffitt Cancer Center reported that quantitative radiomic signatures showed the potential to reveal...