Opulus Lymphoma Precision
Overview
Opulus™ Lymphoma Precision is an AI-powered software tool developed by Roche Molecular Systems. It is designed to assist physicians in analyzing whole-body FDG-PET/CT scans of patients already diagnosed with FDG-avid lymphomas. The tool utilizes a machine learning methodology to automate the labor-intensive task of quantifying disease burden.
Key functionalities include the automatic segmentation and visualization of lymphoma lesions, as well as the calculation of the total metabolic tumor volume (TMTV). This supports physicians by reducing manual workload and facilitating more efficient interpretation of PET/CT images. It’s important to note that Opulus™ Lymphoma Precision is an assistive tool; it does not screen for or diagnose lymphoma, and the final clinical decisions remain with the interpreting radiologist. Physicians have the option to accept or reject the output generated by the device.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered software tool for PET/CT analysis
- Analyzes whole-body FDG-PET/CT scans
- Automatically segments lymphoma lesions
- Visualizes lymphoma lesions
- Calculates total metabolic tumor volume (TMTV)
- Uses machine learning methodology for lesion localization and segmentation
- Assists in efficient interpretation of PET/CT images
- Physician has option to accept/reject output
- Aids in quantifying disease burden
Use Cases
- Quantifying disease burden in patients already diagnosed with FDG-avid lymphomas
- Assisting physicians in the interpretation of FDG-PET/CT images for lymphoma
- Automating labor-intensive tasks of lesion quantification in PET/CT scans
- Visualization of suspected lymphoma lesions
- Calculation of total volume of all lesions in a body
What Physicians Need to Know
Opulusu2122 Lymphoma Precision is an assistive AI tool designed to streamline the quantification of disease burden in FDG-avid lymphoma patients from PET/CT scans. Remember that it is not a diagnostic or screening tool, and the final clinical interpretation and decision-making remain the responsibility of the trained interpreting physician. Leverage its automated segmentation and TMTV calculation capabilities to enhance efficiency in your workflow, but always critically review and validate the generated output.
The tool is designed to integrate with existing imaging infrastructure by accepting standard DICOM format PET/CT scans. This suggests a relatively straightforward integration into current PACS/RIS environments, minimizing the need for extensive hardware changes. Ensure your imaging systems are configured to provide the necessary DICOM input for optimal performance.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Not disclosed — N/A |
| Deployment | Software device, likely integrated with radiology workstations or PACS. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
1 AI-estimated Opulus™ Lymphoma Precision received 510(k) clearance (K243863) from the United States Food and Drug Administration (FDA) on May 30, 2025, as an assistive software device for analyzing whole-body FDG-PET/CT scans in patients with FDG-avid lymphomas. |
| Integrations | |
| EHR | Not specified |
| Specialties | Nuclear Medicine, Oncology, Radiology |
What the Web Says
Opulusu2122 Lymphoma Precision is an AI-powered software tool developed by Roche Molecular Systems, Inc. designed to assist physicians in analyzing whole-body FDG-PET/CT scans for patients already diagnosed with FDG-avid lymphomas. It automates the segmentation and visualization of lymphoma lesions and quantifies the Total Metabolic Tumor Volume (TMTV), aiming to improve efficiency and aid in interpretation. The algorithm is assistive and requires review by a trained radiologist, who makes the final decision on image interpretation.
Overall: PositiveStrengths
- Automates the labor-intensive task of quantifying disease burden in FDG-PET/CT scans.
- Aids in the efficiency of medical professionals by automatically generating tumor boundary Regions of Interest (ROIs) and quantifying TMTV.
- Assists trained interpreting physicians with visualization of suspected lesions and calculation of total volume of all lesions.
- Uses machine learning methodology to localize and segment FDG-PET activity of lymphoma lesions.
- Demonstrated good agreement with manual measurements of total metabolic tumor volume and lesion segmentation accuracy in validation studies.
- Raises no new questions of safety or effectiveness and is substantially equivalent to predicate devices.
Limitations
- Does not screen for or diagnose lymphoma; it is intended for patients already diagnosed with FDG-avid lymphoma.
- The algorithm is assistive and requires a radiologist's review for final interpretation.
- The user does not have the ability to modify the device output.
- No specific predicate devices were specified in the FDA documentation.
- No reviews from healthcare IT, tech reviewers, G2, or Capterra were found.
- Reddit discussions about lymphoma treatments do not specifically mention Opulusu2122 Lymphoma Precision.
Based on reviews from: accessdata.fda.gov, X-ray Interpreter, BioPharma BoardRoom, Clinical Research Strategies, MDPI, Trustpilot, Powered Research, Reddit
Last updated: 2026-07-19
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