NinesMeasure
Overview
NinesMeasure is an artificial intelligence-enabled software tool designed to assist radiologists in analyzing and reviewing adult thoracic computed tomography (CT) images. Originally developed by Nines and subsequently acquired by Sirona Medical, the tool is integrated into Sirona’s cloud-native RadOS platform to support diagnostic workflows.
The tool is built for trained radiologists operating in hospitals, health systems, and private radiology practices. It fits directly into the diagnostic viewing and reporting workflow, helping clinicians evaluate pulmonary nodules.
Notable capabilities of NinesMeasure include:
- Semi-Automated Measurements: Based on a radiologist’s input indicating the location of a pulmonary nodule, the algorithm automatically calculates the long and short axis diameter measurements in the axial plane.
- 2D Segmentation: The tool performs 2D segmentation and measurement on digital imaging and communications in medicine (DICOM) data.
- Inter-Study Consistency: It assists clinicians in tracking and comparing nodule size progression across multiple thoracic studies over a patient’s treatment program.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered lung nodule segmentation
- Automated long and short axis measurement of pulmonary nodules
- Quantitative information on nodule size
- Supports single study or series of studies analysis
- Improves inter-study consistency
- Enhances radiologist workflow efficiency
- Accelerates diagnosis of respiratory diseases
- High accuracy in nodule measurement
Use Cases
- Lung nodule measurement on CT scans
- Monitoring lung nodule size progression over time
- Assisting radiologists in diagnosing respiratory diseases
- Improving efficiency in radiology workflows
What Physicians Need to Know
NinesMeasure offers a significant advantage in radiology by automating the tedious task of lung nodule measurement, freeing up radiologists' time and improving diagnostic turnaround. Its ability to maintain inter-study consistency is crucial for effective patient treatment monitoring. While it enhances efficiency, remember that it's a semi-automatic tool intended to aid, not replace, the radiologist's expert evaluation and final diagnosis. Leverage its integration with PACS for a smoother workflow.
NinesMeasure is built for compatibility with standard PACS environments, ensuring relatively easy integration into existing imaging infrastructure. The acquisition by Sirona Medical means that future integrations and a more unified experience will likely be through Sirona's RadOS platform, which aims to consolidate various radiology applications for enhanced workflow efficiency.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Contact for pricing — Not publicly disclosed; likely enterprise-level licensing |
| Deployment | Cloud-based (integrated with teleradiology practice) and potentially in-house use |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Yes AI-estimated NinesMeasure received 510(k) FDA clearance (K202990) on February 25, 2021, as a Class II radiological image processing system. It is intended for use by trained radiologists to aid in the analysis and review of adult thoracic CT images for lung nodule measurement. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Pulmonology, Radiology |
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NinesMeasure by Nines





