Purpose |
Create automated measures of canal stenosis on cross-sectional imaging studies of the lumbar spine |
Tag(s) |
|
Panel |
Musculoskeletal |
Define-AI ID |
20050035 |
Originator |
Douglas Mintz |
Lead | Douglas Mintz |
Panel Chair |
Jay Patti |
Panel Reviewers |
Musculoskeletal |
License |
Creative Commons 4.0 |
Status | Public Comment |
RadElement Set | RDES165 |
Having an automated measure of stenosis would improve radiologists' efficiency and consistency in reading cross-sectional spine studies. It could also be the starting point for research, such as the creation of normative data.
A 60 year old patient with back pain comes for a pre-operative lumbar spine CT scan to assess the degrees of bony stenosis.
The CT scan is analyzed by background AI software. The software verifies the numbering of the lumbar spine and provides automated measurement in square millimeters for the spinal canal. A sample image would be provided in order to confirm the algorithm used the correct image. The algorithm should be able to provide a numeric value for the area at the level of L5/S1 disc and sequentially every visible disc level superior to this disc.
The system auto-populates those parts of a report for the reading radiologist to confirm. The radiologist completes the CT report.
Procedure |
CT Lumbar Spine |
View |
.625 mm slices to the lumbar spine |
Age |
14 + |
Note: exclude studies with surgical hardware |
DICOM study
Procedure |
CT Lumbar Spine |
Views |
Volumetric dataset |
Data Type |
DICOM |
Modality |
CT |
Body Region |
Lumbar spine |
Spinal Level Central Canal Area Measurement
RadElement ID |
RDE1135 |
Definition |
Measure spinal level area of the central canal at the level of the disc. the algorithm should be able to provide a numeric value for the area at the level of L5/S1 disc and sequentially every visible disc level superior to this disc. |
Data Type |
Numeric |
Value Set |
N/A |
Units |
mm2 |
Expansion to other parts of the spine (cervical and thoracic) and to other modalities (MRI)
Research potential includes the creation and confirmation of normative data for spinal canal and foraminal areas
Include studies that have surgical hardware