CoLumbo

AI-based diagnostic solution for lumbar MRI interpretation

CoLumbo is an Artificial Intelligence solution that automatically segments, measures, and analyzes the main structures and abnormalities of lumbar MRI. By delivering annotated MRI sequences and pre-filled reports, CoLumbo provides diagnostic comfort and potential time saving in the radiologist’s clinical routine.

On average, 4 out of 5 people will suffer from lower back pain in their lives. With the aging population worldwide, this pathology’s prevalence is steadily rising, while it is already the leading cause of years lived with disability. Over the last decades, the number of lumbar MRIs has been increasing at a much higher rate than the number of radiologists interpreting these images. In France, almost 1 out of 4 MRIs is a lumbar MRI: even though its reading and its reporting may not be systematically complex, they prove to be particularly tedious and repetitive.
CoLumbo

Segmentation, measurements, and diagnosis

CoLumbo provides the segmentation and measurements of the main structures in lumbar MRI. It detects and quantifies the most frequent pathologies, such as bulging, herniation, nerve root impingement, central stenosis with Schizas grading, reduced disc and vertebral height, spondylolisthesis, ...
Two annotated series, axial and sagittal, are directly accessible in the radiologist's viewing console.


Customizable thresholds and reporting

CoLumbo lets you customize pathology detection thresholds and report structure. The report can be sent as a PDF to the PACS, or to the RIS to prefill the radiologist's template.


Time savings: reduces reading and writing time by up to 60%. (5)

Improved diagnostic performance: Reduces errors and omissions by up to 15%.

Automatic generation of a structured, customizable report.

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Publications

  1. Yang, Yi Xian Cassandra et al., An artificial intelligence boost to MRI lumbar spine reporting, European Journal of Radiology, Volume 179, 111636 (July 2024)

  2. Georgiev R, Novakova M, Bliznakova K. Clinical Assessment of CoLumbo Deep Learning System for Central Canal Stenosis Diagnostics. EJMO 2023;7(1):42–48. 

  3. Lehnen, N. C. et al. Detection of Degenerative Changes on MR Images of the Lumbar Spine with a Convolutional Neural Network: A Feasibility Study. Diagnostics 11, 902 (2021).

  4. Georgiev, N. & Asenov, A. Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms. in Computational Methods and Clinical Applications for Spine Imaging  vol. 11397 154–162 (Springer International Publishing, 2019).

  5. Pr. Dr. Radoslav Georgirev, Clinical Evaluation Report CoLumbo (2020)

Regulatory

"CoLumbo medical device is a regulated health product that bears the CE mark, Class IIa. Notified Body: Kiwa Dare BV. n°1912. Manufacturer: Smart Soft Healthcare. CoLumbo is a diagnostic tool and shall not be used alone to recommend medical care for diagnostic purposes. Please read the instructions in the user manual carefully. Please contact contact@incepto-medical.com for more information. Last update: 2024/11/27

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