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CoLumbo

CoLumbo is an image analysis software that provides analysis from previously acquired DICOM images to support radiologists in viewing and evaluating lumbar spine images.

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  • MSK
  • Stenosis
  • Image Analysis
  • MRI

Global Impact of Low Back Pain on Disability

Low back pain (LBP) has the highest prevalence globally among musculoskeletal (MSK) disorders and is responsible for the highest proportion of disability adjusted life years among MSK disorders.1

  

AI Lumbar Spine MRI Reading and Reporting

CoLumbo is an image analysis software that provides analysis from previously acquired DICOM images to support radiologists in viewing and evaluating spine images. It provides automatic segmentation, automatic measurements, and assessment of findings and their level of suspicion.

 

Patients with leg and/or back pain or other spine related symptoms or conditions may be referred for L-spine MRI. CoLumbo assists radiologists in reading MRI images of the lumbar spine. It provides information on detected findings and abnormalities. The results are reviewed and confirmed by a radiologist.

Decreasing Costs. Enhancing Visualization. Customization.6

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CoLumbo could potentially decrease the cost per patient examination when considering the radiologist’s hourly rate.

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CoLumbo’s user interface displays measurements of related tissues, such as vertebral body and disk heights, enhancing the visualization and review process for the user.

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A feature of CoLumbo is the complete customization of suspected pathology threshold levels. If multiple hospitals or imaging centers use the same threshold levels standardization in reporting may be achieved.

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Applications Tailored to You

Discover how our tailored service lines and applications can better suit your needs.

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    1 Liu S, Wang B, Fan S, Wang Y, Zhan Y, Ye D. Global burden of musculoskeletal disorders and attributable factors in 204 countries and territories: a secondary analysis of the Global Burden of Disease 2019 study. BMJ Open. 2022;12(6):e062183. Published 2022 Jun 29. doi:10.1136/bmjopen-2022-062183

    2 Lehnen N, Haase R, Faber J, et.al. (2021): Detection of Degenerative Changes on MR Images of the Lumbar Spine with a Convolutional Neural Network: A Feasibility Study. Diagnostics. 2021; 11(5):902. 

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

    4 Georgiev R, Novakova M, Bliznakova K (nd): Artificial Intelligence (AI) Reduces Lumbar Spine MRI Reporting Time

    5 Yang YXC, Yee SY, Tan TSE, et al. An artificial intelligence boost to MRI lumbar spine reporting. European Journal of Radiology. 2024;179:111636.

    6 K241211 (CoLumbo). US Food and Drug Administration. Silver Spring, MD, 2024.

    7 SmartSoft Healthcare. Columbo. IFU version 5, dated 2023-10- 24

     

      Scanslated could potentially save clinician time by reducing imaging-related calls and messages, and streamlining follow-up appointments.7

      A study found that increased patient understanding of radiology reports may lead a to better patient experience.8

      Another study published in August 2024 found patient feedback to be overwhelmingly positive and indicated that the Scanslated report may improve patient-centered outcomes in radiology, such as increasing the patient's knowledge or understanding of their health, allowing patients to feel more prepared for conversations with their healthcare providers, as well as reducing patient anxiety.6

      A study showed that patients showed higher scores of satisfaction with a radiologist that uses a web based interactive report.9

      Research has shown that focusing on the patient experience and partnering with patients in healthcare delivery can improve patient satisfaction, quality of care, and health outcomes.10

      What Customers Are Saying

       

      The application enables identification of small nodules faster and more reliably, particularly for oncological patients.

       

      Terrence Matalon
      MD, Chairman, Diagnostic Radiology at Einstein Medical Center
       

        Currently not available within the Calantic Viewer.

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