Overcome the challenges of spinal surgery using UNiD™ ASI as a solution to help you in your daily spinal surgery practice.

Standard of care challenges in pediatric and adult deformity

Pre-operative planning mitigates risk of surgical and realignment failure as well as revision surgery.

However it is facing challenges such as:

  • Inter-patient variability
  • Complex mathematical formulas
  • Complicated instrumentation decision making
  • Intra-spine surgeon variability in surgical planning and preferences

Precise alignment of the rod to an individual patient’s sagittal profile is challenging because of:

  • Operator-dependant error
  • Rod contouring variability between surgeons
  • Manual bending process that is not easily reproducible

Malalignment of the rod to the spine can lead to:

  • Rod fracture/breakage due to biomechanical overload
  • Overbending, or the creation of notches that can create points of weakness thereby reducing its endurance
  • Reduction of the rod’s fatigue strength, mechanical integrity and yield strength and stiffness

For all references, refer to the UNID™ ASI value summary

UNiD ASI value summary thumbnail image

“In deformity we still have lots of complications, mechanical with PJK, pseudoarthrosis, or malalignment, and the revision rate remains important.“

Prof. Emmanuelle Ferrero
Georges Pompidou European Hospital
Paris, France

“I realized the added value that new technologies can bring, like reducing complications.“
 

Dr. Kariman Abelin
Medico Surgical Center of Les Massues
Lyon, France

The importance of planning in deformity cases

It is important to have appropriate pre-operative planning measures in place in order to produce the most optimal outcomes.1

UNiD™ ASI technology aims to support surgeons in the planning step of every surgery

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“I think it is very important that in the pre-op planning and surgical strategy we define the correct and the perfect curve of the rod.”

Prof. Erik Van de Kelft
Sint-Niklaas Moerland
Antwerpen, Belgium

“UNiD™ ASI is really helping us plan our cases far in advance.”
 

Prof. Brice Ilharreborde
CHU Robert Debré
Paris, France

Sagittal balance parameters

Significant correlations have been found in adult spinal deformity (ASD) between sagittal lumbo-pelvic parameters and functional outcomes2,3.
The analysis of the global postural balance of the patient is really essential” Prof Franke. 

UNiD™ ASI provides you with sagittal balance analyses for your cases and simulation of planned options so you can make your decision.

Watch Prof. Franke’s masterclass on sagittal balance and learn more about:

  • Spine biomechanics
  • Key factors defining spinal alignment
  • Surgical applications
  • Literature on sagittal balance

Improving spine treatment with data and AI

Collecting data is an important collective effort toward improving spine outcomes. 

AI will increasingly become an essential tool in the pre-operative, intraoperative, and post-operative phases of adult and pediatric spinal deformity surgery.

Each case simulation uses artificial intelligence — backed by data science — to generate predictive models allowing the surgeon to visualize the post-operative compensatory mechanisms most likely to occur following surgery.

While the field is still relatively new, AI has clear potential to improve patient outcomes, decrease complications, reduce cost and waste, and assist surgeons with construct planning.2

UNiD Alternate Software image
Prof. Ilharreborde circle image

“I think data collection is only starting. I think we will be able to create a huge database which will be very interesting not only for me, but for everyone… This is going to be the key part of the UNiD™ ASI experience.”

Prof. Brice Ilharreborde
CHU Robert Debré
Paris, France

Dr Plais circle image

“Predictive analytics is already bringing promising results to surgery, especially as a prognostic tool for the time-to-event risk of major complication, hospital readmission and unplanned reoperation.”

Dr. Nicolas Plais
Hospital Universitario San Cecilio
Granada, Spain

Mosnier circle image

“Our approach with UNiD™ ASI is different… It is more to be able to predict radiological outcomes following a specific surgical strategy.”

Thomas Mosnier, Ph.D.
UNiD™ ASI R&D Director
Lyon, France

Contact us for more information

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References

1

Pre-operative planning: When, why, and how. Monish et al. Seminar in Spine Surgery. 2023.

2

The emerging role of artificial intelligence in adult spinal deformity. Akosman et al. Seminar in Spine Surgery. (34). 2022.

3

Sagittal alignment is the most dominant radiographic predictor of patient outcomes (substantiation: Glassman SD, Bridwell K, Dimar JR, Horton W, Berven S and Schwab F, The Impact of Positive Sagittal Balance in Adult Spinal Deformity. Spine. 2005.

4

Glassman SD, Berven S, Bridwell K, Horton W, Dimar JR. Correlation of radiographic parameters and clinical symptoms in adult scoliosis. Spine. 2005 Mar 15;30(6):682-8.

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