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SOSORT Conference: Isico in the front row

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Once again, ISICO receives the acceptance, in the form of an oral presentation or a poster, of all eight abstracts submitted for the next annual international conference SOSORT that will be held from May 1 to May 4 in Boston, United States.

This is a reconfirmation with full marks for Isico, among the best researchers in the world in the rehabilitation treatment of spinal pathologies.
The following abstracts will be presented, where the first authors Dr. Fabio Zaina and Dr. Carlotte Kiekens, physiatrists, Michele Romano, director of physiotherapy, Giulia Fregna, physiotherapist, are from Isico further to Claudio Cordani, a physiotherapist.

– Normative data for radiographic sagittal parameters in asymptomatic population from childhood to adulthood: a systematic search and review (oral presentation)

– Lessons learned on trunk neurophysiology and motor control from adolescent idiopathic scoliosis. A scoping review (poster)

– Influence of specific interventions on bracing compliance in adolescents with idiopathic scoliosis. A systematic review of the literature including sensors’ monitoring (oral presentation)

– Can currently used questionnaires like ODI (and SRS-22) discriminate patients with scoliosis in a population with chronic back pain? (oral presentation)

– Personal and clinical determinants of brace wearing time in adolescents with idiopathic scoliosis (oral presentation)

– Convexity orientation of single scoliotic curves. Are they as we have always been taught? Verification of 4470 single curves (oral presentation)

– Suspected high prevalence and gender difference of scoliotic curves with the apex at T12 (poster)

– PREPARE: Personalized rehabilitation via novel AI patient stratification strategies – the case for idiopathic scoliosis during growth (poster).

One of the 8 abstracts presented is linked to the European project PREPARE, in which ISICO takes part.

PREPARE Rehab aims to provide healthcare professionals with valuable insights and tools to predict better and stratify patients, ultimately leading to more personalized and effective rehabilitation interventions. Artificial Intelligence (AI) may help predict treatment outcomes and improve rehabilitation strategies for Idiopathic Scoliosis.

“By combining different factors that influence treatment success, AI-based models can provide a better understanding of the natural progression of the disease and the factors that determine the effectiveness of treatments. This allows us to personalize therapies better and avoid both over-treatment and under-treatment  – explains Dr. Carlotte Kiekens, one of the researchers of this project. With its ability to analyze large amounts of data and utilize deep learning techniques, AI offers a comprehensive approach to predicting functional prognosis and setting goals in Individual Rehabilitation Projects (IRPs)”.
In this study, data from over 21 thousand patients were taken into consideration. What do we expect to achieve?
“Three results: a clinical decision support system to be used by clinicians to make shared decisions with their patients and families, integrating big data and thus providing real-time insights; the development of innovative methods and models for categorizing patients into different groups based on specific criteria – ends Dr. Kiekens – and a roadmap that outlines the steps and requirements for ensuring compliance with medical device regulations.  These expected results indicate a comprehensive approach to improving healthcare through the integration of advanced technology, data analytics, and regulatory compliance measures”.

SOSORT Award: Isico is back on the podium!

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And once again, the winner is… Isico! For the fifth consecutive year, our institute has been awarded the prestigious SOSORT Award, recognising our innovative and cutting-edge research focused on Artificial Intelligence in the rehabilitation treatment of the spine. The winning research, titled “Developing a new tool for scoliosis screening in a tertiary specialist setting using artificial intelligence: a retrospective study on 10,813 patients,” was one of the eight Isico studies presented at the Sosort conference held in Melbourne, Australia, a few weeks ago.

This prize shows the quality of research conducted at Isico, combining scientific evidence with daily clinical practise to enhance rehabilitation treatment for patients worldwide. Dr. Francesco Negrini, a physiatrist and author of the study, explains the motivation behind the research: “We sought to explore ways to reduce the need for radiographs while ensuring accurate and timely scoliosis screening. Through collaboration with engineers in Zurich, we employed advanced analysis methods using artificial intelligence to develop a model that accurately identifies cases warranting X-rays.”

This international collaboration enabled Isico to harness innovative technologies and present research able to achieve this prestigious recognition. Dr. Negrini further emphasises the significance of the prize, stating, “I am immensely satisfied with this achievement. It reaffirms the validity and excellence of Isico’s scientific dedication, paving the way for a reduction in the number of X-rays prescribed to patients while maintaining optimal care.”

https://en.isico.it/isico/ricerca/pdf/ID00665.pdf

Scoliosis screening: the ISICO study on artificial intelligence in the running for the SOSORT Award

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Developing a new tool for scoliosis screening in a tertiary specialist setting using artificial intelligence: a retrospective study on 10,813 patients is one of the ISICO studies due to be presented at the next SOSORT conference, which will take place in Melbourne, Australia. The fact that the study is also a candidate for the SOSORT Award consolidates the standing of ISICO, which in recent years has not only participated with its research but also been awarded this prestigious prize on several occasions. 

In recent years, we have seen an increasing body of evidence supporting the efficacy of conservative treatment (e.g., exercises, soft and rigid braces) for adolescent idiopathic scoliosis (AIS), because treating a skeletally immature spine conservatively is certainly more effective and gives better results. The use of the conservative approach, however, has to be based on accurate and sensitive early screening for the condition, which often involves the use of X-rays.

What can be done to continue screening patients while at the same time making less use of X-rays? “Although technological improvements have, in recent years, made it possible to reduce the radiation dose in radiographic examinations, it is not possible to completely eliminate the long-term risk of cancer due to the stochastic effect of even low doses of radiation,” explains Dr Francesco Negrini, ISICO physiatrist and author of the research. “This is why we set out to analyse whether adding other rapid and reliable clinical parameters to the angle of trunk rotation (ATR°) might improve scoliosis screening in terms of sensitivity and specificity, making it possible to limit the use of X-rays to cases in which it is indispensable.”

How was the research conducted? The researchers looked at 10,813 patients between the ages of 4 and 18 who underwent clinical and radiological evaluation for scoliosis at a tertiary clinic specialising in spinal deformities. After excluding patients who wore a brace, had secondary scoliosis, or had no hump, 7,378 cases remained and were included in the analysis. In these cases, the following information was collected: ATR°, hump (mm), visible asymmetry of the waist, scapulae and shoulders, family history, sex, BMI, age, menarche (yes/no), and location of the curve. “At this point, we applied advanced analysis methods involving the use of artificial intelligence to try and create a model that would allow us to accurately select the cases needing to be X-rayed,” Dr Negrini goes on, “and we identified ATR°, hump (mm) and visible waist asymmetry as the clinical parameters best able to accurately classify Cobb angle measurements.”

On the basis of this conclusion, the researchers were able to affirm that classification models obtained through artificial intelligence may effectively improve non-invasive screening for AIS, thereby making it possible to reduce the X-ray exposure of healthy young individuals. “On the basis of the positive results obtained in the study, we may, in the near future, be able to develop a very flexible and user-friendly tool” says Dr Negrini. “This would allow doctors working in this specialised field to decide to prescribe radiographic imaging only when it is strictly necessary.”

https://en.isico.it/isico/ricerca/pdf/ID00665.pdf