AI Predicts Dystonia Therapy Response With 96% Accuracy - medtigo



AI Predicts Dystonia Therapy Response With 96% Accuracy

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According to Science Daily, Dystonia is a neurological disorder that can harm a person’s ability to carry out routine tasks and find fulfillment in life. Despite the scarcity of effective alternative therapies, botulinum toxin (Botox) injections into the afflicted muscles are frequently regarded as first-line therapy.

Unfortunately, injectable treatment does not assist all dystonia patients, and there is currently no standardized technique for assessing which individuals will and will not benefit from therapy before injection.  

According to a study published on November 28 in the Annals of Neurology, researchers at the University of Washington employed an AI system called DystoniaBoTXNet to predict which patients will benefit from botulinum toxin therapy with 96.3% accuracy.

The study’s principal author, Kristina Simonyan, MD, Ph.D., Dr med, is a professor of Otolaryngology-Head & Neck Surgery at Harvard Medical School and the director of Laryngology Research at Mass Eye and Ear, a part of Mass General Brigham.  

“Patients with dystonia receive injections after finding the appropriate dose and injection site to see if botulinum toxin relieves their symptoms. Injections are both uncomfortable and expensive, “in the opinion of Dr. Simonyan. “Some people may feel better after receiving this medication, while others may discontinue treatment after only one injection or never try it.

An AI system might be utilized as a neutral resource to help patients and clinicians make better botulinum toxin treatment decisions, rather than relying on their subjective assessments of the drug’s efficacy.”  

Dystonia’s are a category of neurological illnesses that cause people’s muscles to contract or tense instinctively. This might cause uncontrolled movements, which can be damaging to a person’s physical and emotional well-being. Isolated focal dystonias, which affect the fingers and the vocal cords during the speech, are prevalent.

Blepharospasm, which produces involuntary eyelid twitching, and cervical dystonia, which causes painful contractions of the neck muscles and a painful twisting of the head, are two more instances. Primary or isolated dystonia affects around 35,000 persons per 100,000, likely underestimated due to diagnostic problems.  


To treat focal dystonia’s, injectable botulinum toxins constitute the gold standard. To cease the spasms, the injected muscle is paralyzed. The benefits frequently wear off quickly, and a new injection may be required permanently every three to four months.  

However, not all dystonia patients who receive injections improve. The amount of experience of the injecting doctor or the intricacy of the patient’s symptoms may make a difference. As a result, some patients may receive needless botulinum toxin therapy, while others who benefit from it may forgo it or discontinue it too soon. 

Dr. Simonyan and her colleagues intended to objectively analyze the advantages of botulinum toxin injections before beginning therapy. However, the wide range of possible results rendered this only possible with the assistance of artificial intelligence.

These findings expand on the work of the same team, which previously recognized dystonia in MRI images of patients with 98.8 percent accuracy in 0.36 seconds using a distinct platform called DystoniaNet. According to research, it might take up to ten years for someone with dystonia to acquire a thorough diagnosis.  

DystoniaBoTXNet, a brain biomarker for botulinum toxin effectiveness, discovered eight areas, five of which were already recognized to represent the DystoniaNet diagnostic biomarker.

These overlapping regions may reveal information on their functions in dystonia, which is especially relevant given the long-standing absence of an objective biomarker for diagnosing these diseases.

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