MRgFUS thalamotomy for the treatment of tremor: evaluation of learning curve and operator’s experience impact on the procedural and clinical outcome - Report - MDSpire

MRgFUS thalamotomy for the treatment of tremor: evaluation of learning curve and operator’s experience impact on the procedural and clinical outcome

  • By

  • F. Bruno

  • E. Tommasino

  • L. Pertici

  • V. Pagliei

  • A. Gagliardi

  • A. Catalucci

  • F. Arrigoni

  • P. Palumbo

  • P. Sucapane

  • F. Pistoia

  • C. Marini

  • A. Ricci

  • A. Barile

  • E. Di Cesare

  • A. Splendiani

  • C. Masciocchi

  • February 10, 2023

  • 0 min

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Learning Curve and Operator Experience Impact on MRgFUS Thalamotomy Outcomes

Overview

This study retrospectively analyzed 90 patients undergoing MRgFUS Vim thalamotomy for tremor management, assessing the impact of operator experience on procedural efficiency and clinical outcomes. Findings indicate that increased operator experience correlates with reduced procedure times and improved patient outcomes, highlighting a significant learning curve.

Background

Magnetic Resonance guided Focused Ultrasound Surgery (MRgFUS) Vim thalamotomy is a minimally invasive treatment for tremor in essential tremor (ET) and Parkinson’s disease (PD) patients. It involves high-intensity focused ultrasound targeting thalamic nuclei through the intact skull, requiring multidisciplinary expertise including neuroradiology and neurology. Since FDA approval, MRgFUS has been increasingly adopted, but the influence of operator experience on procedural and clinical outcomes has not been well studied. This study aims to evaluate the learning curve associated with MRgFUS thalamotomy and its effect on treatment efficacy and safety.

Data Highlights

ParameterGroup A (1-30 patients)Group B (31-60 patients)Group C (61-90 patients)
Median Age (years)707070
Patients with ET38 total (distributed across groups)
Patients with PD52 total (distributed across groups)
Left Thalamotomy60 total (distributed across groups)
Right Thalamotomy30 total (distributed across groups)
Skull Density Ratio (SDR) > 0.3Considered suitable for treatment
Fahn-Tolosa-Marin Scale (FTM) Tremor ScoresEvaluated pre- and post-treatment
Hospitalization DaysRecorded per patient
ComplicationsParesthesia, postural instability, hemiparesis, ataxia, dysarthria, motor/facial deficits, dystonia, strength deficit

Key Findings

  • Operator experience significantly reduced patient preparation, pre-treatment planning, and sonication treatment times across the three patient groups.
  • Clinical outcomes, measured by the Fahn-Tolosa-Marin tremor scale, improved with increasing operator experience, with fewer tremor relapses observed in later groups.
  • Complication rates decreased as operators gained experience, indicating improved procedural safety.
  • Skull Density Ratio (SDR) greater than 0.3 was a critical inclusion criterion for treatment suitability, ensuring effective ultrasound transmission.
  • Multidisciplinary collaboration, particularly involving neuroradiologists as primary operators, was essential for procedural success and patient monitoring.

Clinical Implications

Clinicians should recognize the importance of operator experience when implementing MRgFUS Vim thalamotomy, as proficiency directly impacts procedural efficiency and patient outcomes. Structured training and accumulation of procedural volume are recommended to optimize safety and efficacy. Patient selection based on skull density ratio remains crucial for procedural success.

Conclusion

The study demonstrates a clear learning curve in MRgFUS Vim thalamotomy, with operator experience enhancing procedural efficiency and clinical outcomes. These findings support the need for dedicated training and experience accumulation to maximize the benefits of this minimally invasive tremor treatment.

References

  1. FDA Approval and Clinical Trials -- MRgFUS Vim Thalamotomy
  2. Interventional Radiology and Neuroscience Collaboration -- Procedural Techniques
  3. Skull Density Ratio and Treatment Suitability -- Imaging Parameters

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