Comparing intraoperative parathyroid identification based on surgeon experience versus near infrared autofluorescence detection – A surgeon-blinded multi-centric study - 29/11/21
Abstract |
Background |
Near infrared autofluorescence (NIRAF) detection has previously demonstrated significant potential for real-time parathyroid gland identification. However, the performance of a NIRAF detection device - PTeye® - remains to be evaluated relative to a surgeon's own ability to identify parathyroid glands.
Methods |
Patients eligible for thyroidectomy and/or parathyroidectomy were enrolled under 6 endocrine surgeons at 3 high-volume institutions. Participating surgeons were categorized based on years of experience. All surgeons were blinded to output of PTeye® when identifying tissues. The surgeon's performance for parathyroid discrimination was then compared with PTeye®. Histology served as gold standard for excised specimens, while expert surgeon's opinion was used to validate in-situ tissues.
Results |
PTeye® achieved 92.7% accuracy across 167 patients recruited. Junior surgeons (<5 years of experience) were found to have lower confidence in parathyroid identification and higher tissue misclassification rate per specimen when compared to PTeye® and senior surgeons (>10 years of experience).
Conclusions |
NIRAF detection with PTeye® can be a valuable intraoperative adjunct technology to aid in parathyroid identification for surgeons.
Le texte complet de cet article est disponible en PDF.Highlights |
• | Identifying parathyroid glands (PGs) during neck operations can be challenging. |
• | This study compared the surgeons' ability in identifying PGs to a device PTeye®. |
• | PTeye® achieved 92.7% accuracy across 167 patients recruited. |
• | Junior surgeons had higher error rate in identifying PGs than seniors and PTeye®. |
• | PTeye® can be a useful adjunct tool to intraoperatively identify PGs in real-time. |
Keywords : Parathyroid glands, Surgical guidance, Thyroidectomy, Parathyroidectomy, Near infrared autofluorescence
Plan
Vol 222 - N° 5
P. 944-951 - novembre 2021 Retour au numéro
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