AI Article Synopsis
- - Thyroidectomy is a common surgical procedure, and a new noninvasive tool called hyperspectral imaging (HSI) could help surgeons differentiate between important tissues in the neck during operations.
- - Researchers developed a supervised classification method to accurately identify and distinguish the parathyroid, thyroid, and recurrent laryngeal nerve from other surrounding tissues and surgical materials.
- - The method showed a decent average accuracy of 68% in identifying various tissues using a support vector machine, but further testing on a larger group of patients is needed to confirm these results.
Article Abstract
Background: Thyroidectomy is one of the most commonly performed surgical procedures. The region of the neck has a very complex structural organization. It would be beneficial to introduce a tool that can assist the surgeon in tissue discrimination during the procedure. One such solution is the noninvasive and contactless technique, called hyperspectral imaging (HSI).
Methods: To interpret the HSI data, we implemented a supervised classification method to automatically discriminate the parathyroid, the thyroid, and the recurrent laryngeal nerve from surrounding tissue(muscle, skin) and materials (instruments, gauze). A leave-one-patient-out cross-validation was performed.
Results: The best performance was obtained using support vector machine (SVM) with a classification and visualization in less than 1.4 seconds. A mean patient accuracy of 68% ± 23% was obtained for all tissues and material types.
Conclusions: The proposed method showed promising results and have to be confirmed on a larger cohort of patient data.
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| http://dx.doi.org/10.1002/rcs.2121 | DOI Listing |
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