Handheld Autofluorescence Imaging System for Intraoperative Parathyroid Detection.

Introduction: Hypoparathyroidism and hypocalcemia are common complications after thyroid surgery. Parathyroids may be incidentally damaged or removed because they are difficult to distinguish from surrounding tissue. Intraoperative optical technologies such as near infrared autofluorescence (NIRAF) are becoming increasingly popular to help identify parathyroids during thyroid surgery. The objective of this video is to introduce a developing NIRAF device called hANDY-i and compare the device with existing Food and Drug Administration approved technology. Materials and Methods: hANDY-i is developed by Optosurgical, LLC. The device consists of a coaxial 785 nm laser excitation module and coregistred red-green-blue and near-infrared cameras. Operation of the device and output from preliminary intraoperative use are shown. Results: hANDY-i performs well, producing intuitive side-by-side NIRAF and RGB images of the operating field. The device demonstrates high contrast between suspected parathyroid glands and surrounding tissue. Operating theater, overhead lamps, and surgical headlights can all be used with the device. The device is also shown to be effective in both in vivo and ex vivo applications. Conclusions: The prototype described advance NIRAF technology by reducing light sensitivity and improving output representation. In doing so, hANDY-i makes NIRAF more accessible and less obstructive to the surgical workflow. Sources of Funding: This study was supported by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under Award Number R43EB030874. Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.Yoseph Kim is an employee of Optosurgical LLC. Jaepyeong Cha has ownership stake in Optosurgical LLC. For all other authors, no competing financial interests exist.Runtime of video: 7 mins 14 secs.

TOETVA parathyroid autofluorescence detection: hANDY-i endoscopy attachment.

Background: Treatment options for thyroid pathologies have expanded to include scarless and remote access methods such as the transoral endoscopic thyroidectomy vestibular approach (TOETVA). Currently, no standardized methods exist for locating parathyroid glands (PGs) in patients undergoing TOETVA, which can lead to parathyroid injury and subsequent hypocalcemia. This early feasibility study describes and evaluates the hANDY-i endoscopic attachment for detecting PGs in transoral thyroidectomy. Methods: We used a prototype parathyroid autofluorescence imager (hANDY-i) that was mounted to a 10-mm 0-degree endoscope. The device delivers a split screen view of Red-green-blue (RGB) and near-infrared autofluorescence (NIRAF) which allows for simultaneous anatomical localization and fluorescence visualization of PGs during endoscopic thyroid dissection. Results: One cadaveric case and two patient cases were included in this study. The endoscopic hANDY-i imaging system successfully visualized PGs during all procedures. Conclusion: The ability to leverage parathyroid autofluorescence during TOETVA may lead to improved PG localization and preservation. Further human studies are needed to assess its effect on postoperative hypocalcemia and hypoparathyroidism.

Parathyroid gland detection using an intraoperative autofluorescence handheld imager - early feasibility study.

Introduction: Parathyroid glands may be compromised during thyroid surgery which can lead to hypoparathyroidism and hypocalcemia. Identifying the parathyroid glands relies on the surgeon's experience and the only way to confirm their presence was through tissue biopsy. Near infrared autofluorescence technology offers an opportunity for real-time, non-invasive identification of the parathyroid glands. Methods: We used a new research prototype (hANDY-I) developed by Optosurgical, LLC. It offers coaxial excitation light and a dual-Red Green Blue/Near Infrared sensor that guides anatomical landmarks and can aid in identification of parathyroid glands by showing a combined autofluorescence and colored image simultaneously. Results: We tested the imager during 23 thyroid surgery cases, where initial clinical feasibility data showed that out of 75 parathyroid glands inspected, 71 showed strong autofluorescence signal and were correctly identified (95% accuracy) by the imager. Conclusions: The hANDY-I prototype demonstrated promising results in this feasibility study by aiding in real-time visualization of the parathyroid glands. However, further testing by conducting randomized clinical trials with a bigger sample size is required to study the effect on levels of hypoparathyroidism and hypocalcemia.

A coaxial excitation, dual-red-green-blue/near-infrared paired imaging system toward computer-aided detection of parathyroid glands in situ and ex vivo.

Early and precise detection of parathyroid glands (PGs) is a challenging problem in thyroidectomy due to their small size and similar appearance to surrounding tissues. Near-infrared autofluorescence (NIRAF) has stimulated interest as a method to localize PGs. However, high incidence of false positives for PGs has been reported with this technique. We introduce a prototype equipped with a coaxial excitation light (785 nm) and a dual-sensor to address the issue of false positives with the NIRAF technique. We test the clinical feasibility of our prototype in situ and ex vivo using sterile drapes on 10 human subjects. Video data (1287 images) of detected PGs were collected to train, validate and compare the performance for PG detection. We achieved a mean average precision of 94.7% and a 19.5-millisecond processing time/detection. This feasibility study supports the effectiveness of the optical design and may open new doors for a deep learning-based PG detection method.

The pattern of neurocritical disorders in multicenter in Khartoum State November 2020 to January 2021.

BACKGROUND: Neurocritical care is a growing subspecialty. It concerns with the management of life-threatening neurological disorders. There is limited information regarding epidemiological data, disease characteristics, variability of clinical care, and in-hospital mortality of neurocritical patients worldwide. OBJECTIVES: To study the pattern of neurocritical disorders in intensive care units. METHODOLOGY: This prospective observational study was conducted on neurocritical patients who were admitted to four intensive care units of major hospitals in Khartoum state during the period from November 2020 to January 2021. RESULTS: Seventy-two neurocritical patients were included in this study, 40 (55.6%) were males and 32(44.4%) were females. Twenty-three (31.9%) patients were with stroke, 12 (16.7%) with encephalitis, 9 (12.5%) with status epilepticus, 6 (8.3%) with Guillain Barre syndrome, and 4(5.6%) with Myasthenia Gravis (MG). Twenty-three patients (39.9%) needed mechanical ventilation (MV), which was the major indication for intensive care unit admission. CONCLUSION: Stroke was the dominant diagnostic pattern requiring intensive care unit admission. Mechanical ventilation was the major indication for admission. Establishing specialized neurocritical intensive care units is highly recommended.

Outcome of neurocritical disorders, a multicenter prospective cross-sectional study.

BACKGROUND: Patients with neurocritical disorders who require admission to intensive care units (ICUs) constitute about 10-15% of critical care cases. OBJECTIVES: To study the outcome of neurocritical disorders in intensive care units. METHODOLOGY: This is a prospective cross-sectional study that was conducted among neurocritical patients who were admitted in four intensive care units of four major hospitals in Khartoum state during the period from November 2020 to March 2021. RESULTS: Seventy-two neurocritical patients were included in this study; 40(55.6%) were males and 32(44.4%) were females. Twenty-one (29.2%) patients fully recovered, 35 (48.6%) partially recovered and 16 (22.2%) died. The mortality of the common neurocritical diseases were as follows: stroke 30.4%, encephalitis (8.3%), status epilepticus (11.1%), Guillain-Barre syndrome (GBS) (16.7%), and myasthenia gravis (MG) (25%). CONCLUSION: This study identified that near two-thirds of the patients required mechanical ventilation. Delayed admission was observed due to causes distributed between the medical side and patient side. The majority of patients were discharged from ICU with partial recovery.