The Feasibility and Accuracy of Holographic Navigation with Laser Crosshair Simulator Registration on a Mixed-Reality Display.

Addressing conventional neurosurgical navigation systems' high costs and complexity, this study explores the feasibility and accuracy of a simplified, cost-effective mixed reality navigation (MRN) system based on a laser crosshair simulator (LCS). A new automatic registration method was developed, featuring coplanar laser emitters and a recognizable target pattern. The workflow was integrated into Microsoft's HoloLens-2 for practical application. The study assessed the system's precision by utilizing life-sized 3D-printed head phantoms based on computed tomography (CT) or magnetic resonance imaging (MRI) data from 19 patients (female/male: 7/12, average age: 54.4 ± 18.5 years) with intracranial lesions. Six to seven CT/MRI-visible scalp markers were used as reference points per case. The LCS-MRN's accuracy was evaluated through landmark-based and lesion-based analyses, using metrics such as target registration error (TRE) and Dice similarity coefficient (DSC). The system demonstrated immersive capabilities for observing intracranial structures across all cases. Analysis of 124 landmarks showed a TRE of 3.0 ± 0.5 mm, consistent across various surgical positions. The DSC of 0.83 ± 0.12 correlated significantly with lesion volume (Spearman rho = 0.813, p < 0.001). Therefore, the LCS-MRN system is a viable tool for neurosurgical planning, highlighting its low user dependency, cost-efficiency, and accuracy, with prospects for future clinical application enhancements.

Smartphone navigated endoscopic port surgery of hypertensive basal ganglia hemorrhage.

OBJECTIVE: Endoscopic port surgery is a promising alternative for the surgical treatment of intracerebral hypertensive basal ganglia hemorrhage (HBGH). The precise location of hematoma is a crucial step for surgery. The authors developed a simple, low-cost navigation method using an Android smartphone for the localization of HBGH. METHODS: All patients' CT DICOM data were processed with an open-source software (3D Slicer). The volume of hematoma, angle, and length of trajectory were calculated automatically. A smartphone running the Android system and the Compass APP was used to help insert the inner introducer. An endoscopic port system was applied to create a working channel for neuro-endoscopic hematoma evacuation. RESULTS: There were 27 patients enrolled in this study (mean age 56). All patients underwent successful surgical evacuation of HBGH with neuroendoscopic evacuation. The mean time taken for the surgical plan was 4 min. The total operation time from skin incision to final suture was 82.6 min. Compared with standard neuronavigation, mean error of trajectory was 5.1 mm. The mean preoperative hematoma volume was 44.8 ml. The optimal trajectory angle averaged 39.5°and the length was 71 mm. Intraoperative blood loss was about 45 ml. Post-operative hematoma volume was 2.9 ml, and the average evacuation rate was 93.6%. One week after surgery, the mean GCS score was improved from 8.2 to 13.8 (p < 0.01). CONCLUSIONS: This simple, low-cost navigation method using 3D Slicer, an Android smartphone with the Compass APP, helps precisely insert the endoscopic working channel to the desired point, which is crucial for satisfactory evacuation of HBGH.

A novel 3D-vision-based collaborative robot as a scope holding system for port surgery: a technical feasibility study.

OBJECTIVE: A clear, stable, suitably located vision field is essential for port surgery. A scope is usually held by hand or a fixing device. The former yields fatigue and requires lengthy training, while the latter increases inconvenience because of needing to adjust the scope. Thus, the authors innovated a novel robotic system that can recognize the port and automatically place the scope in an optimized position. In this study, the authors executed a preliminary experiment to test this system's technical feasibility and accuracy in vitro. METHODS: A collaborative robotic (CoBot) system consisting of a mechatronic arm and a 3D camera was developed. With the 3D camera and programmed machine vision, CoBot can search a marker attached to the opening of the surgical port, followed by automatic alignment of the scope's axis with the port's longitudinal axis so that optimal illumination and visual observation can be achieved. Three tests were conducted. In test 1, the robot positioned a laser range finder attached to the robot's arm to align the sheath's center axis. The laser successfully passing through two holes in the port sheath's central axis defined successful positioning. Researchers recorded the finder's readings, demonstrating the actual distance between the finder and the sheath. In test 2, the robot held a high-definition exoscope and relocated it to the setting position. Test 3 was similar to test 2, but a metal holder substituted the robot. Trained neurosurgeons manually adjusted the holder. The manipulation time was recorded. Additionally, a grading system was designed to score each image captured by the exoscope at the setting position, and the scores in the two tests were compared using the rank-sum test. RESULTS: The CoBot system positioned the finder successfully in all rounds in test 1; the mean height errors ± SD were 1.14 mm ± 0.38 mm (downward) and 1.60 mm ± 0.89 mm (upward). The grading scores of images in tests 2 and 3 were significantly different. Regarding the total score and four subgroups, test 2 showed a more precise, better-positioned, and more stable vision field. The total manipulation time in test 2 was 20 minutes, and for test 3 it was 52 minutes. CONCLUSIONS: The CoBot system successfully acted as a robust scope holding system to provide a stable and optimized surgical view during simulated port surgery, providing further evidence for the substitution of human hands, and leading to a more efficient, user-friendly, and precise operation.

Dual-energy computed tomography could reliably differentiate metastatic from non-metastatic lymph nodes of less than 0.5 cm in patients with papillary thyroid carcinoma.

BACKGROUND: Dual-energy computed tomography (DECT) has been widely applied to detect lymph node (LN) and lymph node metastasis (LNM) in various cancers, including papillary thyroid carcinoma (PTC). This study aimed to quantitatively evaluate metastatic cervical lymph nodes (LNs) <0.5 cm in patients with PTC using DECT, which has not been done in previous studies. METHODS: Preoperative DECT data of patients with pathologically confirmed PTC were retrospectively collected and analyzed between May 2016 and June 2018. A total of 359 LNs from 52 patients were included. Diameter, iodine concentration (IC), normalized iodine concentration (NIC), and the slope of the energy spectrum curve (λHU) of LNs in the arterial and the venous phases were compared between metastatic and non-metastatic LNs. The optimal parameters were obtained from the receiver operating characteristic (ROC) curves. The generalized estimation equation (GEE) model was used to evaluate independent diagnostic factors for LNM. RESULTS: A total of 139 metastatic and 220 non-metastatic LNs were analyzed. There were statistical differences of quantitative parameters between the two groups (P value 0.000-0.007). The optimal parameter for diagnosing LNM was IC in the arterial phase, and its area under the curve (AUC), sensitivity, and specificity were 0.775, 71.9%, and 73.6%, respectively. When the three parameters of diameter, IC in the arterial phase, and NIC in the venous phase were combined, the prediction efficiency was better, and the AUC was 0.819. The GEE results showed that LNs located in level VIa [odds ratio (OR) 2.030, 95% confidence interval (CI): 1.134-3.634, P=0.017], VIb (OR 2.836, 95% CI: 1.597-5.038, P=0.000), diameter (OR 2.023, 95% CI: 1.158-3.532, P=0.013), IC in the arterial phase (OR 4.444, 95% CI: 2.808-7.035, P=0.000), and IC in the venous phase (OR 5.387, 95% CI: 3.449-8.413, P=0.000) were independent risk factors for LNM in patients with PTC. CONCLUSIONS: DECT had good diagnostic performance in the differentiation of cervical metastatic LNs <0.5 cm in patients with PTC.

LSM14A inhibits porcine reproductive and respiratory syndrome virus (PRRSV) replication by activating IFN-ß signaling pathway in Marc-145.

Porcine reproductive and respiratory syndrome virus (PRRSV) is considered as a significant contributor to porcine reproductive and respiratory syndrome, one of the most economically important diseases for the pig industry worldwide. Emerging evidence indicates that pattern recognition receptors play key roles in recognizing pathogen-associated molecular patterns. In the present study, we investigated the effects of a novel pattern recognition receptor LSM14A in regulating PRRSV replication. Results in Marc-145 cells and porcine alveolar macrophages (PAMs) indicated that overexpression of porcine LSM14A effectively inhibited the replication of PRRSV, and knockdown of LSM14A by siRNA enhanced the replication of PRRSV. Mechanistically, LSM14A up-regulated the activities of IFN-ß and ISRE promoters, enhanced the production of IFN-ß, RIG-I, and ISGs, and inhibited the production of the inflammatory cytokines of TNF-α and IL-6 mRNA. Additionally, the expression pattern of LSM14A during the infection of PRRSV in Tongcheng and Large White pigs was suppressed by the PRRSV challenge. Taken together, our results suggest that LSM14A is an important PRR that inhibits PPRSV replication by inducing IFN-ß signaling and restraining inflammatory responses. Furthermore, the down-regulation of LSM14A by PRRSV might represent an important mechanism by which PRRSV invades the host. Our study sheds light on the possibility of developing a new strategy to control this disease.