PURPOSE

Wilms tumor (WT) management has evolved into a multimodality paradigm that includes radiotherapy (RT), usually as an adjuvant or consolidative modality. Protocols are refined to maximize cure and compliance while minimizing acute toxicity and long-term effects. RT technique and timing are two factors that could improve these outcomes. We reviewed the evidence on survival and toxicity outcomes among WT patients with conventional versus advanced RT techniques and early versus delayed RT to inform a Department of Health (DOH) commissioned guideline.

We systematically searched PubMed, EuropePMC, EBSCOHost, HERDIN, systematic review and clinical trial registries and official websites of scientific societies for relevant publications and grey literature. Eligibility screening, risk-of-bias assessment and data extraction were performed using a single-reviewer approach. Given the study and data heterogeneity, only a qualitative synthesis was performed. Certainty of evidence assessment was done using the GRADE approach.

We screened 314 studies and included seven in the review, including a phase 1/2 trial and six retrospective studies, all from first-world countries (US, France, Netherlands), except one from a newly industrialized country (Brazil). The certainty of evidence on the survival and toxicity outcomes with advanced RT techniques was very low. Moderate-certainty evidence supports that giving RT >14 days after surgery leads to increased mortality.

Current evidence does not support the routine use of advanced RT techniques; proper contextualization is necessary. Tertiary centers managing WT should strive to administer RT within 14 days after surgery whenever possible.

OBJECTIVE: To compare the effectiveness of O-arm navigation and C-arm navigation for guiding percutaneous long sacroiliac screws in treatment of Denis type Ⅱ sacral fractures. METHODS: A retrospective study was conducted on clinical data of the 46 patients with Denis type Ⅱ sacral fractures between April 2021 and October 2022. Among them, 19 patients underwent O-arm navigation assisted percutaneous long sacroiliac screw fixation (O-arm navigation group), and 27 patients underwent C-arm navigation assisted percutaneous long sacroiliac screw fixation (C-arm navigation group). There was no significant difference in gender, age, causes of injuries, Tile classification of pelvic fractures, combined injury, the interval from injury to operation between the two groups ( P>0.05). The intraoperative preparation time, the placement time of each screw, the fluoroscopy time of each screw during placement, screw position accuracy, the quality of fracture reduction, and fracture healing time were recorded and compared, postoperative complications were observed. Pelvic function was evaluated by Majeed score at last follow-up. RESULTS: All operations were completed successfully, and all incisions healed by first intention. Compared to the C-arm navigation group, the O-arm navigation group had shorter intraoperative preparation time, placement time of each screw, and fluoroscopy time, with significant differences ( P<0.05). There was no significant difference in screw position accuracy and the quality of fracture reduction ( P>0.05). There was no nerve or vascular injury during screw placed in the two groups. All patients in both groups were followed up, with the follow-up time of 6-21 months (mean, 12.0 months). Imaging re-examination showed that both groups achieved bony healing, and there was no significant difference in fracture healing time between the two groups ( P>0.05). During follow-up, there was no postoperative complications, such as screw loosening and breaking or loss of fracture reduction. At last follow-up, there was no significant difference in pelvic function between the two groups ( P>0.05). CONCLUSION Compared with the C-arm navigation, the O-arm navigation assisted percutaneous long sacroiliac screws for the treatment of Denis typeⅡsacral fractures can significantly shorten the intraoperative preparation time, screw placement time, and fluoroscopy time, improve the accuracy of screw placement, and obtain clearer navigation images.
Humans ; Fracture Fixation, Internal/methods* ; Retrospective Studies ; Imaging, Three-Dimensional ; Bone Screws ; Surgery, Computer-Assisted ; Tomography, X-Ray Computed ; Spinal Fractures/surgery* ; Fractures, Bone/surgery* ; Pelvic Bones/injuries* ; Postoperative Complications ; Neck Injuries

In Vivo Dosimetry ; Radiotherapy Dosage ; Radiometry/methods* ; Electronics ; Radiotherapy, Intensity-Modulated/methods* ; Phantoms, Imaging ; Algorithms

Robotic Surgical Procedures ; Robotics ; Orthopedic Procedures ; Orthopedics ; Surgery, Computer-Assisted

Laryngeal cyst is a cystic lesion occurring in the laryngeal cavity. Large laryngeal cyst in infants and young children can cause laryngeal wheezing and other upper airway obstruction symptoms. In severe cases, it can be even life-threatening and requires timely surgical treatment. Currently, there is a lack of unified clinical treatment strategy for this disease.This article summarizes the surgical methods, the advantages and disadvantages of various surgical methods for laryngeal cysts in recent years. It is recommended that needle aspiration, partial cyst wall resection, radical cyst dissection, transoral robotic surgery or external approach cyst resection should be selected through full communication and evaluation to clarify the extent of the lesion scope and the advantages and disadvantages of surgery.
Infant ; Child ; Humans ; Child, Preschool ; Cysts/diagnosis* ; Laryngeal Diseases/diagnosis* ; Larynx/surgery* ; Robotic Surgical Procedures ; Biopsy, Needle

BACKGROUND: The KangDuo-Surgical Robot-01 (KD-SR-01) system is a new surgical robot recently developed in China. The aim of this study was to present our single-center experience and mid-term outcomes of urological procedures using the KD-SR-01 system. METHODS: From August 2020 to April 2023, consecutive urologic procedures were performed at Peking University First Hospital using the KD-SR-01 system. The clinical features, perioperative data, and follow-up outcomes were prospectively collected and analyzed. RESULTS: A total of 110 consecutive patients were recruited. Among these patients, 28 underwent partial nephrectomy (PN), 41 underwent urinary tract reconstruction (26 underwent pyeloplasty, 3 underwent ureteral reconstruction and 12 underwent ureterovesical reimplantation [UR]), and 41 underwent radical prostatectomy (RP). The median operative time for PN was 112.5 min, 157.0 min for pyeloplasty, 151.0 min for ureteral reconstruction, 142.5 min for UR, and 138.0 min for RP. The median intraoperative blood loss was 10 mL for PN, 10 mL for pyeloplasty, 30 mL for ureteral reconstruction, 20 mL for UR, and 50 mL for RP. All procedures were successfully completed without conversion, and there were no major complications in any patient. The median warm ischemia time of PN was 17.3 min, and positive surgical margin was not noted in any patient. The overall positive surgical margin rate of RP was 39% (16/41), and no biochemical recurrence was observed in any RP patient during the median follow-up of 11.0 months. The surgical success rates of pyeloplasty and UR were 96% (25/26) and 92% (11/12) during the median follow-up of 29.5 months and 11.5 months, respectively. CONCLUSION The KD-SR-01 system appears feasible, safe, and effective for most urological procedures, based on our single-center experience.
Male ; Humans ; Robotic Surgical Procedures/methods* ; Robotics ; Treatment Outcome ; Retrospective Studies ; Ureter/surgery* ; Urologic Surgical Procedures/methods* ; Laparoscopy/methods*

Using digital technologies in concurrently performing missing tooth implantation and preparation of remaining teeth is a solution to reduce the number of visits and improve efficiency. This paper proposes a digital process for simultaneously implanting and preparing teeth. It integrates implant surgical guide and 3D-printed tooth preparation guide into a single guide and completes guided implant placement and precise tooth preparation. Based on "repair-oriented" virtual implant planning, the implant surgical guide can improve the efficiency and predictability of implant placement, and its linear accuracy is about 1 mm. The tooth preparation guide precisely guides tooth preparation and restoration space visualization, ensuring the quality of the tooth preparation. The two guides have different design accuracy requirements, and thus their combination improves the overall guiding accuracy requirements. The concurrent application of the two guides minimizes the clinical operation time, number of visits, and economic burden of patients.
Humans ; Surgery, Computer-Assisted ; Dental Implantation, Endosseous ; Printing, Three-Dimensional ; Technology ; Tooth Preparation ; Computer-Aided Design ; Dental Implants ; Imaging, Three-Dimensional ; Cone-Beam Computed Tomography

Orthognathic surgery, which involve osteotomy and repositioning of the maxillomandibular complex, has recently emerged as a crucial method of correcting dentofacial deformities. The optimal placement of the maxillomandibular complex holds utmost significance during orthognathic surgery because it directly affects the surgical outcome. To accurately achieve the ideal position of the maxillomandibular complex, with the rapid advancements in digital surgery and 3D-printing technology, orthognathic surgery has entered an era of "Precision Surgery" from the pervious "Empirical Surgery." This article provides comprehensive insights into our extensive research and exploration of the treatment modality known as "precision orthognathic surgery" over the years. We also present the technical system and application in"Ortho+X" treatment modality to offer valuable references and assistance to our colleagues in the field.
Orthognathic Surgery ; Orthognathic Surgical Procedures ; Printing, Three-Dimensional ; Surgery, Computer-Assisted

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder that damages patients' memory and cognitive abilities. Therefore, the diagnosis of AD holds significant importance. The interactions between regions of interest (ROIs) in the brain often involve multiple areas collaborating in a nonlinear manner. Leveraging these nonlinear higher-order interaction features to their fullest potential contributes to enhancing the accuracy of AD diagnosis. To address this, a framework combining nonlinear higher-order feature extraction and three-dimensional (3D) hypergraph neural networks is proposed for computer-assisted diagnosis of AD. First, a support vector machine regression model based on the radial basis function kernel was trained on ROI data to obtain a base estimator. Then, a recursive feature elimination algorithm based on the base estimator was applied to extract nonlinear higher-order features from functional magnetic resonance imaging (fMRI) data. These features were subsequently constructed into a hypergraph, leveraging the complex interactions captured in the data. Finally, a four-dimensional (4D) spatiotemporal hypergraph convolutional neural network model was constructed based on the fMRI data for classification. Experimental results on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database demonstrated that the proposed framework outperformed the Hyper Graph Convolutional Network (HyperGCN) framework by 8% and traditional two-dimensional (2D) linear feature extraction methods by 12% in the AD/normal control (NC) classification task. In conclusion, this framework demonstrates an improvement in AD classification compared to mainstream deep learning methods, providing valuable evidence for computer-assisted diagnosis of AD.
Humans ; Alzheimer Disease/diagnostic imaging* ; Neural Networks, Computer ; Magnetic Resonance Imaging/methods* ; Neuroimaging/methods* ; Diagnosis, Computer-Assisted ; Brain ; Cognitive Dysfunction

Precise segmentation of lung field is a crucial step in chest radiographic computer-aided diagnosis system. With the development of deep learning, fully convolutional network based models for lung field segmentation have achieved great effect but are poor at accurate identification of the boundary and preserving lung field consistency. To solve this problem, this paper proposed a lung segmentation algorithm based on non-local attention and multi-task learning. Firstly, an encoder-decoder convolutional network based on residual connection was used to extract multi-scale context and predict the boundary of lung. Secondly, a non-local attention mechanism to capture the long-range dependencies between pixels in the boundary regions and global context was proposed to enrich feature of inconsistent region. Thirdly, a multi-task learning to predict lung field based on the enriched feature was conducted. Finally, experiments to evaluate this algorithm were performed on JSRT and Montgomery dataset. The maximum improvement of Dice coefficient and accuracy were 1.99% and 2.27%, respectively, comparing with other representative algorithms. Results show that by enhancing the attention of boundary, this algorithm can improve the accuracy and reduce false segmentation.
X-Rays ; Algorithms ; Diagnosis, Computer-Assisted ; Thorax/diagnostic imaging* ; Lung/diagnostic imaging* ; Image Processing, Computer-Assisted