Background: The aim of this study was to report on the early experiences using a real-time 3-dimensional (3D) virtual reality navigation system with open MRI for breast-conserving surgery.
Study Design: We developed a real-time 3D virtual reality navigation system with open MRI, and evaluated the mismatch between the navigation system and real distance using a 3D phantom. Two patients with nonpalpable MRI-detected breast tumors underwent breast-conserving surgery under the guidance of the navigation system. An initial MRI for the breast tumor using skin-affixed markers was performed immediately before excision. A percutaneous intramammary dye marker was applied to delineate an excision line, and the computer software "3D Slicer" generated a real-time 3D virtual reality model of the tumor and the puncture needle in the breast. Excision of the tumor was performed in the usual manner along the excision line indicated with the dye. The resected specimens were carefully examined histopathologically.
Results: The mean mismatch between the navigation system and real distance was 2.01 +/- 0.32 mm when evaluated with the 3D phantom. Under guidance by the navigation system, a percutaneous intramammary dye marker was applied without any difficulty. Fiducial registration errors were 3.00 mm for patient no. 1, and 4.07 mm for patient no. 2. Histopathological examinations of the resected specimens of the 2 patients showed noninvasive ductal carcinoma in situ. The surgical margins were free of carcinoma cells.
Conclusions: Real-time 3D virtual reality navigation system with open MRI is feasible for safe and accurate excision of nonpalpable MRI-detected breast tumors. Long-term outcomes of this technique should be evaluated further.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jamcollsurg.2010.01.032 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare.
BMC Med Ethics
January 2025
Faculty of Law, University of Montreal, Ch de la Tour, Montreal, QC, H3T 1J7, Canada.
Background: Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals' lack of training in how to use it, the paper summarizes how to approach the challenges of AI from an ethical and legal perspective. It concludes with suggestions for improvements to help healthcare professionals better navigate the AI wave.
Methods: We analyzed the literature that specifically discusses ethics and law related to the development and implementation of AI in healthcare as well as relevant normative documents that pertain to both ethical and legal issues.
Robot-Assisted Positioning for Percutaneous Endoscopic Interlaminar Discectomy.
Orthop Surg
January 2025
Orthopaedic Department, Peking University Third Hospital, Beijing, China.
Objective: During percutaneous endoscopic interlaminar discectomy (PEID), a range of technologies including medical robotics, visual navigation, and spatial registration have been proposed to expand the application scope and success rate of minimally invasive surgery. The use of robotic technology in surgery is conducive to improving accuracy and reducing risk. This study aims to introduce a precise and efficient targeting method tailored for robot-assisted positioning under C-arm fluoroscopy inPEID.
View Article and Find Full Text PDFA review of novel methods to assist digital planning and execution of osteotomy for upper limb deformities.
Biomed Eng Online
January 2025
Department of Orthopaedic Surgery, NHO Mito Medical Center Hospital, Ibaraki, Ibaraki, 311-3193, Japan.
Corrective osteotomy for upper limb deformities caused by fractures, trauma, or degeneration necessitates detailed preoperative planning to ensure accurate anatomical alignment, restore limb length, and correct angular deformities. This review evaluates the effectiveness of a three-dimensional (3D) preoperative planning program and an image fusion system designed for intraoperative guidance during corrective osteotomy procedures. The application processes and clinical outcomes observed with these technologies in various surgical scenarios involving the upper extremities were summarized.
View Article and Find Full Text PDFChallenges and insights of transferring animal maze studies principles to human spatial learning research.
Sci Rep
January 2025
Research Institute for Brain Development and Peak Performance, RUDN University, Moscow, Russia.
Maze tasks, originally developed in animal research, have become a popular method for studying human cognition, particularly with the advent of virtual reality. However, these experiments frequently rely on simplified environments and tasks, which may not accurately reflect the complexity of real-world situations. Our pilot study aims to transfer a multi-alternative maze with a complex task structure, previously demonstrated to be useful in studying animal cognition, to studying human spatial cognition.
View Article and Find Full Text PDFResearch on autonomous navigation of mobile robots based on IA-DWA algorithm.
Sci Rep
January 2025
North University of China, School of Mechanical Engineering, Taiyuan, 030051, Shanxi, China.
To improve the efficiency of mobile robot movement, this paper investigates the fusion of the A* algorithm with the Dynamic Window Approach (DWA) algorithm (IA-DWA) to quickly search for globally optimal collision-free paths and avoid unknown obstacles in time. First, the data from the odometer and the inertial measurement unit (IMU) are fused using the extended Kalman filter (EKF) to reduce the error caused by wheel slippage on the mobile robot's positioning and improve the mobile robot's positioning accuracy. Second, the prediction function, weight coefficients, search neighborhood, and path smoothing processing of the A* algorithm are optimally designed to incorporate the critical point information in the global path into the DWA calculation framework.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!