Patients: The patient was a 55-year-old woman with left upper molar free-end edentulism and 9 full cast metal crowns in her mouth. Three three-dimensional (3D) images were superimposed: a computed tomography (CT) image with the patient wearing the CT-matching template (CTMT) with six glass ceramic markers, which hardly generate any artifacts, on the template surface, and oral plaster model surfaces with and without CTMTs. Metal artifacts were automatically removed by a Boolean operation identifying unrealistic images outside the oral plaster model surface. After the preoperative simulation, fully guided oral implant surgery was performed. Two implant bodies were placed in the left upper edentulism. The placement errors calculated by comparing the preoperative simulation and actual implant placement were then assessed by a software program using the 3D-CT bone morphology as a reference. The 3D deviations between the preoperative simulation and actual placement at the entry of the implant body were a maximum 0.48 mm and minimum 0.26 mm. Those at the tip of the implant body were a maximum 0.56 mm and a minimum 0.25 mm.
Discussion: In this case, the maximum 3D deviations at the entry and tip section were less than in previous studies using double CT.
Conclusions: Accurate image fusion utilizing CTMT with new reference markers was possible for a patient with many metal restorations. Using a surgical guide manufactured by the new matching methodology (modified single CT scan method), implant placement deviation can be minimized in patients with many metal restorations.
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http://dx.doi.org/10.2186/jpr.JPOR_2019_429 | DOI Listing |
Ann Thorac Surg Short Rep
September 2024
Department of Cardiovascular Surgery, Tokyo Women's Medical University, The Heart Institute of Japan, Tokyo, Japan.
An implantable ventricular assist device became smaller and has been used for small body size patients. However, it is still challenging to determine whether it is implantable for pediatric patients. The preoperative computed tomography virtual simulation provided spatial information among the pump, intracardiac structures, and extracardiac structures, which was very useful to assess the implantability for borderline children.
View Article and Find Full Text PDFChin Med Sci J
December 2024
Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Objectives: To determine the impact of scenario-based lecture and personalized video feedback on anesthesia residents' communication skills during preoperative visits.
Methods: A total of 24 anesthesia residents were randomly divided into a video group and a control group. Residents in both groups took part in a simulated interview and received a scenario-based lecture on how to communicate with patients during preoperative visits.
Ann Plast Surg
December 2024
Department of Biomedical Engineering, Taipei Veterans General Hospital, Taipei, Taiwan.
Background: Surgical treatment of comminuted and multiple facial fractures is challenging, as identifying the bone anatomy and restoring the alignment are complicated. To overcome the difficulties, 3D-printed "jigsaw puzzle" has been innovated to improve the surgical outcome. This study aimed to demonstrate the feasibility of 3D-printed model in facial fracture restoration procedures.
View Article and Find Full Text PDFJ Clin Orthop Trauma
November 2024
Department of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, India, 249203.
Orthopedic surgery and traumatology necessitate cost-effective approaches that can be replicated across multiple venues. Finite Element (FE) simulation models have evolved as a solution, allowing for consistent investigations into biomechanical systems. Finite Element Analysis (FEA), which began in the 1950s aviation industry, has since expanded into orthopedics.
View Article and Find Full Text PDFAesthetic Plast Surg
January 2025
Division of Plastic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street Suite 5A, Boston, MA, 02215, USA.
Background: Artificial intelligence (AI) technologies use a three-part strategy for facial visual enhancement: (1) Facial Detection, (2) Facial Landmark Detection, and (3) Filter Application (Chen in Arch Fac Plast Surg 21:361-367, 2019). In the context of the surgical patient population, open-source AI algorithms are capable of modifying or simulating images to present potential results of plastic surgery procedures. Our primary aim was to understand whether AI filter use may influence individuals' perceptions and expectations of post-surgical outcomes.
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