Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

To verify the effect of fiducial marker number and configuration on target registration error (TRE) for dynamic computer-aided zygomatic implant surgery. All patients who underwent zygomatic implant surgery with navigation from January 2018 to December 2021 were enrolled. For each patient, 6 to 8 miniscrews were placed intraorally as fiducial markers before the surgery. After the registration procedure, the TRE, which represents the distance between the target of the image space and the real position of the fiducial markers, was calculated. SPSS (22.0) was used for statistical analysis. A total of 325 titanium miniscrews were placed in 47 patients who underwent zygomatic implant placement by navigation. The lowest TRE was 0.2 mm, compared to the highest TRE of 1.9 mm. There was no significant difference in the mean TRE value among the different titanium miniscrew groups ( = .07). A total of 8 miniscrews in 7 patients were lost in the maxillary tuberosity area prior to and during navigation surgery, which resulted in an irregular polygonal distribution of fiducial markers. However, there was no statistically significant difference in TRE between a polygonal distribution (0.62 ± 0.35 mm) and an irregular polygonal distribution (0.68 ± 0.33 mm) ( = .35). A scattered, polygonal distribution with of a minimum of five fiducial markers in an edentulous maxilla could achieve acceptable TRE values in registration. It seems that the registration error was not influenced by the absence of one corner in a polygon distribution.

Download full-text PDF

Source
http://dx.doi.org/10.11607/jomi.10134DOI Listing

Publication Analysis

Top Keywords

fiducial markers
16
polygonal distribution
16
registration error
12
implant surgery
12
zygomatic implant
12
fiducial marker
8
marker number
8
number configuration
8
patients underwent
8
underwent zygomatic
8

Similar Publications

Background: Neoadjuvant therapy can reduce the size of gastroesophageal tumors to the extent that they are no longer macroscopically visible. This may increase the risk of microscopic-positive resection margins. One potential method to reduce this uncertainty could be the preoperative endoscopic marking of proximal tumor margins with BioXmark, a novel liquid fiducial marker.

View Article and Find Full Text PDF

Background: The precision of image-physical space registration using spherical markers in craniomaxillofacial surgical navigation significantly depends on the accurate estimation of spherical parameters from computed tomography (CT) images. However, this estimation is susceptible to the abnormal points caused by artifacts, instruments interference, and other factors. To address these challenges, this study proposes a robust method to improve reproducibility in results and achieve higher accuracy on low inlier ratio data, thereby meeting the requirements of high-precision surgical applications.

View Article and Find Full Text PDF

Statement Of Problem: Virtual implant positioning allows greater predictability in oral rehabilitation. Edentulous arch images can be matched in a planning software program by aligning fiducial markers, a procedure known as image registration. Among the steps involved in guided implant surgery, registration may contribute to deviations, leading to the mispositioning of implants and further adverse clinical outcomes.

View Article and Find Full Text PDF

: To present the findings of our preliminary experience using daily image-guided radiotherapy (IGRT) supported by implanted fiducial markers (FMs) in the radiotherapy of the vaginal cuff, in a cohort of post-surgery endometrial cancer patients. : Patients with vaginal cuff cancer requiring adjuvant radiation with external beams were enrolled. Five patients underwent radiation therapy targeting the pelvic disease and positive lymph nodes, with doses of 50.

View Article and Find Full Text PDF

Accurate and efficient autofocusing is essential for the automation of fluorescence microscopy, but background noise and shallow depth of field at high magnifications make autofocusing particularly challenging. Here, we present a fast and accurate autofocus algorithm to address these challenges. It is highly effective for high-magnification imaging, while performing equally well for low-magnification imaging tasks.

View Article and Find Full Text PDF