m+Medelevator.RU
← Поиск публикаций
The Journal of prosthetic dentistry · 2025

Accuracy of a calibration method based on cone beam computed tomography and intraoral scanner data registration for robot-assisted implant placement: A single arm clinical study.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Li Yi, Liu Mingyue, Tan Jianguo, Liu Dr Xiaoqiang

Аннотация

STATEMENT OF PROBLEM: Robotic computer assisted implant surgery (r-CAIS) has evolved rapidly because of its enhanced precision and efficiency. Intraoperative patient positioning calibration is critical for ensuring r-CAIS accuracy. A calibration method based on cone beam computed tomography (CBCT) and intraoral scanner (IOS) data registration for robot-assisted implant placement has been proposed previously, and its accuracy validated in vitro; however, its in vivo performance remains unclear.

PURPOSE: This single arm clinical study aimed to evaluate the clinical feasibility and accuracy of calibrating r-CAIS through CBCT and IOS data registration.

MATERIAL AND METHODS: Ten participants with partial edentulism (1 to 3 missing teeth) were enrolled for robotic implant placement. A preoperative surgical plan was performed based on the CBCT scans. During implant surgery, the participant was scanned with an IOS, with patient positioning calibration accomplished through CBCT and IOS data registration. Implants were subsequently placed automatically via the robotic system according to the preoperative plan. Two weeks postoperatively, CBCT scans were obtained, and deviations between the planned and actual implant positions were measured by superimposing preoperative and postoperative CBCT data by using the robotic software program. The Shapiro-Wilk test was conducted to evaluate the normality of data. Quantitative variables were expressed as mean ±standard deviation, 95% confidence interval (CI), maximum, and minimum.

RESULTS: Fifteen implants were autonomously placed in 10 participants by using r-CAIS technology. No intraoperative adverse events or postoperative complications occurred. By using the CBCT and IOS data registration approach, the autonomous robotic system achieved a mean ±standard deviation angular deviation of 1.46 ±0.48 degrees (95% CI: 1.23 to 1.71 degrees), with 3-dimensional deviations of 0.77 ±0.21 mm (95% CI: 0.65 to 0.87 mm) and 0.72 ±0.24 mm (95% CI: 0.61 to 0.84 mm) at the implant platform and apex, respectively.

CONCLUSIONS: The CBCT and IOS data registration method for calibrating r-CAIS demonstrated clinically acceptable feasibility and accuracy in partially edentulous participants.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты