Residency Training Program in Oral and Maxillofacial Surgery, School of Dentistry of Ribeirão Preto of the University of São Paulo, Avenida Do Café, s/n, Monte Alegre, Ribeirão Preto, São Paulo, 14040-904, Brazil.
Department of Oral Diagnosis, Maxillofacial Surgery Division, Piracicaba Dental School of the University of Campinas, Av. Limeira, 901, Bairro Areião, Piracicaba, São Paulo, 13414-903, Brazil.
Oral Maxillofac Surg. 2023 Mar;27(1):53-58. doi: 10.1007/s10006-022-01047-0. Epub 2022 Feb 15.
This present study aimed to retrospectively evaluate the predictability of using three-dimensional models (TDMs) to plan the preoperative lengths of zygomatic implants (ZIs).
The records of all patients that received such implants between March 2007 and March 2019 were evaluated. The ZI lengths predicted on the TDMs were compared to the lengths of the implants the patients received.
In total, the records of 74 patients were evaluated, of which 37 records met the criteria of inclusion, and were included in the study. Twenty-seven (73%) of the patients were female and 10 (27%) were male, ranging from 34 to 80 years of age, with the average age being 55.7 years. Seventeen (43.2%) of these patients were classified as ASA I and 21 (56.8%) as ASA II. A total of 142 ZIs were planned and installed in the time frame mentioned. Without distinguishing the region of the maxilla, the implants used were, on average, 1.1 mm larger in length than those initially planned.
Overall, the data indicates moderate agreement between the planned and surgical lengths of the ZIs and indicates that using TDMs is a predictable and reliable preoperative planning technique of the length of posterior ZIs.
本研究旨在回顾性评估使用三维模型（TDMs）来规划颧骨种植体（ZIs）术前长度的可预测性。
评估了 2007 年 3 月至 2019 年 3 月期间所有接受此类植入物的患者的记录。将 TDMs 上预测的 ZI 长度与患者接受的植入物长度进行比较。
共评估了 74 名患者的记录，其中 37 名符合纳入标准，纳入研究。27 名（73%）患者为女性，10 名（27%）为男性，年龄从 34 岁至 80 岁，平均年龄为 55.7 岁。这些患者中有 17 名（43.2%）被归类为 ASA I，21 名（56.8%）为 ASA II。在提到的时间框架内计划并安装了 142 个 ZIs。不区分上颌骨区域，使用的植入物平均比最初计划的长度长 1.1 毫米。
总体而言，数据表明 ZI 的计划和手术长度之间存在中度一致性，并表明使用 TDMs 是一种可预测且可靠的后 ZI 长度术前规划技术。
