Abstract：
OBJECTIVE: To assess the predictive value of baseline digitally measured exposure root surface area (ERSA) on the effectiveness of modified coronally advanced tunnel and de-epithelialized gingival grafting (MCAT + DGG) technique for the treatment of multiple adjacent gingival recessions (MAGRs).
METHODS: A total of 96 gingival recessions (48 RT1 and 48 RT2) from 30 subjects were included. ERSA was measured on the digital model obtained by intraoral scanner. Generalized linear model was used to analyze the possible correlation of ERSA, Cairo recession type (RT), gingival biotype, keratinized gingival width (KTW), tooth type, and cervical step-like morphology on the mean root coverage (MRC) and complete root coverage (CRC) at 1-year after MCAT + DGG. The predictive accuracy of CRC is tested using receiver-operator characteristic curves.
RESULTS: At 1-year postoperatively, the MRC for RT1 was 95.14 ± 10.25%, which was significantly higher than 78.42 ± 22.57% for RT2 (p < 0.001). ERSA (OR:1.342, p < 0.001), KTW (OR:1.902, p = 0.028) and lower incisors (OR:15.716, p = 0.008) were independent risk factors for predicting MRC. ERSA and MRC showed significant negative correlation in RT2(r = -0.558, p < 0.001), but not in RT1(r = 0.220, p = 0.882). Meanwhile, ERSA (OR:1.232, p = 0.005) and Cairo RT (OR:3.740, p = 0.040) were independent risk factors for predicting CRC. For RT2, the area under curve was 0.848 and 0.898 for ERSA without or with other correction factors, respectively.
CONCLUSIONS: Digitally measured ERSA may provide strong predictive values for RT1 and RT2 defects treated with MCAT + DGG.
CONCLUSIONS: This study demonstrates that digitally measured ERSA is a valid outcome predictor for root coverage surgery, especially applicable for predicting RT2 MAGRs.
METHODS: A total of 96 gingival recessions (48 RT1 and 48 RT2) from 30 subjects were included. ERSA was measured on the digital model obtained by intraoral scanner. Generalized linear model was used to analyze the possible correlation of ERSA, Cairo recession type (RT), gingival biotype, keratinized gingival width (KTW), tooth type, and cervical step-like morphology on the mean root coverage (MRC) and complete root coverage (CRC) at 1-year after MCAT + DGG. The predictive accuracy of CRC is tested using receiver-operator characteristic curves.
RESULTS: At 1-year postoperatively, the MRC for RT1 was 95.14 ± 10.25%, which was significantly higher than 78.42 ± 22.57% for RT2 (p < 0.001). ERSA (OR:1.342, p < 0.001), KTW (OR:1.902, p = 0.028) and lower incisors (OR:15.716, p = 0.008) were independent risk factors for predicting MRC. ERSA and MRC showed significant negative correlation in RT2(r = -0.558, p < 0.001), but not in RT1(r = 0.220, p = 0.882). Meanwhile, ERSA (OR:1.232, p = 0.005) and Cairo RT (OR:3.740, p = 0.040) were independent risk factors for predicting CRC. For RT2, the area under curve was 0.848 and 0.898 for ERSA without or with other correction factors, respectively.
CONCLUSIONS: Digitally measured ERSA may provide strong predictive values for RT1 and RT2 defects treated with MCAT + DGG.
CONCLUSIONS: This study demonstrates that digitally measured ERSA is a valid outcome predictor for root coverage surgery, especially applicable for predicting RT2 MAGRs.
摘要：
目的：评估基线数字测量的牙根表面积（ERSA）对改良冠状推进隧道和去上皮化牙龈移植（MCAT+DGG）技术治疗多个相邻牙龈凹陷（MAGR）的有效性的预测价值。
方法：共纳入30名受试者的96例牙龈凹陷（48RT1和48RT2）。在通过口内扫描仪获得的数字模型上测量ERSA。采用广义线性模型分析ERSA可能存在的相关性,开罗衰退型(RT)，牙龈生物型，角化牙龈宽度（KTW），齿型,MCATDGG后1年，平均根覆盖率（MRC）和完全根覆盖率（CRC）的宫颈阶跃状形态。使用接收器-操作者特征曲线测试CRC的预测准确性。
结果：术后1年，RT1的MRC为95.14±10.25%，显著高于RT2的78.42±22.57%(p<0.001)。ERSA（OR：1.342，p<0.001），KTW（OR：1.902，p=0.028）和下切牙（OR：15.716，p=0.008）是预测MRC的独立危险因素。ERSA和MRC在RT2中呈显著负相关(r=-0.558,p<0.001),但不在RT1中（r=0.220，p=0.882）。同时,ERSA(OR:1.232,p=0.005)和CairoRT(OR:3.740,p=0.040)是预测CRC的独立危险因素。对于RT2，没有或有其他校正因子的ERSA的曲线下面积分别为0.848和0.898。分别。
结论：数字测量的ERSA可以为MCAT+DGG治疗的RT1和RT2缺陷提供强大的预测值。
结论：这项研究表明，数字化测量的ERSA是根管覆盖手术的有效结果预测因子，特别适用于预测RT2MAGR。
方法：共纳入30名受试者的96例牙龈凹陷（48RT1和48RT2）。在通过口内扫描仪获得的数字模型上测量ERSA。采用广义线性模型分析ERSA可能存在的相关性,开罗衰退型(RT)，牙龈生物型，角化牙龈宽度（KTW），齿型,MCATDGG后1年，平均根覆盖率（MRC）和完全根覆盖率（CRC）的宫颈阶跃状形态。使用接收器-操作者特征曲线测试CRC的预测准确性。
结果：术后1年，RT1的MRC为95.14±10.25%，显著高于RT2的78.42±22.57%(p<0.001)。ERSA（OR：1.342，p<0.001），KTW（OR：1.902，p=0.028）和下切牙（OR：15.716，p=0.008）是预测MRC的独立危险因素。ERSA和MRC在RT2中呈显著负相关(r=-0.558,p<0.001),但不在RT1中（r=0.220，p=0.882）。同时,ERSA(OR:1.232,p=0.005)和CairoRT(OR:3.740,p=0.040)是预测CRC的独立危险因素。对于RT2，没有或有其他校正因子的ERSA的曲线下面积分别为0.848和0.898。分别。
结论：数字测量的ERSA可以为MCAT+DGG治疗的RT1和RT2缺陷提供强大的预测值。
结论：这项研究表明，数字化测量的ERSA是根管覆盖手术的有效结果预测因子，特别适用于预测RT2MAGR。
