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Prediction Formula for Intraoperative Resection Weights of Reduction Mammoplasty with Double-circle Periareolar Incision
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摘要:
目的 建立双环形切口巨乳缩小术腺体切除量的预估模型。 方法 回顾性收集78例患者的133侧双环形切口巨乳缩小术的相关资料, 包括术前测量的患者双侧锁乳距、胸乳距、乳房内径、乳房下径、乳房外径数据(cm), 及术中精确测量的每侧切除的乳腺腺体重量(g)。对数据进行统计学分析, 利用多元逐步回归得出术前乳房的测量数据与术中切除乳腺腺体量的关系。 结果 双环形切口巨乳缩小术中乳腺腺体切除量的计算公式为:乳腺腺体切除量=32×锁乳距+31×乳房下径+8×乳房内径-986, 或乳腺腺体切除量=25×胸乳距+32×乳房下径+13×乳房内径-868。 结论 该公式为双环形切口巨乳缩小术腺体切除量的经验性总结, 应用该公式有助于术前估算, 指导术中乳腺腺体切除量, 以及维持术后双侧乳房的对称性。 Abstract:Objective To derive a formula for predicting intraoperative resection weights of reduction mammoplasty with double-circle periareolar incision. Methods Data were collected from 78 consecutive patients receiving reduction mammoplasty with double-circle periareolar incision (133 sides) between 2003 and 2015, including preoperative bilateral clavicle-to-nipple distance, sternal notch-to-nipple distance, nipple-to-ipsilateral costoclavicular line distance, nipple-to-inframammary crease distance, nipple-to-anterior axillary line distance(cm), and resected weight (g) on each side of breast measured during the surgery. Multiple stepwise regression analysis was performed to establish the relationship between preoperative measurements and the resection weight. Results Formulas were established as follows:resected weight=(32×clavicle-to-nipple distance+31×nipple-to-inframammary crease distance+8×nipple-to-ipsilateral costoclavicular line distance)-986, or resected weight=(25×sternal notch-to-nipple distance+32×nipple-to-inframammary crease distance+13×nipple-to-ipsilateral costoclavicular line distance)-868. Conclusion This formula summarizes the experience of reduction mammoplasty with double-circle periareolar incision, which could guide the surgeon in preoperative estimation, intraoperative resection, and postoperative maintenance of breast symmetry. -
Key words:
- macromastia /
- double-circle periareolar incision /
- reduction mammoplasty
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表 1 多元逐步回归方差分析表
模型 非标准系数 标准系数 t值 P值 偏回归系数 偏回归系数标准差 标准化线性回归系数 第1步 常数项 -977.235 115.862 -8.434 0.000 锁乳距 48.907 3.774 0.749 12.958 0.000 第2步 常数项 -107.149 85.762 -1.249 0.214 乳房内径 38.710 5.219 0.544 7.418 0.000 第3步 常数项 -324.691 81.080 -4.005 0.679 项乳房下径 64.937 6.141 0.679 10.574 0.000 第4步 常数项 -984.409 112.990 -8.712 0.000 锁乳距 42.133 4.406 0.646 9.563 0.000 乳房内径 13.434 4.806 0.189 2.795 0.006 第5步 常数项 -981.761 105.542 -9.302 0.000 锁乳距 34.867 4.346 0.534 8.023 0.000 乳房下径 33.655 6.374 0.352 5.280 0.006 第6步 常数项 -466.623 85.158 -5.479 0.000 乳房下径 51.887 6.723 0.542 7.718 0.000 乳房内径 19.517 5.000 0.274 3.903 0.000 第7步 常数项 -984.409 112.990 -8.712 0.000 锁乳距 -985.732 104.705 -9.414 0.000 乳房下径 30.840 6.518 0.322 4.732 0.000 乳房内径 8.145 4.592 0.114 1.774 0.007 锁乳距 31.935 4.617 0.489 6.917 0.000 
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表 2 对拟合的3个模型方差分析检验结果
模型 离均差平方和 自由度 均数平方 F值 P值 第1步 回归 7 542 212.063 1 7 542 212.063 167.906 0.000 残差 5 884 406.180 131 44 919.131 总变异 1.343×107 132 第2步 回归 3 971 294.157 1 3 971 294.157 55.021 0.000 残差 9 455 324.086 131 72 178.046 总变异 1.343×107 132 第3步 回归 6 182 633.728 1 6 282 633.728 111.807 0.000 残差 7 243 984.515 131 55 297.592 总变异 1.343×107 132 第4步 回归 7 875 862.233 2 3 937 931.117 92.227 0.000 残差 5 550 756.010 130 42 698.123 总变异 1.343×107 132 第5步 回归 8 581 408.429 2 4 290 704.215 115.122 0.000 残差 4 845 209.814 130 37 270.845 总变异 1.343×107 132 第6步 回归 6 942 481.467 2 3 471 240.733 69.595 0.000 残差 6 484 136.776 130 49 877.975 总变异 1.343×107 132 第7步 回归 8 696 766.039 3 2 898 922.013 79.064 0.000 残差 4 729 852.204 129 36 665.521 总变异 1.343×107 132
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表 3 回归方程决定系数
模型 复相关系数 决定系数 矫正的决定系数 预计的偏回归标准差 第1步 0.749 0.562 0.558 211.941 第2步 0.544 0.296 0.290 268.660 第3步 0.679 0.460 0.456 235.154 第4步 0.766 0.587 0.580 206.635 第5步 0.799 0.639 0.634 193.057 第6步 0.719 0.517 0.510 223.334 第7步 0.805 0.648 0.640 191.482
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