Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal.
Faculty of Medicine, Lisbon University, Lisbon, Portugal.
Eur Surg Res. 2022;63(1):3-8. doi: 10.1159/000516357. Epub 2021 May 26.
Breast volume estimation is considered crucial for breast cancer surgery planning. A single, easy, and reproducible method to estimate breast volume is not available. This study aims to evaluate, in patients proposed for mastectomy, the accuracy of the calculation of breast volume from a low-cost 3D surface scan (Microsoft Kinect) compared to the breast MRI and water displacement technique.
Patients with a Tis/T1-T3 breast cancer proposed for mastectomy between July 2015 and March 2017 were assessed for inclusion in the study. Breast volume calculations were performed using a 3D surface scan and the breast MRI and water displacement technique. Agreement between volumes obtained with both methods was assessed with the Spearman and Pearson correlation coefficients.
Eighteen patients with invasive breast cancer were included in the study and submitted to mastectomy. The level of agreement of the 3D breast volume compared to surgical specimens and breast MRI volumes was evaluated. For mastectomy specimen volume, an average (standard deviation) of 0.823 (0.027) and 0.875 (0.026) was obtained for the Pearson and Spearman correlations, respectively. With respect to MRI annotation, we obtained 0.828 (0.038) and 0.715 (0.018).
Although values obtained by both methodologies still differ, the strong linear correlation coefficient suggests that 3D breast volume measurement using a low-cost surface scan device is feasible and can approximate both the MRI breast volume and mastectomy specimen with sufficient accuracy.
3D breast volume measurement using a depth-sensor low-cost surface scan device is feasible and can parallel MRI breast and mastectomy specimen volumes with enough accuracy. Differences between methods need further development to reach clinical applicability. A possible approach could be the fusion of breast MRI and the 3D surface scan to harmonize anatomic limits and improve volume delimitation.
乳腺癌手术规划中,乳房体积估计被认为是至关重要的。目前还没有一种简单、易用且可重复的方法来估计乳房体积。本研究旨在评估在拟行乳房切除术的患者中,使用低成本的 3D 表面扫描(Microsoft Kinect)计算乳房体积的准确性,并与乳房 MRI 和水置换技术进行比较。
评估了 2015 年 7 月至 2017 年 3 月间因 Tis/T1-T3 期乳腺癌拟行乳房切除术的患者,以纳入研究。使用 3D 表面扫描和乳房 MRI 及水置换技术进行乳房体积计算。使用 Spearman 和 Pearson 相关系数评估两种方法获得的体积之间的一致性。
本研究纳入了 18 例浸润性乳腺癌患者,并接受了乳房切除术。评估了 3D 乳房体积与手术标本和乳房 MRI 体积的一致性。对于乳房切除术标本体积,Pearson 和 Spearman 相关系数分别为 0.823(0.027)和 0.875(0.026)。对于 MRI 标记,我们获得了 0.828(0.038)和 0.715(0.018)。
尽管两种方法获得的值仍存在差异,但强线性相关系数表明,使用低成本表面扫描设备进行 3D 乳房体积测量是可行的,并且可以足够准确地近似 MRI 乳房体积和乳房切除术标本体积。
使用深度传感器低成本表面扫描设备进行 3D 乳房体积测量是可行的,并且可以与 MRI 乳房和乳房切除术标本体积足够准确地平行。方法之间的差异需要进一步开发才能达到临床适用性。一种可能的方法是融合乳房 MRI 和 3D 表面扫描,以协调解剖学限制并改善体积界定。