Ramsay Joyce, Seoud Lama, Barchi Soraya, Cheriet Farida, Joncas Julie, Turgeon Isabelle, Debanné Philippe, Trop Isabelle, Labelle Hubert, Parent Stefan
Sainte-Justine University Hospital Research Center 3175, Chemin de la Côte-Sainte-Catherine, Montreal, Quebec H3T 1C5, Canada; University of Montreal, Faculty of Medecine, 2900 Edouard-Montpetit Boulevard, Montreal, Quebec H3T 1J4, Canada.
Polytechnique Montreal, 2500 Chemin de Polytechnique, Montreal, Quebec H3T 1J4, Canada.
Spine Deform. 2017 May;5(3):152-158. doi: 10.1016/j.jspd.2017.01.001.
STUDY DESIGN: Cohort study. OBJECTIVES: To assess breast asymmetry (BA) directly with 3D surface imaging and to validate it using MRI values from a cohort of 30 patients with significant adolescent idiopathic scoliosis (AIS). Also, to study the influence of posture (prone vs standing) on BA using the automated method on both modalities. SUMMARY OF BACKGROUND DATA: BA is a common concern in young female patients with AIS. In a previous study using MRI, we found that the majority of patients with significant AIS experienced BA of up to 21% in addition to their chest wall deformity. MRI is costly and not always readily available. 3D surface topography, which offers fast and reliable breast acquisitions without radiation or distortion of the body surface, is an alternative method in the clinical setting. METHODS: Thirty patients with AIS were enrolled in the study on the basis of their thoracic curvature, skeletal and breast maturity, without regard to their perception of their BA. Each patient underwent two imaging studies of their torso: a 3D trunk surface topography and a breast MRI. An automated breast volume measuring method was proposed using a program developed with Matlab programming. RESULTS: Strong correlations were obtained when comparing the proposed method to the MRI on the left breast volumes (LBV) (r = 0.747), the right breast volumes (RBV) (r = 0.805) and the BA (r = 0.614). Using the same method on both imaging modalities also yielded strong correlation coefficients on the LBV (r = 0.896), the RBV (r = 0.939) and the BA (r = 0.709). CONCLUSIONS: The proposed 3D body surface automated measurement technique is feasible clinically and correlates very well with breast volumes measured using MRI. Additionally, breast volumes remain comparable despite being measured in different body positions (standing and prone) in a young cohort of AIS patients. LEVEL OF EVIDENCE: Level IV.
研究设计:队列研究。 目的:使用三维表面成像直接评估乳房不对称性(BA),并通过对30例患有严重青少年特发性脊柱侧凸(AIS)患者的队列进行MRI值验证。此外,使用两种模式的自动方法研究姿势(俯卧与站立)对BA的影响。 背景数据总结:BA是年轻女性AIS患者普遍关注的问题。在之前一项使用MRI的研究中,我们发现大多数患有严重AIS的患者除胸壁畸形外,还存在高达21%的BA。MRI成本高且并非总是易于获得。三维表面形貌术可在无辐射或体表无畸变的情况下快速可靠地采集乳房图像,是临床环境中的一种替代方法。 方法:根据胸段曲率、骨骼和乳房成熟度纳入30例AIS患者进行研究,而不考虑他们对自身BA的感知。每位患者对其躯干进行两项成像研究:三维躯干表面形貌术和乳房MRI。使用用Matlab编程开发的程序提出了一种自动乳房体积测量方法。 结果:将所提出的方法与MRI在左乳房体积(LBV)(r = 0.747)、右乳房体积(RBV)(r = 0.805)和BA(r = 0.614)上进行比较时,获得了强相关性。在两种成像模式上使用相同方法在LBV(r = 0.896)、RBV(r = 0.939)和BA(r = 0.709)上也产生了强相关系数。 结论:所提出的三维体表自动测量技术在临床上是可行的,并且与使用MRI测量的乳房体积相关性非常好。此外,在一组年轻的AIS患者中,尽管在不同体位(站立和俯卧)下测量乳房体积,但结果仍然具有可比性。 证据水平:四级。
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