Podgórski Michał, Topol Mirosław, Sibiński Marcin, Grzelak Piotr, Stefańczyk Ludomir, Polguj Michał
Department of Angiology, Chair of Anatomy, Medical University of Łódź, Narutowicza 60, Łódź 90-136, Poland.
BMC Musculoskelet Disord. 2014 Nov 25;15:396. doi: 10.1186/1471-2474-15-396.
The suprascapular notch (SSN), bridged by the superior transverse scapular ligament (STSL), creates a pathway for the suprascapular nerve (SN). Morphological variations in the SSN region are common and can increase the risk of neuropathy by constricting the space for the nerve. The aim of this study was to establish new objective parameters that take this complex morphology into account.
The SSN region of 100 formalin-fixed cadaveric shoulders was dissected. The dimensions of the SSN, the STSL and the anterior coracoscapular ligament (ACSL), as well as diameters of the SN, associated vessels and SN passage area, were measured by means of quantitative visual data analysis software to assign those structures to present classifications. The area reduction coefficient (ARC) and the ambit occupation coefficient (AOC) were defined and calculated for each shoulder.
The mean ARC and AOC for ligaments in the suprascapular region were: ARCSTSL = 71.6%, ARCACSL = 9.6%, AOCSTSL = 56.8% and AOCACSL = 9.1%. The SN passage area, ARC and AOC did not differ significantly between SSN types. The SN passage area and ARC differed significantly between band- and fan-shaped types of STSL. A significant relationship was observed between ARC and AOC (R=0.6855; p<0.0001). The SN passage area correlated significantly with ARC (R=-0.7555; p<0.0001) and AOC (R=-0.5609; p<0.0001).
The proposed parameters convey the complex morphology of the SSN region in a quantitative manner. The area reduction coefficient seems to be a more relevant indicator than the AOC as it better correlates with the SN passage area. Contrary to the SSN type, the STSL type significantly influences SN passage area and ARC.
肩胛上切迹（SSN）由肩胛上横韧带（STSL）架桥连接，为肩胛上神经（SN）形成一条通道。SSN区域的形态变异很常见，可通过压缩神经空间增加神经病变风险。本研究的目的是建立考虑到这种复杂形态的新的客观参数。
解剖100个福尔马林固定的尸体肩部的SSN区域。通过定量视觉数据分析软件测量SSN、STSL和喙肩韧带（ACSL）的尺寸，以及SN、相关血管的直径和SN通过区域，将这些结构归类到现有的分类中。为每个肩部定义并计算面积减少系数（ARC）和范围占据系数（AOC）。
肩胛上区域韧带的平均ARC和AOC为：ARCSTSL = 71.6%，ARCACSL = 9.6%，AOCSTSL = 56.8%，AOCACSL = 9.1%。SN通过区域、ARC和AOC在SSN类型之间无显著差异。SN通过区域和ARC在STSL的带状和扇形类型之间有显著差异。观察到ARC和AOC之间存在显著关系（R = 0.6855；p < 0.0001）。SN通过区域与ARC（R = -0.7555；p <
