Anat Cell Biol.  2021 Mar;54(1):51-58. 10.5115/acb.20.031.

Scapular length estimation from anatomical landmarks: an osteometry and radiographic evaluation using regression equations

• Elijah SO
• Peter AI
• Ekanem AU
• Edagha IA

• KMID: 2514583
• DOI: http://doi.org/10.5115/acb.20.031

Abstract

Estimation of body length has been achieved from the measurements of the scapular with relative accuracy by researches in recent times. This research hypothesized that the landmarks on the scapular and on the x-ray radiographs could be used to predict scapular length and elucidated the landmarks that best estimate the scapular length. A total of 600 scapulae and 600 anterior-posterior x-ray radiographs were used for the study. Positive correlation was observed between the measured variables and the scapular length with the males showing significantly higher mean length compared to females. The length of axillary boarder of the scapula was the best predictor of the scapular length. No significant difference (P>0.05) existed in the mean length derived from the scapular and the x-ray radiographs of scapular. We therefore conclude that measurements from the radiographs of scapular were as reliable in estimating scapular length as those from the scapular bones.

Keyword

Scapular length; Osteometry; Radiographic evaluation; Regression equations

Figure

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  Fig. 1 Diagram of the scapula. ACD, acromio-coracoid distance; LAB, length of axial border; LIL, length of infraspinous line; LSL, length of supraspinous line; LSS, length of scapular spine; MLA, maximum length of acromion process; MLC, maximum length of coracoid process; MLS, maximum length of scapular.

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  Fig. 2 Radiograph image of scapula. AB=MLS, CD=LSS, EF=MLG, and BG=LAB. LAB, length of axial border; LSS, length of scapular spine; MLG, maximum length of glenoid fossa; MLS, maximum length of scapular.

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