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. 2018 Aug 29;19:310. doi: 10.1186/s12891-018-2236-y

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© The Author(s). 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 3 — Scatter plot depicting the reliability of the ‘long axis’ measurement in comparison with the more established classification systems. Detailed legend – this demonstrates the reliability of the Russe, Herbert, Mayo and long axis systems. As tested using Bonferroni’s multiple comparison test the long axis measurement system was significantly more reliable than the Mayo (p < 0.01), the Herbert (p < 0.001) and the Russe (p < 0.001) classification systems