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<field name="value">Muñoz Guarinos, Julia</field>
<field name="authority">958</field>
<field name="confidence">500</field>
<field name="orcid_id">0000-0002-5260-1751</field>
<field name="value">García González, Rebeca</field>
<field name="authority">204</field>
<field name="confidence">600</field>
<field name="orcid_id">0000-0002-1035-6655</field>
<field name="value">Carretero Díaz, José Miguel</field>
<field name="authority">106</field>
<field name="confidence">600</field>
<field name="orcid_id">0000-0003-0409-8087</field>
<field name="value">Rodríguez, Laura</field>
<field name="authority">483</field>
<field name="confidence">600</field>
<field name="orcid_id">0000-0002-5090-1582</field>
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<field name="value">2025-04-04T09:39:05Z</field>
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<field name="value">2025-04-04T09:39:05Z</field>
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<field name="value">2025-03</field>
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<field name="value">2692-7691</field>
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<field name="value">10.1002/ajpa.70036</field>
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<field name="value">Objective: This paper explores the various protocols for deriving endosteal and periosteal contours of the femoral midneckcross-section in non-adult individuals using EPmacroJ.Materials and Methods: We analyzed femoral midneck cross-sectional contours in a total sample of 55 femora belonging tomedieval individuals ranging in age between 2 and 20 years. Femoral midneck cross-sections were taken on high-resolution CTimages and analyzed by EPJMacro in FIJI. Cross-sectional properties were obtained from periosteal and endosteal contoursderived by manual, automatic, spline, and ellipse techniques. Agreement between the manual and the other techniques wasevaluated using percent prediction error (%PE) and following the Bland–Altman approach.Results: All the evaluated techniques used for deriving the periosteal and endosteal contours at the femoral midneck cross-section in non-adult individuals have proven to be interchangeable with manual processing, except for the spline technique forthe endosteal contour. The narrowest limits of agreement were obtained for the total area, moderate limits of agreement werefound for the cortical and medullary areas, and the widest limits of agreement were observed in the section moduli.Discussion: The automatic processing of the periosteal and endosteal contours shows a high level of agreement with the man-ual processing of both contours. Semi-automatic approaches (spline and ellipse) provide less agreement, especially in sectionmoduli. This suggests that inaccuracies in deriving the endosteal contour significantly affect section moduli. The best approachfor extracting the geometric properties of femoral midneck cross-sections is a combination of automatic and manual methods,although automatic methods alone are also effective.</field>
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<field name="value">This work was supported by the Ministerio de Ciencia, Innovación y Universidades, Grant PID2021-122355NB-C31 funded by MCIN/AEI/10.1.</field>
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<element name="es">
<field name="value">eng</field>
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<field name="value">Wiley</field>
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<field name="value">American Journal of Biological Anthropology. 2025, V. 186, n. 3, p. 1-14</field>
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<field name="value">https://doi.org/10.1002/ajpa.70036</field>
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<element name="subject">
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<field name="value">Biomechanics</field>
<field name="value">Development</field>
<field name="value">Femoral midneck</field>
<field name="value">Growth</field>
<field name="value">Ontogeny</field>
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<field name="value">Anatomía Humana</field>
<field name="value">Restos humanos (Arqueología)</field>
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<field name="value">Human anatomy</field>
<field name="value">Human remains (Archaeology)</field>
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<field name="value">Comparing Methods for Calculating Cross‐Sectional Properties From High‐Resolution CT Scans in Dry Bone: The Case of the Non‐Adult Femoral Midneck</field>
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<field name="value">American Journal of Biological Anthropology</field>
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<field name="value">186</field>
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<field name="value">3</field>
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