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Here, we investigate MS volume in conjunction with measures of MS shape and surface area in a large, diverse sample of modern humans. We test whether variation in MS volume is associated with predictable changes in MS shape (i.e., allometry) and investigate the influence of MS size\u2010shape scaling on mucosal surface area dynamics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>Measures of MS volume and surface area were obtained from computed tomographic (CT) scans of 162 modern human crania from three ancestral backgrounds\u2014Equatorial Africa, Europe, and East Asia. 3D coordinate landmarks and linear measurements were also collected. Multivariate analyses were employed to test for associations between MS volume and other morphological variables.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Significant associations between MS volume and 3D shape were identified both across and within the subsamples. Variation in MS volume was found to predominantly relate to differences in MS height and width dimensions relative to MS length. This pattern of allometric scaling was found to differentially influence total mucosal surface area and the SAV ratio.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This study suggests that variation in MS volume is disproportionately mediated by MS width and height dimensions. This finding has implications for hypotheses which structurally link MS morphology to craniofacial ontogeny and those which suggest that MS morphology may perform adaptive physiological functions.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ajpa.24630","type":"journal-article","created":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T08:29:37Z","timestamp":1665736177000},"page":"640-654","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Human maxillary sinus size, shape, and surface area: Implications for structural and functional hypotheses"],"prefix":"10.1002","volume":"179","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3562-4377","authenticated-orcid":false,"given":"Suhhyun","family":"Kim","sequence":"first","affiliation":[{"name":"Center for Anatomical Sciences, Department of Physiology and Anatomy University of North Texas Health Science Center  Fort Worth Texas USA"},{"name":"Texas College of Osteopathic Medicine University of North Texas Health Science Center  Fort Worth Texas USA"},{"name":"Department of Laboratory Medicine and Pathology University of Washington  Seattle Washington USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lyndee A.","family":"Ward","sequence":"additional","affiliation":[{"name":"Center for Anatomical Sciences, Department of Physiology and Anatomy University of North Texas Health Science Center  Fort Worth Texas USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3743-2408","authenticated-orcid":false,"given":"Lauren N.","family":"Butaric","sequence":"additional","affiliation":[{"name":"Department of Anatomy, College of Osteopathic Medicine Des Moines University  Des Moines Iowa USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0208-2770","authenticated-orcid":false,"given":"Scott D.","family":"Maddux","sequence":"additional","affiliation":[{"name":"Center for Anatomical Sciences, Department of Physiology and Anatomy University of North Texas Health Science Center  Fort Worth Texas USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,10,14]]},"reference":[{"key":"e_1_2_10_2_1","unstructured":"AdamsD CollyerM KaliontzopoulouA &BakenE(2021).Geomorph: Software for geometric morphometric analyses. 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