{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T02:22:07Z","timestamp":1780453327466,"version":"3.54.1"},"reference-count":37,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"content-version":"vor","delay-in-days":14,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01\u2010EB\u2010029446"],"award-info":[{"award-number":["R01\u2010EB\u2010029446"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>CT image texture features (TFs) of trabecular bone are being investigated as predictive markers in osteoporosis (OP) and osteoarthritis (OA). To support the development of such radiomic approaches, the reproducibility of bone TFs to CT system factors needs to be characterized. We hypothesize that, in addition to the well\u2010established inter\u2010 and intra\u2010scanner effects (e.g., changes in reconstruction algorithm), the non\u2010stationarity of CT spatial resolution may introduce inconsistencies in TFs of morphologically similar bone regions placed in different locations within the scanner field\u2010of\u2010view (FOV).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To characterize the impact of spatially\u2010variant CT blur on the reproducibility of trabecular bone TFs to radial shift within the FOV for a conventional normal resolution (NR) protocol with \u223c0.5\u00a0mm slice thickness, and an ultra\u2010high resolution (UHR) protocol representative of the new generation of high\u2010resolution CT (0.25\u00a0mm slice thickness).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Canon Aquilion Precision CT (Canon Medical Systems, Japan) was used to scan four human femora placed at 0, 9, and 18\u00a0cm radial shifts from the isocenter. NR (\u223c0.26\u00a0mm in\u2010plane voxel size) and UHR (\u223c0.13\u00a0mm in\u2010plane voxel) images were obtained at 1.5\u00a0s rotation. At each CT resolution, a total of 377 spherical regions of interest (ROIs) of 2.5\u00a0mm radius were seeded within the trabecular bone of the femora at 0\u00a0cm shift and transported via rigid registration to the images at 9\u00a0cm and 18\u00a0cm shift. TFs of the Gray Level Co\u2010Occurrence and Run Length matrices (GLCM and GLRLM) were obtained for all ROIs. Reproducibility across radial shifts was evaluated (separately in NR and UHR) in terms of the concordance correlation coefficient (CCC) between the registered ROIs. Support vector machine (SVM) classifiers were applied to evaluate whether the radial shift of an ROI can be predicted from its TFs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In NR, the median CCCs for 0\u00a0cm vs. 9\u00a0cm radial shifts were \u223c0.9 for both GLCM and GLRLM TFs, dropping to \u223c0.6 for 0\u00a0cm vs. 18\u00a0cm shifts. In UHR CT, the median CCCs of GLCM TFs were 0.92 for 0\u00a0cm vs. 9\u00a0cm and 0.52 for 0\u00a0cm vs. 18\u00a0cm; for GLRLM, the median CCCs were 0.88 for 0\u00a0cm vs. 9\u00a0cm and 0.53 for 0\u00a0cm vs. 18\u00a0cm. In a separate analysis on only high contrast ROIs (upper quartiles of voxel value variance at 0\u00a0cm), we found an additional 20% (for 0\u00a0cm vs. 9\u00a0cm) to 40% (for 0\u00a0cm vs. 18\u00a0cm) reduction in CCC in both UHR and NR. The somewhat worse reproducibility in UHR CT is attributed to more pronounced effects of gantry motion blur. The classification models were able to discriminate ROIs at 0\u00a0cm from the other radial shifts with median accuracy of 0.54 (0.67 in high contrast ROIs) in NR and 0.46 (0.67 in high contrast ROIs) in UHR. The ROIs at 9\u00a0cm were identified with 0.31 (0.5) accuracy in NR and 0.46 (0.58) accuracy in UHR; the ROIs at 18\u00a0cm were identified with 0.60 (0.83) accuracy in NR and 0.77 (0.83) accuracy in UHR.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Nonstationary CT spatial resolution leads to a loss of reproducibility of trabecular bone TFs between different regions of the scan FOV, potentially confounding radiomic predictors in clinical data where the lateral shift of the skeletal site of interest changes with patient size.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.17943","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T07:16:02Z","timestamp":1752563762000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Effects of nonstationary system blur on radiomic texture features of trabecular bone in normal and ultra\u2010high resolution CT"],"prefix":"10.1002","volume":"52","author":[{"given":"Gengxin","family":"Shi","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering Johns Hopkins University  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernando J.","family":"Quevedo Gonzalez","sequence":"additional","affiliation":[{"name":"Department of Biomechanics Hospital for Special Surgery  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryan E.","family":"Breighner","sequence":"additional","affiliation":[{"name":"Department of Radiology and Imaging Hospital for Special Surgery  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kendall F.","family":"Moseley","sequence":"additional","affiliation":[{"name":"Department of Endocrinology Johns Hopkins University  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy","family":"Witham","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery Johns Hopkins University  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John A.","family":"Carrino","sequence":"additional","affiliation":[{"name":"Department of Radiology and Imaging Hospital for Special Surgery  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey H.","family":"Siewerdsen","sequence":"additional","affiliation":[{"name":"Department of Imaging Physics The University of Texas MD Anderson Cancer Center  Houston Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wojciech","family":"Zbijewski","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Johns Hopkins University  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,7,15]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bone.2012.02.002"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.166.2.3275985"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/ar4405"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00586\u2010003\u20100621\u20100"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2015151169"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bone.2015.05.016"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00198\u2010005\u20101994\u20101"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10439\u2010019\u201002374\u20102"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joca.2016.12.011"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00256\u2010017\u20102728\u20100"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1210\/clinem\/dgad082"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2022.110642"},{"key":"e_1_2_7_14_1","doi-asserted-by":"crossref","unstructured":"NagarajanMB ChecefskyWA AbidinAZ et\u00a0al.Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography.Proc. 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