{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T23:10:26Z","timestamp":1789168226658,"version":"build-2803163510"},"reference-count":35,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["aap.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Periodontology"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The aim of this study is to evaluate the impact of different implant materials and arrangements within the field of view (FOV) and exomass on the diagnostic accuracy and image quality of cone\u2010beam computed tomography (CBCT) for the detection of peri\u2010implant buccal bone defects of various sizes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A total of 120 CBCT scans with three different implant materials with identical diameter (titanium [Ti], titanium\u2010zirconium [TiZr], and zirconium dioxide [ZrO\n                      <jats:sub>2<\/jats:sub>\n                      ]) and three surgically created peri\u2010implant defect sizes (no defect, small defect: 3\u00a0mm, large defect: 6\u00a0mm) using two CBCT scanners (X800 and Planmeca) were generated. Three independent examiners assessed the scans for the presence of peri\u2010implant bone defects, rated the impact of metal artefacts on diagnostic confidence (visual analog scale [VAS] 0\u201310), and measured the maximum height and width of the defect, when present. Diagnostic performance (sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve) was calculated by a generalized linear mixed model. Artefact perception (VAS) and measurement error (height and width) were analyzed using analysis of variance, with\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.05 considered significant.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      CBCT imaging demonstrated high overall diagnostic accuracy for detecting surgically created peri\u2010implant bone defects when implants were positioned within FOV and the exomass. Nevertheless, defect size (\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.001) and implant material (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.019) did affect the diagnostic accuracy significantly. Smaller bone defects (79.4%) were associated with a reduced diagnostic accuracy compared with larger defects (99.1%) and non\u2010defect sites (95.3%). ZrO\n                      <jats:sub>2<\/jats:sub>\n                      dental implants (85.4%) were associated with a reduced diagnostic accuracy compared with Ti (97.5%) and TiZr implants (92.6%).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      CBCT reliably detects peri\u2010implant bone defects, irrespective of the implant material or the presence in the exomass. While ZrO\n                      <jats:sub>2<\/jats:sub>\n                      implants and smaller defects can reduce diagnostic accuracy, its overall performance remains robust, warranting further clinical validation.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Plain language summary<\/jats:title>\n                    <jats:p>\n                      This study explored how well cone\u2010beam computed tomography (CBCT), a 3D dental imaging technique, can detect bone loss around dental implants. The authors tested three commonly used implant materials\u2014titanium (Ti), titanium\u2013zirconium (TiZr), and zirconium dioxide (ZrO\n                      <jats:sub>2<\/jats:sub>\n                      )\u2014and created small and large buccal bone defects around them in a controlled laboratory setting. They also tested the effect of implants\u00a0outside the CBCT scanning area to mimic real\u2010world clinical situations. Three trained examiners reviewed 120 CBCT scans to judge whether a bone defect was present, how much the implant material affected image assessment, and how closely their measurements matched the true size of the defects. Overall, CBCT was highly reliable in identifying bone defects, especially when defects were large. However, very small buccal defects were harder to detect, and zirconia implants produced more image distortion, making diagnosis slightly less accurate compared with Ti implants. Importantly, even when implants were positioned at the edge of the scan, CBCT still performed well. These findings support the use of CBCT as a dependable tool for evaluating bone loss around implants, while highlighting situations\u2014such as small defects or zirconia implants\u2014where interpretation should be made with extra care.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jper.70076","type":"journal-article","created":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T14:47:23Z","timestamp":1769784443000},"page":"1860-1870","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Are the detection and dimensions of peri\u2010implant buccal bone defects influenced by different implant materials and their location? An experimental cone\u2010beam computed tomography study"],"prefix":"10.1002","volume":"97","author":[{"given":"Yulan","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Oral &amp; Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology School &amp; Hospital of Stomatology, Wuhan University  Hubei China"},{"name":"Department of Research University Center for Dental Medicine Basel UZB, University of Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matheus L.","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Division of Oral Radiology, Department of Oral Diagnosis Piracicaba Dental School, University of Campinas  Piracicaba S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dorothea","family":"Dagassan\u2010Berndt","sequence":"additional","affiliation":[{"name":"Dental Imaging University Center for Dental Medicine Basel UZB, University of Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle","family":"Simonek","sequence":"additional","affiliation":[{"name":"Department of Oral Surgery University Center for Dental Medicine Basel UZB, University of Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"K\u00fchl","sequence":"additional","affiliation":[{"name":"Department of Oral Surgery University Center for Dental Medicine Basel UZB, University of Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael M.","family":"Bornstein","sequence":"additional","affiliation":[{"name":"Department of Research University Center for Dental Medicine Basel UZB, University of Basel  Basel Switzerland"},{"name":"Department of Oral Health &amp; Medicine University Center for Dental Medicine Basel UZB, University of Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,1,30]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/JPER.23-0355"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1055\/s-0040-1701162"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/jcpe.12957"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-051X.2010.01674.x"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.11607\/prd.2844"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/clr.13143"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/prd.12577"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/clr.13596"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11282-023-00683-w"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12903-024-04674-z"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-021-00557-9"},{"issue":"3","key":"e_1_2_9_13_1","article-title":"The impact of cone\u2010beam computed tomography exposure parameters on peri\u2010implant artifacts: a literature review","volume":"14","author":"Sawicki P","year":"2022","journal-title":"Cureus"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1259\/dmfr\/43691321"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/clr.14336"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1259\/dmfr.20230252"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/clr.14394"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.11607\/jomi.2014suppl.g1.4"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/dmfr\/twae062"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-051X.2011.01837.x"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1111\/cid.12791"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v067.i01"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v082.i13"},{"key":"e_1_2_9_24_1","volume-title":"emmeans: Estimated Marginal Means, aka Least\u2010Squares Means. 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