{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,8]],"date-time":"2026-11-08T00:23:16Z","timestamp":1794097396590,"version":"4.8.0"},"reference-count":31,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T00:00:00Z","timestamp":1787184000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Endourology"],"published-print":{"date-parts":[[2026,12,1]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>\n                      Historically, ellipsoid formulae (EF) based on maximum linear measurements (MLMs) have been utilized for stone volume determination; however, the irregular shapes of renal calculi may introduce inaccuracy. Recent advances in CT-based volumetric assessment tools, including 3D Slicer\n                      <jats:sup>\u00ae<\/jats:sup>\n                      (3DS), Enterprise Imaging (EI), and Visage Imaging\n                      <jats:sup>\u00ae<\/jats:sup>\n                      (VI), offer the opportunity to estimate stone volume via segmentation-based methods. This study compares 3DS, EI, and four workflows of VI, against the industry standards for volume determination: Gas pycnometry (GP) and water displacement (WD).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      A total of 64 air-dried human stones (Group 1: MLM \u22641.5 cm; 0.4\u20131.5 cm) and 54 BegoStones (Group 2: MLM &gt;1.5 cm; 1.6\u20136.1 cm) underwent CT scans in air and phantom mediums. Stone volumes were calculated using all aforementioned methodologies, including four VI subtools (balloon contouring, auto 3D segmentation, 3D segmentation with manual correction, and multimethod) compared with GP- and WD-determined volume based on their MLM. Mean-squared errors were compared using ANOVA with Dunnett\u2019s\n                      <jats:italic toggle=\"yes\">post hoc<\/jats:italic>\n                      stratified by MLM.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>For stones with MLM &lt;1.5 cm, Visage Balloon Contour demonstrated the highest accuracy (0.0003 cm\u00b3, 95% confidence interval [CI]: 0.0002\u20130.0004), followed by VI-Multi (0.0006 cm\u00b3, 95% CI: 0.0004\u20130.0008) and 3DS (0.0007 cm\u00b3, 95% CI: 0.0005\u20130.0011). EI and the EF showed comparable performance (0.0009 cm\u00b3 each). For stones with MLM \u22651.5 cm, EI achieved the highest accuracy (0.198 cm\u00b3, 95% CI: 0.147\u20130.267), followed by Visage Balloon Contour (0.274 cm\u00b3, 95% CI: 0.204\u20130.369). In contrast, the EF demonstrated a substantially higher error (3.514 cm\u00b3, 95% CI: 2.611\u20134.728). Visage 3D Segmentation exhibited the poorest performance across both size categories, with the highest errors observed for larger stones (29.572 cm\u00b3, 95% CI: 21.978\u201339.789).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>EI and VI\u2019s Balloon Contour tool yielded volumetric measurements comparable with GP and WD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/08927790261479688","type":"journal-article","created":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T09:28:30Z","timestamp":1787218110000},"page":"1419-1426","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Volumetric Analysis of Stone Burden: Comparative Evaluation of the Accuracy of Contemporary Volume Determination Tools"],"prefix":"10.1177","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-2241-5589","authenticated-orcid":false,"given":"Aymon","family":"Ali","sequence":"first","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seyed Amiryaghoub M.","family":"Lavasani","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi Xi","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yezan F.","family":"Hadidi","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7247-551X","authenticated-orcid":false,"given":"Grant","family":"Sajdak","sequence":"additional","affiliation":[{"name":"Department of Urology, Loma Linda University Health, Loma Linda, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrei D.","family":"Cumpanas","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob C.","family":"Tsai","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaime","family":"Altamirano-Villarroel","sequence":"additional","affiliation":[{"name":"Instituto Oncol\u00f3gico, Fundaci\u00f3n Arturo Lopez Perez, Santiago, Chile."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seyed Hossein","family":"H. Sharifi","sequence":"additional","affiliation":[{"name":"Desai Sethi Urology Institute, University of Miami, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhamshid","family":"Okhunov","sequence":"additional","affiliation":[{"name":"Department of Urology, Loma Linda University Health, Loma Linda, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0290-4316","authenticated-orcid":false,"given":"Bruce M.","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan","family":"Badin-Castro","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sohrab N.","family":"Ali","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaylen M.","family":"Lee","sequence":"additional","affiliation":[{"name":"Biostatistics, Epidemiology, &amp; Research Design Unit, Institute for Clinical and Translational Sciences, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengbo","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roshan M.","family":"Patel","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duane","family":"Baldwin","sequence":"additional","affiliation":[{"name":"Department of Urology, Loma Linda University Health, Loma Linda, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaime","family":"Landman","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ralph V.","family":"Clayman","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, Irvine, Orange, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,8,20]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.suc.2016.02.008"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2023.08.020"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.purol.2023.08.001"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ucl.2006.03.003"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-5347(05)65272-X"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1089\/089277903772036127"},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-5347(01)63714-5"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.euros.2024.10.024"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00240-016-0875-8"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1177\/08927790251359973"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1097\/JU.0000000000001961"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/bju.12456"},{"issue":"6","key":"e_1_3_3_14_1","first-page":"596","article-title":"Stone volume measuring methods: Should the Ct based threedimensional-reconstructed algorithm be proposed as the gold standard? what did the three-dimensional printed models show us","volume":"72","author":"Canat L","year":"2019","unstructured":"13.Canat L, , Atalay HA, , De\u011firmentepe RB, et al. Stone volume measuring methods: Should the Ct based threedimensional-reconstructed algorithm be proposed as the gold standard? what did the three-dimensional printed models show us? 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