{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T22:44:00Z","timestamp":1782168240334,"version":"3.54.5"},"reference-count":30,"publisher":"Journal of Neurosurgery Publishing Group (JNSPG)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,1]]},"abstract":"<jats:sec>\n<jats:title>OBJECTIVE<\/jats:title>\n<jats:p>Computed tomography is considered the gold-standard imaging tool to evaluate spinal implant accuracy. However, there are no studies that evaluate the accuracy of robotic sacroiliac joint (SIJ) implant placement using CT to date. The aim of this study was to compare the accuracy of implant placement on CT between robotic and fluoroscopic navigation for SIJ fusion and the subsequent complications and clinical outcomes of suboptimally placed screws.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>METHODS<\/jats:title>\n<jats:p>A retrospective analysis of SIJ fusions utilizing either robotic or fluoroscopic guidance at a single institution was conducted from 2014 to 2023. Implant placement accuracy was evaluated on intra- or postoperative CT. Primary endpoints were SIJ screw placement accuracy and complications. Secondary endpoints were pain status at the first and second follow-ups and rates of 2-year revision surgery. Statistical analysis was performed using chi-square tests.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>RESULTS<\/jats:title>\n<jats:p>Sixty-nine patients who underwent 78 SIJ fusions were included, of which 63 were robotic and 15 were fluoroscopic. The mean age of the cohort at the time of surgery was 55.9 \u00b1 14.2 years, and 35 patients (50.7%) were female. There were 135 robotically placed and 34 fluoroscopically placed implants. A significant difference was found in implant placement accuracy between robotic and fluoroscopic fusion (97.8% vs 76.5%, p &lt; 0.001). When comparing optimal versus suboptimal implant placement, no difference was found in the presence of 30-day complications (p = 0.98). No intraoperative complications were present in this cohort. No difference was found in subjective pain status at the first (p = 0.69) and second (p = 0.45) follow-ups between optimal and suboptimal implant placement. No patients underwent 2-year revision surgery.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>CONCLUSIONS<\/jats:title>\n<jats:p>Use of robotic navigation was significantly more accurate than the use of fluoroscopic navigation for SIJ implant placement. Complications overall were low and not different between optimally and suboptimally placed implants. Suboptimally placed implants did not differ in degree of subjective pain improvement or rates of revision surgery postoperatively.<\/jats:p>\n<\/jats:sec>","DOI":"10.3171\/2024.3.spine231109","type":"journal-article","created":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T02:36:02Z","timestamp":1717209362000},"page":"378-384","source":"Crossref","is-referenced-by-count":4,"title":["Computed tomography assessment of robotic versus fluoroscopic implant accuracy in sacroiliac joint fusion"],"prefix":"10.3171","volume":"41","author":[{"given":"Edward S.","family":"Harake","sequence":"first","affiliation":[{"name":"School of Medicine, University of Michigan, Ann Arbor, Michigan;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John H.","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Medicine, University of Michigan, Ann Arbor, Michigan;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark M.","family":"Zaki","sequence":"additional","affiliation":[{"name":"Departments of Neurosurgery and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rushikesh S.","family":"Joshi","sequence":"additional","affiliation":[{"name":"Departments of Neurosurgery and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph R.","family":"Linzey","sequence":"additional","affiliation":[{"name":"Departments of Neurosurgery and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rakesh D.","family":"Patel","sequence":"additional","affiliation":[{"name":"Orthopaedic Surgery, University of Michigan, Ann Arbor, Michigan; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Park","sequence":"additional","affiliation":[{"name":"University of Tennessee and Semmes Murphey Clinic, Memphis, Tennessee"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yamaan S.","family":"Saadeh","sequence":"additional","affiliation":[{"name":"Departments of Neurosurgery and"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1754","reference":[{"key":"b1","series-title":"J Pain Res","first-page":"3337","article-title":"A review and algorithm in the diagnosis and treatment of sacroiliac joint pain","volume":"13","author":"Falowski S","year":"2020","unstructured":"Falowski S, Sayed D, Pope J,  A review and algorithm in the diagnosis and treatment of sacroiliac joint pain. 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