Changes in Alignment at Untreated Vertebral Levels Following Short-Segment Fusion Using Personalized Interbody Cages: Leveraging Personalized Medicine to Reduce the Risk of Reoperation.

Jeffrey P Mullin¹, Jahangir Asghar², Ashvin I Patel³, Joseph A Osorio⁴, Justin S Smith⁵, Christopher P Ames⁶, John Small⁷, Atman Desai⁸, Adrien Ponticorvo⁹, Rodrigo J Nicolau⁹

¹Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA jeffpaulmullin@gmail.com.

²Department of Spine Surgery, Elite Spine Health and Wellness, Plantation, FL, USA.

³Department of Spine Surgery, Kennedy-White Orthopedic Center, Sarasota, FL, USA.

⁴Department of Neurological Surgery, University of California, University of California, San Diego, San Diego, CA, USA.

⁵Department of Neurosurgery, University of Virginia, Charlottesville, VA, USA.

⁶Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.

⁷Department of Spine Surgery, Center for Spinal Disorders at Florida Orthopedic Institute, Temple Terrace, FL, USA.

⁸Department of Neurosurgery, Stanford University Hospital and Clinics, Stanford, CA, USA.

⁹Reserach Spine Department, Carlsmed, Carlsbad, CA, USA.

PubMed PMC DOI PDF

Abstract

BACKGROUND: An abnormal postoperative lordosis distribution index (LDI), which quantifies the ratio between the lordosis at L4 to S1 and the lordosis at L1 to S1, contributes to the development of adjacent segment disease and increased revision rates in patients undergoing short-segment lumbar intervertebral fusions. Incorporating preoperative spinopelvic parameters and LDI into the surgical plan…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.