Evidence map›Paper›PMID 40481280›Full record

ArticleNeurosurgical review2025

Lumbar spine deformation between prone and supine CTs.

Ikaasa Suri, Daniel Kwon, Sayahi Suthakaran, Julian Javier, Maria Syed, James Hu, Matthew Carr, Jeremy Steinberger

Abstract read
PubMed Publisher
In one paragraph

Article in Neurosurgical review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ikaasa SuriIcahn School of Medicine at Mount Sinai, NY, USA. ikaasa.suri@icahn.mssm.edu.ORCID https://orcid.org/0000-0002-7766-8100
Daniel KwonIcahn School of Medicine at Mount Sinai, NY, USA.
Sayahi SuthakaranIcahn School of Medicine at Mount Sinai, NY, USA.
Julian JavierIcahn School of Medicine at Mount Sinai, NY, USA.
Maria SyedBronx High School of Science, New York, USA.
James HuIlluminant Surgical, Los Angeles, USA.
Matthew CarrDepartment of Neurosurgery at Mount Sinai, NY, USA.
Jeremy SteinbergerDepartment of Neurosurgery at Mount Sinai, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal navigation systems improve pedicle screw placement accuracy, but their reliance on supine preoperative imaging can introduce errors due to positional differences between preoperative and intraoperative spinal alignment. These misalignments may compromise surgical outcomes, particularly in lumbar spine procedures. This study investigates how key lumbar and lumbopelvic parameters differ between prone and supine positions, aiming to refine imaging workflows and surgical navigation practices. A retrospective cohort study analyzed paired prone and supine CT images from 85 adult patients in the ACRIN database. Key parameters-pelvic tilt, lumbar lordosis, L1 slope, pelvic incidence, and L1-L5 Cobb angle-were measured. Statistical significance was assessed using two-tailed t-tests, with pairwise comparisons conducted to evaluate positional differences. Significant differences were observed in pelvic tilt (mean prone-supine difference: 4.27°, p = 0.0002) and L1 slope (mean prone-supine difference: 3.16°, p = 0.001). Other parameters, including lumbar lordosis, pelvic incidence, and L1-L5 Cobb angle, showed no significant differences. Our study provides the first comprehensive analysis of prone versus supine alignment in the lumbar spine, addressing a critical gap in spinal navigation research. The findings underscore the limitations of supine preoperative imaging in reflecting intraoperative conditions. Incorporating these insights into navigation workflows can improve registration accuracy and surgical outcomes. Future innovations, such as AI-based predictive modeling, may further address positional discrepancies and optimize lumbar spine surgeries. This work highlights the importance of advancing imaging protocols to align with intraoperative realities.

Indexed as

Lumbar VertebraeTomography, X-Ray ComputedAdultAgedFemaleHumansLordosisMaleMiddle AgedPatient PositioningProne PositionRetrospective StudiesSupine PositionNavigationProneSpinal alignmentSupine

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.