Evidence map›Paper›PMID 37448505›Full record

ArticleJournal of craniovertebral junction & spine

Spatial Computing for preoperative planning and postoperative evaluation of single-position lateral approaches in spinal revision surgery.

Galal A Elsayed, Raj Swaroop Lavadi, Sangami Pugazenthi, Vinay Jaikumar, Rida Mitha, Daniel M Hafez, John O Ogunlade, Nitin Agarwal

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Journal of craniovertebral junction & spine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Galal A ElsayedDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, St. Louis, Missouri, USA.
Raj Swaroop LavadiDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, St. Louis, Missouri, USA.
Sangami PugazenthiDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Vinay JaikumarDepartment of Neurosurgery, University of Buffalo, Buffalo, US.
Rida MithaDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, St. Louis, Missouri, USA.
Daniel M HafezDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
John O OgunladeDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Nitin AgarwalDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, St. Louis, Missouri, USA.
Neurological Surgery · USUniversity of Pittsburgh · USUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial computing (SC) in a surgical context offers reconstructed interactive four-dimensional models of radiological imaging. Preoperative and postoperative assessment with SC can offer more insight into personalized surgical approaches. Spine surgery has benefitted from the use of perioperative SC assessment. Herein, we describe the use of SC to perform a perioperative assessment of a revision spinal deformity surgery. A 79-year-old wheelchair-bound male presented to the neurosurgery clinic with a history of chronic lumbar pain associated with bilateral lower extremity weakness. His surgical history is significant for an L2-L5 lumbar decompression with posterior fixation 1 year prior. On examination, there were signs of thoracic myelopathy. Imaging revealed his previous instrumentation, pseudoarthrosis, and cord compression. We perform a two-staged operation to address the thoracic spinal cord compression and myelopathy, pseudoarthrosis, and malalignment with a lack of global spinal harmony. His imaging is driven by a spatial computing and SC environment and offers support for the diagnosis of his L2-3 and L4-5 pseudoarthrosis on the reconstructed SC-based computed tomography scan. SC enabled the assessment of the configuration of the psoas muscle and course of critical neurovascular structures in addition to graft sizing, trajectory and approach, evaluation of the configuration and durability of the anterior longitudinal ligament, and the overlying abdominal viscera. SC increases the familiarity of the patient's specific anatomy and enhances perioperative assessment. As such, SC can be used to preoperatively plan for spinal revision surgery.

Indexed as

Anterior lumbar interbody fusioninstrumentationlateral lumbar interbody fusionpseudoarthrosisspatial computingstereopsisvirtual reality

Identifiers

PMID37448505
PMCPMC10336895
OpenAlexW4384277460

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.