Evidence map›Paper›PMID 40489946›Full record

ArticleJournal of neurosurgery. Case lessons2025

Patient-specific 3D reconstruction models for sacral tumor resection: illustrative cases.

Vivek Sanker, Aneysis D Gonzalez-Suarez, Niccolo Innocenti, Maria Jose Cavagnaro, Ikchan Jeon, Corinna Zygourakis, Atman Desai

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

7 authors.

Vivek SankerDepartment of Neurosurgery, Stanford University, Stanford, California.ORCID 0000-0003-0615-8397
Aneysis D Gonzalez-SuarezDepartment of Neurosurgery, Stanford University, Stanford, California.ORCID 0000-0003-3745-763X
Niccolo InnocentiDepartment of Neurosurgery, Stanford University, Stanford, California.
Maria Jose CavagnaroDepartment of Neurosurgery, Stanford University, Stanford, California.
Ikchan JeonDepartment of Neurosurgery, Yeungnam University Hospital, Yeungnam University College of Medicine, Daegu, South Korea.ORCID 0000-0002-1293-2724
Corinna ZygourakisDepartment of Neurosurgery, Stanford University, Stanford, California.
Atman DesaiDepartment of Neurosurgery, Stanford University, Stanford, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe surgical methods used to resect sacral tumors are extensive and require maneuvering through complex anatomical systems such as the pelvic organs and sacral nerve roots. These procedures may result in complications and adverse patient outcomes. The technology integrating 3D reconstruction models in the field of spine surgery is rapidly evolving, and these challenging cases present a unique opportunity to leverage this technology's capability for enhanced patient outcomes. OBSERVATIONS: The authors present two sacral tumor cases diagnosed with synovial cell sarcoma and giant cell osteosarcoma, respectively. Both patients underwent a three-staged en bloc tumor resection assisted by 3D reconstruction models. Postoperative imaging showed a complete tumor resection, and the patients symptomatically improved, with no signs of recurrence on follow-up. LESSONS: Surgical planning and execution have clearly advanced significantly with the introduction of 3D modeling into spine surgery. Based on the authors' experience, this technology can be used to improve outcomes for complicated spinal tumors with successful results. Although these results are encouraging, extensive studies with larger patient cohorts must be carried out to fully appreciate the technology's advantages across a range of patient demographics and tumor types. https://thejns.org/doi/10.3171/CASE2522.

Indexed as

3D reconstructionsacral tumorsacrectomysarcoma

Identifiers

PMID40489946
PMCPMC12147658

What OpenQuestion holds

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Registered trials

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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.