Evidence map›Paper›PMID 41149082›Full record

ReviewDiseases (Basel, Switzerland)2025

The Radiologists' Guide to Spinal Separation Surgery: What Does the Surgeon Want to Know?

Mohsin Khan, Labeeba Haq, Sai Niharika Gavvala, Petr Rehousek, Simon Hughes, Rajesh Botchu

Abstract readReview
In one paragraph

Review in Diseases (Basel, Switzerland), 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

6 authors.

Mohsin KhanDepartment of Spinal Surgery, Royal Orthopedic Hospital, Birmingham B31 2AP, UK.
Labeeba HaqDepartment of Orthopedics, Royal Orthopedic Hospital, Birmingham B31 2AP, UK.
Sai Niharika GavvalaDepartment of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham B31 2AP, UK.
Petr RehousekDepartment of Spinal Surgery, Royal Orthopedic Hospital, Birmingham B31 2AP, UK.ORCID 0000-0002-0779-2341
Simon HughesDepartment of Spinal Surgery, Royal Orthopedic Hospital, Birmingham B31 2AP, UK.
Rajesh BotchuDepartment of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham B31 2AP, UK.ORCID 0000-0001-7998-2980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal tumours are an uncommon but significant cause of pain, fractures, instability, and cord compression, leading to poor quality of life and mortality. Separation surgery is a rapidly advancing technique that has seen increased utilisation in the field of spinal oncology surgery. Separation surgery can be described as a resection technique that decompresses the spinal cord whilst creating an ablative target for high-dose stereotactic radiotherapy to achieve durable local control while minimising the risk of radiation myelopathy. This has facilitated the delivery of stereotactic radiotherapy, as well as created potential for use in managing primary bone tumours of the spine. From a radiology standpoint, optimal outcomes depend on meticulous preoperative characterisation of tumour volume and stability (e.g., ESCC grade and SINS), clear communication of anatomic constraints relevant to approach and fixation, and systematic postoperative surveillance to distinguish expected postoperative appearances from early recurrence or complications. We present our radiological experience and report recommendations while evaluating spinal oncology separation surgery.

Indexed as

bone neoplasmsdecompressionneurosurgical procedurespalliative carepostoperative careradiologic diagnosisradiotherapyspinal cord compressionspinal neoplasmsstereotactic bodysurgical

Identifiers

PMID41149082
PMCPMC12564190

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.