Evidence map›Paper›PMID 32978680›Full record

ArticleSkeletal radiology2021

An assessment of fluid-fluid levels on magnetic resonance imaging of spinal tumours.

Nehal Singla, Syed Ehtasham Junaid, Mateen Siddiqui, Karan Malhotra, Asif Saifuddin

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Article in Skeletal radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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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

5 authors.

Nehal SinglaRadiology Department, Royal National Orthopaedic Hospital NHS Trust, Brockley Hill, Stanmore, HA7 4LP, UK.
Syed Ehtasham JunaidRadiology Department, Royal National Orthopaedic Hospital NHS Trust, Brockley Hill, Stanmore, HA7 4LP, UK. junaids@pm.me.
Mateen SiddiquiRadiology Department, North West Anglia Foundation Trust, Bretton, UK.
Karan MalhotraFoot and Ankle Unit, Royal National Orthopaedic Hospital NHS Trust, Brockley Hill, Stanmore, HA7 4LP, UK.
Asif SaifuddinRadiology Department, Royal National Orthopaedic Hospital NHS Trust, Brockley Hill, Stanmore, HA7 4LP, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the degree of fluid-fluid levels on MRI in spinal tumours compared with final diagnosis, and the outcome of needle biopsy in such cases. MATERIALS AND

methodsRetrospective review of patients with a spinal tumour that contained fluid-fluid levels. Data collected included age, sex, spinal location, and final diagnosis. The outcome of needle biopsy was investigated.

resultsForty-two patients were included (19 males; 24 females; mean age 27.5 years, range 5-80 years), the commonest diagnoses being aneurysmal bone cyst (n = 25; 59.5%) and metastasis (n = 5; 11.9%). All patients with a malignant diagnosis were > 50 years of age apart from 2 who had metastases from a known primary cancer, while all patients apart from 1 with aneurysmal bone cyst were < 35 years of age. Needle biopsy was undertaken in 29 cases (69%) and diagnostic in 18 (62%). Patients with FFL occupying > 2/3 of the lesion were significantly more likely to have an aneurysmal bone cyst (p = 0.008) while those with FFL occupying < 2/3 of the lesion were more likely to have a malignant tumour (p = 0.001). The sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of > 2/3 FFLs occupying the lesion were 97.1%, 75%, 94.3%, 85.7%, and 92.9% respectively for differentiating a benign from a malignant spinal tumour.

conclusionsChildren and younger adults with spinal lesions containing > 2/3 FFLs were very unlikely to have malignancy. However, in patients > 50 years of age or those with lesions containing < 2/3 FFLs, a malignant lesion is much more likely.

Indexed as

Bone Cysts, AneurysmalSpinal NeoplasmsAdolescentAdultAgedAged, 80 and overBiopsy, NeedleChildChild, PreschoolFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesYoung AdultABCBiopsy: fluid–fluid levelsSpine

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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.