Evidence map›Paper›PMID 32554421›Full record

ArticleAJNR. American journal of neuroradiology2020

Combination of Imaging Features and Clinical Biomarkers Predicts Positive Pathology and Microbiology Findings Suggestive of Spondylodiscitis in Patients Undergoing Image-Guided Percutaneous Biopsy.

S Kihira, C Koo, K Mahmoudi, T Leong, X Mei, B Rigney, A Aggarwal, A H Doshi

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Diagnosis of vertebral osteomyelitis.Journal of bone and joint infection · 2022
    Review
  4. Article
  5. Article
  6. Review
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.

S KihiraFrom the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-1001-8741
C KooFrom the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0001-8620-7990
K MahmoudiFrom the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-2002-5710
T LeongFrom the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0001-7564-5741
X MeiFrom the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0001-7224-7318
B RigneyFrom the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-5886-1423
A AggarwalFrom the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-9562-6457
A H DoshiFrom the Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York. amish.doshi@mountsinai.org.ORCID 0000-0002-2507-436X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposePathology and microbiology results for suspected spondylodiscitis on MR imaging are often negative in up to 70% of cases. We aimed to predict whether MR imaging features will add diagnostic value when combined with clinical biomarkers to predict positive findings of spondylodiscitis on pathology and/or microbiology from percutaneous biopsy. MATERIALS AND

methodsIn this retrospective single-center institutional review board-approved study, patients with radiologically suspected spondylodiscitis and having undergone percutaneous biopsies were assessed. Demographic characteristics, laboratory values, and tissue and blood cultures were collected. Pathology and microbiology results were used as end points. Three independent observers provided MR imaging-based scoring for typical MR imaging features for spondylodiscitis. Multivariate logistic regression and receiver operating characteristic analysis were performed to determine an optimal combination of imaging and clinical biomarkers in predicting positive findings on pathology and/or microbiology from percutaneous biopsy suggestive of spondylodiscitis.

resultsOur patient cohort consisted of 72 patients, of whom 33.3% (24/72) had spondylodiscitis. The mean age was 63 ± 16 years with a male/female ratio of 41:31. Logistic regression revealed a combination with an area under the curve of 0.72 for pathology and 0.68 for pathology and/or microbiology. Epidural enhancement on MR imaging improved predictive performance to 0.87 for pathology and 0.78 for pathology and/or microbiology.

conclusionsOur findings demonstrate that epidural enhancement on MR imaging added diagnostic value when combined with clinical biomarkers to help predict which patients undergoing percutaneous biopsy will have positive findings for spondylodiscitis on pathology and/or microbiology.

Indexed as

AdultAgedDiscitisFemaleHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleMiddle AgedRetrospective Studies

Identifiers

PMID32554421
PMCPMC7357636

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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.