Evidence map›Paper›PMID 32840730›Full record

ArticleLa Radiologia medica2021

Identification of bone marrow edema of the knee: diagnostic accuracy of dual-energy CT in comparison with MRI.

Giovanni Foti, William Mantovani, Niccolò Faccioli, Giacomo Crivellari, Luigi Romano, Claudio Zorzi, Giovanni Carbognin

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Bone marrow edema of the knee: a narrative review.Archives of orthopaedic and trauma surgery · 2024
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  10. Dual-Energy CT in Oncologic Imaging.Tomography (Ann Arbor, Mich.) · 2024
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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.

Giovanni FotiDepartment of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, Via Don A. Sempreboni 10, 37024, Negrar, VR, Italy. gfoti81@yahoo.it.ORCID http://orcid.org/0000-0002-1426-2402
William MantovaniDepartment of Preventive Medicine Public Health Trust, Trento, Italy.
Niccolò FaccioliDepartment of Radiology, Verona University Hospital, Verona, Italy.
Giacomo CrivellariDepartment of Radiology, Verona University Hospital, Verona, Italy.
Luigi RomanoDepartment of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, Via Don A. Sempreboni 10, 37024, Negrar, VR, Italy.
Claudio ZorziDepartment of Orthopedic Surgery, IRCCS Sacro Cuore Don Calabria Hospital, Negrar, Italy.
Giovanni CarbogninDepartment of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, Via Don A. Sempreboni 10, 37024, Negrar, VR, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess the diagnostic accuracy of dual-energy computed tomography (DECT) in diagnosing bone marrow edema (BME) of the knee in traumatic and non-traumatic patients.

methodsThis prospective IRB approved study included 33 consecutive patients (20 males, 13 females; mean age of 52.2 years) evaluated with DECT (80 and 150 kV) and MRI within 6 days. Two experienced radiologists qualitatively and quantitatively evaluated DECT images. The accuracy values were calculated by using receiver operator curves (ROC) and area under the curve (AUC), using MRI as the reference standard. Inter-observer and intra-observer agreement were calculated with k-statistics. A p < 0.05 was considered statistically significant.

resultsMRI depicted BME in 25/33 patients (75.7%). The sensitivity, specificity, PPV, NPV, and accuracy of per-partition qualitative analysis were 92.9, 92.9, 78.2, 97.9, and 92.9%, for reader 1, and 88.2, 93.9, 79.8, 96.6, and 92.6%, for reader 2, respectively. The inter-observer agreement was substantial (k = 0.793) and the intra-observer agreement was near-perfect (k = 0.844). At the quantitative analysis, a significant difference (p < 0.001) was depicted between the density values of positive (mean 3.6 ± 25.3 HU) and negative cases (mean - 72.2 ± 45.1 HU). By using - 15 HU cutoff to identify BME, sensitivity, specificity, PPV, NPV, and accuracy of DECT were 84.7, 93.6, 78.2, 95.7, and 91.6%, respectively.

conclusionDECT can accurately identify BME of the knee.

Indexed as

Absorptiometry, PhotonAdultAgedArea Under CurveBone Marrow DiseasesEdemaFemaleHumansKnee JointMagnetic Resonance ImagingMaleMiddle AgedObserver VariationProspective StudiesReference StandardsROC CurveBone marrowComputed tomographyKnee jointMagnetic resonance imagingSensitivity

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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.