Evidence map›Paper›PMID 40982034›Full record

ArticleRadiologie (Heidelberg, Germany)2025

Multiparametric spinal MRI for differentiating benign and malignant vertebral compression fractures.

Erdinç Tanlak, Rifat Özpar, Eren Tobcu, Mehmet Fatih İnecikli, Ömer Fatih Nas, Bahattin Hakyemez

Abstract read
PubMed Publisher
In one paragraph

Article in Radiologie (Heidelberg, Germany), 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.

Erdinç TanlakDepartment of Radiology, Bursa Uludag University Bursa Uludag University School of Medicine, Bursa, Turkey.ORCID http://orcid.org/0000-0001-7242-5698
Rifat ÖzparDepartment of Radiology, Bursa Uludag University Bursa Uludag University School of Medicine, Bursa, Turkey.ORCID http://orcid.org/0000-0001-6649-9287
Eren TobcuDepartment of Radiology, Bandırma Onyedi Eylul University School of Medicine, Bandırma Research and Training Hospital Balıkesir, Paşakent Bora Barıs Guler 12/c-10, 10200, Bandirma/Balkesir, Turkey. etobcu@bandirma.edu.tr.ORCID http://orcid.org/0000-0002-0144-0142
Mehmet Fatih İnecikliDepartment of Radiology, Bursa Uludag University Bursa Uludag University School of Medicine, Bursa, Turkey.ORCID http://orcid.org/0000-0002-9796-8223
Ömer Fatih NasDepartment of Radiology, Bursa Uludag University Bursa Uludag University School of Medicine, Bursa, Turkey.ORCID http://orcid.org/0000-0001-6211-4191
Bahattin HakyemezDepartment of Radiology, Bursa Uludag University Bursa Uludag University School of Medicine, Bursa, Turkey.ORCID http://orcid.org/0000-0002-3425-0740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to assess the efficacy of multiparametric spinal MRI, utilizing conventional techniques, dynamic contrast-enhanced MRI, and diffusion MRI, in distinguishing between benign and malignant vertebral compression fractures. MATERIAL AND

methodsThis retrospective study included 42 consecutive patients who underwent biopsy and pre-biopsy multiparametric spinal MRI. Patients under 18 or with non-diagnostic imaging were excluded. Images were evaluated blinded by two radiologists. Quantitative DWI and DCE-MRI parameters were analyzed using the Tofts model. Statistical tests included ANOVA, Mann-Whitney U, chi-square, and ROC analysis.

resultsA total of 50 vertebral fractures from 42 patients (18 men, 24 women; mean age 55.3 ± 3.3 years; range 31-82) were included in the study. Among these lesions, 23 were classified as malignant and 27 as benign based on histopathological analysis. A statistically significant difference was found between benign and malignant groups in terms of in perfusion MR curve type, volume transfer constant (Ktrans), flux rate constant (Kep), and apparent diffusion coefficient (ADC) parameters (p = 0.000-0.02). In the ROC analysis, the highest sensitivity and specificity values were 73.9% and 77.8% for Ktrans, 88% and 77.8% for Kep, and 63% and 87% for ADC in distinguishing between benign and malignant vertebral compression fracture. In the multiparametric evaluation made according to ADC, Ktrans, and Kep cut-off values, the highest sensitivity and specificity values were 91.30% and 96.29%, respectively.

conclusionCombining the information of quantitative ADC, Kep, and Ktrans analysis, multiparametric spinal MRI can differentiate benign from malignant compression fracture with high diagnostic accuracy. In this way, the need for invasive procedures to be performed only for diagnostic purposes can be reduced.

Indexed as

Fractures, CompressionMagnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingSpinal FracturesSpinal NeoplasmsAdultAgedAged, 80 and overContrast MediaDiagnosis, DifferentialFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesContrast MediaADCKepKtransMR perfusionSpinal imaging

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.