Evidence map›Paper›PMID 38967687›Full record

ArticleSkeletal radiology2025

Combining morphological and functional imaging parameters to diagnose primary bone neoplasms in the skull base, spine and sacrum.

Vesna Miladinovic, Augustinus D G Krol, Johan L Bloem, Judith V M G Bovée, Suk Wai Lam, Wilco C Peul, Ana Navas Cañete, Berit M Verbist

Abstract read
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Article in Skeletal radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Vesna MiladinovicDepartment of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands. v.miladinovic@lumc.nl.ORCID http://orcid.org/0000-0002-1849-1624
Augustinus D G KrolDepartment of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands.
Johan L BloemDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Judith V M G BovéeDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Suk Wai LamDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Wilco C PeulUniversity Neurosurgical Center Holland, Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands.
Ana Navas Cañete *Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Berit M Verbist *Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.

Funding

Varian Medical Systems 2018010
6 · The paper itself

Abstract

purposeMorphological magnetic resonance (MR) and computed tomography (CT) features are used in combination with histology for diagnosis and treatment selection of primary bone neoplasms. Isolated functional MRI parameters have shown potential in diagnosis. Our goal is to facilitate diagnosis of primary bone neoplasms of the skull base, mobile spine and sacrum, by a comprehensive approach, combining morphological and functional imaging parameters. MATERIALS AND

methodsPre-treatment MR of 80 patients with histologically proven diagnosis of a primary bone neoplasm of the skull base, mobile spine and sacrum were retrospectively analyzed for morphological and functional MRI parameters. Functional parameters were measured in 4 circular regions of interest per tumor placed on non-adjacent scan slices. Differences in values of functional parameters between different histologies were analyzed with Dunn's test.

resultsChordomas were the predominant histology (60.0%). Most neoplasms (80.0%) originated in the midline and had geographical (78.2%) bone destruction. Amorphous-type calcification (pre-existing bone) was seen only in chordomas. Homogeneous contrast enhancement pattern was seen only in chondrosarcoma and plasmacytoma. Ktrans and Kep were significantly lower in both chordoma, and chondrosarcoma compared to giant cell tumor of the bone (p = 0.006 - 0.011), and plasmacytoma (p = 0.004 - 0.014). Highest diffusion-weighted MRI apparent diffusion coefficient (ADC) values corresponded to chondrosarcoma and were significantly higher to those of chordoma (p = 0.008).

conclusionWe identified the most discriminating morphological parameters and added functional MR parameters based on histopathological features that are useful in making a confident diagnosis of primary bone neoplasms in the skull base, mobile spine and sacrum.

Indexed as

Magnetic Resonance ImagingSacrumAdolescentAdultAgedAged, 80 and overBone NeoplasmsChildContrast MediaFemaleHumansMaleMiddle AgedRetrospective StudiesSkull Base NeoplasmsSpinal NeoplasmsContrast MediaBone neoplasmsChondrosarcomaChordomaCTFunctional imagingMRI

Identifiers

PMID38967687
PMCPMC11652577

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