Evidence map›Paper›PMID 31041562›Full record

ArticleEuropean radiology2019

Improvements of diagnostic accuracy and visualization of vertebral metastasis using multi-level virtual non-calcium reconstructions from dual-layer spectral detector computed tomography.

N Abdullayev, N Große Hokamp, S Lennartz, J A Holz, Z Romman, G Pahn, V Neuhaus, D Maintz, B Krug, J Borggrefe

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Diagnostic accuracy of imaging modalities for detection of spinal metastases: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Pooled it
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  11. 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

10 authors at 4 institutions in 3 countries.

N AbdullayevInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
N Große HokampInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany. nils.grosse-hokamp@uk-koeln.de.ORCID http://orcid.org/0000-0001-7928-0487
S LennartzInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
J A HolzInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
Z RommanPhilips Clinical Science CT, Haifa, Israel.
G PahnPhilips Clinical Science CT, Hamburg, Germany.
V NeuhausInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
D MaintzInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
B KrugInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
J BorggrefeInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
University Hospital Cologne · DEPhilips (Germany) · DEPhilips (Israel) · ILUniversity Hospitals Cleveland Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate feasibility and diagnostic performance of multi-level calcium suppression in spectral detector computed tomography (SDCT) for assessment of bone metastasis. MATERIALS AND

methodsRetrospective IRB-approved study on 21 patients who underwent SDCT (120 kV, reference mAs 116) and MRI. Thoracic and lumbar vertebrae (n = 357) were included and categorized as normal (n = 133) or metastatic (n = 203) based on MRI (STIR, T1w, ±contrast). The multi-level virtual non-calcium (VNCa) algorithm computes dynamic soft tissue/calcium pairs allowing for computation of different suppression index levels to address inter-individual variance of prevalent calcium composition weights. We computed images with low, medium, and high calcium suppression indices and compared them with conventional images (VNCa_low/med/high and conventional images (CI)). For quantitative image analysis, regions of interest were placed in normal and metastatic bone. Two readers reviewed the datasets independently in multiple sessions. They determined the presence of vertebral metastases on a per vertebra basis using a binary scale. Statistic assessment was performed using ANOVA with Tukey HSD, Student's T test, and ROC analysis.

resultsAttenuation of both normal and metastatic bone was lower in VNCa images than that in conventional images (e.g., CI/VNCa_low, - 46.3 to 238.8 HU/343.3-60.2 HU; p ≤ 0.05). VNCa_low+med improved separation of normal and metastatic bone in ROC analysis (AUC, CI/VNCa_low/VNCa_med = 0.74/0.95/0.98; p ≤ 0.05). In subjective analysis, both sensitivity and specificity were clearly improved in VNCa_low as compared with CI (0.85/0.84 versus 0.78/0.82). Readers showed a good inter-rater reliability (kappa = 0.65).

conclusionsMulti-level VNCa reconstructed from SDCT improve quantitative separation of normal and metastatic bone and subjective determination of bone metastases when using low to intermediate calcium suppression indices. KEY POINTS: • Spectral detector CT allows for multi-level calcium suppression in CT images and low and medium calcium suppression indices improved separation of normal and metastatic bone. • Thus, multi-level calcium suppression allows to optimize image contrast in regard to dedicated pathologies. • Low-level virtual non-calcium images (index 25-50) improved diagnostic performance regarding detection of metastasis.

Indexed as

CalciumAdultAlgorithmsBone MarrowBone Marrow DiseasesEpidemiologic MethodsFemaleHumansLumbar VertebraeMagnetic Resonance ImagingMaleMiddle AgedSpinal NeoplasmsThoracic VertebraeTomography, X-Ray ComputedCalciumImage processing, computer-assistedMagnetic resonance imagingNeoplasm metastasisSpineTomography, X-ray computed

Identifiers

PMID31041562
OpenAlexW2942966218

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.