Evidence map›Paper›PMID 36292183›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Differentiation of Intracerebral Tumor Entities with Quantitative Contrast Attenuation and Iodine Mapping in Dual-Layer Computed Tomography.

Jan Borggrefe, Max Philipp Gebest, Myriam Hauger, Daniel Ruess, Anastasios Mpotsaris, Christoph Kabbasch, Lenhard Pennig, Kai Roman Laukamp, Lukas Goertz, Jan Robert Kroeger and 1 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
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

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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Jan BorggrefeInstitute for Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital by Muehlenkreiskliniken, Ruhr University Bochum, 32429 Minden, Germany.ORCID 0000-0003-2908-7560
Max Philipp GebestDepartment of Radiology and Nuclear Medicine, Universitätsmedizin Mannheim, 68167 Mannheim, Germany.
Myriam HaugerInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, 50397 Cologne, Germany.
Daniel RuessDepartment of Stereotaxy und Functional Neurosurgery, University Hospital of Cologne, 50937 Cologne, Germany.
Anastasios MpotsarisDepartment of Neuroradiology, München Kliniken Harlaching, 81545 München, Germany.ORCID 0000-0002-1275-8164
Christoph KabbaschInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, 50397 Cologne, Germany.
Lenhard PennigInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, 50397 Cologne, Germany.ORCID 0000-0002-6606-9313
Kai Roman LaukampInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, 50397 Cologne, Germany.
Lukas GoertzInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, 50397 Cologne, Germany.
Jan Robert KroegerInstitute for Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital by Muehlenkreiskliniken, Ruhr University Bochum, 32429 Minden, Germany.ORCID 0000-0003-1218-7610
Jonas DoernerInstitute for Diagnostic and Interventional Radiology, University Hospital Cologne, 50397 Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate if quantitative contrast enhancement and iodine mapping of common brain tumor (BT) entities may correctly differentiate between tumor etiologies in standardized stereotactic CT protocols. Material and Methods: A retrospective monocentric study of 139 consecutive standardized dual-layer dual-energy CT (dlDECT) scans conducted prior to the stereotactic needle biopsy of untreated primary brain tumor lesions. Attenuation of contrast-enhancing BT was derived from polyenergetic images as well as spectral iodine density maps (IDM) and their contrast-to-noise-ratios (CNR) were determined using ROI measures in contrast-enhancing BT and healthy contralateral white matter. The measures were correlated to histopathology regarding tumor entity, isocitrate dehydrogenase (IDH) and MGMT mutation status. Results: The cohort included 52 female and 76 male patients, mean age of 59.4 (±17.1) years. Brain lymphomas showed the highest attenuation (IDM CNR 3.28 ± 1,23), significantly higher than glioblastoma (2.37 ± 1.55, p < 0.005) and metastases (1.95 ± 1.14, p < 0.02), while the differences between glioblastomas and metastases were not significant. These strongly enhancing lesions differed from oligodendroglioma and astrocytoma (Grade II and III) that showed IDM CNR in the range of 1.22−1.27 (±0.45−0.82). Conventional attenuation measurements in DLCT data performed equally or slightly superior to iodine density measurements. Conclusion: Quantitative attenuation and iodine density measurements of contrast-enhancing brain tumors are feasible imaging biomarkers for the discrimination of cerebral tumor lesions but not specifically for single tumor entities. CNR based on simple HU measurements performed equally or slightly superior to iodine quantification.

Indexed as

dual-energy computed tomographyiodine quantificationneurooncologytumor differentiation

Identifiers

PMID36292183
PMCPMC9601196

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