Evidence map›Paper›PMID 38611654›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Advancing Differentiation of Hepatic Metastases in Malignant Melanoma through Dual-Energy Computed Tomography Rho/Z Maps.

Ibrahim Yel, Vitali Koch, Leon D Gruenewald, Scherwin Mahmoudi, Leona S Alizadeh, Aynur Goekduman, Katrin Eichler, Thomas J Vogl, Mirela Dimitrova, Christian Booz

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 1 institution in 1 country.

Ibrahim YelClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.ORCID 0000-0002-3894-4782
Vitali KochClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.ORCID 0000-0001-6915-5906
Leon D GruenewaldClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.ORCID 0000-0001-7959-5008
Scherwin MahmoudiClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.
Leona S AlizadehClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.ORCID 0000-0001-8141-7454
Aynur GoekdumanClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.
Katrin EichlerClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.
Thomas J VoglClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.ORCID 0000-0001-5218-1075
Mirela DimitrovaClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.ORCID 0000-0002-6905-8556
Christian BoozClinic for Radiology and Nuclear Medicine, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.
Goethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study is to evaluate the diagnostic accuracy of dual-energy computed tomography (DECT)-based Rho/Z maps in differentiating between metastases and benign liver lesions in patients diagnosed with malignant melanoma compared to conventional CT value measurements.

methodsThis retrospective study included 73 patients (mean age, 70 ± 13 years; 43 m/30 w) suffering from malignant melanoma who had undergone third-generation DECT as part of tumor staging between December 2017 and December 2021. For this study, we measured Rho (electron density) and Z (effective atomic number) values as well as Hounsfield units (HUs) in hypodense liver lesions. Values were compared, and diagnostic accuracy for differentiation was computed using receiver operating characteristic (ROC) curve analyses. Additional performed MRI or biopsies served as a standard of reference.

resultsA total of 136 lesions (51 metastases, 71 cysts, and 14 hemangiomas) in contrast-enhanced DECT images were evaluated. The most notable discrepancy (

conclusionsRho and Z measurements derived from DECT allow for improved differentiation of liver metastases and benign liver cysts in patients with malignant melanoma compared to conventional CT value measurements. In contrast, in differentiation between liver hemangiomas and metastases, Rho/Z maps show inferior diagnostic accuracy. Therefore, differentiation between these two lesions remains a challenge for CT imaging.

Indexed as

dual-energy CTHUmalignant melanomametastasisRho/Z

Identifiers

PMID38611654
PMCPMC11012221
OpenAlexW4393357329

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.