Evidence map›Paper›PMID 40278310›Full record

ReviewJournal of personalized medicine2025

The Role of Dual-Energy CT in Differentiating Adrenal Adenomas from Metastases: A Comprehensive Narrative Review.

Francesco Tiralongo, Cristina Mosconi, Pietro Valerio Foti, Aldo Eugenio Calogero, Sandro La Vignera, Corrado Ini', Davide Giuseppe Castiglione, Emanuele David, Stefania Tamburrini, Sebastiano Barbarino and 2 more

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

12 authors.

Francesco TiralongoRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.ORCID 0000-0001-9637-1970
Cristina MosconiDepartment of Radiology, IRCCS Azienda Ospedaliero Universitaria Di Bologna, Via Albertoni 15, 40138 Bologna, Italy.
Pietro Valerio FotiRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.ORCID 0000-0002-0918-0103
Aldo Eugenio CalogeroDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-6950-335X
Sandro La VigneraDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-7113-2372
Corrado Ini'Radiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.ORCID 0000-0002-7529-2680
Davide Giuseppe CastiglioneRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.ORCID 0000-0002-1542-1073
Emanuele DavidRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.
Stefania TamburriniDepartment of Radiology, Ospedale del Mare, ASL NA1 Centro, 80147 Naples, Italy.ORCID 0000-0003-0455-0256
Sebastiano BarbarinoRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.
Stefano PalmucciUOSD IPTRA, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.ORCID 0000-0002-7196-2974
Antonio BasileRadiology Unit 1, Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinico "G. Rodolico-San Marco", University of Catania, 95123 Catania, Italy.

Funding

We would like to note that this manuscript was invited by Ms. Jazlyn Meng with a 100% discount. Please contact Ms. Meng to obtain the voucher code for the submission fee waiver. We would like to note that this manuscript was invited by Ms. Jazlyn Meng with a 100% discount. Please contact Ms. Meng to obtain the voucher code for the submission fee waiver.
6 · The paper itself

Abstract

Dual-energy CT (DECT) has emerged as a novel imaging modality that offers a multiparametric approach for noninvasive adrenal lesion characterization. This narrative review examines recent advances in DECT-including virtual non-contrast imaging, iodine density quantification, spectral curve analysis, and material density mapping-for differentiating benign adrenal adenomas from metastases. Conventional CT techniques rely primarily on unenhanced attenuation measurements and contrast washout kinetics; however, these methods may be limited in evaluating lipid-poor adenomas, and in cases where imaging features overlap with metastatic lesions. Although virtual non-contrast imaging with DECT tends to overestimate attenuation relative to true non-contrast scans, the recalibration of diagnostic thresholds and integration with complementary parameters, such as the iodine density-to-virtual non-contrast attenuation ratio, can significantly enhance sensitivity and specificity. Additional parameters, including fat fraction analysis and the evaluation of attenuation changes across energy spectra, further refine tissue characterization by quantifying intracellular lipid content and vascularity. Material density analysis has demonstrated near-perfect diagnostic accuracy in select studies. By tailoring imaging evaluation to the unique spectral and compositional features of each adrenal lesion, DECT contributes to a more personalized diagnostic approach. This individualization allows for better differentiation between benign and malignant findings, potentially avoiding unnecessary interventions and enabling more targeted clinical management. Despite these promising developments, challenges remain regarding the standardization of acquisition protocols, optimization of diagnostic thresholds, and minimization of interobserver variability. Emerging radiomics and machine learning applications may further automate lesion classification and improve diagnostic accuracy. Thus, DECT holds considerable potential to improve diagnostic confidence, reduce radiation exposure, and streamline the management of patients with adrenal incidentalomas, although further multicenter validation is warranted.

Indexed as

adrenal glandadrenocortical adenomadual-energy computed tomographyfat fractionneoplasmspectral imagingvirtual non-contrast imaging

Identifiers

PMID40278310
PMCPMC12028780

What OpenQuestion holds

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Registered trials

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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.