Evidence map›Paper›PMID 39699673›Full record

ArticleEuropean radiology2025

Dual-energy CT for differentiation of hypodense liver lesions in pancreatic adenocarcinoma.

Corey T Jensen, Vincenzo K Wong, Gauruv S Likhari, Taher E Daoud, Moiz Ahmad, Roland Bassett, Sarah Pasyar, Mayur K Virarkar, Alicia M Roman-Colon, Xinming Liu

Abstract read
In one paragraph

Article in European radiology, 2025. 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

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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.

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4 · The record

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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.

Corey T JensenDepartment of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. cjensen@mdanderson.org.ORCID http://orcid.org/0000-0001-6540-8961
Vincenzo K WongDepartment of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gauruv S LikhariDepartment of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Taher E DaoudDepartment of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Moiz AhmadDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Roland BassettDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sarah PasyarDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mayur K VirarkarDepartment of Radiology, University of Florida College of Medicine, Jacksonville, FL, USA.
Alicia M Roman-ColonDepartment of Radiology, Texas Children's Hospital, Houston, TX, USA.
Xinming LiuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672NCI NIH HHS P30CA016672
6 · The paper itself

Abstract

objectiveTo assess the accuracy of CT spectral HU curve assessment of hypodense liver lesions.

methodsIn this retrospective HIPAA-compliant study (January 2016 through May 2023), patients with biopsy-proven pancreatic adenocarcinoma and a biopsied indeterminate liver lesion underwent a DECT abdominal CT scan. Spectral HU curves were provided for each hypodense liver lesion, and slopes were calculated. Lesion Hounsfield units, iodine concentration and virtual enhancement were recorded. The Wilcoxon rank sum test was used to compare malignant and benign lesions. Optimal cutoff points were estimated using ROC curves and Youden's Index.

resultsThirty-six patients (19 men, 17 women) with a mean age of 63 years ± 9 (standard deviation), a mean height of 170.9 cm ± 9.5, a mean weight of 69.8 kg ± 14.5, and a body mass index of 23.9 kg/m

conclusionSpectral HU curves and iodine concentration of well-defined hypodense liver lesions are highly accurate in the diagnosis of benign versus malignant lesions. KEY POINTS: Question Limited evidence exists for spectral imaging diagnosis of liver lesions-can DECT accurately differentiate between benign and metastatic hypodense liver lesions? Findings Ninety-two hypodense liver lesions evaluated using HU keV curve slope, iodine concentration, and virtual enhancement resulted in accurate benign versus metastatic differentiation. Clinical relevance Hypodense liver lesions are a challenging issue at staging, often requiring further imaging, follow-up, and/or biopsy. The additional information from multi-energy CT can be useful to differentiate between benign and malignant lesions, thereby reducing the need for costly additional evaluation.

Indexed as

AdenocarcinomaLiver NeoplasmsPancreatic NeoplasmsRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesComputed tomographyDual-energyIodineLiverPancreas

Identifiers

PMID39699673
PMCPMC12081186

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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.