Evidence map›Paper›PMID 41681836›Full record

ArticleCancers2026

Spectral Precision: The Added Value of Dual-Energy CT for Axillary Lymph Node Characterization in Breast Cancer.

Susanna Guerrini, Giulio Bagnacci, Paola Morrone, Cecilia Zampieri, Chiara Esposito, Iacopo Capitoni, Nunzia Di Meglio, Armando Perrella, Francesco Gentili, Alessandro Neri and 2 more

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Susanna GuerriniDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.ORCID 0000-0001-7875-3342
Giulio BagnacciDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.
Paola MorroneDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.
Cecilia ZampieriDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.
Chiara EspositoDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.
Iacopo CapitoniDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.ORCID 0009-0007-9640-8770
Nunzia Di MeglioDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.ORCID 0009-0002-6019-8541
Armando PerrellaDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.ORCID 0000-0002-0888-5187
Francesco GentiliDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.
Alessandro NeriBreast Cancer Surgery Unit, Department of Women's and Children's Health, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy.
Donato CasellaBreast Cancer Surgery Unit, Department of Women's and Children's Health, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy.
Maria Antonietta MazzeiDiagnostic Imaging Unit, Department of Medical Sciences, Azienda Ospedaliero Universitaria Senese, 53100 Siena, Italy.ORCID 0000-0001-6778-6894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

breast cancerdual-energy CTlymph nodemedical imagingprecision medicineprediction model

Identifiers

PMID41681836
PMCPMC12896593

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.