Evidence mapPaperPMID 42332073Full record

ArticleScientific reports2026

Assessment of breast cancer and feasibility of subtyping of breast cancer using thoracoabdominal staging photon-counting detector computed tomography.

Claudia Neubauer, Jakob Benedikt Weiß, Moisés F Molina Fuentes, Oliver Gebler, Lisa Jung, Sarah Isabelle Huwer, Florin-Andrei Taran, Ingolf Juhasz-Böss, Fabian Bamberg, Marisa Windfuhr-Blum and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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

11 authors.

Claudia NeubauerDepartment of Diagnostic and Interventional Radiology , University Medical Center Freiburg , Freiburg, Germany. claudia.neubauer@uniklinik-freiburg.de.ORCID 0000-0003-4066-2773
Jakob Benedikt WeißDepartment of Diagnostic and Interventional Radiology , University Medical Center Freiburg , Freiburg, Germany.
Moisés F Molina FuentesDepartment of Neuroradiology , University Hospital of Zurich , Zurich, Switzerland.
Oliver GeblerDepartment of Diagnostic and Interventional Radiology , University Medical Center Freiburg , Freiburg, Germany.
Lisa JungDepartment of Obstetrics & Gynecology , University Medical Center Freiburg , Freiburg, Germany.
Sarah Isabelle HuwerDepartment of Obstetrics & Gynecology , University Medical Center Freiburg , Freiburg, Germany.
Florin-Andrei TaranDepartment of Gynecology and Gynecologic Oncology Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf Medical Faculty and, University Clinic of Cologne, University of Cologne, Cologne, Germany.
Ingolf Juhasz-BössDepartment of Diagnostic and Interventional Radiology , University Medical Center Freiburg , Freiburg, Germany.
Fabian BambergDepartment of Diagnostic and Interventional Radiology , University Medical Center Freiburg , Freiburg, Germany.
Marisa Windfuhr-BlumDepartment of Diagnostic and Interventional Radiology , University Medical Center Freiburg , Freiburg, Germany.
Jakob NeubauerDepartment of Diagnostic and Interventional Radiology , University Medical Center Freiburg , Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this prospective study, we evaluated the performance of thoracoabdominal photon-counting detector computed tomography (PCD-CT) for breast cancer assessment with MRI as reference standard and iodine uptake as a potential marker for breast cancer subtyping. 75 women (mean age: 55.8 ± 13.9 years [SD]) with 79 newly diagnosed breast cancers and indication for staging CT received a prone-positioned contrast-enhanced thoracoabdominal PCD-CT and a breast MRI. Cancer visibility (median 1/1/1, IQR 0/1/1) and image quality (median 1/1/1, IQR 0/0/0) were rated excellent in PCD-CT on a 4-point Likert scale (1 = excellent, 4 = poor). Cancer size in PCD-CT correlated significantly with MRI (p < 0.001). Diagnostic accuracy was good for T-stage (pooled accuracy 0.814), focality (0.772), axillary (0.822) and internal mammary lymph nodes (0.981), moderate for ductal carcinoma in situ (0.591). A significantly lower maximum iodine uptake was revealed in cancer with ductal carcinoma in situ (p = 0.027), a significantly lower mean iodine uptake in triple negative cancers (p = 0.003). Thoracoabdominal PCD-CT demonstrated excellent cancer visibility with convincing results for assessing cancer size, T-stage, and lymph node status. Iodine uptake shows promising associations with triple negative breast cancer.

Indexed as

Breast NeoplasmsTomography, X-Ray ComputedAdultAgedContrast MediaFeasibility StudiesFemaleHumansMagnetic Resonance ImagingMiddle AgedNeoplasm StagingProspective StudiesContrast MediaBreast cancerBreast cancer subtypingContrast-enhanced computed tomographyPhoton-counting detector computed tomographyStaging

Identifiers

PMID42332073
PMCPMC13287452

What Socratic 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 Socratic graph.