Evidence map›Paper›PMID 39382796›Full record

ArticleInsights into imaging2024

[

Thiemo J A van Nijnatten, Cornelis M de Mooij, Cristina Mitea, Janneke Houwers, Maaike de Boer, Marjolein L Smidt, Felix M Mottaghy, Joachim E Wildberger

Abstract read
In one paragraph

Article in Insights into imaging, 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
–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

2 citing papers in PubMed.

  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

8 authors.

Thiemo J A van NijnattenDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands. Thiemo.nijnatten@mumc.nl.ORCID http://orcid.org/0000-0002-6431-3538
Cornelis M de MooijDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Cristina MiteaDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Janneke HouwersDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Maaike de BoerGROW-Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Marjolein L SmidtGROW-Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Felix M MottaghyDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Joachim E WildbergerDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate in a feasibility study the combination of [

methodsConsecutive patients with breast cancer diagnoses according to conventional imaging modalities (full-field digital mammography (FFDM) and ultrasound (US)) were prospectively included. All patients underwent [

resultsFrom April 2021-April 2022, 28 patients were included. On conventional imaging, cT1-2 breast cancer was present in 22 (FFDM) and 23 (US) out of 28 patients. With regard to clinical nodal status, eight patients were considered cN0, eighteen cN1 (1-3 suspicious lymph nodes), and two patients were cN2 (four suspicious axillary lymph nodes/internal mammary lymph node metastasis). [

conclusion[ KEY POINTS: [

Indexed as

Breast neoplasmsComputed tomographyMagnetic resonance imagingNeoplasm stagingPositron emission tomography

Identifiers

PMID39382796
PMCPMC11464706

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.