Evidence map›Paper›PMID 28666188›Full record

ArticleTranslational oncology2017

Cone-beam Breast Computed Tomography: CT Density Does Not Reflect Proliferation Potential and Receptor Expression of Breast Carcinoma.

Susanne Wienbeck, Uwe Fischer, Christina Perske, Andreas Wienke, Hans Jonas Meyer, Joachim Lotz, Alexey Surov

Abstract read
In one paragraph

Article in Translational oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

7 authors.

Susanne WienbeckInstitute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany. Electronic address: susanne.wienbeck@med.uni-goettingen.de.
Uwe FischerDiagnostic Breast Center Goettingen, Goettingen, Germany.
Christina PerskeInstitute for Pathology, University Medical Center Goettingen, Goettingen, Germany.
Andreas WienkeInstitute of Medical Epidemiology, Biostatistics, and Informatics, Martin Luther University Halle-Wittenberg, Germany.
Hans Jonas MeyerDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Joachim LotzInstitute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany.
Alexey SurovDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecently, cone-beam breast computed tomography (CBCT) is established for the breast investigation. The purpose of the present study was to investigate possible associations between CBCT findings and histopathological features in breast cancer.

methodsOverall, 59 female patients, mean age of 64.6 years with histological proven breast cancer were included into the study. In all cases, non-contrast CBCT examination was done. The diagnosis of the identified lesions was confirmed histologically by biopsy. Immunohistochemical staining against estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67 was performed for every lesion. Collected data were evaluated by means of descriptive statistics. Spearman's correlation coefficient was used to analyze the association between CT density and Ki-67 values. P values <0.05 were taken to indicate statistical significance in all instances.

resultsThe size of the lesion varied from 2.7 to 90.0, mean size, 15.88±13.0 mm. The mean value of CT density of the lesions was 63.95±38.18 HU. The density tended to be higher in tubular carcinoma. Correlation analysis identified no significant correlations between CT density and Ki-67 level (r=-0.031, P=.784). There were no statistically significant differences of CT density between tumors with different receptor status.

conclusionsNo significant associations between CT density and receptor status in breast cancer. Tubular carcinoma tended to have higher CT density in comparison to other subtypes of breast carcinomas.

Identifiers

PMID28666188
PMCPMC5491450

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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.