Evidence map›Paper›PMID 38938658›Full record

ArticlePolish journal of radiology2024

Comparison of the effectiveness of contrast-enhanced mammography in detecting malignant lesions in patients with extremely dense breasts compared to the all-densities population.

Anna Grażyńska, Agnieszka Niewiadomska, Aleksander J Owczarek, Mateusz Winder, Jakub Hołda, Olga Zwolińska, Anna Barczyk-Gutkowska, Sandra Modlińska, Andrzej Lorek, Aleksandra Kuźbińska and 1 more

Abstract read
In one paragraph

Article in Polish journal of radiology, 2024. 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

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

3 citing papers in PubMed.

  1. Article
  2. Contrast-enhanced mammography in high-dense breasts: a narrative review.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
  3. 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

11 authors.

Anna GrażyńskaDepartment of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland.
Agnieszka NiewiadomskaDepartment of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland.
Aleksander J OwczarekHealth Promotion and Obesity Management Unit, Department of Pathophysiology, Medical University of Silesia, Katowice, Poland.
Mateusz WinderDepartment of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland.
Jakub HołdaDepartment of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland.
Olga ZwolińskaDepartment of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland.
Anna Barczyk-GutkowskaDepartment of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland.
Sandra ModlińskaDepartment of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland.
Andrzej LorekDepartment of Oncological Surgery, Prof. Kornel Gibiński Independent Public Central Clinical Hospital, Katowice, Poland.
Aleksandra KuźbińskaDepartment of Pathomorfology, Medical University of Silesia, Katowice, Poland.
Katarzyna Steinhof-RadwańskaDepartment of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To assess the effectiveness of contrast-enhanced mammography (CEM) recombinant images in detecting malignant lesions in patients with extremely dense breasts compared to the all-densities population. Material and methods: 792 patients with 808 breast lesions, in whom the final decision on core-needle biopsy was made based on CEM, and who received the result of histopathological examination, were qualified for a single-centre, retrospective study. Patient electronic records and imaging examinations were reviewed to establish demographics, clinical and imaging findings, and histopathology results. The CEM images were reassessed and assigned to the appropriate American College of Radiology (ACR) density categories. Results: Extremely dense breasts were present in 86 (10.9%) patients. Histopathological examination confirmed the presence of malignant lesions in 52.6% of cases in the entire group of patients and 43% in the group of extremely dense breasts. CEM incorrectly classified the lesion as false negative in 16/425 (3.8%) cases for the whole group, and in 1/37 (2.7%) cases for extremely dense breasts. The sensitivity of CEM for the group of all patients was 96.2%, specificity - 60%, positive predictive values (PPV) - 72.8%, and negative predictive values (NPV) - 93.5%. In the group of patients with extremely dense breasts, the sensitivity of the method was 97.3%, specificity - 59.2%, PPV - 64.3%, and NPV - 96.7%. Conclusions: CEM is characterised by high sensitivity and NPV in detecting malignant lesions regardless of the type of breast density. In patients with extremely dense breasts, CEM could serve as a complementary or additional examination in the absence or low availability of MRI.

Indexed as

breast cancerbreast densitycontrast-enhanced mammographyextremely dense breasts

Identifiers

PMID38938658
PMCPMC11210381

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.