Evidence map›Paper›PMID 38137447›Full record

ArticleBiomedicines2023

Comparative Analysis of Diagnostic Performance of Automatic Breast Ultrasound, Full-Field Digital Mammography and Contrast-Enhanced Mammography in Relation to Breast Composition.

Marta Ewa Pawlak, Wojciech Rudnicki, Anna Borkowska, Karolina Skubisz, Rafał Rydzyk, Elżbieta Łuczyńska

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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

6 authors at 3 institutions in 1 country.

Marta Ewa PawlakDiagnostic Imaging Department, University Hospital in Cracow, 30-688 Cracow, Poland.ORCID 0000-0002-1141-1505
Wojciech RudnickiDepartment of Electroradiology, Jagiellonian University Medical College, 30-688 Cracow, Poland.ORCID 0000-0003-2168-5638
Anna BorkowskaDepartment of Electroradiology, Jagiellonian University Medical College, 30-688 Cracow, Poland.
Karolina SkubiszDepartment of Electroradiology, Jagiellonian University Medical College, 30-688 Cracow, Poland.
Rafał RydzykDiagnostic Imaging Department, 5th Military Clinical Hospital in Krakow, 30-901 Cracow, Poland.
Elżbieta ŁuczyńskaDepartment of Electroradiology, Jagiellonian University Medical College, 30-688 Cracow, Poland.ORCID 0000-0003-4872-7172
Jagiellonian University · PL1 Military Clinical Hospital with Outpatient Clinic · PLCracow University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This single center study includes a comparative analysis of the diagnostic performance of full-field digital mammography (FFDM), contrast-enhanced mammography (CEM) and automatic breast ultrasound (ABUS) in the group of patients with breast American College of Radiology (ACR) categories C and D as well as A and B with FFDM. The study involved 297 patients who underwent ABUS and FFDM. Breast types C and D were determined in 40% of patients with FFDM and low- energy CEM. CEM was performed on 76 patients. Focal lesions were found in 131 patients, of which 115 were histopathologically verified. The number of lesions detected in patients with multiple lesions were 40 from 48 with ABUS, 13 with FFDM and 21 with CEM. Compliance in determining the number of foci was 82% for FFDM and 91% for both CEM and ABUS. In breast types C and D, 72% of all lesions were found with ABUS, 56% with CEM and 29% with FFDM (

Indexed as

automated breast ultrasoundbreast cancercontrast-enhanced mammographymammography

Identifiers

PMID38137447
PMCPMC10741119
OpenAlexW4389389413

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.