Evidence map›Paper›PMID 38076239›Full record

ArticleFrontiers in medicine2023

The ability of digital breast tomosynthesis to reduce additional examinations in older women.

Maha Gharaibeh, Ahmad Abu Alfwares, Eyhab Elobeid, Ruba Khasawneh, Liqa Rousan, Mwaffaq El-Heis, Mooath Al-Jarrah, Ahmed A Haj Hussein, Maryam Altalhi, Laith Abualigah

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. 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
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

10 authors at 3 institutions in 6 countries.

Maha GharaibehDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Ahmad Abu AlfwaresDepartment of Radiation Technology, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Eyhab ElobeidDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Ruba KhasawnehDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Liqa RousanDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mwaffaq El-HeisDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mooath Al-JarrahDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Ahmed A Haj HusseinDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Maryam AltalhiDepartment of Management Information Systems, College of Business Administration, Taif University, Taif, Saudi Arabia.
Laith AbualigahComputer Science Department, Al al-Bayt University, Mafraq, Jordan.
Jordan University of Science and Technology · JOAl-Ahliyya Amman University · JOTaif University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To assess the diagnostic performance of digital breast tomosynthesis (DBT) in older women across varying breast densities and to compare its effectiveness for cancer detection with 2D mammography and ultrasound (U/S) for different breast density categories. Furthermore, our study aimed to predict the potential reduction in unnecessary additional examinations among older women due to DBT. Methods: This study encompassed a cohort of 224 older women. Each participant underwent both 2D mammography and digital breast tomosynthesis examinations. Supplementary views were conducted when necessary, including spot compression and magnification, ultrasound, and recommended biopsies. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) were calculated for 2D mammography, DBT, and ultrasound. The impact of DBT on diminishing the need for supplementary imaging procedures was predicted through binary logistic regression. Results: In dense breast tissue, DBT exhibited notably heightened sensitivity and NPV for lesion detection compared to non-dense breasts (61.9% vs. 49.3%, Conclusion: Our findings indicate that among older women, DBT does not significantly decrease the requirement for further medical examinations.

Indexed as

breast densitydiagnostic performancedigital breast tomosynthesis (DBT)sensitivityunnecessary additional examinations

Identifiers

PMID38076239
PMCPMC10702740
OpenAlexW4388940832

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.