Evidence map›Paper›PMID 35617870›Full record

ArticleEuropean journal of radiology2022

A comparative efficacy study of diagnostic digital breast tomosynthesis and digital mammography in BI-RADS 4 breast cancer diagnosis.

Chika F Ezeana, Mamta Puppala, Lin Wang, Jenny C Chang, Stephen T C Wong

Open access · hybridAbstract read
In one paragraph

Article in European journal of radiology, 2022. 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
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Chika F EzeanaDept. of Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital, Houston, TX, USA. Electronic address: cfezeana@houstonmethodist.org.
Mamta PuppalaDept. of Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital, Houston, TX, USA. Electronic address: mpuppala@houstonmethodist.org.
Lin WangDept. of Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital, Houston, TX, USA. Electronic address: lwang3@houstonmethodist.org.
Jenny C ChangHouston Methodist Cancer Center, Houston Methodist Hospital, Houston, TX, USA. Electronic address: jcchang@houstonmethodist.org.
Stephen T C WongDept. of Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Houston Methodist Hospital, Houston, TX, USA; Department of Radiology, Houston Methodist Hospital, Houston, TX, USA. Electronic address: stwong@houstonmethodist.org.
Methodist Hospital · US

Funding

Convergent AI for Precise Breast Cancer Risk AssessmentR01CA251710 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI WONG, STEPHEN TC · 2020 to 2024
$2.5M
NCI NIH HHS R01 CA251710
6 · The paper itself

Abstract

purposeProbability of malignancy for BI-RADS 4-designated breast lesions ranges from 2% to 95%, contributing to high false-positive biopsy rates. We compare clinical performance of digital breast tomosynthesis (DBT) versus digital mammography (2D) among our BI-RADS 4 population without prior history of breast cancer.

methodsWe extracted retrospective data i.e., clinical, mammogram reports, and biopsy data, from electronic medical records across Houston Methodist's nine hospitals for patients who underwent diagnostic examinations using both modalities (02/01/2015 - 09/30/2020). 2D and DBT cohorts were not intra-individual matched, and there was no direct mammogram evaluation. Using Student's t test, Fisher's exact test, and Chi-squared test, we evaluated the data to determine statistical significance of differences between modalities in BI-RADS 4 cases. We calculated adjusted odds-ratio between modalities for cancer detection rate (CDR) and biopsy-derived positive predictive value (PPV3).

resultsThere were 6,356 encounters (6,020 patients) in 2D and 5,896 encounters (5,637 patients) in DBT assessed as BI-RADS 4. Using Fisher's exact test, DBT mammography cases were significantly assessed as BI-RADS 4 5.66% more often than those undergoing 2D mammography, P = 0.0046 (1.0566 95% CI: 1.0169-1.0977). The CDRs were 112.65 (2D) and 120.76 (DBT), adjusted odds-ratio: 1.04 (0.93, 1.16)), P = 0.5029, while PPV3 were 14.41% (2D) and 15.99% (DBT), adjusted odds-ratio: 1.09 (0.97, 1.22), P = 0.1483; both logistic regression-adjusted for all other factors.

conclusionDBT did not achieve better performance and sensitivity in assigning BI-RADS 4 cases compared with 2D, showed no significant advantage in CDR and PPV3, and does not reduce false-positive biopsies among BI-RADS 4-assessed patients.

Indexed as

Breast NeoplasmsBiopsyBreastFemaleHumansMammographyPredictive Value of TestsRetrospective Studiesbiopsy-derived positive predictice valueBI-RADS4-assessed patientscancer detection ratedigital breast tomosynthesisdigital mammographyfalse-positive biopsies

Identifiers

PMID35617870
PMCPMC10347302
OpenAlexW4280589953

What OpenQuestion holds

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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.