Evidence map›Paper›PMID 33242249›Full record

ArticleThe British journal of radiology2021

Diagnostic accuracy of contrast-enhanced digital mammography in breast cancer detection in comparison to tomosynthesis, synthetic 2D mammography and tomosynthesis combined with ultrasound in women with dense breast.

Rashmi Sudhir, Kamala Sannapareddy, Alekya Potlapalli, Pooja Boggaram Krishnamurthy, Suryakala Buddha, Veeraiah Koppula

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  13. 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
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  15. Article
  16. State-of-the-art for contrast-enhanced mammography.The British journal of radiology · 2024
    Review
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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

6 authors at 1 institution in 1 country.

Rashmi SudhirBasavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, India.
Kamala SannapareddyBasavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, India.
Alekya PotlapalliBasavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, India.
Pooja Boggaram KrishnamurthyBasavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, India.
Suryakala BuddhaBasavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, India.
Veeraiah KoppulaBasavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, India.
Basavatarakam Indo American Cancer Hospital and Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the diagnostic efficacy of contrast-enhanced digital mammography (CEDM) in breast cancer detection in comparison to synthetic two-dimensional mammography (s2D MG), digital breast tomosynthesis (DBT) alone and DBT supplemented with ultrasound examination in females with dense breast with histopathology as the gold-standard.

methodsIt was a prospective study, where consecutive females presenting to symptomatic breast clinic between April 2019 and June 2020 were evaluated with DBT. Females who were found to have heterogeneously dense (ACR type C) or extremely dense (ACR type D) breast composition detected on s2D MG were further evaluated with high-resolution breast ultrasound and thereafter with CEDM, but before the core biopsy or surgical excision, were included in the study. s2D MG was derived from post-processing reconstruction of DBT data set. Females with pregnancy, renal insufficiency or prior allergic reaction to iodinated contrast agent were excluded from the study. Image interpretation was done by two experienced breast radiologists and both were blinded to histological diagnosis.

resultsThis study included 166 breast lesions in130 patients with mean age of 45 ± 12 years (age range 24-72 years). There were 87 (52.4%) malignant and 79 (47.6%) benign lesions. The sensitivity of CEDM was 96.5%, significantly higher than synthetic 2D MG (75.6%,

conclusionCEDM is an accurate diagnostic technique for cancer detection in dense breast. CEDM allowed a significantly higher number of breast cancer detection than the s2D MG, DBT alone and DBT supplemented with ultrasonography in females with dense breast. ADVANCES IN KNOWLEDGE: CEDM is a promising novel technology with higher sensitivity and negative predictive value for breast cancer detection in females with dense breast in comparison to DBT alone or DBT supplemented with ultrasound.

Indexed as

Breast DensityContrast MediaAdultAgedBreastBreast NeoplasmsFemaleHumansMammographyMiddle AgedMultimodal ImagingProspective StudiesRadiographic Image EnhancementReproducibility of ResultsSensitivity and SpecificityUltrasonography, MammaryContrast Media

Identifiers

PMID33242249
PMCPMC7934319
OpenAlexW3110380890

What OpenQuestion holds

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Registered trials

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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.