Evidence map›Paper›PMID 40538997›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2025

Contrast-enhanced spectral mammography demonstrates better inter-reader repeatability than digital mammography for screening breast cancer patients.

Alisa Mohebbi, Ali Abdi, Saeed Mohammadzadeh, Mohammad Mirza-Aghazadeh-Attari, Ali Abbasian Ardakani, Afshin Mohammadi

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alisa MohebbiUniversal Scientific Education and Research Network (USERN), Tehran, Iran.ORCID https://orcid.org/0009-0001-3393-3451
Ali AbdiUniversal Scientific Education and Research Network (USERN), Tehran, Iran.ORCID https://orcid.org/0009-0000-4392-6880
Saeed MohammadzadehUniversal Scientific Education and Research Network (USERN), Tehran, Iran.
Mohammad Mirza-Aghazadeh-AttariJohns Hopkins University, School of Medicine, Russell H. Morgan Department of Radiology and Radiological Sciences, Baltimore, Maryland, United States.
Ali Abbasian ArdakaniShahid Beheshti University of Medical Sciences, School of Allied Medical Sciences, Department of Radiology Technology, Tehran, Iran.ORCID https://orcid.org/0000-0001-7536-0973
Afshin MohammadiUrmia University of Medical Science, Head of Radiology Department, Faculty of Medicine, Urmia, Iran.ORCID https://orcid.org/0000-0002-9557-3359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Our purpose is to assess the inter-rater agreement between digital mammography (DM) and contrast-enhanced spectral mammography (CESM) in evaluating the Breast Imaging Reporting and Data System (BI-RADS) grading. Approach: This retrospective study included 326 patients recruited between January 2019 and February 2021. The study protocol was pre-registered on the Open Science Framework platform. Two expert radiologists interpreted the CESM and DM findings. Pathological data are used for radiologically suspicious or malignant-appearing lesions, whereas follow-up was considered the gold standard for benign-appearing lesions and breasts without lesions. Results: For intra-device agreement, both imaging modalities showed "almost perfect" agreement, indicating that different radiologists are expected to report the same BI-RADS score for the same image. Despite showing a similar interpretation, a paired Conclusions: Our findings demonstrated strong agreement among readers regarding the identification of DM and CESM findings in breast images from various views. Moreover, it indicates that CESM is equally precise compared with DM and can be used as an alternative in clinical centers.

Indexed as

breast cancerBreast Imaging Reporting and Data Systemcontrast-enhanced spectral mammographydigital mammography

Identifiers

PMID40538997
PMCPMC12175086

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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.