Digital Mammography (DM) vs. Dynamic Contrast Enhancement-Magnetic Resonance Imaging (DCE-MRI) in Microcalcifications Assessment: A Radiological-Pathological Comparison.

Federica Cicciarelli, Elisa Guiducci, Francesca Galati, Giuliana Moffa, Paolo Ricci, Federica Pediconi, Veronica Rizzo

Abstract read

In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

7 authors.

Federica CicciarelliDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0009-0009-7566-1798

Elisa GuiducciDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0001-5470-3148

Francesca GalatiDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0003-2103-2856

Giuliana MoffaDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-6595-1611

Paolo RicciDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0001-5212-0678

Federica PediconiDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-1432-2137

Veronica RizzoDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0003-1781-3174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to compare the characteristics of breast microcalcification on digital mammography (DM) with the histological and molecular subtypes of breast cancer and to identify the predictive value of DM and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in assessing microcalcifications for radiologic-pathologic correlation. We relied on our prospectively maintained database of suspicious microcalcifications on DM, from which data were retrospectively collected between January 2020 and April 2023. We enrolled 158 patients, all of whom were subjected to biopsy. Additionally, 63 patients underwent breast DCE-MRI. Microcalcifications with a linear branched morphology were correlated with malignancies (

Indexed as

breast cancerbreast microcalcificationsDCE-MRIdigital mammographyradiologic–pathologic correlation

Identifiers

PMID38893590

DOI10.3390/diagnostics14111063

PMCPMC11172046

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.