Evidence map›Paper›PMID 37370892›Full record

ArticleDiagnostics (Basel, Switzerland)2023

An Unenhanced Breast MRI Protocol Based on Diffusion-Weighted Imaging: A Retrospective Single-Center Study on High-Risk Population for Breast Cancer.

Anna Rotili, Filippo Pesapane, Giulia Signorelli, Silvia Penco, Luca Nicosia, Anna Bozzini, Lorenza Meneghetti, Cristina Zanzottera, Sara Mannucci, Bernardo Bonanni and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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
0.9field-weighted citation impact, top 25% 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. Review
  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

11 authors at 1 institution in 1 country.

Anna RotiliBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0001-9439-9275
Filippo PesapaneBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0002-0374-5054
Giulia SignorelliBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Silvia PencoBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Luca NicosiaBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0003-3979-8075
Anna BozziniBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Lorenza MeneghettiBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Cristina ZanzotteraDivision of Cancer Prevention and Genetics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Sara MannucciDivision of Cancer Prevention and Genetics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Bernardo BonanniDivision of Cancer Prevention and Genetics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0003-3589-2128
Enrico CassanoBreast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0002-3437-8939
European Institute of Oncology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the use of contrast-free magnetic resonance imaging (MRI) as an innovative screening method for detecting breast cancer in high-risk asymptomatic women. Specifically, the researchers evaluated the diagnostic performance of diffusion-weighted imaging (DWI) in this population.

methodsMR images from asymptomatic women, carriers of a germline mutation in either the BRCA1 or BRCA2 gene, collected in a single center from January 2019 to December 2021 were retrospectively evaluated. A radiologist with experience in breast imaging (R1) and a radiology resident (R2) independently evaluated DWI/ADC maps and, in case of doubts, T2-WI. The standard of reference was the pathological diagnosis through biopsy or surgery, or ≥1 year of clinical and radiological follow-up. Diagnostic performances were calculated for both readers with a 95% confidence interval (CI). The agreement was assessed using Cohen's kappa (κ) statistics.

resultsOut of 313 women, 145 women were included (49.5 ± 12 years), totaling 344 breast MRIs with DWI/ADC maps. The per-exam cancer prevalence was 11/344 (3.2%). The sensitivity was 8/11 (73%; 95% CI: 46-99%) for R1 and 7/11 (64%; 95% CI: 35-92%) for R2. The specificity was 301/333 (90%; 95% CI: 87-94%) for both readers. The diagnostic accuracy was 90% for both readers. R1 recalled 40/344 exams (11.6%) and R2 recalled 39/344 exams (11.3%). Inter-reader reproducibility between readers was in moderate agreement (κ = 0.43).

conclusionsIn female carriers of a BRCA1/2 mutation, breast DWI supplemented with T2-WI allowed breast cancer detection with high sensitivity and specificity by a radiologist with extensive experience in breast imaging, which is comparable to other screening tests. The findings suggest that DWI and T2-WI have the potential to serve as a stand-alone method for unenhanced breast MRI screening in a selected population, opening up new perspectives for prospective trials.

Indexed as

breast neoplasmdiffusion weighted imagingmagnetic resonance imagingpersonalized medicinepreventionradiology

Identifiers

PMID37370892
PMCPMC10297064
OpenAlexW4380052016

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.