Evidence map›Paper›PMID 36980315›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Freehand 1.5T MR-Guided Vacuum-Assisted Breast Biopsy (MR-VABB): Contribution of Radiomics to the Differentiation of Benign and Malignant Lesions.

Alberto Stefano Tagliafico, Massimo Calabrese, Nicole Brunetti, Alessandro Garlaschi, Simona Tosto, Giuseppe Rescinito, Gabriele Zoppoli, Michele Piana, Cristina Campi

Open access · goldFull text 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

9 authors at 2 institutions in 1 country.

Alberto Stefano TagliaficoDipartimento di Radiodiagnostica, IRCCS-Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genvoa, Italy.ORCID 0000-0003-1736-0697
Massimo CalabreseDipartimento di Radiodiagnostica, IRCCS-Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genvoa, Italy.
Nicole BrunettiDipartimento di Radiodiagnostica, IRCCS-Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genvoa, Italy.ORCID 0000-0003-2487-248X
Alessandro GarlaschiDipartimento di Radiodiagnostica, IRCCS-Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genvoa, Italy.
Simona TostoDipartimento di Radiodiagnostica, IRCCS-Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genvoa, Italy.
Giuseppe RescinitoDipartimento di Radiodiagnostica, IRCCS-Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genvoa, Italy.
Gabriele ZoppoliDipartimento di Radiodiagnostica, IRCCS-Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genvoa, Italy.ORCID 0000-0002-1619-1708
Michele PianaDipartimento di Matematica (DIMA), Università di Genova, Via Dodecaneso 35, 16146 Genova, Italy.
Cristina CampiDipartimento di Matematica (DIMA), Università di Genova, Via Dodecaneso 35, 16146 Genova, Italy.ORCID 0000-0003-2105-8554
Ospedale Policlinico San Martino · ITIstituto Nazionale di Fisica Nucleare, Sezione di Genova · IT

Funding

Italian Ministry of Health NA
6 · The paper itself

Abstract

Radiomics and artificial intelligence have been increasingly applied in breast MRI. However, the advantages of using radiomics to evaluate lesions amenable to MR-guided vacuum-assisted breast biopsy (MR-VABB) are unclear. This study includes patients scheduled for MR-VABB, corresponding to subjects with MRI-only visible lesions, i.e., with a negative second-look ultrasound. The first acquisition of the multiphase dynamic contrast-enhanced MRI (DCE-MRI) sequence was selected for image segmentation and radiomics analysis. A total of 80 patients with a mean age of 55.8 years ± 11.8 (SD) were included. The dataset was then split into a training set (50 patients) and a validation set (30 patients). Twenty out of the 30 patients with a positive histology for cancer were in the training set, while the remaining 10 patients with a positive histology were included in the test set. Logistic regression on the training set provided seven features with significant

Indexed as

breast cancermagnetic resonance imagingMR-guided vacuum-assisted breast biopsyradiomics

Identifiers

PMID36980315
PMCPMC10047866
OpenAlexW4323362438

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read12
identifiers read1
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.