Evidence map›Paper›PMID 31838292›Full record

ArticleBreast (Edinburgh, Scotland)2020

Preoperative assessment of breast cancer: Multireader comparison of contrast-enhanced MRI versus the combination of unenhanced MRI and digital breast tomosynthesis.

Rossano Girometti, Valentina Marconi, Anna Linda, Luisa Di Mico, Federica Bondini, Chiara Zuiani, Francesco Sardanelli

Abstract readComparative Study
In one paragraph

Article in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. Reply letter to Leong LT.Breast (Edinburgh, Scotland) · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Rossano GiromettiInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria Della Misericordia", P.le S. Maria Della Misercordia N, 15, 33100, Udine, Italy. Electronic address: rgirometti@sirm.org.
Valentina MarconiInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria Della Misericordia", P.le S. Maria Della Misercordia N, 15, 33100, Udine, Italy. Electronic address: vale.marconi27@gmail.com.
Anna LindaInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria Della Misericordia", P.le S. Maria Della Misercordia N, 15, 33100, Udine, Italy. Electronic address: anna.linda@asuiud.sanita.fvg.it.
Luisa Di MicoInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria Della Misericordia", P.le S. Maria Della Misercordia N, 15, 33100, Udine, Italy. Electronic address: luisa.dimico@gmail.com.
Federica BondiniInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria Della Misericordia", P.le S. Maria Della Misercordia N, 15, 33100, Udine, Italy. Electronic address: federica.bondini@gmail.com.
Chiara ZuianiInstitute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria Della Misericordia", P.le S. Maria Della Misercordia N, 15, 33100, Udine, Italy. Electronic address: chiara.zuiani@uniud.it.
Francesco SardanelliRadiology Unit, IRCCS Policlinico San Donato, Milan, Italy; Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milan, Italy. Electronic address: francesco.sardanelli@unimit.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the sensitivity for breast cancer (BC) and BC size estimation of preoperative contrast-enhanced magnetic resonance imaging (CEMRI) versus combined unenhanced magnetic resonance imaging (UMRI) and digital breast tomosynthesis (DBT). PATIENTS AND

methodsWe retrospectively included 56 women who underwent DBT and preoperative 1.5 T CEMRI between January 2016-February 2017. Three readers with 2-10 years of experience in CEMRI and DBT, blinded to pathology, independently reviewed CEMRI (diffusion-weighted imaging [DWI], T2-weighted imaging, pre- and post-contrast T1-weighted imaging) and a combination of UMRI (DWI and pre-contrast T1-weighted imaging) and DBT. We calculated per-lesion sensitivity of CEMRI and UMRI + DBT, and the agreement between CEMRI, UMRI and DBT versus pathology in assessing cancer size (Bland-Altman analysis). Logistic regression was performed to assess features predictive of cancer missing.

resultsWe included 70 lesions (64% invasive BC, 36% ductal carcinoma in situ or invasive BC with in situ component). UMRI + DBT showed lower sensitivity (86-89%) than CEMRI (94-100%), with a significant difference for the most experienced reader only (p = 0.008). False-positives were fewer with UMRI + DBT (4-5) than with CEMRI (18-25), regardless of the reader (p = 0.001-0.005). For lesion size, UMRI showed closer limits of agreement with pathology than CEMRI or DBT. Cancer size ≤1 cm was the only independent predictor for cancer missing for both imaging strategies (Odds ratio 8.62 for CEMRI and 19.16 for UMRI + DBT).

conclusionsUMRI + DBT showed comparable sensitivity and less false-positives than CEMRI in the preoperative assessment of BC. UMRI was the most accurate tool to assess cancer size.

Indexed as

MammographyAdultAgedAged, 80 and overBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingCarcinoma, LobularFalse Positive ReactionsFemaleFollow-Up StudiesHumansLogistic ModelsMagnetic Resonance ImagingMiddle AgedPreoperative CareBreast neoplasmsDigital breast tomosynthesisMagnetic resonance imagingNeoplasm stagingSensitivity

Identifiers

PMID31838292
PMCPMC7375544

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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.