Evidence map›Paper›PMID 32002641›Full record

ArticleEuropean radiology2020

Can breast MRI accurately exclude malignancy in mammographic architectural distortion?

Yoav Amitai, Anabel Scaranelo, Tehillah S Menes, Rachel Fleming, Supriya Kulkarni, Sandeep Ghai, Vivianne Freitas

Abstract read
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In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  13. Radial Scar: a management dilemma.La Radiologia medica · 2021
    Review
  14. Diffusion-weighted Imaging Allows for Downgrading MR BI-RADS 4 Lesions in Contrast-enhanced MRI of the Breast to Avoid Unnecessary Biopsy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    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

7 authors at 2 institutions in 2 countries.

Yoav AmitaiJoint Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.
Anabel ScaraneloJoint Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.
Tehillah S MenesDepartment of Surgery, Tel Aviv Sourasky Medical Center, Sackler School of Medicine, Tel Aviv University, 6 Weizmann St., 64239, Tel Aviv, Israel.
Rachel FlemingJoint Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.
Supriya KulkarniJoint Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.
Sandeep GhaiJoint Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.
Vivianne FreitasJoint Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada. vivianne.freitas@uhn.ca.ORCID http://orcid.org/0000-0003-2563-0861
University Health Network · CATel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the diagnostic accuracy of problem-solving breast magnetic resonance imaging (MRI) in excluding malignancy in a cohort of patients diagnosed with mammographic architectural distortion (MAD).

methodsThe Institutional Review Board approved the study. Imaging database with 40,245 breast MRIs done between January 2008 and September 2018 was retrospectively reviewed. The study included all exams considered problem-solving MRI for MAD. Two radiologists reviewed the imaging data. Outcome was determined by the pathology results of biopsy/surgical excision or at least 1 year of clinical and radiological follow-up. Predictors for malignancy were examined, and appropriate statistical tests were applied.

resultsOne hundred seventy-five patients (median age 53 years) fulfilled the inclusion criteria and formed the study cohort. No cancers were diagnosed in 106 patients with a negative MRI. Out of 69 women with positive MRI findings, 48 (70%) had benign outcome defined either by pathology result or by negative follow-up, and 21 (30%) yielded malignancy. Malignancy was significantly associated with positive MRI (p < 0.001) and older age (p = 0.014). Falsely positive MRIs were frequently found in women with radial scars. The sensitivity, specificity, negative predictive value, positive predictive value, and overall accuracy of breast MRI were 100% (95% CI 84 to 100%), 68% (CI 61 to 76%), 100% (CI 95 to 100%), 30% (CI 26 to 36%), and 73% (95% CI 66-79), respectively.

conclusionA negative breast MRI in patients with MAD was reliable in excluding malignancy in this cohort and may have a role as a precision medicine tool for avoiding unnecessary interventions. KEY POINTS: • MRI shows a high negative predictive value in MAD cases. • MRI displays low accuracy in differentiating malignancy from RS. • MRI is a reliable non-invasive method to exclude malignancy in women with mammographic architectural distortion, potentially avoiding unnecessary biopsies and surgeries.

Indexed as

BiopsyBreastBreast NeoplasmsFemaleHumansMagnetic Resonance ImagingMammographyMiddle AgedReproducibility of ResultsRetrospective StudiesUnnecessary ProceduresArchitectural distortionBreast neoplasmMammographyProblem solvingRadial scar

Identifiers

PMID32002641
OpenAlexW3003822365

What OpenQuestion holds

Textmetadata
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.