Evidence map›Paper›PMID 38305940›Full record

ArticleBreast cancer research and treatment2024

MRI-visualized T2 hyperintense breast lesions: identifying clinical and imaging factors linked to malignant biopsy outcomes.

Mary Beth Bissell, Sareh Keshavarsi, Rachel Fleming, Frederick Au, Supriya Kulkarni, Sandeep Ghai, Vivianne Freitas

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Article in Breast cancer research and treatment, 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
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

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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

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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

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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 3 institutions in 1 country.

Mary Beth BissellDepartment of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, 501 Smyth Rd, Ottawa, ON, K1S 2H6, Canada.
Sareh KeshavarsiDepartment of Biostatistics, Princess Margaret Cancer Centre, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Rachel FlemingDepartment of Radiology, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Frederick AuDepartment of Radiology, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Supriya KulkarniDepartment of Radiology, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Sandeep GhaiDepartment of Radiology, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Vivianne FreitasDepartment of Radiology, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada. vivianne.freitas@uhn.ca.ORCID http://orcid.org/0000-0003-2563-0861
University of Toronto · CAPrincess Margaret Cancer Centre · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the malignancy rate for MRI-guided breast biopsies performed for T2 hyperintense breast lesions and to assess additional clinical and MRI characteristics that can predict benign and malignant outcomes.

methodsA retrospective chart review of consecutive MRI-guided breast biopsies performed in two tertiary hospitals was conducted over two years. Biopsies performed for T2 hyperintense lesions were selected, and further lesion imaging characteristics and patient risk factors were collected. Univariate and multivariate modeling regression were used to determine additional imaging and patient factors associated with malignant outcomes for biopsies of T2 hyperintense lesions.

resultsOut of 369 MRI-guided breast biopsies, 100 (27%) were performed for T2 hyperintense lesions. Two biopsy-proven benign lesions were excluded as the patient was lost on follow-up. With a study cohort of 98 lesions, the final pathology results were benign for 80 (80%) of these lesions, while 18 (18%) were malignant. Using multivariate logistic modeling, patient age > 50 (OR 5.99 (1.49, 24.08 95% CI), p < 0.05) and lesion size > 3 cm (OR 5.54 (1.54-18.7), p < 0.01) were found to be important predictors of malignant outcomes for MRI biopsies performed for T2 hyperintense lesions.

conclusionOur study observed a high malignancy rate, challenging the assumption that T2 hyperintensity can be considered a benign imaging characteristic for otherwise suspicious MRI-detected lesions. Decision-making regarding tissue sampling should be made based on a thorough evaluation of more reliable additional demographic and imaging factors, including patient age and lesion size.

Indexed as

Breast NeoplasmsImage-Guided BiopsyMagnetic Resonance ImagingAdultAgedBreastFemaleHumansMiddle AgedRetrospective StudiesRisk FactorsBreast cancerMalignancyMRI-guided breast biopsyT2 hyperintense

Identifiers

PMID38305940
OpenAlexW4391480168

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Registered trials

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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.