Evidence map›Paper›PMID 36740611›Full record

ArticleBreast cancer research and treatment2023

False-positive incidental lesions detected on contrast-enhanced breast MRI: clinical and imaging features.

Afsaneh Alikhassi, Xuan Li, Frederick Au, Supriya Kulkarni, Sandeep Ghai, Grant Allison, Vivianne Freitas

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Breast cancer research and treatment, 2023. 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
3.0field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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 1 country.

Afsaneh AlikhassiDivision of Breast Imaging, Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada.
Xuan LiDepartment of Biostatistics-Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, 10Th Floor, Room 10-509, Toronto, ON, M5G 2M9, Canada.
Frederick AuJoint Department of Medical Imaging-University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 610 University Avenue, Toronto, ON, 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, ON, 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, ON, M5G 2M9, Canada.
Grant AllisonJoint Department of Medical Imaging-University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 610 University Avenue, Toronto, ON, 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, ON, M5G 2M9, Canada. vivianne.freitas@uhn.ca.ORCID http://orcid.org/0000-0003-2563-0861
University Health Network · CASunnybrook Health Science Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify demographic and imaging features of MRI-detected enhancing lesions without clinical, ultrasound, and mammographic correlation associated with false-positive outcomes, impacting patient care. MATERIALS AND

methodsA retrospective multi-institutional study of imaging studies and patient's chart review of consecutive women with MRI-detected enhancing lesions without clinical, mammogram, or ultrasound correlation between January and December 2018, who underwent MRI-guided biopsy. According to the BI-RADS lexicon, lesions' frequency and imaging features were recorded. The demographic and imaging characteristics variables were correlated with histopathology as the gold standard and an uneventful follow-up of at least one year. Univariate logistic regression analysis was used to explore the correlation between the baseline variables such as age, genetic mutation, family history of breast cancer, personal history of breast cancer, MRI indication, background parenchymal enhancement, and MRI characteristic of the lesion with the false-positive results in main data and subgroup analysis.

resultsTwo hundred nineteen women (median age 49 years; range 26-85 years) with 219 MRI-detected enhancing lesions that underwent MRI-guided vacuum-assisted biopsy during the study period fulfilled the study criteria and formed the study cohort. Out of 219, 180 lesions (82.2%) yielded benign pathology results, including 137 benign outcomes (76%) and 43 high-risk lesions (24%). Most demographic and imaging characteristics variables did not help to differentiate malignant from benign lesions. The variables that showed statistically significant association with true-positive results in univariate analyses were age (OR 1.05; 95% CI 1.02-1.08; p = 0.0015), irregular mass-lesion shape when compared with oval/round mass lesion (OR 11.2; 95% CI 1.6-78.4; p = 0.015), and clumped and clustered ring of enhancement when compared with homogeneous (OR 3.22, 95% CI 1.40-7.40; p = 0.0058). For participants with mass breast lesion, the hyperintense signal on the T2-weighted sequence (compared to the normal fibroglandular signal) was significantly related to the false-positive result (OR 0.13; 95% CI 0.02-0.76; p = 0.024).

conclusionYoung patients, oval/round mass-lesion shape, and homogeneous pattern of non-mass enhancement showed the strongest association with false-positive results of enhancing lesions depicted by MRI. For participants with mass breast lesion, T2-bright mass lesion showed significant association with false-positive result. It may impact the patient's management with a suggestion of follow-up rather than interventional procedure when these demographic and imaging parameters are present, consequently decreasing the patient's anxiety and health care costs.

Indexed as

Breast NeoplasmsBreastFemaleHumansMagnetic Resonance ImagingMiddle AgedRetrospective StudiesSensitivity and SpecificityBiopsyBreast cancerBreast MRIFalse positive

Identifiers

PMID36740611
OpenAlexW4319293765

What OpenQuestion holds

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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.