Evidence map›Paper›PMID 34567998›Full record

ArticleFrontiers in oncology2021

Is Elevated Choline on Magnetic Resonance Spectroscopy a Reliable Marker of Breast Lesion Malignancy?

Natasa Prvulovic Bunovic, Olivera Sveljo, Dusko Kozic, Jasmina Boban

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 12 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

4 authors at 2 institutions in 1 country.

Natasa Prvulovic BunovicDepartment of Radiology, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Olivera SveljoCenter for Diagnostic Imaging, Oncology Institute of Vojvodina, Sremska Kamenica, Serbia.
Dusko KozicDepartment of Radiology, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Jasmina BobanDepartment of Radiology, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Oncology Institute of Vojvodina · RSUniversity of Novi Sad · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContemporary magnetic resonance imaging (MRI) of the breast represents a powerful diagnostic modality for cancer detection, with excellent sensitivity and high specificity. Magnetic resonance spectroscopy (MRS) is being explored as an additional tool for improving specificity in breast cancer detection, using multiparametric MRI. The aim of this study was to examine the possibility of 1H-MRS to discriminate malignant from benign breast lesions, using elevated choline (Cho) peak as an imaging biomarker.

methodsA total of 60 patients were included in this prospective study: 30 with malignant (average age, 55.2 years; average lesion size, 35 mm) and 30 with benign breast lesions (average age, 44.8 years; average lesion size, 20 mm), who underwent multiparametric MRI with multivoxel 3D

resultsCholine peak was elevated in 24/30 malignant lesions and in 20/27 benign breast lesions. The sensitivity of

conclusionAlthough elevation of the choline peak has a good sensitivity and specificity in breast cancer detection, both are significantly lower than those of multiparametric MRM. Inclusion of spectra located on tumor margins as well as analysis of lipid peaks could aid both sensitivity and specificity. An important ratio of false-positive and false-negative findings in specific types of breast lesions (lobular cancer and adenoid fibroadenoma) suggests interpreting these lesions with a caveat.

Indexed as

biomarkersbreastbreast neoplasmsmagnetic resonance imagingmagnetic resonance spectroscopy

Identifiers

PMID34567998
PMCPMC8462297
OpenAlexW3200719581

What OpenQuestion holds

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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.