Evidence map›Paper›PMID 38268437›Full record

ArticleThe British journal of radiology2024

Results for the London investigation into dielectric scanning of lesions study of the MARIA® M6 breast imaging system.

Richard Sidebottom, Donna Webb, Briony Bishop, Kabir Mohammed, Steven Allen

Abstract read
In one paragraph

Article in The British journal of radiology, 2024. 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.

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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

5 authors.

Richard SidebottomRoyal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, United Kingdom.ORCID 0000-0003-0063-8082
Donna WebbRoyal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, United Kingdom.
Briony BishopRoyal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, United Kingdom.
Kabir MohammedRoyal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, United Kingdom.
Steven AllenRoyal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, United Kingdom.

Funding

Micrima Limited
6 · The paper itself

Abstract

objectivesDetermine the proportion of breast cancers for which MARIA® findings correspond to the cancer, with stratification by breast density and histological type. Investigate performance in symptomatic lesions. Gain patient feedback on experience with MARIA®.

methodsMARIA® uses a radio frequency antennae array to measure signal attenuation and back scatter to build up a 3D map of tissue dielectric values. The study was a prospective, single-centre, interventional, post-approval device study. RECRUITMENT: Patients were eligible if they were attending symptomatic breast clinic or had confirmed or suspected breast cancer from any referral source. Recruitment between May 2018 and March 2020. READING: Regions of higher signal compared to background or distinct by shape were considered candidates for lesion correspondence. Up to 4 candidate regions per breast were annotated in likelihood order for representing a true lesion.

results389 patients were recruited, and 6 excluded. 114 patients recruited with breast cancers (2 bilateral, 5 multicentric). 57 (47%) malignant lesions showed correspondence between the MARIA® signal and the cancer. Higher correspondence was seen in invasive (50%) than in situ (29%) disease. There was no reduction in correspondence at higher breast density. Reduced signal correspondence in the central scan volume and for small lesions. MARIA® scanning was well tolerated.

conclusionsWe believe that MARIA® signal corresponds to a malignant lesion in 47% of breast cancers examined. ADVANCES IN KNOWLEDGE: Our study, the largest to date for this type of technology, demonstrates successes and limitations of this MARIA® M6 version.

Indexed as

BreastBreast NeoplasmsFemaleHumansLondonProspective StudiesRadionuclide Imagingbreast cancerbreast imagingmicrowave imaging

Identifiers

PMID38268437
PMCPMC11027322

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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.