Evidence map›Paper›PMID 39125478›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Improving Lesion Location Reproducibility in Handheld Breast Ultrasound.

James Chiu, Davide Bova, Georgia Spear, Jacob Ecanow, Alyssa Choate, Pierre Besson, Calin Caluser

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

James ChiuDepartment of Radiology, Endeavor Health, 2650 Ridge Ave, Evanston, IL 60201, USA.
Davide BovaDacia Medical Clinic, 917 S Oak Park Ave, Suite B, Oak Park, IL 60304, USA.
Georgia SpearDepartment of Radiology, Endeavor Health, 2650 Ridge Ave, Evanston, IL 60201, USA.
Jacob EcanowDepartment of Radiology, Endeavor Health, 2650 Ridge Ave, Evanston, IL 60201, USA.
Alyssa ChoateDepartment of Radiology, Endeavor Health, 2650 Ridge Ave, Evanston, IL 60201, USA.
Pierre BessonMetriTrack Inc., 4415 Harrison St., #243, Hillside, IL 60162, USA.
Calin CaluserMetriTrack Inc., 4415 Harrison St., #243, Hillside, IL 60162, USA.

Funding

Metritrack Inc. n/a
6 · The paper itself

Abstract

Interoperator variability in the reproducibility of breast lesions found by handheld ultrasound (HHUS) can significantly interfere with clinical care. This study analyzed the features associated with breast mass position differences during HHUS. The ability of operators to reproduce the position of small masses and the time required to generate annotations with and without a computer-assisted scanning device (DEVICE) were also evaluated. This prospective study included 28 patients with 34 benign or probably benign small breast masses. Two operators generated manual and automated position annotations for each mass. The probe and body positions were systematically varied during scanning with the DEVICE, and the features describing mass movement were used in three logistic regression models trained to discriminate small from large breast mass displacements (cutoff: 10 mm). All models successfully discriminated small from large breast mass displacements (areas under the curve: 0.78 to 0.82). The interoperator localization precision was 6.6 ± 2.8 mm with DEVICE guidance and 19.9 ± 16.1 mm with manual annotations. Computer-assisted scanning reduced the time to annotate and reidentify a mass by 33 and 46 s on average, respectively. The results demonstrated that breast mass location reproducibility and exam efficiency improved by controlling operator actionable features with computer-assisted HHUS.

Indexed as

breast lesion mappingbreast ultrasoundnavigation toolreproducibility

Identifiers

PMID39125478
PMCPMC11311286

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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.