Evidence map›Paper›PMID 41112357›Full record

ArticleAnnals of surgical treatment and research2025

Patient-reported outcomes of automated breast ultrasound: considerations for screening modality selection, based on a prospective observational survey.

Joo Heung Kim, So Hyeon Gwon, Nak-Hoon Son, Si Eun Lee, Myung Hyun Kim, Jun Sang Lee, Joon Jeong, Eun-Kyung Kim

Abstract read
In one paragraph

Article in Annals of surgical treatment and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

8 authors.

Joo Heung KimDepartment of Surgery, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0000-0002-0417-8434
So Hyeon GwonDepartment of Statistics, Keimyung University, Daegu, Korea.ORCID https://orcid.org/0009-0000-6591-8291
Nak-Hoon SonDepartment of Statistics, Keimyung University, Daegu, Korea.ORCID https://orcid.org/0000-0002-6192-8852
Si Eun LeeDepartment of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0000-0002-3225-5484
Myung Hyun KimDepartment of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0000-0002-5139-0155
Jun Sang LeeDepartment of Surgery, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0000-0002-4054-6900
Joon JeongDepartment of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0397-0005
Eun-Kyung KimDepartment of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0000-0002-3368-5013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate patient-reported experiences with automated breast ultrasound (ABUS) and identify patient characteristics associated with discomfort, to inform screening modality selection and improve resource use. Methods: A survey was prospectively conducted on 140 patients who underwent ABUS for breast cancer screening. The survey assessed patient satisfaction, discomfort, and pain before and after the procedure. Factors such as age, breast density, and body mass index (BMI) were analyzed to determine their impact on patient experiences. Results: The majority of patients expressed satisfaction with ABUS. However, younger patients, those with small or dense breasts, and those with a low BMI reported lower satisfaction and higher pain scores. Conclusion: Based on patient-reported outcomes, ABUS could complement handheld ultrasound in breast screening. Selecting modalities by age, BMI, breast size, and density may enhance satisfaction and resource use. Personalized strategies may improve screening experience and efficiency.

Indexed as

Automated breast ultrasoundBreast densityBreast neoplasms/diagnosisMass screeningPatient reported outcome measures

Identifiers

PMID41112357
PMCPMC12531641

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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.