Evidence map›Paper›PMID 41760971›Full record

ArticleJournal of imaging informatics in medicine2026

Optimal Lossy Compression Scheme of 3D Volumetric Ultrasound Images For Remote Breast Cancer Screening.

Zengan Huang, Jun Huang, Xiao Li, Lei Wang, Haiyue Yu, Yunan Zhang, Hongping Song, Yi Gao

Abstract read
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In one paragraph

Article in Journal of imaging informatics in medicine, 2026. 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
–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

8 authors.

Zengan Huang *School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
Jun Huang *School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
Xiao LiWuxi Pathovision Medical Technology Co., Ltd, Wuxi, China.
Lei WangWuxi Pathovision Medical Technology Co., Ltd, Wuxi, China.
Haiyue YuWuxi Pathovision Medical Technology Co., Ltd, Wuxi, China.
Yunan ZhangWuxi Pathovision Medical Technology Co., Ltd, Wuxi, China.
Hongping SongDepartment of Ultrasound, Xijing Hospital, Fourth Military Medical University, No. 127 Changle West Road, Xi'an, 710032, China.
Yi GaoSchool of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China. gaoyi@szu.edu.cn.ORCID http://orcid.org/0000-0003-0094-8136

Funding

Guangdong Provincial Key Laboratory of Mathematical and Neural Dynamical Systems 2024B1212010004Key-Area Research and Development Program of Guangdong Province grant 2021B0101420005Shenzhen Natural Science Fund (the Stable Support Plan Program) 20220810144949003the Key Technology Development Program of Shenzhen grant JSGG20210713091811036
6 · The paper itself

Abstract

While lossy compression is gaining acceptance in medical imaging research, its practical use remains limited due to the lack of specific implementation guidelines. This study investigates the feasibility and diagnostic reliability of various lossy compression methods for 3D whole-breast ultrasound (WBUS) images, aiming to support remote breast cancer screening in resource-constrained settings. We retrospectively collected WBUS images from 400 patients with breast masses. Images were compressed using JPEG 2000 (JP2K), JPEG 3D (JP3D), and High-Efficiency Video Coding (HEVC) at compression ratios ranging from 5:1 to 50:1. Image quality was assessed using PSNR and SSIM. Four radiologists independently reviewed compressed images to identify two thresholds: (1) visually lossless quality and (2) the highest diagnostically acceptable compression ratio (DAS). Diagnostic accuracy was evaluated using the area under the ROC curve (AUC). HEVC outperformed JP2K and JP3D in both objective quality metrics and diagnostic accuracy. At 5:1 compression, radiologists could not distinguish compressed images from originals, and diagnostic performance was unaffected (AUC > 0.85 for all readers). Even at an average 20:1 compression ratio, no significant degradation in diagnostic accuracy was observed. Inter-reader agreement remained high across compression levels. Lossy HEVC compression provides a practical approach for remote breast cancer screening. In this study, WBUS images compressed at 5:1 were visually indistinguishable from the originals, and compression up to 20:1 maintained diagnostic performance within our dataset, supporting its potential use in tele-ultrasound workflows. Further studies are warranted to confirm these findings across different devices and clinical settings.

Indexed as

3D whole breast ultrasoundBreast cancerLossy compressionUltrasound

Identifiers

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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.