Evidence map›Paper›PMID 42194294›Full record

ArticleBioengineering (Basel, Switzerland)2026

Nakagami Statistics-Based Parametric Thermoacoustic Imaging for Assessment of Liver Microwave Ablation.

Ling Song, Lian Feng, Jieni Song, Wanting Yang, Zhenru Wu, Wenwu Ling, Lin Huang, Yan Luo

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. 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

8 authors.

Ling SongDepartment of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0003-1597-4601
Lian FengDepartment of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0002-1995-6366
Jieni SongDepartment of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Wanting YangDepartment of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Zhenru WuKey Laboratory of Transplant Engineering and Immunology, Institute of Clinical Pathology, National Health Commission, West China Hospital, Sichuan University, Chengdu 610041, China.
Wenwu LingDepartment of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0002-6449-3831
Lin HuangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0003-3616-7315
Yan LuoDepartment of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0003-2985-1768

Funding

National Natural Science Foundation of China 82071940National Natural Science Foundation of China 82371977Science and Technology Department of Sichuan Province 2024YFFK0228Sichuan Provincial Health Commission Innovation Team Project 24CXTD16
6 · The paper itself

Abstract

Thermal ablation is an effective treatment for primary liver cancer, but intraoperative assessment of ablation efficacy remains a clinical challenge. Microwave-induced thermoacoustic imaging (TAI) offers high tissue contrast based on dielectric properties, whereas conventional delay-and-sum reconstruction often yields limited contrast between ablated and normal tissue. To improve the contrast, we present a post-processing parametric imaging method that applies Nakagami statistics to thermoacoustic signal envelopes. The Nakagami shape parameter m is sensitive to thermal-ablation-induced alterations in tissue microstructural features. This work represents a new attempt to extract parametric images from thermoacoustic signal envelopes for intraoperative ablation assessment. In vitro and in vivo experiments were conducted to evaluate this Nakagami-based approach. Compared with conventional TAI, Nakagami images exhibited markedly improved contrast between the ablation zone and normal tissue. Quantitative analysis using pathological images as the gold standard demonstrated higher accuracy for Nakagami-based TAI across all measurements: 91.08% vs. 85.22% (in vitro diameter), 86.76% vs. 74.50% (in vitro area), 85.44% vs. 76.52% (in vivo diameter), and 79.22% vs. 72.72% (in vivo area). These findings suggest that Nakagami statistics-based TAI improves ablation zone characterization by capturing tissue microstructural information, showing potential as a tool for intraoperative assessment of liver ablation efficacy.

Indexed as

biomedical signal processingintraoperative assessmentliver ablationNakagami statisticsparametric imagingthermoacoustic imaging

Identifiers

PMID42194294
PMCPMC13203642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.