Evidence map›Paper›PMID 38911132›Full record

ArticlePhotoacoustics2024

RPCA-based thermoacoustic imaging for microwave ablation monitoring.

Fuyong Wang, Zeqi Yang, Wanting Peng, Ling Song, Yan Luo, Zhiqin Zhao, Lin Huang

Abstract read
In one paragraph

Article in Photoacoustics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Fuyong WangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Zeqi YangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Wanting PengSchool of Information Engineering, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China.
Ling SongDepartment of Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Yan LuoDepartment of Ultrasound, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Zhiqin ZhaoSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.
Lin HuangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microwave ablation (MWA) is a potent cancer treatment tool, but its effectiveness can be hindered by the lack of visual feedback. This paper validates the feasibility of using microwave-induced thermoacoustic imaging (TAI) technique to monitor the MWA process. A feasibility analysis was conducted at the principle level and a high-performance real-time TAI system was introduced. To address the interference caused by MWA, a robust principal component analysis (RPCA)-based method for TAI was proposed. This method leverages the correlation between multiple signal frames to eliminate interference. RPCA's effectiveness in TAI was demonstrated through three sets of different experiments. Experiments demonstrated that TAI can effectively monitors the MWA process. This work represents the first application of RPCA-related matrix decomposition methods in TAI, paving the way for the application of TAI in more complex clinical scenarios. By providing rapid and accurate visual feedback, this research advances MWA technology.

Indexed as

Anti-interferenceMicrowave ablation (MWA)Microwave-induced thermoacoustic imaging (TAI)Real-time monitoringRobust principal component analysis (RPCA)

Identifiers

PMID38911132
PMCPMC11192794

What OpenQuestion holds

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LicenceCC BY-NC
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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.