Evidence map›Paper›PMID 39549669›Full record

ArticleUltrasonics sonochemistry2024

AI-powered ultrasonic thermometry for HIFU therapy in deep organ.

Shunyao Luan, Yongshuo Ji, Yumei Liu, Linling Zhu, Hong Zhao, Haoyu Zhou, Ke Li, Weizhen Zhu, Benpeng Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasonics sonochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Shunyao LuanSchool of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
Yongshuo JiHIFU Center of Oncology Department, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Yumei LiuHIFU Center of Oncology Department, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Linling ZhuHIFU Center of Oncology Department, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Hong ZhaoHIFU Center of Oncology Department, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Haoyu ZhouSchool of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
Ke LiZhonghui Medical Technology Co., Ltd., Shanghai, China.
Weizhen ZhuZhonghui Medical Technology Co., Ltd., Shanghai, China.
Benpeng ZhuSchool of Integrated Circuits, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China. Electronic address: benpengzhu@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-intensity focused ultrasound (HIFU) is considered as an important non-invasive way for tumor ablation in deep organs. However, accurate real-time monitoring of the temperature field within HIFU focal area remains a challenge. Although ultrasound technology, compared with other approaches, is a good choice for noninvasive and real-time monitoring on the temperature distribution, traditional ultrasonic thermometry mainly relies on the backscattered signal, which is difficult for high temperature (>50 °C) measurement. Given that artificial intelligence (AI) shows significant potential for biomedical applications, we propose an AI-powered ultrasonic thermometry using an end-to-end deep neural network termed Breath-guided Multimodal Teacher-Student (BMTS), which possesses the capability to elucidate the interaction between HIFU and complex heterogeneous biological media. It has been demonstrated experimentally that two-dimension temperature distribution within HIFU focal area in deep organ can be accurately reconstructed with an average error and a frame speed of 0.8 °C and 0.37 s, respectively. Most importantly, the maximum measurable temperature for ultrasonic technology has been successfully expanded to a record value of 67 °C. This breakthrough indicates that the development of AI-powered ultrasonic thermometry is beneficial for precise HIFU therapy planning in the future.

Indexed as

High-Intensity Focused Ultrasound AblationThermometryAnimalsArtificial IntelligenceNeural Networks, ComputerTemperatureDeep learningHigh Intensity focused ultrasoundNoninvasive acoustic energy distribution monitoringRespiratory compensationUltrasonic cavitation

Identifiers

PMID39549669
PMCPMC11615183

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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.