Evidence map›Paper›PMID 31286029›Full record

ArticleOptica2019

Thermal Memory Based Photoacoustic Imaging of Temperature.

Yuan Zhou, Mucong Li, Wei Liu, Georgy Sankin, Jianwen Luo, Pei Zhong, Junjie Yao

Abstract read
In one paragraph

Article in Optica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Image-Based Monitoring of Thermal Ablation.Bioengineering (Basel, Switzerland) · 2025
    Review
  7. Exploring the Frontiers of Cell Temperature Measurement and Thermogenesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  8. Article
  9. The State-of-the-Art and Perspectives of Laser Ablation for Tumor Treatment.Cyborg and bionic systems (Washington, D.C.) · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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.

Yuan ZhouDepartment of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
Mucong LiDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Wei LiuDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Georgy SankinDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
Jianwen LuoDepartment of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
Pei ZhongDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
Junjie YaoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.

Funding

Innovations in Shock Wave Lithotripsy TechnologyR37DK052985 · NIDDK · DUKE UNIVERSITY · PI ZHONG, PEI · 2010 to 2019
$5.9M
NIDDK NIH HHS R37 DK052985
6 · The paper itself

Abstract

Temperature mapping is essential in many biomedical studies and interventions to precisely control the tissue's thermal conditions for optimal treatment efficiency and minimal side effects. Based on the Grüneisen parameter's temperature dependence, photoacoustic (PA) imaging can provide relative temperature measurement, but it has been traditionally challenging to measure absolute temperatures without knowing the baseline temperature, especially in deep tissues with unknown optical and acoustic properties. Here, we report a new thermal-energy-memory-based photoacoustic thermometry (TEMPT). By illuminating the tissue with a burst of nanosecond laser pulses, TEMPT exploits the temperature dependence of the thermal energy lingering, which is probed by the corresponding PA signals acquired within the thermal confinement. A self-normalized ratiometric measurement cancels out temperature-irrelevant quantities and estimates the Grüneisen parameter. The temperature can then be evaluated, given the tissue's temperature-dependent Grüneisen parameter, mass density, and specific heat capacity. Unlike the conventional PA thermometry, TEMPT does not require the knowledge of tissue's baseline temperature, nor the optical properties. We have developed a mathematical model to describe the temperature dependence in TEMPT. We have demonstrated the feasibility of the temperature evaluation on tissue phantoms at 1.5 cm depth within a clinically relevant temperature range. Finally, as proof-of-concept, we applied TEMPT for temperature mapping during focused ultrasound treatment in mice

Identifiers

PMID31286029
PMCPMC6613656

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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.