Evidence map›Paper›PMID 36388111›Full record

ReviewFrontiers in physiology2022

Clinical photoacoustic/ultrasound dual-modal imaging: Current status and future trends.

Yanting Wen, Dan Guo, Jing Zhang, Xiaotian Liu, Ting Liu, Lu Li, Shixie Jiang, Dan Wu, Huabei Jiang

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023
    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

9 authors.

Yanting WenDepartment of Ultrasound Imaging, The Fifth People's Hospital of Chengdu, Chengdu, China.
Dan GuoDepartment of Ultrasound Imaging, The Fifth People's Hospital of Chengdu, Chengdu, China.
Jing ZhangDepartment of Ultrasound Imaging, The Fifth People's Hospital of Chengdu, Chengdu, China.
Xiaotian LiuDepartment of Ultrasound Imaging, The Fifth People's Hospital of Chengdu, Chengdu, China.
Ting LiuDepartment of Ultrasound Imaging, The Fifth People's Hospital of Chengdu, Chengdu, China.
Lu LiDepartment of Ultrasound Imaging, The Fifth People's Hospital of Chengdu, Chengdu, China.
Shixie JiangDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Dan WuSchool of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China.
Huabei JiangDepartment of Medical Engineering, University of South Florida, Tampa, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic tomography (PAT) is an emerging biomedical imaging modality that combines optical and ultrasonic imaging, providing overlapping fields of view. This hybrid approach allows for a natural integration of PAT and ultrasound (US) imaging in a single platform. Due to the similarities in signal acquisition and processing, the combination of PAT and US imaging creates a new hybrid imaging for novel clinical applications. Over the recent years, particular attention is paid to the development of PAT/US dual-modal systems highlighting mutual benefits in clinical cases, with an aim of substantially improving the specificity and sensitivity for diagnosis of diseases. The demonstrated feasibility and accuracy in these efforts open an avenue of translating PAT/US imaging to practical clinical applications. In this review, the current PAT/US dual-modal imaging systems are discussed in detail, and their promising clinical applications are presented and compared systematically. Finally, this review describes the potential impacts of these combined systems in the coming future.

Indexed as

clinicalimagingmultimodalphotoacousticsreviewultrasound

Identifiers

PMID36388111
PMCPMC9651137

What OpenQuestion holds

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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.