Evidence map›Paper›PMID 33777692›Full record

ArticlePhotoacoustics2021

Wavelet transform-based photoacoustic time-frequency spectral analysis for bone assessment.

Weiya Xie, Ting Feng, Mengjiao Zhang, Jiayan Li, Dean Ta, Liming Cheng, Qian Cheng

Open access · goldAbstract read
In one paragraph

Article in Photoacoustics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

14 citing papers in PubMed, 35 citations in OpenAlex.

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  6. Development of a semi-anthropomorphic photoacoustic calcaneus phantom based on nano computed tomography and stereolithography 3D printing.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024
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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

7 authors at 2 institutions in 1 country.

Weiya XieInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, PR China.
Ting FengInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, PR China.
Mengjiao ZhangInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, PR China.
Jiayan LiInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, PR China.
Dean TaDepartment of Electronic Engineering, Fudan University, Shanghai, PR China.
Liming ChengThe Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education, Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai, PR China.
Qian ChengInstitute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, PR China.
Tongji University · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the feasibility of using photoacoustic time-frequency spectral analysis (PA-TFSA) for evaluating the bone mineral density (BMD) and bone structure. Simulations and

Indexed as

ARTB, area ratio of trabecular boneBMD, bone mineral densityBone assessmentCWT, continuous wavelet transformDEXA, dual energy X-ray absorptiometryEDTA, ethylenediaminetetraacetic acidMTT, mean trabecular thicknessPA, photoacousticPA-TFSA, photoacoustic time-frequency spectral analysisPA-TFS, photoacoustic time-frequency spectrumPhotoacoustic measurementPWMF, power-weighted mean frequencyQUS, quantitative ultrasoundROI, region of interestTime-frequency spectral analysisUS, ultrasoundWavelet transform

Identifiers

PMID33777692
PMCPMC7985564
OpenAlexW3138719890

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.