ArticleOptics express2015
Characterization of bone microstructure using photoacoustic spectrum analysis.
Article in Optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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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.
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Who cites it
23 citing papers in PubMed, 61 citations in OpenAlex.
- 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 · 2024Article
- Theoretical and experimental study of attenuation in cancellous bone.Journal of biomedical optics · 2024Article
- Identification of different types of tumors based on photoacoustic spectral analysis: preclinical feasibility studies on skin tumors.Journal of biomedical optics · 2023Article
- Biomedical Application of Photoacoustics: A Plethora of Opportunities.Micromachines · 2022Review
- Bone hydration: How we can evaluate it, what can it tell us, and is it an effective therapeutic target?Bone reports · 2022Article
- Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis.Photoacoustics · 2022Article
- Quick identification of prostate cancer by wavelet transform-based photoacoustic power spectrum analysis.Photoacoustics · 2022Article
- Characterization of multi-biomarkers for bone health assessment based on photoacoustic physicochemical analysis method.Photoacoustics · 2022Article
- Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment.Photoacoustics · 2021Article
- Prostate cancer identification via photoacoustic spectroscopy and machine learning.Photoacoustics · 2021Article
- The feasibility study of the transmission mode photoacoustic measurement of human calcaneus bonePhotoacoustics · 2021Article
- Optoacoustic imaging in endocrinology and metabolism.Nature reviews. Endocrinology · 2021Review
- Wavelet transform-based photoacoustic time-frequency spectral analysis for bone assessment.Photoacoustics · 2021Article
- Photoacoustic power azimuth spectrum for microvascular evaluation.Photoacoustics · 2021Article
- Role of blood oxygenation saturation in ovarian cancer diagnosis using multi-spectral photoacoustic tomography.Journal of biophotonics · 2021Article
- Technical considerations in the Verasonics research ultrasound platform for developing a photoacoustic imaging system.Biomedical optics express · 2021Article
- Towards Clinical Translation of LED-Based Photoacoustic Imaging: A Review.Sensors (Basel, Switzerland) · 2020Review
- Functional Photoacoustic and Ultrasonic Assessment of Osteoporosis: A Clinical Feasibility Study.BME frontiers · 2020Article
- Photoacoustic simulations of microvascular bleeding: spectral analysis and its application for monitoring vascular-targeted treatments.Journal of biomedical optics · 2019Article
- Classification of human ovarian cancer using functional, spectral, and imaging features obtained from in vivo photoacoustic imaging.Biomedical optics express · 2019Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
Osteoporosis is a progressive bone disease that is characterized by a decrease in bone mass and the deterioration in bone microarchitecture. This study investigates the feasibility of characterizing bone microstructure by analyzing the frequency spectrum of the photoacoustic (PA) signal from the bone. Modeling and numerical simulation of PA signal were performed on trabecular bone simulations and CT scans with different trabecular thicknesses. The resulting quasi-linear photoacoustic spectra were fittted by linear regression, from which the spectral parameter slope was quantified. The simulation based on two different models both demonstrate that bone specimens with thinner trabecular thicknesses have higher slope. Experiment on osteoporotic rat femoral heads with different mineral content was conducted. The finding from the experiment was in good agreement with the simulation, demonstrating that the frequency-domain analysis of PA signals can provide an objective assessment of bone microstructure and deterioration. Considering that PA measurement is non-ionizing, non-invasive, and has sufficient penetration in both calcified and non-calcified tissues, this new bone evaluation method based on photoacoustic spectral analysis holds potential for clinical management of osteoporosis and other bone diseases.
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Registered trials
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.