ReviewSensors (Basel, Switzerland)2021
Advanced Ultrasound and Photoacoustic Imaging in Cardiology.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 31 citations in OpenAlex.
- Deep learning meets clinical practice: A You Only Look Once-based framework for accurate and real-time detection of carotid vulnerable plaques.The Journal of international medical research · 2026Article
- Development of a Dual Photoacoustic-Ultrasound Imaging System: Current Status and Future Perspectives.Sensors (Basel, Switzerland) · 2026Review
- Performance of image-based deep learning models for aortic dissection segmentation and diagnosis: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Review
- Recent advances in photoacoustic-ultrasound dual-modality fusion imaging for functional visualization of the superficial tumor microenvironment.Oncology reviews · 2026Review
- Clinical Applications of Laryngeal Ultrasonography: A Review.Journal of voice : official journal of the Voice Foundation · 2025Review
- Generative priors-constraint accelerated iterative reconstruction for extremely sparse photoacoustic tomography boosted by mean-reverting diffusion model: Towards 8 projections.Photoacoustics · 2025Article
- Defect detection of printed circuit board assembly based on YOLOv5.Scientific reports · 2024Article
- Unsupervised disentanglement strategy for mitigating artifact in photoacoustic tomography under extremely sparse view.Photoacoustics · 2024Article
- Development of non-contact foreign body imaging base on photoacoustic signal intensity measurement.Journal of applied clinical medical physics · 2024Article
- Optical ultrasound sensors for photoacoustic imaging: a review.Journal of biomedical optics · 2024Review
- Multimodal ultrasound imaging of a rat model with ischemic heart failure and its relationship to histopathology.American journal of translational research · 2024Article
- Mitigating skin tone bias in linear arrayPhotoacoustics · 2023Article
- Sparse-view reconstruction for photoacoustic tomography combining diffusion model with model-based iteration.Photoacoustics · 2023Article
- Building a Scaffold for Arteriovenous Fistula Maturation: Unravelling the Role of the Extracellular Matrix.International journal of molecular sciences · 2023Review
- Pulse wave imaging of a stenotic artery model with plaque constituents of different stiffnesses: Experimental demonstration in phantoms and fluid-structure interaction simulation.Journal of biomechanics · 2023Article
- Fast iterative reconstruction for photoacoustic tomography using learned physical model: Theoretical validation.Photoacoustics · 2023Article
- Research on Mask-Wearing Detection Algorithm Based on Improved YOLOv5.Sensors (Basel, Switzerland) · 2022Article
- Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing.Sensors (Basel, Switzerland) · 2022Article
- Clinical photoacoustic/ultrasound dual-modal imaging: Current status and future trends.Frontiers in physiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. An effective management and treatment of CVDs highly relies on accurate diagnosis of the disease. As the most common imaging technique for clinical diagnosis of the CVDs, US imaging has been intensively explored. Especially with the introduction of deep learning (DL) techniques, US imaging has advanced tremendously in recent years. Photoacoustic imaging (PAI) is one of the most promising new imaging methods in addition to the existing clinical imaging methods. It can characterize different tissue compositions based on optical absorption contrast and thus can assess the functionality of the tissue. This paper reviews some major technological developments in both US (combined with deep learning techniques) and PA imaging in the application of diagnosis of CVDs.
Indexed as
Identifiers
What OpenQuestion holds
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.