ReviewJournal of clinical medicine2022
Ultrasound and Photoacoustic Imaging of Breast Cancer: Clinical Systems, Challenges, and Future Outlook.
Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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.
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.
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Who cites it
34 citing papers in PubMed, 61 citations in OpenAlex.
- No cancer left behind: a testbed and demonstration of concept for photoacoustic tumor bed inspection.Computer assisted surgery (Abingdon, England) · 2026Article
- Preoperative prediction of Ki-67 expression and prognosis in breast cancer based on contrast-enhanced cone-beam breast CT: a two-centre study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Establishment of prediction model for breast lesion using automated breast ultrasound system.Quantitative imaging in medicine and surgery · 2026Article
- Rotational ultrasound and photoacoustic tomography of the human body.Nature biomedical engineering · 2026Article
- Enhanced differentiation of breast lesions through integration of microvascular flow imaging and machine learning algorithms.Frontiers in oncology · 2026Article
- Unravelling theTheranostics · 2026Article
- A multimodal approach to assess a liposomal carrier's biodistribution, stability, and clearance.Photoacoustics · 2025Article
- OneTouch Automated Photoacoustic and Ultrasound Imaging of Breast in Standing Pose.IEEE transactions on medical imaging · 2025Article
- Artifacts in photoacoustic imaging: Origins and mitigations.Photoacoustics · 2025Article
- Deep learning and radiomics integration of photoacoustic/ultrasound imaging for non-invasive prediction of luminal and non-luminal breast cancer subtypes.Breast cancer research : BCR · 2025Article
- Review of GPU-based Monte Carlo simulation platforms for transmission and emission tomography in medicine.Physics in medicine and biology · 2025Review
- Exploring the Evolution of Breast Cancer Imaging: A Review of Conventional and Emerging Modalities.Cureus · 2025Review
- Dual-Modal Fast Photoacoustic/Ultrasound Localization Imaging with Sparsity-Constrained Optimization.Bio-protocol · 2025Article
- Three-dimensional diffractive acoustic tomography.Nature communications · 2025Article
- Machine learning radiomics based on intra and peri tumor PA/US images distinguish between luminal and non-luminal tumors in breast cancers.Photoacoustics · 2024Article
- Multiple diffusion models-enhanced extremely limited-view reconstruction strategy for photoacoustic tomography boosted by multi-scale priors.Photoacoustics · 2024Article
- Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024Article
- Assessing Breast Cancer through Tumor Microenvironment Mapping of Collagen and Other Biomolecule Spectral Fingerprints─A Review.ACS sensors · 2024Review
- Downregulation of CIAPIN1 regulates the proliferation, migration and glycolysis of breast cancer cells via inhibition of STAT3 pathway.Scientific reports · 2024Article
- Deep learning combined with attention mechanisms to assist radiologists in enhancing breast cancer diagnosis: a study on photoacoustic imaging.Biomedical optics express · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Presently, breast cancer diagnostic methods are dominated by mammography. Although drawbacks of mammography are present including ionizing radiation and patient discomfort, not many alternatives are available. Ultrasound (US) is another method used in the diagnosis of breast cancer, commonly performed on women with dense breasts or in differentiating cysts from solid tumors. Handheld ultrasound (HHUS) and automated breast ultrasound (ABUS) are presently used to generate reflection images which do not contain quantitative information about the tissue. This limitation leads to a subjective interpretation from the sonographer. To rectify the subjective nature of ultrasound, ultrasound tomography (UST) systems have been developed to acquire both reflection and transmission UST (TUST) images. This allows for quantitative assessment of tissue sound speed (SS) and acoustic attenuation which can be used to evaluate the stiffness of the lesions. Another imaging modality being used to detect breast cancer is photoacoustic tomography (PAT). Utilizing much of the same hardware as ultrasound tomography, PAT receives acoustic waves generated from tissue chromophores that are optically excited by a high energy pulsed laser. This allows the user to ideally produce chromophore concentration maps or extract other tissue parameters through spectroscopic PAT. Here, several systems in the area of TUST and PAT are discussed along with their advantages and disadvantages in breast cancer diagnosis. This overview of available systems can provide a landscape of possible intersections and future refinements in cancer diagnosis.
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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.