The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
Photoacoustic clinical imaging
Open accessAbstract
Photoacoustic is an emerging biomedical imaging modality, which allows imaging optical absorbers in the tissue by acoustic detectors (light in - sound out). Such a technique has an immense potential for clinical translation since it allows high resolution, sufficient imaging depth, with diverse endogenous and exogenous contrast, and is free from ionizing radiation. In recent years, tremendous developments in both the instrumentation and imaging agents have been achieved. These opened avenues for clinical imaging of various sites allowed applications such as brain functional imaging, breast cancer screening, diagnosis of psoriasis and skin lesions, biopsy and surgery guidance, the guidance of tumor therapies at the reproductive and urological systems, as well as imaging tumor metastases at the sentinel lymph nodes. Here we survey the various clinical and pre-clinical literature and discuss the potential applications and hurdles that still need to be overcome.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Angiogenesis in cancer and other diseases
Carmeliet, P., & Jain, R. K. (2000) · Nature · doi:10.1038/35025220 · Cited by 9,070
Technical Details of Intraoperative Lymphatic Mapping for Early Stage Melanoma
Morton, D. L. (1992) · Archives of Surgery · doi:10.1001/archsurg.1992.01420040034005 · Cited by 4,371
Photoacoustic tomography: In vivo imaging from organelles to organs
Wang, L. V., & Hu, S. (2012) · Science · doi:10.1126/science.1216210 · Cited by 4,331
Screening and Prostate-Cancer Mortality in a Randomized European Study
Schröder, F. H., Hugosson, J., Roobol, M. J., Tammela, T. L. J., Ciatto, S., Nelen, V., Kwiatkowski, M., Lujan, M., Lilja, H., Zappa, M., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810084 · Cited by 4,014
Optical properties of biological tissues: A review
Jacques, S. L. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/11/r37 · Cited by 4,008 · cited 1×
“The core strengths of PAI are its potential for high spatial/temporal resolution, clinically relevant imaging depth [11], ability to image both endogenous [12] and exogenous [13] chromophores, and the absence of ionizing radiation.”
BackgroundPhotoacoustic imaging in biomedicine
Xu, M., & Wang, L. V. (2006) · Review of Scientific Instruments · doi:10.1063/1.2195024 · Cited by 2,700
k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields
Treeby, B. E., & Cox, B. T. (2010) · Journal of Biomedical Optics · doi:10.1117/1.3360308 · Cited by 2,337
Biomedical photoacoustic imaging
Beard, P. (2011) · Interface Focus · doi:10.1098/rsfs.2011.0028 · Cited by 2,205
Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging
Zhang, H. F., Maslov, K., Stoica, G., & Wang, L. V. (2006) · Nature Biotechnology · doi:10.1038/nbt1220 · Cited by 1,854
Wang, X., Pang, Y., Ku, G., Xie, X., Stoica, G., & Wang, L. V. (2003) · Nature Biotechnology · doi:10.1038/nbt839 · Cited by 1,700
Cited by
Crosby, D., Bhatia, S., Brindle, K. M., Coussens, L. M., Dive, C., Emberton, M., Esener, S., Fitzgerald, R. C., Gambhir, S. S., Kuhn, P., et al. (2022) · Science · doi:10.1126/science.aay9040 · Cited by 1,379
Self-citationThe emerging role of photoacoustic imaging in clinical oncology
Lin, L., & Wang, L. V. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00615-3 · Cited by 469
Setchfield, K., Gorman, A., Simpson, A. H. R. W., Somekh, M. G., & Wright, A. J. (2024) · Journal of Biomedical Optics · doi:10.1117/1.jbo.29.1.010901 · Cited by 72
Wang, J., Zhao, Z., Liu, Y., Cao, X., Li, F., Ran, H., Cao, Y., & Wu, C. (2022) · Drug Delivery · doi:10.1080/10717544.2022.2126027 · Cited by 34
Qiu, T., Yang, J., Peng, C., Xiang, H., Huang, L., Ling, W., & Luo, Y. (2023) · Photoacoustics · doi:10.1016/j.pacs.2023.100562 · Cited by 15
Metadata
- Authors
- Steinberg, I., Huland, D. M., Vermesh, O., Frostig, H. E., Tummers, W. S., & Gambhir, S. S.
- Venue
- Photoacoustics
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 14
- Pages
- 77-98
- ISSN
- 2213-5979 (ISSN-L)
- OpenAlex
- W2949412380
- Cited by
- 553
- References
- 114
- FWCI
- 23.80
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Photoacoustic clinical imaging. https://app.cochat.ai/papers/10.1016/j.pacs.2019.05.001
- The paper
- Steinberg, I., Huland, D. M., Vermesh, O., Frostig, H. E., Tummers, W. S., & Gambhir, S. S. (2019). Photoacoustic clinical imaging. Photoacoustics. https://doi.org/10.1016/j.pacs.2019.05.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.