ArticleScientific reports2019
Optical Resolution Photoacoustic Microscopy of Ovary and Fallopian Tube.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 27 citations in OpenAlex.
- Characterization of vascular patterns in endometrial cancer via optical resolution photoacoustic microscopy.Journal of biomedical optics · 2026Article
- Vascular graph network for ovarian lesion classification using optical-resolution photoacoustic microscopy.Photoacoustics · 2026Article
- Low-cost microvascular phantom for photoacoustic imaging using loofah.Journal of biomedical optics · 2025Article
- Multimodal Optical Imaging of Ex Vivo Fallopian Tubes to Distinguish Early and Occult Tubo-Ovarian Cancers.Cancers · 2024Article
- Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Review
- TowardsFundamental research · 2024Review
- Correction of high-rate motion for photoacoustic microscopy by orthogonal cross-correlation.Scientific reports · 2024Article
- High speed innovations in photoacoustic microscopy.Npj imaging · 2024Review
- Iterative prototyping based on lessons learned from the falloposcopeJournal of biomedical optics · 2023Article
- Enhanced 3D visualization of human fallopian tube morphology using a miniature optical coherence tomography catheter.Biomedical optics express · 2023Article
- Quantification of ovarian lesion and fallopian tube vasculature using optical-resolution photoacoustic microscopy.Scientific reports · 2022Article
- Quantitative multilayered assessment of skin lightening by photoacoustic microscopy.Quantitative imaging in medicine and surgery · 2022Article
- Optoacoustic imaging in endocrinology and metabolism.Nature reviews. Endocrinology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
Ovarian cancer is the leading cause of death among gynecological cancers, but is poorly amenable to preoperative diagnosis. In this study, we investigate the feasibility of "optical biopsy," using high-optical-resolution photoacoustic microscopy (OR-PAM) to quantify the microvasculature of ovarian and fallopian tube tissue. The technique is demonstrated using excised human ovary and fallopian tube specimens imaged immediately after surgery. Quantitative parameters are derived using Amira software. The parameters include three-dimensional vascular segment count, total volume and length, which are associated with tumor angiogenesis. Qualitative results of OR-PAM demonstrate that malignant ovarian tissue has larger and more tortuous blood vessels as well as smaller vessels of different sizes, while benign and normal ovarian tissue has smaller vessels of uniform size. Quantitative analysis shows that malignant ovaries have greater tumor vessel volume, length and number of segments, as compared with benign and normal ovaries. The vascular pattern of benign fallopian tube is different than that of benign ovarian tissue. Our initial results demonstrate the potential of OR-PAM as an imaging tool for fast assessment of ovarian tissue and fallopian tube and could avoid unnecessary surgery if the risk of the examined ovary is extremely low.
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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 Socratic graph.