ArticleNature biomedical engineering2017
Light scattering spectroscopy identifies the malignant potential of pancreatic cysts during endoscopy.
Article in Nature biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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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
31 citing papers in PubMed, 54 citations in OpenAlex.
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- Integrating Tumor Hypoxic Sensing and Photothermal Therapy Using a Miniaturized Fiber-Optic Theranostic Probe.Small science · 2025Article
- Dual-angle light scattering spectroscopy for calibration-free measurements of scatterer suspensions.Optics letters · 2025Article
- Quadrant darkfield for label-free imaging of intracellular puncta.Journal of biomedical optics · 2024Article
- Quadrant darkfield (QDF) for label-free imaging of intracellular puncta.bioRxiv : the preprint server for biology · 2024Article
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- Next-generation endoscopic probe for detection of esophageal dysplasia using combined OCT and angle-resolved low-coherence interferometry.Biomedical optics express · 2024Article
- High-Performance PMN-PT Single-Crystal-Based 1-3 Composite Transducer Integrated with a Biopsy Needle.Biosensors · 2024Article
- Surgical polarimetric endoscopy for the detection of laryngeal cancer.Nature biomedical engineering · 2023Article
- Estimation of porcine pancreas optical properties in the 600-1100 nm wavelength range for light-based therapies.Scientific reports · 2022Article
- Rapid detection and identification of bacteria directly from whole blood with light scattering spectroscopy based biosensor.Sensors and actuators. B, Chemical · 2021Article
- Toward cardiac tissue characterization using machine learning and light-scattering spectroscopy.Journal of biomedical optics · 2021Article
- Towards Intraoperative Quantification of Atrial Fibrosis Using Light-Scattering Spectroscopy and Convolutional Neural Networks.Sensors (Basel, Switzerland) · 2021Article
- Spectroscopic label-free microscopy of changes in live cell chromatin and biochemical composition in transplantable organoids.Science advances · 2021Article
- Coherent confocal light scattering spectroscopic microscopy evaluates cancer progression and aggressiveness in live cells and tissue.ACS photonics · 2021Article
- Two-photon polymerization nanofabrication of ultracompact light scattering spectroscopic probe for detection of pre-cancer in pancreatic cyst.Optics and lasers in engineering · 2021Article
- Novel endoscopic optical diagnostic technologies in medical trial research: recent advancements and future prospects.Biomedical engineering online · 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
17 authors at 2 institutions in 1 country.
Funding
Abstract
Pancreatic cancers are usually detected at an advanced stage and have poor prognosis. About one fifth of these arise from pancreatic cystic lesions. Yet not all lesions are precancerous, and imaging tools lack adequate accuracy for distinguishing precancerous from benign cysts. Therefore, decisions on surgical resection usually rely on endoscopic ultrasound-guided fine needle aspiration (EUS-FNA). Unfortunately, cyst fluid often contains few cells, and fluid chemical analysis lacks accuracy, resulting in dire consequences, including unnecessary pancreatic surgery for benign cysts and the development of cancer. Here, we report an optical spectroscopic technique, based on a spatial gating fibre-optic probe, that predicts the malignant potential of pancreatic cystic lesions during routine diagnostic EUS-FNA procedures. In a double-blind prospective study in 25 patients, with 14 cysts measured
Identifiers
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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.