ArticleJournal of biophotonics2022
A coaxial excitation, dual-red-green-blue/near-infrared paired imaging system toward computer-aided detection of parathyroid glands in situ and ex vivo.
Article in Journal of biophotonics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06939946 (Early Feasibility Study on Intraoperative Parathyroid Gland), which is not on this map. Cited by 6 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.
Early Feasibility Study on Intraoperative Parathyroid Gland (PTG) Identification Using a Hand-Held Imager (HHI)
Who cites it
6 citing papers in PubMed.
- Review
- Intraoperative applications of artificial intelligence for augmented parathyroid gland recognition: a narrative review.Gland surgery · 2025Review
- Parathyroid glands viability assessment and identification during surgery with multimodal diffuse reflectance spectroscopy and NIR autofluorescence probe.Scientific reports · 2025Article
- Converting a probe-based fluorescence system into an easy-to-use adjunct for the detection of parathyroid glands accidentally resected intraoperatively.Langenbeck's archives of surgery · 2023Article
- TOETVA parathyroid autofluorescence detection: hANDY-i endoscopy attachment.Frontiers in endocrinology · 2023Article
- Parathyroid gland detection using an intraoperative autofluorescence handheld imager - early feasibility study.Frontiers in endocrinology · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Early and precise detection of parathyroid glands (PGs) is a challenging problem in thyroidectomy due to their small size and similar appearance to surrounding tissues. Near-infrared autofluorescence (NIRAF) has stimulated interest as a method to localize PGs. However, high incidence of false positives for PGs has been reported with this technique. We introduce a prototype equipped with a coaxial excitation light (785 nm) and a dual-sensor to address the issue of false positives with the NIRAF technique. We test the clinical feasibility of our prototype in situ and ex vivo using sterile drapes on 10 human subjects. Video data (1287 images) of detected PGs were collected to train, validate and compare the performance for PG detection. We achieved a mean average precision of 94.7% and a 19.5-millisecond processing time/detection. This feasibility study supports the effectiveness of the optical design and may open new doors for a deep learning-based PG detection method.
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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.