Evidence map›Paper›PMID 40113605›Full record

ReviewLasers in medical science2025

The research progress of label-free optical imaging technology in intraoperative real-time navigation of parathyroid glands.

Chang Cai, Xiao Xiao, Qiye Wen, Zifeng Luo, Song Wang

Abstract readReview
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In one paragraph

Review in Lasers in medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chang CaiThe Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiao XiaoThe Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qiye WenThe Fifth Clinical College of Guangzhou Medical University, Guangzhou, China.
Zifeng LuoHunan Institute of Technology, Hengyang, China.
Song WangThe Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. gzwangmomo1983@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraoperative misidentification or vascular injury to the parathyroid glands can lead to hypoparathyroidism and hypocalcemia, resulting in serious postoperative complications. Therefore, functional localization of the parathyroid glands during thyroid (parathyroid) surgery is a key focus and challenge in thyroid surgery. The current clinical prospects of various optical imaging technologies for intraoperative localization, identification, and protection of parathyroid glands varies. However, "Label-free optical imaging technology" is increasingly favored by surgeons due to its simplicity, efficiency, safety, real-time capability, and non-invasiveness. This manuscript focuses on the relatively well-researched near-infrared autofluorescence (NIRAF) and NIRAF-combined studies including those integrating laser speckle imaging, artificial intelligence(AI) optimization, hardware integration, and optical path improvements. It also briefly introduces promising technologies, including Laser-Induced Fluorescence (LIF), Hyperspectral Imaging (HSI), Fluorescence Lifetime Imaging (FLIm), Laser-Induced Breakdown Spectroscopy (LIBS), Optical Coherence Tomography (OCT), and Dynamic Optical Contrast Imaging (DOCI). While these technologies are still in early stages with limited clinical application and standardization, current research highlights their potential for improving intraoperative parathyroid identification. Future studies should focus on refining these methods for broader clinical use.

Indexed as

Optical ImagingParathyroid GlandsSurgery, Computer-AssistedHumansThyroidectomyTomography, Optical CoherenceArtificial intelligenceLabel-free optical imagingLaser speckleNear-infrared autofluorescenceParathyroid gland

Identifiers

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Registered trials

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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.