Evidence map›Paper›PMID 40619485›Full record

ArticleAnnals of surgical oncology2025

Incident Dark-Field (IDF) Illumination Microscopy as a Novel Tool for Real-Time, Dye-Free Parathyroid Perfusion Assessment in Thyroid Surgery.

Ting-Chun Kuo, Kuen-Yuan Chen, Yu-Chang Yeh, Chieh-Wen Lai, Ming-Tsan Lin, Chin-Hao Chang, Ming-Hsun Wu

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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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7 authors.

Ting-Chun KuoDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Kuen-Yuan ChenDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Yu-Chang YehDepartment of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
Chieh-Wen LaiSchool of Medicine, Tzu Chi University, Hualien, Taiwan.
Ming-Tsan LinDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Chin-Hao ChangDepartment of Medical Research, National Taiwan University Hospital & National Taiwan University, Taipei, Taiwan.
Ming-Hsun WuDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan. dtsurgp9@gmail.com.

Funding

Hsinchu Science Park Bureau, Ministry of Science and Technology, Taiwan MOST 110-2314-B-002-047National Science and Technology Council NSTC 112-2410-H-002-180National Taiwan University Hospital 113-S0188National Taiwan University Hospital NTUH 112-S0208
6 · The paper itself

Abstract

backgroundPostsurgical hypoparathyroidism is a frequent complication in thyroid surgery. Visual inspection to assess parathyroid gland (PG) viability is subjective and inconsistent. Although indocyanine green (ICG) angiography can improve perfusion assessment, it introduces workflow disruptions and carries a risk of allergic reactions.

methodsThis pilot study investigated the feasibility of incident dark-field (IDF) microscopy as a dye-free, real-time imaging method for assessing PG perfusion during thyroidectomy. Thyroidectomy patients were prospectively enrolled at a tertiary referral hospital. Parathyroid glands were visually identified and confirmed with near-infrared autofluorescence (NIRAF). Imaging was recorded using three techniques: gross inspection (GI), IDF microscopy, and ICG angiography. Perfusion status was evaluated and classified into three categories (devascularized, compromised, and well-vascularized) and reviewed by three independent, blinded observers. Statistical analyses included interobserver reliability and inter-evaluation correlation assessments.

resultsAmong 41 NIRAF-confirmed PGs, IDF microscopy demonstrated rapid assessment, requiring 2.41 ± 1.01 min per PG evaluation compared with 5.40 ± 1.53 min for ICG angiography. For PG viability evaluation, IDF showed higher correlation with ICG than GI (weighted kappa, 0.75 vs 0.60; both P < 0.001). Surpassing GI's moderate agreement (weighted kappa, 0.44-0.47; P < 0.001), IDF microscopy exhibited moderate to substantial inter-evaluation agreement (weighted kappa 0.51-0.66; P < 0.001).

conclusionsIncident dark-field microscopy offers a rapid, reliable, and dye-free method for real-time assessment of PG perfusion, demonstrating diagnostic performance on par with ICG angiography while providing notable workflow advantages. This technique has the potential to reduce hypoparathyroidism by enhancing PG preservation in thyroid surgery. Further studies are needed to validate these findings and refine quantification methods.

Indexed as

HypoparathyroidismMicroscopyParathyroid GlandsThyroidectomyThyroid NeoplasmsAdultAgedColoring AgentsFeasibility StudiesFemaleFluorescein AngiographyFollow-Up StudiesHumansIndocyanine GreenMaleMiddle AgedColoring AgentsIndocyanine GreenIncident dark-field microscopyIndocyanine green angiographyMicrocirculation assessmentNear-infrared autofluorescenceParathyroid perfusionPerfusion assessmentPrevention of hypoparathyroidismSurgical imagingThyroidectomy

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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.