Evidence map›Paper›PMID 39780471›Full record

ArticleCytopathology : official journal of the British Society for Clinical Cytology2025

Study on the Transformation Process of Thyroid Fine-Needle Aspiration Liquid-Based Cytology to Whole-Slide Image.

Yuanyuan Lei, Dongcun Wang, Yanlin Wen, Jinhui Liu, Jian Cao

Abstract read
In one paragraph

Article in Cytopathology : official journal of the British Society for Clinical Cytology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuanyuan LeiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.ORCID 0000-0002-9805-591X
Dongcun WangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Yanlin WenNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Jinhui LiuNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Jian CaoNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.

Funding

National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen + E010321010Sanming Project of Medicine in Shenzhen No.SZSM202411001Shenzhen High-level Hospital Construction Fund
6 · The paper itself

Abstract

objectiveAnalyse and summarise the reasons for failure in the digital acquisition of thyroid liquid-based cytology (LBC) slides and the technical challenges, and explore methods to obtain reliable and reproducible whole digital slide images for clinical thyroid cytology.

methodUse the glass slide scanning imaging system to acquire whole-slide image (WSI) of thyroid LBC in sdpc format through different. Statistical analysis was conducted on the different acquisition methods, the quality of the glass slides, clinical and pathological characteristics of the case, TBSRTC grading and the quality of WSI.

resultsThe WSI obtained by different scanning methods showed a high level of consistency in quality (W = 0.325, p < 0.001), especially between fully automatic scanning with different focus densities (W = 0.9, p < 0.001). A total of 2114 images were obtained through different methods of multi-layer fusion and multi-point focusing scanning, with scan success rates of 100.0%, 100.0%, 100.0% and 23.6%, respectively. The correlation between the quality of thyroid LBC glass slides and the image quality of thyroid LBC WSI was statistically significant (p < 0.001). The correlation between TBSRTC grading and the quality of thyroid LBC digital WSI was statistically significant (p < 0.001).

conclusionsAlthough the quality of glass slides has a significant impact, the success rate and image quality of malignant tumour scanning are both high. Overall, the risk of missed diagnosis of malignant tumours is low. In the future, we also need to improve the performance and algorithm of the scanner in cases of sparse cells.

Indexed as

CytodiagnosisImage Processing, Computer-AssistedThyroid GlandThyroid NeoplasmsBiopsy, Fine-NeedleFemaleHumansMaleMiddle AgedThyroid Noduleliquid‐based cytologyscannerthe Bethesda system for reporting thyroid cytologythyroidwhole‐slide image

Identifiers

PMID39780471
PMCPMC11810536

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LicenceCC BY-NC-ND
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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.