Project title
利用液基細胞學製備甲狀腺細針抽吸抹片並應用電腦程式進行細胞學分析
Internal ID
MOST107-2635-B002-002
Principal Investigator
Start Date
August 1, 2018
End Date
July 31, 2019
Investigators
Organizations
Partner Organizations
Project Web Site
Application of Computerized Cytological Analysis for Thyroid Fine Needle Aspiration Specimen Using Liquid-Based Cytology Preparation = 利用液基細胞學製備甲狀腺細針抽吸抹片並應用電腦程式進行細胞學分析
Keywords
甲狀腺抽吸細胞學
液基細胞學
傳統抹片細胞學
電腦輔助診斷
Thyroid fine needle aspiration cytology
liquid-based cytology
conventioal smear cytology
computer-aided diagnosis
Description
Goiter is the most common thyroid disease. Fine needle aspiration (FNA) of the thyroid is a well-established diagnostic test for the evaluation of thyroid nodules. Traditionally, conventional smears (CSs) are prepared for staining after FNA. However, they are suffered from the problems, namely, heavy bloody smears, poor fixation smears resulted from air-drying artefact, and obscuring mucus and inflammatory cells. Liquid-based cytology (LBC) has been introduced since 25 years ago. First it was for the processing gynecological specimens and then was applied in non-gynecological specimens such as thyroid FNA materials. Liquid-based preparation (LBP), as opposed to CS, FNA specimen is submerged in a single vial of methanol-based preservative solution and then thin layer smears are prepared for the following Pap. stain in the laboratory. Because of better preservation, the cells display better morphological features on the smears for interpretation. They are also evenly distributed in the clean background without interference of debris, mucus or blood. Both cytotechnologists and cytopathologists can easily screen or check the smears. Computerized cytologic analysis is a computer-aided image analysis technique that enables quantitative estimation of selected parameters in the cells on digital images of the cytologic smear. In recent years, we have developed the application of computerized cytological analysis to predict the papillary thyroid carcinoma (PTC) patients who can survive for more than 20 years or not since cytodiagnosis. The visualization and quantification of cytologic morphology and chromatic features have the potential of being developed as a computer analysis tool for predicting the long-term survival of PTC. In this prospective study, we intend to collect 1,200 patients’ thyroid FNA specimens to compare diagnostic accuracy of LBC and CSC. In order to evaluate computer-aided diagnosis using papanicolaou-stained smear. We intend to develop a computer-aided diagnosis software and compare diagnostic performance between LBC and CSC using Pap.-stained smears.