An Automatable Method for Determining Adequacy of Thyroid Fine-Needle Aspiration Samples.
Context.--Thyroid nodules are a common clinical problem. Cytologic evaluation via fine-needle aspiration is often employed in the diagnostic workup, and rapid on-site assessment of adequacy can help ensure an adequate sample is obtained. However, rapid on-site assessment of adequacy only examines pa...
| Publicado en: | Archives of Pathology & Laboratory Medicine Vol. 143; no. 9; pp. 1084 - 1089 |
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| Autores principales: | , |
| Formato: | algorithm pictorial research tables/charts Journal Article |
| Publicado: |
College of American Pathologists
Sep2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138527740&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138527740 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00039985 1FS jtl: Archives of Pathology & Laboratory Medicine issn: 00039985 maglogo: N pubinfo: dt: Sep2019 vid: 143 iid: 9 pid: 2550 pub: College of American Pathologists place: Northfield, Illinois artinfo: ui: 138527740 138527740 138527740 10.5858/arpa.2018-0072-OA 138527740 ppf: 1084 ppct: 5 formats: fmt: @attributes: type: P tig: atl: An Automatable Method for Determining Adequacy of Thyroid Fine-Needle Aspiration Samples. aug: au: Schmolze, Daniel B. Fischer, Andrew H. affil: Department of Pathology, City of Hope National Medical Center, Duarte, California sug: subj: Thyroid Neoplasms Diagnosis Biopsy, Needle Methods Automation Sensitivity and Specificity Fluorescent Antibody Technique Methods Human Algorithms Staining and Labeling Methods Microscopy Methods Pathologists Psychosocial Factors Digital Imaging Methods ab: Context.--Thyroid nodules are a common clinical problem. Cytologic evaluation via fine-needle aspiration is often employed in the diagnostic workup, and rapid on-site assessment of adequacy can help ensure an adequate sample is obtained. However, rapid on-site assessment of adequacy only examines part of the sample, a part that may not then be available for ancillary testing. Moreover, the procedure is time-consuming and poorly reimbursed. Objective.--To develop an automatable fluorescence-based image analysis system for assessing the adequacy of thyroid fine-needle aspirations that uses the entire aspirated sample. Design.--There were 12 previously diagnosed cases that served as a training set, and 11 cases were used for validation of an image analysis algorithm. The samples were fluorescently stained and imaged using a fluorescent microscope. The images were assessed for adequacy by an image analysis algorithm. Following image analysis, a ThinPrep slide was prepared and blindly scored by a cytopathologist. The standard and computer-derived results were then compared. Results.--The algorithm was optimized using the 12 cases in the training set and then applied to the 11 test cases. A total of 8 of 8 adequate samples in the test group were correctly scored as adequate, and 2 of 3 cases that were inadequate were correctly scored as inadequate by the algorithm. One case was erroneously designated as not adequate by the algorithm. Conclusions.--Our results demonstrate the feasibility of automating thyroid adequacy assessment using a fluorescent labeling technique followed by computer image analysis. pubtype: Academic Journal doctype: algorithm pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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