Artificial Intelligence Automates Digital Image Analysis Workflow for Ki67 in Pancreatic Neuroendocrine Tumor Fine Needle Aspiration Biopsy Cell Blocks

2019 ◽  
Vol 8 (5) ◽  
pp. S68 ◽  
Author(s):  
Emilio Madrigal ◽  
Dandan Mo ◽  
Long Le ◽  
Martha Pitman
Keyword(s):  
Artificial Intelligence ◽  
Image Analysis ◽  
Digital Image ◽  
Fine Needle Aspiration ◽  
Digital Image Analysis ◽  
Fine Needle Aspiration Biopsy ◽  
Pancreatic Neuroendocrine Tumor ◽  
Needle Aspiration ◽  
Fine Needle ◽  
Analysis Workflow

scholarly journals Artificial Intelligence in Thyroid Fine Needle Aspiration Biopsies

2020 ◽  
Vol 65 (4) ◽  
pp. 324-329
Author(s):  
Brie Kezlarian ◽  
Oscar Lin
Keyword(s):  
Artificial Intelligence ◽  
Fine Needle Aspiration ◽  
Fine Needle Aspiration Biopsy ◽  
Needle Aspiration ◽  
Aspiration Biopsy ◽  
Key Words And Phrases ◽  
Fine Needle ◽  
Thyroid Fine Needle Aspiration ◽  
Needle Aspiration Biopsy ◽  
Thyroid Cytopathology

<b><i>Background:</i></b> From cell phones to aerospace, artificial intelligence (AI) has wide-reaching influence in the modern age. In this review, we discuss the application of AI solutions to an equally ubiquitous problem in cytopathology – thyroid fine needle aspiration biopsy (FNAB). Thyroid nodules are common in the general population, and FNAB is the sampling modality of choice. The resulting prevalence in the practicing pathologist’s daily workload makes thyroid FNAB an appealing target for the application of AI solutions. <b><i>Summary:</i></b> This review summarizes all available literature on the application of AI to thyroid cytopathology. We follow the evolution from morphometric analysis to convolutional neural networks. We explore the application of AI technology to different questions in thyroid cytopathology, including distinguishing papillary carcinoma from benign, distinguishing follicular adenoma from carcinoma and identifying non-invasive follicular thyroid neoplasm with papillary-like nuclear features by key words and phrases. <b><i>Key Messages:</i></b> The current literature shows promise towards the application of AI technology to thyroid fine needle aspiration biopsy. Much work is needed to define how this powerful technology will be of best use to the future of cytopathology practice.

LYMPHOID INFILTRATION IN TOXIC GOITRES STUDIED WITH FINE NEEDLE ASPIRATION BIOPSY

1972 ◽  
Vol 71 (3) ◽  
pp. 480-490 ◽  
Author(s):  
Göran Nilsson
Keyword(s):  
Fine Needle Aspiration ◽  
Fine Needle Aspiration Biopsy ◽  
Needle Aspiration ◽  
Lymphoid Cells ◽  
Aspiration Biopsy ◽  
Fine Needle ◽  
Fine Needle Aspirates ◽  
Needle Aspiration Biopsy ◽  
Lymphoid Infiltration ◽  
Long Acting

ABSTRACT Cytodiagnostic fine needle aspiration biopsy specimens from toxic goitres were studied for signs of lymphoid infiltration. Comparison with histological sections of specimens obtained by surgery showed that an excess of lymphoid cells in the aspirate smears corresponded to a large number of lymphoid foci in these sections. Excess of lymphoid cells in the fine needle aspirates was also positively correlated with the occurrence of circulating thyroid antibodies against thyroglobulin and/or cytoplasmic antigen, but not with the presence of the long-acting thyroid stimulating factor, LATS. It also varied with age in that it was most common in the youngest patients and in patients between 40–55 years, while lymphoid infiltration was seldom seen in patients over 55 years. A finding of practical clinical interest was that in toxic goitres with cytological signs of lymphoid infiltration hyperthyroidism had less tendency to recur after treatment with thiocarbamide drugs than in those without such signs.

Sign in / Sign up

Export Citation Format

Share Document