Use of Machine Learning-Based Software for the Screening of Thyroid Cytopathology Whole Slide Images.
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ArticleAuthors
Dov, DavidKovalsky, Shahar Z
Feng, Qizhang
Assaad, Serge
Cohen, Jonathan
Bell, Jonathan
Henao, Ricardo
Carin, Lawrence

Range, Danielle Elliott
KAUST Department
Office of the VPAcademic Affairs
Date
2021-10-20Online Publication Date
2021-10-20Print Publication Date
2022-07-01Permanent link to this record
http://hdl.handle.net/10754/672961
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The use of whole slide images (WSIs) in diagnostic pathology presents special challenges for the cytopathologist. Informative areas on a direct smear from a thyroid fine-needle aspiration biopsy (FNAB) smear may be spread across a large area comprising blood and dead space. Manually navigating through these areas makes screening and evaluation of FNA smears on a digital platform time-consuming and laborious. We designed a machine learning algorithm that can identify regions of interest (ROIs) on thyroid fine-needle aspiration biopsy WSIs. To evaluate the ability of the machine learning algorithm and screening software to identify and screen for a subset of informative ROIs on a thyroid FNA WSI that can be used for final diagnosis. A representative slide from each of 109 consecutive thyroid fine-needle aspiration biopsies was scanned. A cytopathologist reviewed each WSI and recorded a diagnosis. The machine learning algorithm screened and selected a subset of 100 ROIs from each WSI to present as an image gallery to the same cytopathologist after a washout period of 117 days. Concordance between the diagnoses using WSIs and those using the machine learning algorithm-generated ROI image gallery was evaluated using pairwise weighted κ statistics. Almost perfect concordance was seen between the 2 methods with a κ score of 0.924. Our results show the potential of the screening software as an effective screening tool with the potential to reduce cytopathologist workloads.Citation
Dov, D., Kovalsky, S. Z., Feng, Q., Assaad, S., Cohen, J., Bell, J., … Range, D. E. (2021). Use of Machine Learning–Based Software for the Screening of Thyroid Cytopathology Whole Slide Images. Archives of Pathology & Laboratory Medicine. doi:10.5858/arpa.2020-0712-oaPubMed ID
34669924Additional Links
https://meridian.allenpress.com/aplm/article/doi/10.5858/arpa.2020-0712-OA/472362/Use-of-Machine-Learning-Based-Software-for-theae974a485f413a2113503eed53cd6c53
10.5858/arpa.2020-0712-oa