Research Article
No access
Published Online: 4 April 2024

A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration Biopsies

Publication: Thyroid
Volume 34, Issue Number 4
First page of PDF

Get full access to this article

View all available purchase options and get full access to this article.

Disclaimer

The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

References

1. Haugen BR, Alexander EK, Bible KC, et al. 2015 American Thyroid Association Management Guidelines for adult patients with thyroid nodules and differentiated thyroid cancer: The American Thyroid Association Guidelines task force on thyroid nodules and differentiated thyroid cancer. Thyroid 2016;26(1):1–133;
2. Ali SZ, Baloch ZW, Cochand-Priollet B, et al. The 2023 Bethesda System for reporting thyroid cytopathology. J Am Soc Cytopathol 2023;12(5):319–325;
3. Faquin WC, Wong LQ, Afrogheh AH, et al. Impact of reclassifying noninvasive follicular variant of papillary thyroid carcinoma on the risk of malignancy in The Bethesda System for Reporting Thyroid Cytopathology. Cancer Cytopathol 2016;124(3):181–187;
4. Hu MI, Waguespack SG, Dosiou C, et al. Afirma genomic sequencing classifier and Xpression Atlas molecular findings in consecutive Bethesda III-VI thyroid nodules. J Clin Endocrinol Metab 2021;106(8):2198–2207;
5. Steward DL, Carty SE, Sippel RS, et al. Performance of a multigene genomic classifier in thyroid nodules with indeterminate cytology: A prospective blinded multicenter study. JAMA Oncol 2019;5(2):204–212;
6. Elliott Range DD, Dov D, Kovalsky SZ, et al. Application of a machine learning algorithm to predict malignancy in thyroid cytopathology. Cancer Cytopathol 2020;128(4):287–295;
7. Dov D, Kovalsky SZ, Assaad S, et al. Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. Med Image Analysis 2021;67:101814;
8. Assaad S, Dov D, Davis R, et al. Thyroid cytopathology cancer diagnosis from smartphone images using machine learning. Mod Pathol 2023;36(6):100129;

Information & Authors

Information

Published In

cover image Thyroid®
Thyroid
Volume 34Issue Number 4April 2024
Pages: 531 - 535
PubMed: 38010913

History

Published online: 4 April 2024
Published in print: April 2024
Published ahead of print: 4 March 2024
Published ahead of production: 27 November 2023

Permissions

Request permissions for this article.

Topics

Authors

Affiliations

Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA.
I-Medata AI Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA.
David Dov
I-Medata AI Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA.
Christine Park
Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA.
Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA.
Richard Davis
Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA.
Shahar Z. Kovalsky
Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Walter T. Lee
Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA.
Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA.
Russel R. Kahmke
Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA.
Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA.
Daniel J. Rocke
Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA.
Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA.
Jonathan Cohen
Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA.
Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA.
Ahuva Weiss-Meilik
I-Medata AI Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Ricardo Henao
Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA.
Office of the Provost, King Abdullah University of Science and Technology, Thuwal, Makkah, Saudi Arabia.
Lawrence Carin
Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA.
Office of the Provost, King Abdullah University of Science and Technology, Thuwal, Makkah, Saudi Arabia.
Danielle Elliott Range [email protected]
Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA.

Notes

Address correspondence to: Danielle Elliott Range, MD, Department of Pathology, Duke University Medical Center, 40 Duke Medicine Circle, Box 3712, Durham, NC 27710, USA [email protected]

Authors' Contributions

S.A.: Conceptualization (lead); data curation (lead); methodology (lead); software (lead); validation (lead), formal analysis (lead); investigation (lead); writing original draft (lead). D.D.: Conceptualization (equal); methodology (equal); software (supporting); writing, reviewing, editing (lead). C.P.: Data curation (supporting); writing, reviewing, editing (supporting). S.Z.K.: Conceptualization (supporting); writing, reviewing, editing (supporting). R.R.K.: Conceptualization (supporting); writing, reviewing, editing (supporting). D.J.R.: Conceptualization (supporting); writing, reviewing and editing (supporting). J.C.: Conceptualization (supporting); writing, reviewing, editing (supporting). A.W.-M.: Conceptualization (supporting); writing, reviewing and editing (supporting). R.H.: Conceptualization (supporting); writing, reviewing and editing (lead). W.T.L.: Data curation (supporting); formal analysis (supporting); writing, reviewing and editing (supporting); funding acquisition (lead). L.C.: Conceptualization (supporting); writing, reviewing and editing (supporting); supervision (lead). D.E.R.: Conceptualization (equal); resources (lead); data curation (supporting); writing, reviewing and editing (equal); supervision (equal).

Author Disclosure Statement

No competing financial interests exist.

Funding Information

W.T.L., D.D., D.E.R., D.J.R., J.C., and S.Z.K. are supported in part by a National Cancer Institute/Fogarty International Center Grant (1R21CA268428-01). No funding was received by S.A., C.P., R.R.K., A.W.-M., R.H., and L.C.

Metrics & Citations

Metrics

Citations

Export citation

Select the format you want to export the citations of this publication.

View Options

Get Access

Access content

To read the fulltext, please use one of the options below to sign in or purchase access.

Society Access

If you are a member of a society that has access to this content please log in via your society website and then return to this publication.

Restore your content access

Enter your email address to restore your content access:

Note: This functionality works only for purchases done as a guest. If you already have an account, log in to access the content to which you are entitled.

View options

PDF/EPUB

View PDF/ePub

Full Text

View Full Text

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share on social media

Back to Top