Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning-based Risk Stratification System Using US Cine-Clip Images.

Abdomen/GI Computer Applications–3D Convolutional Neural Network (CNN) Diagnosis Head/Neck Neural Networks Oncology Supervised Learning Thyroid Transfer Learning US

Journal

Radiology. Artificial intelligence
ISSN: 2638-6100
Titre abrégé: Radiol Artif Intell
Pays: United States
ID NLM: 101746556

Informations de publication

Date de publication:
May 2022
Historique:
received: 21 06 2021
revised: 16 01 2022
accepted: 19 04 2022
entrez: 2 6 2022
pubmed: 3 6 2022
medline: 3 6 2022
Statut: epublish

Résumé

To develop a deep learning-based risk stratification system for thyroid nodules using US cine images. In this retrospective study, 192 biopsy-confirmed thyroid nodules (175 benign, 17 malignant) in 167 unique patients (mean age, 56 years ± 16 [SD], 137 women) undergoing cine US between April 2017 and May 2018 with American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS)-structured radiology reports were evaluated. A deep learning-based system that exploits the cine images obtained during three-dimensional volumetric thyroid scans and outputs malignancy risk was developed and compared, using fivefold cross-validation, against a two-dimensional (2D) deep learning-based model (Static-2DCNN), a radiomics-based model using cine images (Cine-Radiomics), and the ACR TI-RADS level, with histopathologic diagnosis as ground truth. The system was used to revise the ACR TI-RADS recommendation, and its diagnostic performance was compared against the original ACR TI-RADS. The system achieved higher average area under the receiver operating characteristic curve (AUC, 0.88) than Static-2DCNN (0.72, The risk stratification system using US cine images had higher diagnostic performance than prior models and improved specificity of ACR TI-RADS when used to revise ACR TI-RADS recommendation.

Identifiants

DOI: 10.1148/ryai.210174 PMID: 35652118 PMC: PMC9152684
pubmed: 35652118
doi: 10.1148/ryai.210174
pmc: PMC9152684
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e210174

Subventions

Organisme : NCI NIH HHS
ID : K00 CA234954
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA009695
Pays : United States

Informations de copyright

© 2022 by the Radiological Society of North America, Inc.

Déclaration de conflit d'intérêts

Disclosures of conflicts of interest: R.Y. No relevant relationships. T.K. No relevant relationships. M.N.A. No relevant relationships. A.G. No relevant relationships. S.A.S. No relevant relationships. M.U.A. No relevant relationships. E.A. Support for this article from National Institutes of Health (NIH) (award nos. PADLY, PADPM, PAEPI, PAFFL, PAWAO, PCOXK, PCQUD, PCRMR); grants or contracts from National Science Foundation (NSF) (award no. QCBFG), American College of Radiology (AMRAD) (award no. UAPJI), AstraZeneca (award no. UBERP), and Philips Electronics North America Corp (award no. UBGKW). A.L.W. No relevant relationships. N.M. Primary investigator in study of MRI contrast agents, supported by Bracco Diagnostics. D.G. No relevant relationships. V.B. No relevant relationships. N.D.S. Support for this manuscript from NIH fellowship NCI F99/K00 Predoctoral-to-Postdoctoral Fellow Transition Award (K00CA234954) (payment made to Stanford); consulting fees paid to author from Focused Ultrasound Foundation. H.S. No relevant relationships. D.L.R. Grant from NSF in support for this article; grants from NIH, Food and Drug Administration, GE Medical Systems, and Philips; royalty, CRC press for book Radiomics and Radiogenomics; consulting fees from Roche Genentech; provisional patents for Evaluating Artificial Intelligence Applications in Clinical Practice (62/812,905), Automatic Organ Segmentation and Lesion Detection (62/749,053), and Automated Annotation of Text Reports to Enable Developing AI Applications (62/814,225); associate editor for Radiology: Artificial Intelligence. T.S.D. No relevant relationships.

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Auteurs

Rikiya Yamashita (R)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0002-2686-2333

Tara Kapoor (T)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0001-5218-3329

Minhaj Nur Alam (MN)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0003-3095-2232

Alfiia Galimzianova (A)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.

Saad Ali Syed (SA)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.

Mete Ugur Akdogan (M)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0003-1520-1481

Emel Alkim (E)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.

Andrew Louis Wentland (AL)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0003-1736-8218

Nikhil Madhuripan (N)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0002-3690-5261

Daniel Goff (D)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0003-2109-1696

Victoria Barbee (V)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.

Natasha Diba Sheybani (ND)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0002-1137-058X

Hersh Sagreiya (H)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.

Daniel L Rubin (DL)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0001-5057-4369

Terry S Desser (TS)

Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
ORCID: 0000-0001-7983-9738

Classifications MeSH