Combining Ultrasound Imaging and Molecular Testing in a Multimodal Deep Learning Model for Risk Stratification of Indeterminate Thyroid Nodules

被引：0
|
作者：
Athreya, Shreeram [1 ]
Melehy, Andrew [2 ]
Suthahar, Sujit Silas Armstrong [3 ]
Ivezic, Vedrana [4 ]
Radhachandran, Ashwath [3 ]
Sant, Vivek R. [5 ]
Moleta, Chace [6 ]
Zheng, Henry [4 ]
Patel, Maitraya [7 ]
Masamed, Rinat [7 ]
Livhits, Masha [2 ]
Yeh, Michael [2 ]
Arnold, Corey W. [1 ,3 ,4 ,6 ,7 ]
Speier, William [3 ,4 ,7 ]
机构：
[1] UCLA, Dept Elect & Comp Engn, Los Angeles, CA USA
[2] UCLA, Dept Surg, Los Angeles, CA USA
[3] UCLA, Dept Bioengn, Los Angeles, CA USA
[4] UCLA, Med Informat, Los Angeles, CA USA
[5] UT Southwestern Med Ctr, Dept Surg, Dallas, TX USA
[6] UCLA, Dept Pathol & Lab Med, Los Angeles, CA USA
[7] UCLA, Dept Radiol Sci, Los Angeles, CA USA
来源：
THYROID | 2025年
基金：
美国国家卫生研究院;
关键词：
MANAGEMENT; CANCER;
D O I：
10.1089/thy.2024.0584
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页数：4
相关论文
共 50 条
  • [1] Risk stratification of indeterminate thyroid nodules using ultrasound and machine learning algorithms
    Gild, Matti Lauren
    Chan, Mico
    Gajera, Jay
    Lurie, Brett
    Gandomkar, Ziba
    Clifton-Bligh, Roderick J.
    CLINICAL ENDOCRINOLOGY, 2022, 96 (04) : 646 - 652
  • [2] Performance of multigene testing in cytologically indeterminate thyroid nodules and molecular risk stratification
    Zhou, Yuanyuan
    Wu, Xinping
    Zhang, Yuzhi
    Li, Zhiqiang
    Ge, Xia
    Chen, Hao
    Mao, Yuan
    Ding, Wenbo
    PEERJ, 2023, 11
  • [3] The Effect Modification of Ultrasound Risk Classification on Molecular Testing in Predicting the Risk of Malignancy in Cytologically Indeterminate Thyroid Nodules
    Hu, Theodore X.
    Nguyen, Dalena T.
    Patel, Maitraya
    Beckett, Katrina
    Douek, Michael
    Masamed, Rinat
    Rhyu, Jane
    Kim, Jiyoon
    Tseng, Chi-Hong
    Yeh, Michael W.
    Livhits, Masha J.
    THYROID, 2022, 32 (08) : 905 - 916
  • [4] Comparison of Thyroid Imaging Reporting and Data Systems in Malignancy Risk Stratification of Indeterminate Thyroid Nodules
    Kim, Bo Hyun
    ENDOCRINOLOGY AND METABOLISM, 2021, 36 (05) : 974 - 976
  • [5] Localization and Risk Stratification of Thyroid Nodules in Ultrasound Images Through Deep Learning
    Wang, Zhipeng
    Wang, Xiuzhu
    Wang, Ting
    Qiu, Jianfeng
    Lu, Weizhao
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2024, 50 (06) : 882 - 887
  • [6] Thyroid nodules risk stratification through deep learning based on ultrasound images
    Bai, Ziyu
    Chang, Luchen
    Yu, Ruiguo
    Li, Xuewei
    Wei, Xi
    Yu, Mei
    Liu, Zhiqiang
    Gao, Jie
    Zhu, Jialin
    Zhang, Yulin
    Wang, Shuaijie
    Zhang, Zhuo
    MEDICAL PHYSICS, 2020, 47 (12) : 6355 - 6365
  • [7] Risk stratification of indeterminate thyroid nodules by novel multigene testing: a study of Asians with a high risk of malignancy
    Hu, Chunfang
    Jing, Weiwei
    Chang, Qing
    Zhang, Zhihui
    Liu, Zhenrong
    Cao, Jian
    Zhao, Linlin
    Sun, Yue
    Wang, Cong
    Zhao, Huan
    Xiao, Ting
    Guo, Huiqin
    MOLECULAR ONCOLOGY, 2022, 16 (08) : 1680 - 1693
  • [8] Indeterminate Thyroid Nodules: From Cytology to Molecular Testing
    Vignali, Paola
    Macerola, Elisabetta
    Poma, Anello Marcello
    Sparavelli, Rebecca
    Basolo, Fulvio
    DIAGNOSTICS, 2023, 13 (18)
  • [9] Deep learning for the diagnosis of suspicious thyroid nodules based on multimodal ultrasound images
    Tao, Yi
    Yu, Yanyan
    Wu, Tong
    Xu, Xiangli
    Dai, Quan
    Kong, Hanqing
    Zhang, Lei
    Yu, Weidong
    Leng, Xiaoping
    Qiu, Weibao
    Tian, Jiawei
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [10] Systems of RISK Stratification of Malignancy by Ultrasound of Thyroid Nodules
    Rodriguez Arrieta, Luis Antonio
    Roman-Gonzalez, Alejandro
    Builes Barrera, Carlos A.
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2020, 12 (11)
12345