BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 38368560)

  • 1. Clinical Evaluation of an Artificial Intelligence-Based Decision Support System for the Diagnosis and American College of Radiology Thyroid Imaging Reporting and Data System Classification of Thyroid Nodules.
    Fernández Velasco P; Pérez López P; Torres Torres B; Delgado E; de Luis D; Díaz Soto G
    Thyroid; 2024 Apr; 34(4):510-518. PubMed ID: 38368560
    [No Abstract]   [Full Text] [Related]  

  • 2. Modified American College of Radiology Thyroid Imaging Reporting and Data System and Modified Artificial Intelligence Thyroid Imaging Reporting and Data System for Thyroid Nodules: A Multicenter Retrospective Study.
    Li X; Peng C; Liu Y; Hu Y; Yang L; Yu Y; Zeng H; Huang W; Li Q; Tao N; Cao L; Zhou J
    Thyroid; 2024 Jan; 34(1):88-100. PubMed ID: 37950720
    [No Abstract]   [Full Text] [Related]  

  • 3. Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.
    Wildman-Tobriner B; Buda M; Hoang JK; Middleton WD; Thayer D; Short RG; Tessler FN; Mazurowski MA
    Radiology; 2019 Jul; 292(1):112-119. PubMed ID: 31112088
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of diagnostic accuracy and utility of artificial intelligence-optimized ACR TI-RADS and original ACR TI-RADS: a multi-center validation study based on 2061 thyroid nodules.
    Liu Y; Li X; Yan C; Liu L; Liao Y; Zeng H; Huang W; Li Q; Tao N; Zhou J
    Eur Radiol; 2022 Nov; 32(11):7733-7742. PubMed ID: 35505119
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Multidisciplinary Head-to-Head Comparison of American College of Radiology Thyroid Imaging and Reporting Data System and American Thyroid Association Ultrasound Risk Stratification Systems.
    Huang BL; Ebner SA; Makkar JS; Bentley-Hibbert S; McConnell RJ; Lee JA; Hecht EM; Kuo JH
    Oncologist; 2020 May; 25(5):398-403. PubMed ID: 31740569
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Reduction in Thyroid Nodule Biopsies and Improved Accuracy with American College of Radiology Thyroid Imaging Reporting and Data System.
    Hoang JK; Middleton WD; Farjat AE; Langer JE; Reading CC; Teefey SA; Abinanti N; Boschini FJ; Bronner AJ; Dahiya N; Hertzberg BS; Newman JR; Scanga D; Vogler RC; Tessler FN
    Radiology; 2018 Apr; 287(1):185-193. PubMed ID: 29498593
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diagnostic Value of Artificial Intelligence-Assistant Diagnostic System Combined With Contrast-Enhanced Ultrasound in Thyroid TI-RADS 4 Nodules.
    Gong ZJ; Xin J; Yin J; Wang B; Li X; Yang HX; Zhu YW; Shen J; Gu J
    J Ultrasound Med; 2023 Jul; 42(7):1527-1535. PubMed ID: 36723397
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Virtual Touch Tissue Imaging and Quantification (VTIQ) combined with the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) for malignancy risk stratification of thyroid nodules.
    Li X; Hou XJ; Du LY; Wu JQ; Wang L; Wang H; Zhou XL
    Clin Hemorheol Microcirc; 2019; 72(3):279-291. PubMed ID: 30856102
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The diagnostic value of ultrasound on different-sized thyroid nodules based on ACR TI-RADS.
    Li W; Chen J; Ye F; Xu D; Fan X; Yang C
    Endocrine; 2023 Dec; 82(3):569-579. PubMed ID: 37656349
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation.
    Barinov L; Jairaj A; Middleton WD; D M; Beland ; Kirsch J; Filice RW; Reverter JL; Arguelles I; Grant EG
    J Digit Imaging; 2023 Dec; 36(6):2392-2401. PubMed ID: 37580483
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Does a higher American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) score forecast an increased risk of malignancy? A correlation study of ACR TI-RADS with FNA cytology in the evaluation of thyroid nodules.
    Modi L; Sun W; Shafizadeh N; Negron R; Yee-Chang M; Zhou F; Simsir A; Sheth S; Brandler TC
    Cancer Cytopathol; 2020 Jul; 128(7):470-481. PubMed ID: 32078249
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The Diagnostic Efficacy of the American College of Radiology (ACR) Thyroid Imaging Report and Data System (TI-RADS) and the American Thyroid Association (ATA) Risk Stratification Systems for Thyroid Nodules.
    Chen F; Sun Y; Chen G; Luo Y; Xue G; Luo K; Ma H; Yao J; Zhu Z; Li G; Li Q
    Comput Math Methods Med; 2022; 2022():9995962. PubMed ID: 35075371
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate.
    Zhao CK; Ren TT; Yin YF; Shi H; Wang HX; Zhou BY; Wang XR; Li X; Zhang YF; Liu C; Xu HX
    Thyroid; 2021 Mar; 31(3):470-481. PubMed ID: 32781915
    [No Abstract]   [Full Text] [Related]  

  • 14. Clinical Study of the Prediction of Malignancy in Thyroid Nodules: Modified Score versus 2017 American College of Radiology's Thyroid Imaging Reporting and Data System Ultrasound Lexicon.
    Jin ZQ; Yu HZ; Mo CJ; Su RQ
    Ultrasound Med Biol; 2019 Jul; 45(7):1627-1637. PubMed ID: 31064698
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and Validation of a Nomogram Based on Multimodality Ultrasonography Images for Differentiating Malignant from Benign American College of Radiology Thyroid Imaging, Reporting and Data System (TI-RADS) 3-5 Thyroid Nodules.
    Pang L; Yang X; Zhang P; Ding L; Yuan J; Liu H; Liu J; Gong X; Yu M; Luo W
    Ultrasound Med Biol; 2024 Apr; 50(4):557-563. PubMed ID: 38262884
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Retrospective Cohort Study of 1947 Thyroid Nodules: A Comparison of the 2017 American College of Radiology TI-RADS and the 2015 American Thyroid Association Classifications.
    Pandya A; Caoili EM; Jawad-Makki F; Wasnik AP; Shankar PR; Bude R; Haymart MR; Davenport MS
    AJR Am J Roentgenol; 2020 Apr; 214(4):900-906. PubMed ID: 32069084
    [No Abstract]   [Full Text] [Related]  

  • 17. Thyroid Nodules on Ultrasound in Children and Young Adults: Comparison of Diagnostic Performance of Radiologists' Impressions, ACR TI-RADS, and a Deep Learning Algorithm.
    Yang J; Page LC; Wagner L; Wildman-Tobriner B; Bisset L; Frush D; Mazurowski MA
    AJR Am J Roentgenol; 2023 Mar; 220(3):408-417. PubMed ID: 36259591
    [No Abstract]   [Full Text] [Related]  

  • 18. Diagnostic efficiency of existing guidelines and the AI-SONIC™ artificial intelligence for ultrasound-based risk assessment of thyroid nodules.
    Yang L; Lin N; Wang M; Chen G
    Front Endocrinol (Lausanne); 2023; 14():1116550. PubMed ID: 36875473
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of thyroid nodules with coexistent Hashimoto's thyroiditis according to various ultrasound-based risk stratification systems:A retrospective research.
    Wang D; Du LY; Sun JW; Hou XJ; Wang H; Wu JQ; Zhou XL
    Eur J Radiol; 2020 Oct; 131():109059. PubMed ID: 32739109
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Benign thyroid nodules classified as ACR TI-RADS 4 or 5: Imaging and histological features.
    Chen J; Ye D; Lv S; Li X; Ye F; Huang Y; Su Z; Lin Y; Xie T; Wen X
    Eur J Radiol; 2024 Jun; 175():111261. PubMed ID: 38493559
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.