BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 36242812)

  • 1. Automatic classification of thyroid nodules in ultrasound images using a multi-task attention network guided by clinical knowledge.
    Deng P; Han X; Wei X; Chang L
    Comput Biol Med; 2022 Nov; 150():106172. PubMed ID: 36242812
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multitask network for thyroid nodule diagnosis based on TI-RADS.
    Han X; Chang L; Song K; Cheng L; Li M; Wei X
    Med Phys; 2022 Aug; 49(8):5064-5080. PubMed ID: 35608232
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Thyroid nodules risk stratification through deep learning based on ultrasound images.
    Bai Z; Chang L; Yu R; Li X; Wei X; Yu M; Liu Z; Gao J; Zhu J; Zhang Y; Wang S; Zhang Z
    Med Phys; 2020 Dec; 47(12):6355-6365. PubMed ID: 33089513
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. ACR TI-RADS and ATA US scores are helpful for the management of thyroid nodules with indeterminate cytology.
    Barbosa TLM; Junior COM; Graf H; Cavalvanti T; Trippia MA; da Silveira Ugino RT; de Oliveira GL; Granella VH; de Carvalho GA
    BMC Endocr Disord; 2019 Oct; 19(1):112. PubMed ID: 31664992
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.
    Wei X; Gao M; Yu R; Liu Z; Gu Q; Liu X; Zheng Z; Zheng X; Zhu J; Zhang S
    Med Sci Monit; 2020 Jun; 26():e926096. PubMed ID: 32555130
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessment of the American College of Radiology Thyroid Imaging Reporting and Data System for Thyroid Nodule Malignancy Risk Stratification in a Pediatric Population.
    Lim-Dunham JE; Toslak IE; Reiter MP; Martin B
    AJR Am J Roentgenol; 2019 Jan; 212(1):188-194. PubMed ID: 30403525
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting Malignancy in Thyroid Nodules: Radiomics Score Versus 2017 American College of Radiology Thyroid Imaging, Reporting and Data System.
    Liang J; Huang X; Hu H; Liu Y; Zhou Q; Cao Q; Wang W; Liu B; Zheng Y; Li X; Xie X; Lu M; Peng S; Liu L; Xiao H
    Thyroid; 2018 Aug; 28(8):1024-1033. PubMed ID: 29897018
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Diagnostic performance of the EU TI-RADS and ACR TI-RADS scoring systems in predicting thyroid malignancy.
    Chatti HA; Oueslati I; Azaiez A; Marrakchi J; Boukriba S; Mizouni H; Haouet S; Besbes G; Yazidi M; Chihaoui M
    Endocrinol Diabetes Metab; 2023 Jul; 6(4):e434. PubMed ID: 37327183
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Diagnostic Performance of Six Ultrasound Risk Stratification Systems for Thyroid Nodules: A Systematic Review and Network Meta-Analysis.
    Kim DH; Kim SW; Basurrah MA; Lee J; Hwang SH
    AJR Am J Roentgenol; 2023 Jun; 220(6):791-803. PubMed ID: 36752367
    [No Abstract]   [Full Text] [Related]  

  • 16. Discriminating Malignancy in Thyroid Nodules: The Nomogram Versus the Kwak and ACR TI-RADS.
    Xiao J; Xiao Q; Cong W; Li T; Ding S; Shao C; Zhang Y; Liu J; Wu M; Jia H
    Otolaryngol Head Neck Surg; 2020 Dec; 163(6):1156-1165. PubMed ID: 32689870
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A single-center multidisciplinary study analyzing thyroid nodule risk stratification by comparing the thyroid imaging reporting and data system (TI-RADS) and American thyroid association (ATA) risk of malignancy for thyroid nodules.
    Asya O; Yumuşakhuylu AC; Enver N; Gündoğdu Y; Abuzaid G; İncaz S; Gündoğmuş CA; Ergelen R; Bağcı P; Oysu Ç
    Auris Nasus Larynx; 2023 Jun; 50(3):410-414. PubMed ID: 36064766
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. ACR TI-RADS classification combined with number of nodules, halo features optimizes diagnosis and prediction of follicular thyroid cancer.
    Wu SJ; Tan L; Ruan JL; Qiu Y; Hao SY; Yang HY; Luo BM
    Clin Hemorheol Microcirc; 2022; 82(4):323-334. PubMed ID: 36093690
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnostic performance of simplified TI-RADS for malignant thyroid nodules: comparison with 2017 ACR-TI-RADS and 2020 C-TI-RADS.
    Chen Z; Du Y; Cheng L; Zhang Y; Zheng S; Li R; Zhang W; Zhang W; He W
    Cancer Imaging; 2022 Aug; 22(1):41. PubMed ID: 35978376
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.