BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 38149658)

  • 21. Comparative analysis of machine learning-based ultrasound radiomics in predicting malignancy of partially cystic thyroid nodules.
    Zhou T; Hu T; Ni Z; Yao C; Xie Y; Jin H; Luo D; Huang H
    Endocrine; 2024 Jan; 83(1):118-126. PubMed ID: 37542676
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The diagnostic efficacy and inappropriate biopsy rate of ACR TI-RADS and ATA guidelines for thyroid nodules in children and adolescents.
    Li G; Zhang B; Liu J; Xiong Y
    Front Endocrinol (Lausanne); 2023; 14():1052945. PubMed ID: 37051202
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Predicting the pathological invasiveness in patients with a solitary pulmonary nodule via Shapley additive explanations interpretation of a tree-based machine learning radiomics model: a multicenter study.
    Zhang R; Hong M; Cai H; Liang Y; Chen X; Liu Z; Wu M; Zhou C; Bao C; Wang H; Yang S; Hu Q
    Quant Imaging Med Surg; 2023 Dec; 13(12):7828-7841. PubMed ID: 38106261
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules.
    Li W; Hong T; Fang J; Liu W; Liu Y; He C; Li X; Xu C; Wang B; Chen Y; Sun C; Li W; Kang W; Yin C
    Front Oncol; 2022; 12():968784. PubMed ID: 36568189
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A machine learning-based sonomics for prediction of thyroid nodule malignancies.
    Arabi M; Nazari M; Salahshour A; Jenabi E; Hajianfar G; Khateri M; Shayesteh SP
    Endocrine; 2023 Nov; 82(2):326-334. PubMed ID: 37291392
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Effect of the size of benign thyroid degenerative nodules on ACR TI-RADS categories.
    Yan Y; Zhang F; Ge H; Miao L; Zhang L; Xiong Y; Fu Q; Liu H
    J Med Ultrason (2001); 2022 Jan; 49(1):71-76. PubMed ID: 34783919
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Evaluation of Thyroid Ultrasound Report Quality and Assessing Effect of Adherence to Risk Stratification Criteria on Referral for Thyroid Nodule Biopsy.
    Thejeel B; Rahimi B; Seidler M; Al-Agha R; Fung C
    Can Assoc Radiol J; 2021 May; 72(2):234-241. PubMed ID: 32090615
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance.
    Park VY; Lee E; Lee HS; Kim HJ; Yoon J; Son J; Song K; Moon HJ; Yoon JH; Kim GR; Kwak JY
    Eur Radiol; 2021 Apr; 31(4):2405-2413. PubMed ID: 33034748
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Predictors and a prediction model for positive fine needle aspiration biopsy in C-TIRADS 4 thyroid nodules.
    Yang Z; Gao X; Yang L
    Front Endocrinol (Lausanne); 2023; 14():1154984. PubMed ID: 37554760
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.
    Zhou H; Jin Y; Dai L; Zhang M; Qiu Y; Wang K; Tian J; Zheng J
    Eur J Radiol; 2020 Jun; 127():108992. PubMed ID: 32339983
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Diagnostic Accuracy of Five Different Classification Systems for Thyroid Nodules: A Prospective, Comparative Study.
    Orhan Soylemez UP; Gunduz N
    J Ultrasound Med; 2022 May; 41(5):1125-1136. PubMed ID: 34370333
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. 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]  

  • 34. 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]  

  • 35. Effectiveness of TI-RADS and ATA classifications for predicting malignancy of thyroid nodules.
    Şahin M; Oguz A; Tuzun D; Akkus G; Törün GI; Bahar AY; Şahin H; Gül K
    Adv Clin Exp Med; 2021 Nov; 30(11):1133-1139. PubMed ID: 34510845
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Qualitative analysis of contrast-enhanced ultrasound in the diagnosis of small, TR3-5 benign and malignant thyroid nodules measuring ≤1 cm.
    Li X; Gao F; Li F; Han XX; Shao SH; Yao MH; Li CX; Zheng J; Wu R; Du LF
    Br J Radiol; 2020 Jul; 93(1111):20190923. PubMed ID: 32242748
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Exploring the Value of Radiomics Features Based on B-Mode and Contrast-Enhanced Ultrasound in Discriminating the Nature of Thyroid Nodules.
    Guo SY; Zhou P; Zhang Y; Jiang LQ; Zhao YF
    Front Oncol; 2021; 11():738909. PubMed ID: 34722288
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Age-related variation in malignant cytology rates of thyroid nodules: insights from a retrospective observational study assessing the ACR TI-RADS.
    Walter LB; Fernandes PM; Strieder DL; Scheinpflug AL; Zanella AB; Faccin CS; Farenzena M; Xavier LF; Zorzi BDC; Graudenz MS; Scheffel RS; Dora JM; Goemann IM; Maia AL
    Eur J Endocrinol; 2023 Dec; 189(6):584-589. PubMed ID: 38033287
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A Comparison of Two Widely Used Risk Stratification Systems for Thyroid Nodule Sonographic Evaluation.
    Paker M; Goldman T; Masalha M; Shlizerman L; Mazzawi S; Ashkenazi D; Ghanayim R
    Isr Med Assoc J; 2021 Nov; 23(11):714-719. PubMed ID: 34811987
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.