BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 37907027)

  • 21. The accuracy of thyroid nodule ultrasound to predict thyroid cancer: systematic review and meta-analysis.
    Brito JP; Gionfriddo MR; Al Nofal A; Boehmer KR; Leppin AL; Reading C; Callstrom M; Elraiyah TA; Prokop LJ; Stan MN; Murad MH; Morris JC; Montori VM
    J Clin Endocrinol Metab; 2014 Apr; 99(4):1253-63. PubMed ID: 24276450
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Diagnostic performance of (99m)Tc-MIBI scan in predicting the malignancy of thyroid nodules: a meta-analysis.
    Treglia G; Caldarella C; Saggiorato E; Ceriani L; Orlandi F; Salvatori M; Giovanella L
    Endocrine; 2013 Aug; 44(1):70-8. PubMed ID: 23529672
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Diagnostic performance of adult-based ATA and ACR-TIRADS ultrasound risk stratification systems in pediatric thyroid nodules: a systematic review and meta-analysis.
    Kim PH; Yoon HM; Hwang J; Lee JS; Jung AY; Cho YA; Baek JH
    Eur Radiol; 2021 Oct; 31(10):7450-7463. PubMed ID: 33864505
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Computer-Aided Diagnosis Systems in Diagnosing Malignant Thyroid Nodules on Ultrasonography: A Systematic Review and Meta-Analysis.
    Xu L; Gao J; Wang Q; Yin J; Yu P; Bai B; Pei R; Chen D; Yang G; Wang S; Wan M
    Eur Thyroid J; 2020 Jul; 9(4):186-193. PubMed ID: 32903956
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. 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]  

  • 27. Diagnostic Value of Sonographic Features in Distinguishing Malignant Partially Cystic Thyroid Nodules: A Systematic Review and Meta-Analysis.
    Shi X; Liu R; Gao L; Xia Y; Jiang Y
    Front Endocrinol (Lausanne); 2021; 12():624409. PubMed ID: 33815282
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.
    Li X; Zhang S; Zhang Q; Wei X; Pan Y; Zhao J; Xin X; Qin C; Wang X; Li J; Yang F; Zhao Y; Yang M; Wang Q; Zheng Z; Zheng X; Yang X; Whitlow CT; Gurcan MN; Zhang L; Wang X; Pasche BC; Gao M; Zhang W; Chen K
    Lancet Oncol; 2019 Feb; 20(2):193-201. PubMed ID: 30583848
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep learning approaches for differentiating thyroid nodules with calcification: a two-center study.
    Chen C; Liu Y; Yao J; Wang K; Zhang M; Shi F; Tian Y; Gao L; Ying Y; Pan Q; Wang H; Wu J; Qi X; Wang Y; Xu D
    BMC Cancer; 2023 Nov; 23(1):1139. PubMed ID: 37996814
    [TBL] [Abstract][Full Text] [Related]  

  • 30. SuperSonic shear imaging for the differentiation between benign and malignant thyroid nodules: a meta-analysis.
    Chen Y; Dong B; Jiang Z; Cai Q; Huang L; Huang H
    J Endocrinol Invest; 2022 Jul; 45(7):1327-1339. PubMed ID: 35229278
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Diagnostic Performance of Technetium-99m Methoxy-Isobutyl-Isonitrile for Differentiation of Malignant Thyroid Nodules: A Systematic Review and Meta-Analysis.
    Kim SJ; Lee SW; Jeong SY; Pak K; Kim K
    Thyroid; 2018 Oct; 28(10):1339-1348. PubMed ID: 30129898
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.
    Ko SY; Lee JH; Yoon JH; Na H; Hong E; Han K; Jung I; Kim EK; Moon HJ; Park VY; Lee E; Kwak JY
    Head Neck; 2019 Apr; 41(4):885-891. PubMed ID: 30715773
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Ultrasound image analysis using deep learning algorithm for the diagnosis of thyroid nodules.
    Song J; Chai YJ; Masuoka H; Park SW; Kim SJ; Choi JY; Kong HJ; Lee KE; Lee J; Kwak N; Yi KH; Miyauchi A
    Medicine (Baltimore); 2019 Apr; 98(15):e15133. PubMed ID: 30985680
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Quantification of cancer risk of each clinical and ultrasonographic suspicious feature of thyroid nodules: a systematic review and meta-analysis.
    Campanella P; Ianni F; Rota CA; Corsello SM; Pontecorvi A
    Eur J Endocrinol; 2014 May; 170(5):R203-11. PubMed ID: 24536085
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Superb microvascular imaging for distinguishing thyroid nodules: A meta-analysis (PRISMA).
    Jin H; Wang C; Jin X
    Medicine (Baltimore); 2022 Jun; 101(24):e29505. PubMed ID: 35713460
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Diagnostic performance of adult-based ultrasound risk stratification systems in pediatric thyroid nodules: a systematic review and meta-analysis.
    Xing Z; Qiu Y; Zhu J; Su A; Wu W
    Front Endocrinol (Lausanne); 2023; 14():1187935. PubMed ID: 37251670
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Deep learning for classification of thyroid nodules on ultrasound: validation on an independent dataset.
    Weng J; Wildman-Tobriner B; Buda M; Yang J; Ho LM; Allen BC; Ehieli WL; Miller CM; Zhang J; Mazurowski MA
    Clin Imaging; 2023 Jul; 99():60-66. PubMed ID: 37116263
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Diagnostic efficacy of multiple MRI parameters in differentiating benign vs. malignant thyroid nodules.
    Wang H; Wei R; Liu W; Chen Y; Song B
    BMC Med Imaging; 2018 Dec; 18(1):50. PubMed ID: 30509198
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Diagnostic Performance of American College of Radiology TI-RADS: A Systematic Review and Meta-Analysis.
    Li W; Wang Y; Wen J; Zhang L; Sun Y
    AJR Am J Roentgenol; 2021 Jan; 216(1):38-47. PubMed ID: 32603229
    [No Abstract]   [Full Text] [Related]  

  • 40. Impact of thyroid nodule size on prevalence and post-test probability of malignancy: a systematic review.
    Shin JJ; Caragacianu D; Randolph GW
    Laryngoscope; 2015 Jan; 125(1):263-72. PubMed ID: 24965892
    [TBL] [Abstract][Full Text] [Related]  

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