BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 33121054)

  • 21. Clinico-pathological Correlation of Thyroid Nodule Ultrasound and Cytology Using the TIRADS and Bethesda Classifications.
    Singaporewalla RM; Hwee J; Lang TU; Desai V
    World J Surg; 2017 Jul; 41(7):1807-1811. PubMed ID: 28251273
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Inter-exam agreement and diagnostic performance of the Korean thyroid imaging reporting and data system for thyroid nodule assessment: Real-time versus static ultrasonography.
    Bae JM; Hahn SY; Shin JH; Ko EY
    Eur J Radiol; 2018 Jan; 98():14-19. PubMed ID: 29279153
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Predictive quantitative sonographic features on classification of hot and cold thyroid nodules.
    Ardakani AA; Mohammadzadeh A; Yaghoubi N; Ghaemmaghami Z; Reiazi R; Jafari AH; Hekmat S; Shiran MB; Bitarafan-Rajabi A
    Eur J Radiol; 2018 Apr; 101():170-177. PubMed ID: 29571793
    [TBL] [Abstract][Full Text] [Related]  

  • 24. TIRADS for sonographic assessment of hypofunctioning and indifferent thyroid nodules.
    Schenke S; Rink T; Zimny M
    Nuklearmedizin; 2015; 54(3):144-50. PubMed ID: 25865064
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis.
    Liu W; Lin C; Chen D; Niu L; Zhang R; Pi Z
    Comput Methods Programs Biomed; 2024 Feb; 244():107999. PubMed ID: 38194766
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Comparison of diagnostic accuracy of ACR-TIRADS, American Thyroid Association (ATA), and EU-TIRADS guidelines in detecting thyroid malignancy.
    Koc AM; Adıbelli ZH; Erkul Z; Sahin Y; Dilek I
    Eur J Radiol; 2020 Dec; 133():109390. PubMed ID: 33181485
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Ultrasound Image Classification of Thyroid Nodules Using Machine Learning Techniques.
    Vadhiraj VV; Simpkin A; O'Connell J; Singh Ospina N; Maraka S; O'Keeffe DT
    Medicina (Kaunas); 2021 May; 57(6):. PubMed ID: 34074037
    [No Abstract]   [Full Text] [Related]  

  • 28. Prediction of thyroid nodule malignancy using thyroid imaging reporting and data system (TIRADS) and nodule size.
    Shayganfar A; Hashemi P; Esfahani MM; Ghanei AM; Moghadam NA; Ebrahimian S
    Clin Imaging; 2020 Apr; 60(2):222-227. PubMed ID: 31927498
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Prospective validation of the ultrasound based TIRADS (Thyroid Imaging Reporting And Data System) classification: results in surgically resected thyroid nodules.
    Horvath E; Silva CF; Majlis S; Rodriguez I; Skoknic V; Castro A; Rojas H; Niedmann JP; Madrid A; Capdeville F; Whittle C; Rossi R; Domínguez M; Tala H
    Eur Radiol; 2017 Jun; 27(6):2619-2628. PubMed ID: 27718080
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Interrater Reliability of Various Thyroid Imaging Reporting and Data System (TIRADS) Classifications for Differentiating Benign from Malignant Thyroid Nodules.
    Phuttharak W; Boonrod A; Klungboonkrong V; Witsawapaisan T
    Asian Pac J Cancer Prev; 2019 Apr; 20(4):1283-1288. PubMed ID: 31031222
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Texture and shape analysis of diffusion-weighted imaging for thyroid nodules classification using machine learning.
    Sharafeldeen A; Elsharkawy M; Khaled R; Shaffie A; Khalifa F; Soliman A; Abdel Razek AAK; Hussein MM; Taman S; Naglah A; Alrahmawy M; Elmougy S; Yousaf J; Ghazal M; El-Baz A
    Med Phys; 2022 Feb; 49(2):988-999. PubMed ID: 34890061
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Ultrasound-based differentiation of malignant and benign thyroid Nodules: An extreme learning machine approach.
    Xia J; Chen H; Li Q; Zhou M; Chen L; Cai Z; Fang Y; Zhou H
    Comput Methods Programs Biomed; 2017 Aug; 147():37-49. PubMed ID: 28734529
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Diagnostic Performance of Ultrasound Patterns by K-TIRADS and 2015 ATA Guidelines in Risk Stratification of Thyroid Nodules and Follicular Lesions of Undetermined Significance.
    Hong HS; Lee JY
    AJR Am J Roentgenol; 2019 Aug; 213(2):444-450. PubMed ID: 31039023
    [No Abstract]   [Full Text] [Related]  

  • 35. A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment.
    Choi YJ; Baek JH; Park HS; Shim WH; Kim TY; Shong YK; Lee JH
    Thyroid; 2017 Apr; 27(4):546-552. PubMed ID: 28071987
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A novel ultrasound image diagnostic method for thyroid nodules.
    Zheng Z; Su T; Wang Y; Weng Z; Chai J; Bu W; Xu J; Chen J
    Sci Rep; 2023 Jan; 13(1):1654. PubMed ID: 36717703
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Non-Marked Hypoechogenic Nodules: Multicenter Study on the Thyroid Malignancy Risk Stratification and Accuracy Based on TIRADS Systems Comparison.
    Prieditis P; Radzina M; Mikijanska M; Liepa M; Stepanovs K; Grani G; Durante C; Lamartina L; Trimboli P; Cantisani V
    Medicina (Kaunas); 2022 Feb; 58(2):. PubMed ID: 35208581
    [No Abstract]   [Full Text] [Related]  

  • 38. Can the American Thyroid Association, K-Tirads, and Acr-Tirads Ultrasound Classification Systems Be Used to Predict Malignancy in Bethesda Category IV Nodules?
    Yang W; Fananapazir G; LaRoy J; Wilson M; Campbell MJ
    Endocr Pract; 2020 Sep; 26(9):945-952. PubMed ID: 33471698
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison of the diagnostic accuracy of K-TIRADS and EU-TIRADS guidelines for detection of thyroid malignancy on ultrasound.
    Marukatat N; Parklug P; Chanasriyotin C
    Radiography (Lond); 2023 Aug; 29(5):862-866. PubMed ID: 37413957
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A Prospective Study to Evaluate the Reliability of Thyroid Imaging Reporting and Data System in Differentiation between Benign and Malignant Thyroid Lesions.
    Srinivas MN; Amogh VN; Gautam MS; Prathyusha IS; Vikram NR; Retnam MK; Balakrishna BV; Kudva N
    J Clin Imaging Sci; 2016; 6():5. PubMed ID: 27014501
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.