279 related articles for article (PubMed ID: 30097501)
1. Risk Stratification of Thyroid Nodules Using the Thyroid Imaging Reporting and Data System (TIRADS): The Omission of Thyroid Scintigraphy Increases the Rate of Falsely Suspected Lesions.
Schenke S; Seifert P; Zimny M; Winkens T; Binse I; Görges R
J Nucl Med; 2019 Mar; 60(3):342-347. PubMed ID: 30097501
[TBL] [Abstract][Full Text] [Related]
2.
Ruhlmann M; Ruhlmann J; Görges R; Herrmann K; Antoch G; Keller HW; Ruhlmann V
Thyroid; 2017 Oct; 27(10):1300-1306. PubMed ID: 28793848
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?
Nam SJ; Kwak JY; Moon HJ; Yoon JH; Kim EK; Koo JS
PLoS One; 2017; 12(10):e0186242. PubMed ID: 29023564
[TBL] [Abstract][Full Text] [Related]
5. Malignancy risk stratification in thyroid nodules with nondiagnostic results at cytologic examination: combination of thyroid imaging reporting and data system and the Bethesda System.
Moon HJ; Kim EK; Yoon JH; Kwak JY
Radiology; 2015 Jan; 274(1):287-95. PubMed ID: 25133852
[TBL] [Abstract][Full Text] [Related]
6. Cytology-Ultrasonography Risk-Stratification Scoring System Based on Fine-Needle Aspiration Cytology and the Korean-Thyroid Imaging Reporting and Data System.
Hong MJ; Na DG; Baek JH; Sung JY; Kim JH
Thyroid; 2017 Jul; 27(7):953-959. PubMed ID: 28463597
[TBL] [Abstract][Full Text] [Related]
7. Prevalence of hyperfunctioning thyroid nodules among those in need of fine needle aspiration cytology according to ATA 2015, EU-TIRADS, and ACR-TIRADS.
Noto B; Eveslage M; Pixberg M; Gonzalez Carvalho JM; Schäfers M; Riemann B; Kies P
Eur J Nucl Med Mol Imaging; 2020 Jun; 47(6):1518-1526. PubMed ID: 32152666
[TBL] [Abstract][Full Text] [Related]
8. Characteristics of different histological subtypes of thyroid nodules classified with 99mTc-methoxy-isobutyl-isonitrile imaging and Thyroid Imaging Reporting And Data System.
Schenke SA; Klett R; Wagner PR; Mott S; Zimny M; Feek U; Kreissl MC
Nucl Med Commun; 2021 Jan; 42(1):73-80. PubMed ID: 33122502
[TBL] [Abstract][Full Text] [Related]
9. Sonographically Estimated Risks of Malignancy for Thyroid Nodules Computed with Five Standard Classification Systems: Changes over Time and Their Relation to Malignancy.
Grani G; Lamartina L; Biffoni M; Giacomelli L; Maranghi M; Falcone R; Ramundo V; Cantisani V; Filetti S; Durante C
Thyroid; 2018 Sep; 28(9):1190-1197. PubMed ID: 30105949
[TBL] [Abstract][Full Text] [Related]
10. Application of Thyroid Imaging Reporting and Data System in the Ultrasound Assessment of Thyroid Nodules According to Physician Experience.
Ko SY; Kim EK; Moon HJ; Yoon JH; Kim HY; Kwak JY
Ultrasound Q; 2016 Jun; 32(2):126-31. PubMed ID: 26280583
[TBL] [Abstract][Full Text] [Related]
11. Thyroid Nodules: Nondiagnostic Cytologic Results according to Thyroid Imaging Reporting and Data System before and after Application of the Bethesda System.
Yoon JH; Lee HS; Kim EK; Moon HJ; Kwak JY
Radiology; 2015 Aug; 276(2):579-87. PubMed ID: 25848904
[TBL] [Abstract][Full Text] [Related]
12. Malignancy Risk Stratification of Thyroid Nodules: Comparison between the Thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association Management Guidelines.
Yoon JH; Lee HS; Kim EK; Moon HJ; Kwak JY
Radiology; 2016 Mar; 278(3):917-24. PubMed ID: 26348102
[TBL] [Abstract][Full Text] [Related]
13. Diagnosis of hyperfunctional thyroid nodules: impact of US-elastography.
Ruhlmann M; Stebner V; Görges R; Farahati J; Simon D; Bockisch A; Rosenbaum-Krumme S; Nagarajah J
Nuklearmedizin; 2014; 53(5):173-7. PubMed ID: 24898434
[TBL] [Abstract][Full Text] [Related]
14. Thyroid Imaging Reporting and Data System Risk Stratification of Thyroid Nodules: Categorization Based on Solidity and Echogenicity.
Na DG; Baek JH; Sung JY; Kim JH; Kim JK; Choi YJ; Seo H
Thyroid; 2016 Apr; 26(4):562-72. PubMed ID: 26756476
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Combination of Sonoelastography and TIRADS for the Diagnostic Assessment of Thyroid Nodules.
Schenke S; Zimny M
Ultrasound Med Biol; 2018 Mar; 44(3):575-583. PubMed ID: 29305124
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A Multicenter Prospective Validation Study for the Korean Thyroid Imaging Reporting and Data System in Patients with Thyroid Nodules.
Ha EJ; Moon WJ; Na DG; Lee YH; Choi N; Kim SJ; Kim JK
Korean J Radiol; 2016; 17(5):811-21. PubMed ID: 27587972
[TBL] [Abstract][Full Text] [Related]
19. Comparison among TIRADS (ACR TI-RADS and KWAK- TI-RADS) and 2015 ATA Guidelines in the diagnostic efficiency of thyroid nodules.
Gao L; Xi X; Jiang Y; Yang X; Wang Y; Zhu S; Lai X; Zhang X; Zhao R; Zhang B
Endocrine; 2019 Apr; 64(1):90-96. PubMed ID: 30659427
[TBL] [Abstract][Full Text] [Related]
20. (99m)Tc-Methoxy-Isobutyl-Isonitrile Scintigraphy Is a Useful Tool for Assessing the Risk of Malignancy in Thyroid Nodules with Indeterminate Fine-Needle Cytology.
Campennì A; Giovanella L; Siracusa M; Alibrandi A; Pignata SA; Giovinazzo S; Trimarchi F; Ruggeri RM; Baldari S
Thyroid; 2016 Aug; 26(8):1101-9. PubMed ID: 27266385
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
