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Results: 1 to 20 of 113

Similar articles for PubMed (Select 23323040)

1.

Image reporting and characterization system for ultrasound features of thyroid nodules: multicentric Korean retrospective study.

Kwak JY, Jung I, Baek JH, Baek SM, Choi N, Choi YJ, Jung SL, Kim EK, Kim JA, Kim JH, Kim KS, Lee JH, Lee JH, Moon HJ, Moon WJ, Park JS, Ryu JH, Shin JH, Son EJ, Sung JY, Na DG; Korean Society of Thyroid Radiology (KSThR); Korean Society of Radiology.

Korean J Radiol. 2013 Jan-Feb;14(1):110-7. doi: 10.3348/kjr.2013.14.1.110. Epub 2012 Dec 28. Erratum in: Korean J Radiol. 2013 Mar-Apr;14(2):389.

2.

Can vascularity at power Doppler US help predict thyroid malignancy?

Moon HJ, Kwak JY, Kim MJ, Son EJ, Kim EK.

Radiology. 2010 Apr;255(1):260-9. doi: 10.1148/radiol.09091284.

PMID:
20308462
3.
4.

Diagnostic performance of gray-scale US and elastography in solid thyroid nodules.

Moon HJ, Sung JM, Kim EK, Yoon JH, Youk JH, Kwak JY.

Radiology. 2012 Mar;262(3):1002-13. doi: 10.1148/radiol.11110839.

PMID:
22357900
5.

Initially non-diagnostic ultrasound-guided fine needle aspiration cytology of thyroid nodules: value and management.

Chung J, Youk JH, Kim JA, Kwak JY, Kim EK, Ryu YH, Son EJ.

Acta Radiol. 2012 Mar 1;53(2):168-73. doi: 10.1258/ar.2011.110133. Epub 2011 Oct 3.

PMID:
21969700
6.

Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk.

Kwak JY, Han KH, Yoon JH, Moon HJ, Son EJ, Park SH, Jung HK, Choi JS, Kim BM, Kim EK.

Radiology. 2011 Sep;260(3):892-9. doi: 10.1148/radiol.11110206. Epub 2011 Jul 19.

PMID:
21771959
7.

The diagnostic efficiency of ultrasound in characterization for thyroid nodules: how many criteria are required to predict malignancy?

Ozel A, Erturk SM, Ercan A, Yılmaz B, Basak T, Cantisani V, Basak M, Karpat Z.

Med Ultrason. 2012 Mar;14(1):24-8.

8.

Conventional US, US elasticity imaging, and acoustic radiation force impulse imaging for prediction of malignancy in thyroid nodules.

Xu JM, Xu XH, Xu HX, Zhang YF, Zhang J, Guo LH, Liu LN, Liu C, Zheng SG.

Radiology. 2014 Aug;272(2):577-86. doi: 10.1148/radiol.14132438. Epub 2014 Apr 2. Erratum in: Radiology. 2015 Jan;274(1):307.

PMID:
24689885
9.

Benign and malignant thyroid nodules: US differentiation--multicenter retrospective study.

Moon WJ, Jung SL, Lee JH, Na DG, Baek JH, Lee YH, Kim J, Kim HS, Byun JS, Lee DH; Thyroid Study Group, Korean Society of Neuro- and Head and Neck Radiology.

Radiology. 2008 Jun;247(3):762-70. doi: 10.1148/radiol.2473070944. Epub 2008 Apr 10.

PMID:
18403624
10.

A bayesian network for differentiating benign from malignant thyroid nodules using sonographic and demographic features.

Liu YI, Kamaya A, Desser TS, Rubin DL.

AJR Am J Roentgenol. 2011 May;196(5):W598-605. doi: 10.2214/AJR.09.4037.

PMID:
21512051
11.

The diagnostic accuracy of ultrasound-guided fine-needle aspiration biopsy and the sonographic differences between benign and malignant thyroid nodules 3 cm or larger.

Yoon JH, Kwak JY, Moon HJ, Kim MJ, Kim EK.

Thyroid. 2011 Sep;21(9):993-1000. doi: 10.1089/thy.2010.0458. Epub 2011 Aug 11.

PMID:
21834673
12.

Diagnostic accuracy of the ultrasonographic features for subcentimeter thyroid nodules suggested by the revised American Thyroid Association guidelines.

Kim HG, Moon HJ, Kwak JY, Kim EK.

Thyroid. 2013 Dec;23(12):1583-9. doi: 10.1089/thy.2012.0586. Epub 2013 Sep 4.

PMID:
23701365
13.

Ultrasound sensitivity for thyroid malignancy is increased by real-time elastography: a prospective multicenter study.

Trimboli P, Guglielmi R, Monti S, Misischi I, Graziano F, Nasrollah N, Amendola S, Morgante SN, Deiana MG, Valabrega S, Toscano V, Papini E.

J Clin Endocrinol Metab. 2012 Dec;97(12):4524-30. doi: 10.1210/jc.2012-2951. Epub 2012 Oct 12.

PMID:
23066117
14.

Combined value of Virtual Touch tissue quantification and conventional sonographic features for differentiating benign and malignant thyroid nodules smaller than 10 mm.

Zhang H, Shi Q, Gu J, Jiang L, Bai M, Liu L, Wu Y, Du L.

J Ultrasound Med. 2014 Feb;33(2):257-64. doi: 10.7863/ultra.33.2.257.

15.

A nomogram for predicting malignancy in thyroid nodules diagnosed as atypia of undetermined significance/follicular lesions of undetermined significance on fine needle aspiration.

Yoon JH, Lee HS, Kim EK, Moon HJ, Kwak JY.

Surgery. 2014 Jun;155(6):1006-13. doi: 10.1016/j.surg.2013.12.035. Epub 2014 Jan 3.

PMID:
24630147
16.

Thyroid nodules: risk stratification for malignancy with ultrasound and guided biopsy.

Anil G, Hegde A, Chong FH.

Cancer Imaging. 2011 Dec 28;11:209-23. doi: 10.1102/1470-7330.2011.0030. Review.

17.
18.

Predictive factors of malignancy in patients with cytologically suspicious for Hurthle cell neoplasm of thyroid nodules.

Lee KH, Shin JH, Ko ES, Hahn SY, Kim JS, Kim JH, Oh YL.

Int J Surg. 2013;11(9):898-902. doi: 10.1016/j.ijsu.2013.07.010. Epub 2013 Jul 31.

PMID:
23916366
19.

Differentiation between benign and malignant solid thyroid nodules using an US classification system.

Lee YH, Kim DW, In HS, Park JS, Kim SH, Eom JW, Kim B, Lee EJ, Rho MH.

Korean J Radiol. 2011 Sep-Oct;12(5):559-67. doi: 10.3348/kjr.2011.12.5.559. Epub 2011 Aug 24.

20.

Risk of malignancy in nonpalpable thyroid nodules: predictive value of ultrasound and color-Doppler features.

Papini E, Guglielmi R, Bianchini A, Crescenzi A, Taccogna S, Nardi F, Panunzi C, Rinaldi R, Toscano V, Pacella CM.

J Clin Endocrinol Metab. 2002 May;87(5):1941-6.

PMID:
11994321
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