Cho KS - Search Results

1

Diagnosis of lymph node metastasis in uterine cervical cancer: usefulness of computer-aided diagnosis with comprehensive evaluation of MR images and clinical findings.

Kim MH, Kim JK, Lee Y, Park BW, Lee CK, Kim N, Cho G, Choi HJ, Cho KS. Kim MH, et al. Among authors: cho ks, cho g. Acta Radiol. 2011 Dec 1;52(10):1175-83. doi: 10.1258/ar.2011.110202. Epub 2011 Oct 3. Acta Radiol. 2011. PMID: 21969698

2

Feasibility of diffusion-weighted imaging in the differentiation of metastatic from nonmetastatic lymph nodes: early experience.

Kim JK, Kim KA, Park BW, Kim N, Cho KS. Kim JK, et al. Among authors: cho ks. J Magn Reson Imaging. 2008 Sep;28(3):714-9. doi: 10.1002/jmri.21480. J Magn Reson Imaging. 2008. PMID: 18777531

3

Apparent diffusion coefficient: prostate cancer versus noncancerous tissue according to anatomical region.

Kim JH, Kim JK, Park BW, Kim N, Cho KS. Kim JH, et al. Among authors: cho ks. J Magn Reson Imaging. 2008 Nov;28(5):1173-9. doi: 10.1002/jmri.21513. J Magn Reson Imaging. 2008. PMID: 18837000

4

Relative apparent diffusion coefficient: determination of reference site and validation of benefit for detecting metastatic lymph nodes in uterine cervical cancer.

Park SO, Kim JK, Kim KA, Park BW, Kim N, Cho G, Choi HJ, Cho KS. Park SO, et al. Among authors: cho ks, cho g. J Magn Reson Imaging. 2009 Feb;29(2):383-90. doi: 10.1002/jmri.21635. J Magn Reson Imaging. 2009. PMID: 19161191

5

Node-by-node correlation between MR and PET/CT in patients with uterine cervical cancer: diffusion-weighted imaging versus size-based criteria on T2WI.

Choi EK, Kim JK, Choi HJ, Park SH, Park BW, Kim N, Kim JS, Im KC, Cho G, Cho KS. Choi EK, et al. Among authors: cho ks, cho g. Eur Radiol. 2009 Aug;19(8):2024-32. doi: 10.1007/s00330-009-1350-5. Epub 2009 Mar 11. Eur Radiol. 2009. PMID: 19277675

6

Malignant renal cysts: diagnostic performance and strong predictors at MDCT.

Kim DY, Kim JK, Min GE, Ahn HJ, Cho KS. Kim DY, et al. Among authors: cho ks. Acta Radiol. 2010 Jun;51(5):590-8. doi: 10.3109/02841851003641826. Acta Radiol. 2010. PMID: 20350248

7

Value of T2-weighted MR imaging in differentiating low-fat renal angiomyolipomas from other renal tumors.

Choi HJ, Kim JK, Ahn H, Kim CS, Kim MH, Cho KS. Choi HJ, et al. Among authors: cho ks. Acta Radiol. 2011 Apr 1;52(3):349-53. doi: 10.1258/ar.2010.090491. Epub 2011 Mar 3. Acta Radiol. 2011. PMID: 21498374

8

Prostate cancer detection on dynamic contrast-enhanced MRI: computer-aided diagnosis versus single perfusion parameter maps.

Sung YS, Kwon HJ, Park BW, Cho G, Lee CK, Cho KS, Kim JK. Sung YS, et al. Among authors: cho ks, cho g. AJR Am J Roentgenol. 2011 Nov;197(5):1122-9. doi: 10.2214/AJR.10.6062. AJR Am J Roentgenol. 2011. PMID: 22021504

9

Radiologic-pathologic correlation of renal cell carcinoma associated with Xp11.2 translocation.

Koo HJ, Choi HJ, Kim MH, Cho KS. Koo HJ, et al. Among authors: cho ks. Acta Radiol. 2013 Sep;54(7):827-34. doi: 10.1177/0284185113484019. Epub 2013 May 9. Acta Radiol. 2013. PMID: 23761541

10

MDCT-based scoring system for differentiating angiomyolipoma with minimal fat from renal cell carcinoma.

Kim MH, Lee J, Cho G, Cho KS, Kim J, Kim JK. Kim MH, et al. Among authors: cho ks, cho g. Acta Radiol. 2013 Dec;54(10):1201-9. doi: 10.1177/0284185113491087. Epub 2013 Jul 17. Acta Radiol. 2013. PMID: 23864062

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