Kim W - Search Results

1

Spread through air spaces (STAS) in invasive mucinous adenocarcinoma of the lung: Incidence, prognostic impact, and prediction based on clinicoradiologic factors.

Lee MA, Kang J, Lee HY, Kim W, Shon I, Hwang NY, Kim HK, Choi YS, Kim J, Zo JI, Shim YM. Lee MA, et al. Among authors: kim w, kim hk, kim j. Thorac Cancer. 2020 Nov;11(11):3145-3154. doi: 10.1111/1759-7714.13632. Epub 2020 Sep 25. Thorac Cancer. 2020. PMID: 32975379 Free PMC article.

2

Dynamic prognostication using conditional survival analysis for patients with operable lung adenocarcinoma.

Kim W, Lee HY, Jung SH, Woo MA, Kim HK, Choi YS, Kim J, Zo JI, Shim YM, Han J, Jeong JY, Choi JY, Lee KS. Kim W, et al. Among authors: kim hk, kim j. Oncotarget. 2017 May 9;8(19):32201-32211. doi: 10.18632/oncotarget.12920. Oncotarget. 2017. PMID: 27793026 Free PMC article.

3

Prognosis for Pneumonic-Type Invasive Mucinous Adenocarcinoma in a Single Lobe on CT: Is It Reasonable to Designate It as Clinical T3?

Kim W, Lee SM, Lee JB, Seo JB, Kim HK, Kim J, Lee HY. Kim W, et al. Among authors: kim hk, kim j. Korean J Radiol. 2022 Mar;23(3):370-380. doi: 10.3348/kjr.2021.0465. Korean J Radiol. 2022. PMID: 35213098 Free PMC article.

4

CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma.

Choe J, Lee SM, Kim W, Do KH, Kim S, Choi S, Seo JB. Choe J, et al. Among authors: kim w, kim s. Eur J Radiol. 2021 Jun;139:109710. doi: 10.1016/j.ejrad.2021.109710. Epub 2021 Apr 8. Eur J Radiol. 2021. PMID: 33862316

5

Performance of radiomics models for survival prediction in non-small-cell lung cancer: influence of CT slice thickness.

Park S, Lee SM, Kim S, Choi S, Kim W, Do KH, Seo JB. Park S, et al. Among authors: kim w, kim s. Eur Radiol. 2021 May;31(5):2856-2865. doi: 10.1007/s00330-020-07423-2. Epub 2020 Oct 30. Eur Radiol. 2021. PMID: 33128185

6

Deep learning-based differentiation of invasive adenocarcinomas from preinvasive or minimally invasive lesions among pulmonary subsolid nodules.

Park S, Park G, Lee SM, Kim W, Park H, Jung K, Seo JB. Park S, et al. Among authors: kim w. Eur Radiol. 2021 Aug;31(8):6239-6247. doi: 10.1007/s00330-020-07620-z. Epub 2021 Feb 8. Eur Radiol. 2021. PMID: 33555355

7

CT and microbiologic follow-up in primary multidrug-resistant pulmonary tuberculosis.

Kim W, Lee KS, Kim HS, Koh WJ, Jeong BH, Chung MJ, Jang HW. Kim W, et al. Among authors: kim hs. Acta Radiol. 2016 Feb;57(2):197-204. doi: 10.1177/0284185115575196. Epub 2015 Mar 9. Acta Radiol. 2016. PMID: 25759483

8

Use of a Commercially Available Deep Learning Algorithm to Measure the Solid Portions of Lung Cancer Manifesting as Subsolid Lesions at CT: Comparisons with Radiologists and Invasive Component Size at Pathologic Examination.

Ahn Y, Lee SM, Noh HN, Kim W, Choe J, Do KH, Seo JB. Ahn Y, et al. Among authors: kim w. Radiology. 2021 Apr;299(1):202-210. doi: 10.1148/radiol.2021202803. Epub 2021 Feb 2. Radiology. 2021. PMID: 33529136

9

Effectiveness of radiologist training in improving reader agreement for Lung-RADS 4X categorization.

Kim H, Goo JM, Kim TJ, Kim HY, Gu G, Gil B, Kim W, Park SY, Park J, Park J, Park H, Song W, Shin KE, Oh J, Yoon SH, Lee S, Lee Y, Lim WH, Jeong WG, Jung JI, Cha MJ, Choi S, In Choi H, Ham SY, Kim Y. Kim H, et al. Among authors: kim hy, kim w, kim tj, kim y. Eur Radiol. 2021 Nov;31(11):8147-8159. doi: 10.1007/s00330-021-07990-y. Epub 2021 Apr 21. Eur Radiol. 2021. PMID: 33884472

10

Differentiating pulmonary metastasis from benign lung nodules in thyroid cancer patients using dual-energy CT parameters.

Ha T, Kim W, Cha J, Lee YH, Seo HS, Park SY, Kim NH, Hwang SH, Yong HS, Oh YW, Kang EY, Kim C. Ha T, et al. Among authors: kim w, kim c, kim nh. Eur Radiol. 2022 Mar;32(3):1902-1911. doi: 10.1007/s00330-021-08278-x. Epub 2021 Sep 25. Eur Radiol. 2022. PMID: 34564746

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