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Hyeon Sook Kim

Researcher at Catholic University of Korea

Publications -  29
Citations -  778

Hyeon Sook Kim is an academic researcher from Catholic University of Korea. The author has contributed to research in topics: Breast cancer & Breast MRI. The author has an hindex of 11, co-authored 28 publications receiving 697 citations.

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Diffusion‐weighted imaging of breast cancer: Correlation of the apparent diffusion coefficient value with prognostic factors

TL;DR: To evaluate the role of diffusion‐weighted imaging (DWI) in the detection of breast cancers, and to correlate the apparent diffusion coefficient (ADC) value with prognostic factors, a large number of patients with known breast cancers are treated with WI.
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Pregnancy- and lactation-associated breast cancer: mammographic and sonographic findings.

TL;DR: Although a mass could not be discernible by mammography because of increased radiodensity during pregnancy or lactation, calcification, asymmetric density, axillary lymphadenopathy, and skin and trabecular thickening were helpful for diagnosis of pregnancy‐associated breast cancer.
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Correlation of the apparent diffusion coefficient value and dynamic magnetic resonance imaging findings with prognostic factors in invasive ductal carcinoma.

TL;DR: To evaluate the correlation of the mean and minimal apparent diffusion coefficient values (ADCmean, ADCminimal) and dynamic magnetic resonance imaging (MRI) findings with prognostic factors in invasive ductal carcinoma, an apples-to- apples comparison is considered.
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Observer agreement using the ACR Breast Imaging Reporting and Data System (BI-RADS)-ultrasound, First Edition (2003).

TL;DR: Although BI-RADS-US was created to achieve a consensus among radiologists when describing breast abnormalities, this study shows substantial intraob server agreement but only moderate interobserver agreement in the mass description and final assessment of breast abnormalities according to its use.
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Thoracic manifestations of breast cancer and its therapy.

TL;DR: Familiarity with the spectrum of radiologic findings in breast cancer patients allows accurate image interpretation and correct diagnosis, and more sensitive ultrasound and computed tomography for detecting local and regional recurrence.