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Dive into the research topics where Yeong Yi An is active.

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Featured researches published by Yeong Yi An.


Magnetic Resonance Imaging | 2015

Enhancement parameters on dynamic contrast enhanced breast MRI: do they correlate with prognostic factors and subtypes of breast cancers?

Ji Youn Kim; Sung Hun Kim; Y. Kim; Bong Joo Kang; Yeong Yi An; A. Won Lee; Byung Joo Song; Yong Soo Park; Han Bi Lee

OBJECTIVE To correlate the enhancement parameters of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with prognostic factors and immunohistochemical subtypes of breast cancer. MATERIAL AND METHODS A total of 81 breast carcinomas were included in our study. We obtained the following enhancement parameters: 1) analysis of background parenchymal enhancement (BPE) and BPE coefficients (BEC) from bilateral breasts, 2) the number of vessels per breast as a representation of ipsilateral whole-breast vascularity. Additionally, in 50 patients, 3) semiquantitative parameters of tumors (the initial enhancement percentage (E1), the peak enhancement percentage (Epeak), the time to peak enhancement (TTP), the signal enhancement ratio (SER)) and 4) perfusion parameters (K(trans), kep, ve and iAUC) from tumors and ipsilateral breasts were also obtained. Correlations among parameters and prognostic factors, including tumor size, axillary node status, nuclear grade, histologic grade, estrogen receptor (ER) expression, progesterone receptor (PR) expression, Ki-67, human epidermal growth factor receptor 2 (HER-2) expression, epidermal growth factor receptor (EGFR) expression, bcl-2, CK5/6 and subtypes categorized as luminal (ER or PR positive), triple negative (ER or PR negative, HER-2 negative) and HER2 (ER and PR negative with HER-2 overexpression) were analyzed. RESULTS BPE was significantly correlated with EGFR expression (p=0.040). BEC was significantly higher in tumors larger than 2cm than in tumors smaller than 2cm (p=0.001). The vessel numbers in ipsilateral breasts were higher in tumors larger than 2cm than in tumors smaller than 2cm (p=0.034), with higher nuclear grades (grade 3) than with lower nuclear grades (grade 1,2) (p=0.001) and with PR-negative rather than with PR-positive (p=0.010) results. The mean K(trans) was higher in Ki-67-positive tumors than Ki-67 negative tumors (p=0.002). The mean kep was higher in Ki-67-positive tumors than in Ki-67-negative tumors (p=0.005) and in CK5/6-positive tumors than in CK5/6-negative tumors (p=0.015). The mean K(trans) was lower in the ipsilateral breast parenchyma with HER-2-positive tumors compared to HER-2-negative tumors (p=0.012). CONCLUSION BPE, BEC and ipsilateral whole-breast vascularity, higher K(trans) and kep of the cancer and lower K(trans) and iAUC of ipsilateral breast parenchyma may serve as additional predictors of a poor breast cancer prognosis.


European Journal of Radiology | 2015

The image quality and lesion characterization of breast using automated whole-breast ultrasound: A comparison with handheld ultrasound.

Yeong Yi An; Sung Hun Kim; Bong Joo Kang

OBJECTIVE To prospectively evaluate the image quality of automated whole breast ultrasonography (AWUS) in the characterization of breast lesions compared with handheld breast ultrasonography (HHUS). MATERIALS AND METHODS This prospective study included a total of 411 lesions in 209 women. All patients underwent both HHUS and AWUS prior to biopsy. An evaluation of identical image pairs of 411 lesions obtained from both modalities was performed, and the image quality of AWUS was compared with that of HHUS as a reference standard. The overall image quality was evaluated for lesion coverage, lesion conspicuity, and artifact effect using a graded score. Additionally, the factors that correlated with differences in image quality between the two modalities were analyzed. RESULTS In 97.1%, the image quality of AWUS was identical or superior to that of HHUS, whereas AWUS was inferior in 2.9%. In only 0.5%, the poor quality of AWUS images caused by incomplete lesion coverage and shadowing due to a contact artifact inhibited precise interpretations. The two main causes resulting in degraded AWUS image quality were blurring of the margin (83.3%) and acoustic shadowing by Coopers ligament or improper compression pressure of the transducer (66.7%). Among various factors, peripheral location from the nipple (p=0.01), lesion size (p=0.02), shape descriptor (p=0.02), and final American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) category (p=0.001) were correlated with differences in image quality between AWUS and HHUS. CONCLUSION Although the image quality of AWUS was comparable to that of HHUS for lesion interpretation, HHUS was clearly superior to AWUS for analyzing lesions with a peripheral location, an irregular shape, a non-circumscribed margin and BI-RADS category 4 or 5.


Journal of Korean Medical Science | 2015

Treatment Response Evaluation of Breast Cancer after Neoadjuvant Chemotherapy and Usefulness of the Imaging Parameters of MRI and PET/CT

Yeong Yi An; Sung Hun Kim; Bong Joo Kang; Ahwon Lee

This study was aimed to evaluate the ability of imaging parameters measured on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), diffusion-weighted MRI (DWI) and positron emission tomography/computed tomography (PET/CT) to serve as response markers in breast cancer after neoadjuvant chemotherapy (NAC). In 20 patients with breast cancer, DCE-MRI and DWI using a 3 T scanner and PET/CT were performed before and after NAC. DCE-MRI was analyzed using an automatic computer-aided detection program (MR-CAD). The response imaging parameters were compared with the pathologic response. The areas under the curve (AUCs) for DCE-MRI using MR-CAD analysis, DWI and PET/CT were 0.77, 0.59 and 0.76, respectively. The combination of all parameters measured by MR-CAD showed the highest diagnostic performance and accuracy (AUC = 0.77, accuracy = 90%). The combined use of the parameters of PET/CT with DCE-MRI or DWI showed a trend toward improved specificity and negative predictive value (100%, 100%, accuracy = 87.5%). The use of DCE-MRI using MR-CAD parameters indicated better diagnostic performance in predicting the final pathological response compared with DWI and PET/CT, although no statistically significant difference was observed. The combined use of PET/CT with DCE-MRI or DWI may improve the specificity for predicting a pathological response. Graphical Abstract


Journal of Ultrasound in Medicine | 2015

Comparisons of Positron Emission Tomography/Computed Tomography and Ultrasound Imaging for Detection of Internal Mammary Lymph Node Metastases in Patients With Breast Cancer and Pathologic Correlation by Ultrasound-Guided Biopsy Procedures

Yeong Yi An; Sung Hun Kim; Bong Joo Kang; Ahwon Lee

To compare the diagnostic performance of [18F]fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) and ultrasound imaging (US) with pathologic results obtained by US‐guided biopsy and to evaluate the role of US in detecting internal mammary lymph node (LN) metastases in patients with breast cancer.


PLOS ONE | 2017

Differentiation of malignant and benign breast lesions: Added value of the qualitative analysis of breast lesions on diffusion-weighted imaging (DWI) using readout-segmented echo-planar imaging at 3.0 T

Yeong Yi An; Sung Hun Kim; Bong Joo Kang; Tone F. Bathen

Objective To determine the added value of qualitative analysis as an adjunct to quantitative analysis for the discrimination of benign and malignant lesions in patients with breast cancer using diffusion-weighted imaging (DWI) with readout-segmented echo-planar imaging (rs-EPI). Methods A total of 99 patients with 144 lesions were reviewed from our prospectively collected database. DWI data were obtained using rs-EPI acquired at 3.0 T. The diagnostic performances of DWI in the qualitative, quantitative, and combination analyses were compared with that of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Additionally, the effect of lesion size on the diagnostic performance of the DWI combination analysis was evaluated. Results The strongest indicators of malignancy on DWI were a heterogeneous pattern (P = 0.005) and an apparent diffusion coefficient (ADC) value <1.0 × 10–3 mm2/sec (P = 0.002). The area under the curve (AUC) values for the qualitative analysis, quantitative analysis, and combination analysis on DWI were 0.732 (95% CI, 0.651–0.803), 0.780 (95% CI, 0.703–0.846), and 0.826 (95% CI, 0.754–0.885), respectively (P<0.0001). The AUC for the combination analysis on DWI was superior to that for DCE-MRI alone (0.651, P = 0.003) but inferior to that for DCE-MRI plus the ADC value (0.883, P = 0.03). For the DWI combination analysis, the sensitivity was significantly lower in the size ≤1 cm group than in the size >1 cm group (80% vs. 95.6%, P = 0.034). Conclusions Qualitative analysis of tumor morphology was diagnostically applicable on DWI using rs-EPI. This qualitative analysis adds value to quantitative analyses for lesion characterization in patients with breast cancer.


Korean Journal of Radiology | 2015

Sonography of Invasive Apocrine Carcinoma of the Breast in Five Cases

Kyung-Jin Seo; Yeong Yi An; In Yong Whang; Eun Deok Chang; Bong Joo Kang; Sung Hun Kim; Chang Suk Park; Jeong Soo Kim; Hyunjoo Hong

Objective To evaluate the sonographic features of invasive apocrine carcinoma (IAC) of the breast. Materials and Methods This study included five pathologically proven cases of IAC, and their sonographic features were retrospectively analyzed according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon. Results All five lesions involved the left breast and were seen as irregularly shaped masses. All lesions, except one, had a parallel orientation to the chest wall. All five lesions showed noncircumscribed margins and heterogeneous echotexture; however, they showed various posterior features. One lesion had edema as an associated feature. Sonographic assessments were classified as BI-RADS category 4 in all five cases. Conclusion Invasive apocrine carcinoma sonographic findings are difficult to differentiate from those of invasive ductal carcinoma of no special type.


World Journal of Surgical Oncology | 2017

Residual microcalcifications after neoadjuvant chemotherapy for locally advanced breast cancer: comparison of the accuracies of mammography and MRI in predicting pathological residual tumor

Yeong Yi An; Sung Hun Kim; Bong Joo Kang

BackgroundThe aims of this study were to correlate residual mammographic microcalcifications after neoadjuvant chemotherapy (NAC) with pathological results and to compare the accuracy of mammography (MG) and magnetic resonance imaging (MRI) in predicting the size of residual tumors.MethodsThe imaging findings and pathological results for 29 patients with residual microcalcifications after NAC were reviewed. We compared the agreement of the measured extent of residual microcalcifications based on MG and residual enhancement based on MRI with the residual tumor size based on pathology.ResultsAt final pathology, residual microcalcifications were malignant in 55.2% of cases and benign in 44.8% of cases. In 36% of non-pCR cases, the remaining microcalcifications were benign. Compared with the measurements of residual tumor obtained from pathology, MG showed poor agreement, and MRI showed moderate agreement, for the entire group (concordance correlation coefficient [CCC] = 0.196 vs. 0.566). Regarding the receptor status, the agreement of measurements obtained by MG was superior to that obtained by MRI (CCC = 0.5629, 0.5472 vs. 0.4496, 0.4279) for ER(+) and HER2(−) tumors. In ER(−) tumors, the measurements obtained by MG showed the lowest agreement with the pathological tumor size, which had the highest agreement with those obtained by MRI (CCC = − 0.0162 vs. 0.8584).ConclusionsResidual mammographic microcalcifications after NAC did not correlate with malignancy in 44.8% of cases. Residual microcalcifications on MG were poorly correlated with pathological tumor size, and MRI might be more reliable for predicting residual tumor size after NAC. Tumor receptor status affected the accuracy of both MG and MRI for predicting residual tumor size after NAC.Trial registrationCRIS, KCT0002281; registered 6 April 2015, retrospectively registered


Iranian Journal of Radiology | 2016

Takeaways from Pre-Contrast T1 and T2 Breast Magnetic Resonance Imaging in Women with Recently Diagnosed Breast Cancer

Seung Hee Han; Yeong Yi An; Bong Joo Kang; Sung Hun Kim; Eun Jae Lee

Background Dynamic contrast-enhanced magnetic resonance imaging (DCE - MRI) has been widely used in the management of breast cancer, and its diagnostic value in breast imaging has been demonstrated. There have only been a few reports regarding the usefulness of pre-contrast imaging. Knowledge about clinically significant findings of preoperative, pre-contrast T1 and T2 MR images will allow more accurate decisions regarding patient treatment and management. Objectives The aim of this study was to evaluate the clinically significant findings of preoperative, pre-contrast T1 and T2 MR images in recently diagnosed breast cancer patients. Patients and Methods We analyzed 390 preoperative 3-T MRIs of recently diagnosed breast cancer patients in whom the diagnosis was confirmed by a core needle biopsy. Results MRI findings that were correlated with post-core needle-biopsy changes were observed in 27.9% of the pre-contrast T1 and T2 MRIs (n = 109/390). Two of 35 cases that had a subareolar ductal high signal area on the pre-contrast T1 were confirmed by surgery as having nipple-areolar complex involvement. Conclusion A subareolar ductal high signal area on a pre-contrast T1 MRI must be carefully assessed in combination with dynamic, contrast-enhanced images for proper surgical management.


Korean Journal of Radiology | 2013

The Clinical Utility of a Adding Lateral Approach to Conventional Vertical Approach for Prone Stereotactic Vacuum-Assisted Breast Biopsy

Joo Hwa Myong; Bong Joo Kang; Soo Kyung Yoon; Sung Hun Kim; Yeong Yi An

Objective The purpose of this study is to evaluate the clinical utility of adding lateral approach to conventional vertical approach for prone stereotactic vacuum-assisted breast biopsies. Materials and Methods From April 2010 to May 2012, 130 vacuum-assisted stereotactic biopsies were attempted in 127 patients. While a vertical approach was preferred, a lateral approach was used if the vertical approach failed. The success rate of biopsies utilizing only a vertical approach was compared with that using both vertical and lateral approaches and the breast thickness for both procedures was measured and compared with that for vertical approach. In addition, pathology results were evaluated and the causes of the failed biopsies were analyzed. Results Of the 130 cases, 127 biopsies were performed and 3 biopsies failed. The success rate of the vertical approach was 83.8% (109/130); however, when the lateral approach was also used, the success rate increased to 97.7% (127/130) (p = 0.0004). The mean breast thickness was 2.7 ± 1 cm for the lateral approach and 4 ± 1.2 cm for the vertical approach (p < 0.0001). The histopathologic results in 76 (59.8%) of the biopsies were benign, 23 (18.1%) were high-risk lesions, and 28 (22.0%) were malignant. The causes of biopsy failure were thin breasts (n = 2) and undetected difficult lesion location (n = 1). Conclusion The addition of lateral approach to conventional vertical approach in prone stereotactic vacuum-assisted breast biopsy improved the success rate of stereotactic biopsy, especially in patients with thin breasts.


World Journal of Surgical Oncology | 2014

Who could benefit the most from using a computer-aided detection system in full-field digital mammography?

Na Young Jung; Bong Joo Kang; Hyeon Sook Kim; Eun Suk Cha; Jae Hee Lee; Chang Suk Park; In Young Whang; Sung Hun Kim; Yeong Yi An; Jae Jeong Choi

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Sung Hun Kim

Catholic University of Korea

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Bong Joo Kang

Catholic University of Korea

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Ahwon Lee

Catholic University of Korea

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Byung Joo Song

Catholic University of Korea

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A. Won Lee

Catholic University of Korea

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Chang Suk Park

Catholic University of Korea

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Young Ha Park

Catholic University of Korea

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Byung Gil Choi

Catholic University of Korea

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Eun Deok Chang

Catholic University of Korea

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Eun Jae Lee

Catholic University of Korea

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