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Dive into the research topics where Hong-Yan Wang is active.

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Featured researches published by Hong-Yan Wang.


European Journal of Radiology | 2012

Differentiation of benign and malignant breast lesions: a comparison between automatically generated breast volume scans and handheld ultrasound examinations.

Hong-Yan Wang; Yuxin Jiang; Qing-Li Zhu; Jing Zhang; Qing Dai; He Liu; Xingjian Lai; Qiang Sun

OBJECTIVE To assess the diagnostic value of automated breast volume scanning (ABVS) or conventional handheld ultrasonography (HHUS) for the differentiation of benign and malignant breast lesions. MATERIALS AND METHODS The study prospectively evaluated 239 lesions in 213 women who were scheduled for open biopsy. The patients underwent ABVS and conventional HHUS. The sensitivity, specificity, accuracy, false positive rate, false negative rate, and positive and negative predictive values for HHUS and ABVS images were calculated using histopathological examination as the gold standard. Additionally, diagnostic accuracy was further evaluated according to the size of the masses. RESULTS Among the 239 breast lesions studied, pathology revealed 85 (35.6%) malignant lesions and 154 (64.4%) benign lesions. ABVS was similar to HHUS in terms of sensitivity (95.3% vs. 90.6%), specificity (80.5% vs. 82.5%), accuracy (85.8% vs. 85.3%), positive predictive value (73.0% vs. 74.0%), and negative predictive value (93.3% vs. 94.1%). The area under the receiver operating characteristic (ROC) curve, which is used to estimate the accuracy of the methods, demonstrated only minor differences between HHUS and ABVS (0.928 and 0.948, respectively). CONCLUSIONS The diagnostic accuracy of HHUS and ABVS in differentiating benign from malignant breast lesions is almost identical. However, ABVS can offer new diagnostic information. ABVS may help to distinguish between real lesions and inhomogeneous areas, find small lesions, and demonstrate the presence of intraductal lesions. This technique is feasible for clinical applications and is a promising new technique in breast imaging.


European Journal of Radiology | 2012

Interobserver agreement for sonograms of breast lesions obtained by an automated breast volume scanner

Jing Zhang; Xingjian Lai; Qing-Li Zhu; Hong-Yan Wang; Yuxin Jiang; He Liu; Qing Dai; Shanshan You; Mengsu Xiao; Qiang Sun

OBJECTIVE To evaluate the interobserver agreement of radiologists in the description and final assessment of breast sonograms obtained using an automated breast volume scanner (ABVS) using a unique descriptor of three-dimensional ultrasound (3D US) and the Breast Imaging Reporting and Data System (BI-RADS) US lexicon. METHODS From October to December 2010, 208 patients were subjected to an ABVS examination in the supine position, and data were automatically sent to the ABVS workstation. Two radiologists independently evaluated 234 breast masses (148 benign and 86 malignant masses) using a unique descriptor from the 3D US and the BI-RADS US lexicon. The reviewers were blinded to the patients mammographic images, medical history, and pathologic findings. The interobserver agreement was measured using kappa statistics. RESULTS Substantial agreement was obtained for lesion shape, orientation, margin, echo pattern, posterior acoustic features, calcification and final assessment (κ=0.79, 0.74, 0.76, 0.69, 0.68, 0.71 and 0.70, respectively). Fair agreement was obtained for retraction phenomenon and lesion boundary (κ=0.54 and 0.42, respectively). CONCLUSIONS The interobserver agreement for breast sonograms obtained by ABVS is good, especially for lesion shape and margin; however, the interobserver agreement for the retraction phenomenon, which is a unique descriptor of coronal-plane 3D US, needs to be improved.


Ultrasound in Medicine and Biology | 2013

Accuracy of an Automated Breast Volume Ultrasound System for Assessment of the Pre-operative Extent of Pure Ductal Carcinoma In Situ: Comparison with a Conventional Handheld Ultrasound Examination

Na Li; Yuxin Jiang; Qing-Li Zhu; Jing Zhang; Qing Dai; He Liu; Qian Yang; Hong-Yan Wang; Xingjian Lai; Qiang Sun

The goal of the study described here was to compare the accuracy of an automated breast volume scanner (ABVS) with that of hand-held ultrasound (HHUS) in assessing the pre-operative extent of pure ductal carcinoma in situ (DCIS). This prospective study consisted of 33 patients with histopathologically proven pure DCIS who received conventional HHUS and ABVS examinations. The discrepancy and correlation coefficients were calculated to assess differences in sizes determined by imaging and histopathologic examination. Mean age was 51.8 y. Mean lesion size as assessed with the ABVS did not differ significantly from that determined by histopathology. Lesion size was adequately estimated, under-estimated or over-estimated with the ABVS in 64%, 15% and 21% of patients, and with HHUS in 42%, 15% and 42%, respectively (p < 0.05). The coefficient of correlation between histopathologic and ABVS measurements was higher than that between histopathologic and HHUS measurements. The ABVS appears to assess the extent of the lesion better than HHUS and can provide more accurate information pre-operatively.


Academic Radiology | 2015

Diffuse Optical Tomography of Breast Carcinoma : Can Tumor Total Hemoglobin Concentration be Considered as a New Promising Prognostic Parameter of Breast Carcinoma?

Mengsu Xiao; Yuxin Jiang; Qing-Li Zhu; Shanshan You; Jianchu Li; Hong-Yan Wang; Xingjian Lai; Jing Zhang; He Liu

RATIONALE AND OBJECTIVES Diffuse optical tomography (DOT) is an emerging functional modality, which can reflect tumor metabolic activity and angiogenesis. The purpose of this exploratory study was to correlate the total hemoglobin concentration (THC) measured by noninvasive DOT with prognostic factors in breast carcinomas. MATERIALS AND METHODS We prospectively imaged 251 breast carcinomas in 229 consecutive women (mean age, 51.18 ± 12.32 years) using DOT from 2007 to 2010. Tumor angiogenesis and metabolic activity were assessed based on quantitatively measured THC. The THC was correlated with prognostic factors, including tumor size, histopathologic classification, histologic grade, estrogen receptor (ER), progesterone receptor (PR), c-erbB-2, and p53. RESULTS In univariate analysis, THC was significantly correlated with the following prognostic factors: tumor size (P < .001), histologic grade (P < .001), ER (P < .05), PR (P < .001), and c-erbB-2 (P < .05). THC was not associated with histopathologic classification (P = .170) or p53 (P = .463). On the basis of a stepwise multiple regression analysis, THC of invasive ductal carcinoma was significantly correlated with tumor size (P < .001), histologic grade (P < .001), and PR (P < .05). CONCLUSIONS THC was associated with prognostic factors of breast carcinoma. THC may be considered as a new prognostic parameter of breast carcinoma and a prediction of tumor behavior and biological activity.


Clinical Rheumatology | 2013

Polyarteritis nodosa with multiple aneurysms and renal arteriovenous fistula successfully diagnosed by colour Doppler sonography

Hong-Yan Wang; Jianchu Li; Yuxin Jiang; Qing Dai; Ying Jiang; Yong Hou; XiaoGuang Li

Polyarteritis nodosa (PAN) is a vasculitis that typically affects small- and middle-sized arteries of multiple organs. The kidney is most commonly involved. To date, few cases of PAN involving the celiac artery and no cases of iliac artery or internal carotid artery involvement have been published. The most frequent lesions reported were due to occlusions and aneurysms. Finally, no cases of PAN causing arteriovenous fistula have been reported. Here we present a case of PAN with multiple aneurysms and renal arteriovenous fistula that was successfully diagnosed and followed-up by ultrasound. This case report describes the challenges in diagnosing PAN and highlights the importance of a holistic approach when encountering patients with multiple vascular diseases. Ultrasound should be considered the first-line approach in the diagnosis of PAN.


Clinical Breast Cancer | 2012

A hidden breast lump covered by nipple appendices in a patient with von recklinghausen disease: a case report and review of the literature.

Yidong Zhou; Bo Pan; Feng Mao; Qing-Li Zhu; Zhen Huo; Hong-Yan Wang; Feng Cai; Zhiyong Liang; Changjun Wang; Yanna Zhang; Qiang Sun

Introduction It is well established that patients with von Recklinghausen disease, also called neurofibromatosis type 1 (NF1), have an increased Clinical Pra What is already known about this subject? ● Neurofibromatosis type 1 (NF1) increases the chance of breast cancer developing and belongs to a high-risk population for early screening. ● The diagnosis of breast cancer in patients with NF1 is usually delayed because the patient mistakenly identifies the breast lump as neurofibroma. ● Appendices on the nipple of patients with NF1 are neurofibromas in contrast to simple hyperplasia. ● The diagnosis of breast cancer in patients with NF1 is difficult, and most cases are diagnosed at an advanced stage. ● Chinese women are younger and have denser and smaller breasts when breast cancer develops than is true of their Western counterparts, and ultrasonography might be a better screening imaging test in China. What are the new findings? ● The nipples of patients with NF1 can be remarkably enlarged because of multiple neurofibroma appendi-


Journal of Ultrasound in Medicine | 2015

Local Recurrent Phyllodes Tumors of the Breast Clinical and Sonographic Features

Mengsu Xiao; Qing-Li Zhu; Yuxin Jiang; Jianchu Li; Hong-Yan Wang; Jing Zhang; Shanshan You; He Liu

The purpose of this study was to investigate the clinical, pathologic, and sonographic features of local recurrent phyllodes tumors of the breast and provide evidence for diagnosing tumor recurrence.


Journal of Ultrasound in Medicine | 2017

Role of Superb Micro‐Vascular Imaging in the Preoperative Evaluation of Thyroid Nodules: Comparison With Power Doppler Flow Imaging

Jing Kong; Jianchu Li; Hong-Yan Wang; Ya‐hong Wang; Rui‐na Zhao; Ying Zhang; Jin Jin

To evaluate whether Superb Micro‐Vascular Imaging (SMI; Toshiba Medical Systems Corporation, Tochigi, Japan) is superior to power Doppler flow imaging (PDFI) in depicting thyroid nodular vascularity and to primarily explore the diagnostic performance of vascularity on SMI integrated with grayscale sonographic features for diagnosis of malignant thyroid nodules.


Ultrasound in Medicine and Biology | 2016

Automated Breast Volume Scanning: Identifying 3-D Coronal Plane Imaging Features May Help Categorize Complex Cysts

Hong-Yan Wang; Yuxin Jiang; Qing-Li Zhu; Jing Zhang; Mengsu Xiao; He Liu; Qing Dai; Jianchu Li; Qiang Sun

The study described here sought to identify specific ultrasound (US) automated breast volume scanning (ABVS) features that distinguish benign from malignant lesions. Medical records of 750 patients with 792 breast lesions were retrospectively reviewed. Of the 750 patients, 101 with 122 cystic lesions were included in this study, and the results ABVS results were compared with biopsy pathology results. These lesions were classified into six categories based on ABVS sonographic features: type I = simple cyst; type II = clustered cyst; type III = cystic masses with thin septa; type IV = complex cyst; type V = predominantly cystic masses; and type VI = predominantly solid masses. Comparisons were conducted between the ABVS coronal plane features of the lesions and histopathology results, and the positive predictive value (PPV) was calculated for each feature. Of the 122 lesions, 90 (73.8%) were classified as benign, and 32 (26.2%) were classified as malignant. The sensitivity, specificity and accuracy associated with ABVS features for cystic lesions were 78.1%, 74.4% and 75.4%, respectively. The 11 cases (8.9%) of type I-IV cysts were all benign. Of the 22 (18.0%) type V cysts, 16 (13.1%) were benign and 6 (4.9%) were malignant. Of the 89 (72.9%) type VI cysts, 63 (51.7%) were benign and 26 (21.3%) were malignant. The typical symptoms of malignancy on ABVS include retraction (PPV = 100%, p < 0.05), hyper-echoic halos (PPV = 85.7%, p < 0.05), microcalcification (PPV = 66.7%, p < 0.05), thick walls or thick septa (PPV = 62.5%, p < 0.05), irregular shape (PPV: 51.2%, p < 0.05), indistinct margin (PPV: 48.6%, p < 0.05) and predominantly solid masses with eccentric cystic foci (PPV = 46.8%, p < 0.05). ABVS can reveal sonographic features of the lesions along the coronal plane, which may be of benefit in the detection of malignant, predominantly cystic masses and provide high clinical values.


Oncotarget | 2015

Risk associated with central catheters for malignant tumor patients: a systematic review and meta-analysis

Yajuan Lv; Yong Hou; Bo Pan; Yuwan Ma; Paiyun Li; Lili Yu; Deguo Xu; Juanjuan Song; Heli Shang; Hong-Yan Wang; Yuan Tian

The risk of venous thrombosis and mortality associated with central catheter (PICC/CICC) for malignant tumor patients is not definite. So, we carried out a systematic review and meta-analysis to evaluate it. Among patients with comparing PICC with CICC, odds ratio (OR) or risk ratio (RR) was calculated with a random effect model meta-analysis. The result of the stratification analysis of 7 studies (PICC vs CICC) supported the theory that CICCs were associated with a decrease in the odds ratio of thrombosis compared with PICCs. 7 of 15 studies provided the information about the compared mortality rate of the patients. The result showed that CICCs were associated with a decrease in the odds ratio of thrombosis compared with PICCs (OR = 0.45, 95% CI:0.32–0.62, p < 0.0001, I2 = 0%,Tau2 = 0.00). Meta-analysis of 8 studies of 2639 patients showed that pharmacological deep vein thrombosis prophylaxis drugs could decrease the risk of mortality of malignant tumor patients with CICCs (RR = 0.58, 95% CI:0.48–0.71, Z = 5.32, p < 0.0001, I2 = 71%). We found that PICCs are associated with a raised risk of deep vein thrombosis, and pharmacological deep vein thrombosis prophylaxis drugs is a beneficial factor in decreasing the incidence of thrombosis, while warfarin may decrease the risk of mortality of malignant tumor patients with CICCs.

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Qing-Li Zhu

Peking Union Medical College Hospital

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Jing Zhang

Peking Union Medical College Hospital

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Yuxin Jiang

Peking Union Medical College Hospital

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He Liu

Peking Union Medical College Hospital

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Qing Dai

Peking Union Medical College Hospital

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Xingjian Lai

Peking Union Medical College Hospital

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Jianchu Li

Peking Union Medical College Hospital

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Mengsu Xiao

Peking Union Medical College Hospital

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Qiang Sun

Peking Union Medical College Hospital

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Shanshan You

Peking Union Medical College Hospital

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