Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility

Zhou Qing-Qing,Wang Jiashuo,Tang Wen,Hu Zhang-Chun,Xia Zi-Yi,Xue-Song Li,Zhang Rongguo,Yin Xindao,Zhang Bing,Zhang Hong 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.7

Objective: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images. Materials and Methods: This study included 1079 patients (median age, 55 years; men, 718) from three hospitals, between January 2011 and January 2019, who were divided into a monocentric training set (n = 876; median age, 55 years; men, 582), five multicenter/multiparameter validation sets (n = 173; median age, 59 years; men, 118) with different slice thicknesses and image pixels, and a normal control set (n = 30; median age, 53 years; men, 18). Three classifications (fresh, healing, and old fracture) combined with fracture location (corresponding CT layers) were detected automatically and delivered in a structured report. Precision, recall, and F1-score were selected as metrics to measure the optimum CNN model. Detection/diagnosis time, precision, and sensitivity were employed to compare the diagnostic efficiency of the structured report and that of experienced radiologists. Results: A total of 25054 annotations (fresh fracture, 10089; healing fracture, 10922; old fracture, 4043) were labelled for training (18584) and validation (6470). The detection efficiency was higher for fresh fractures and healing fractures than for old fractures (F1-scores, 0.849, 0.856, 0.770, respectively, p = 0.023 for each), and the robustness of the model was good in the five multicenter/multiparameter validation sets (all mean F1-scores > 0.8 except validation set 5 [512 x 512 pixels; F1-score = 0.757]). The precision of the five radiologists improved from 80.3% to 91.1%, and the sensitivity increased from 62.4% to 86.3% with artificial intelligence-assisted diagnosis. On average, the diagnosis time of the radiologists was reduced by 73.9 seconds. Conclusion: Our CNN model for automatic rib fracture detection could assist radiologists in improving diagnostic efficiency, reducing diagnosis time and radiologists’ workload.

Overview of aristolochic acid nephropathy: an update

Zhou Qing-Qing,Jiang Lei,Tao Su,Gang Liu,Yang Liu 대한신장학회 2023 Kidney Research and Clinical Practice Vol.42 No.5

Aristolochic acid nephropathy (AAN) is a rapidly progressive renal interstitial fibrosis caused by medical or environmental exposure to aristolochic acid (AA). Since the outbreak of AAN in Belgium was reported nearly 30 years ago, the safety of herbal remedies has drawn considerable attention, and AAN has become a global public health problem. Breakthroughs have been made to better understand the disease, including the toxicity of AAs, the possible mechanisms of AAN, the disease patterns, and the pathological features; however, some critical problems remain unresolved. Because of the insidious onset of the disease, the incidence of AAN and the prevalence of exposure to AAs are unknown and might be largely underestimated. During the past decades, AA-containing herbs have been strictly administrated in many regions and the occurrence of AAN has declined sharply, yet cases of AAN are still sporadically reported. Despite the progress in the understanding of the disease’s pathogenesis, there is no effective treatment for delaying or reversing the renal deterioration caused by AAN. Therefore, the risk of exposure to AAs should be taken seriously by public health workers and clinicians. In this review, we updated the latest data on AAN, summarized the advances throughout these years, and put forward some challenges for future research.

Comparative Study between ZOOMit and Conventional Intravoxel Incoherent Motion MRI for Assessing Parotid Gland Abnormalities in Patients with Early- or Mid-Stage Sjögren’s Syndrome

Zhou Qing-Qing,Zhang Wei,Yu Yu-Sheng,Li Hong-Yan,Wei Liang,Li Xue-Song,He Zhen-Zhen,Zhang Hong 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.4

Objective: To compare the reproducibility and performance of quantitative metrics between ZOOMit and conventional intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) in the diagnosis of early- and mid-stage Sjögren’s syndrome (SS). Materials and Methods: Twenty-two patients (mean age ± standard deviation, 52.0 ± 10.8 years; male:female, 2:20) with early- or mid-stage SS and 20 healthy controls (46.9 ± 14.6 years; male:female, 7:13) were prospectively enrolled in our study. ZOOMit IVIM and conventional IVIM MRI were performed simultaneously in all individuals using a 3T scanner. Quantitative IVIM parameters - including tissue diffusivity (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) - inter- and intra-observer reproducibility in measuring these parameters, and their ability to distinguish patients with SS from healthy individuals were assessed and compared between ZOOMit IVIM and conventional IVIM methods, appropriately. MR gland nodular grade (MRG) was also examined. Results: Inter- and intra-observer reproducibility was better with ZOOMit imaging than with conventional IVIM imaging (ZOOMit vs. conventional, intraclass correlation coefficient of 0.897–0.941 vs. 0.667–0.782 for inter-observer reproducibility and 0.891–0.968 vs. 0.814–0.853 for intra-observer reproducibility). Significant differences in ZOOMit f, ZOOMit D*, conventional D*, and MRG between patients with SS and healthy individuals (all p < 0.05) were observed. ZOOMit D* outperformed conventional D* in diagnosing early- and mid-stage SS (area under receiver operating curve, 0.867 and 0.658, respectively; p = 0.002). The combination of ZOOMit D*, MRG, and ZOOMit f as a new diagnostic index for SS, increased diagnostic area under the curve to 0.961, which was higher than that of any single parameter (all p < 0.01). Conclusion: Considering its better reproducibility and performance, ZOOMit IVIM may be preferred over conventional IVIM MRI, and may subsequently improve the ability to diagnose early- and mid-stage SS.

서비스디자인에 기초한 외국 유학생의 대학 생활 실태 사례 연구 -"K"대학을 중심으로-

신계옥(주저자) ( Qing Zhou ),주경(공동저자) ( Qing Zhou ),주우(공동저자) ( Yu Zhou ),녕미형 ( Mei Ying Ning ),무문일 ( Wen Yi Wu ),서신희 ( Chen Xi Xu ) 커뮤니케이션디자인학회 2015 커뮤니케이션 디자인학연구 Vol.52 No.-

본 연구는 서비스 디자인 관점에서 ``K``대학에서 공부하고 있는 외국인 34명의 유학생을 대상으로 서비스디자인의 사고방식과 도구 활용 및 프로세스와 방법을 적용하여 대학 생활에서의 불편 요인을 파악하고 문제점을 도출하고자 하였다. 그 결과 대학 생활에서의 유형, 무형의 불편 요인의 실체를 파악할 수 있었다. 즉, 식당 및 기숙사, 강의실에서의 문제들과 교내외 교통 및 이동 수단, 외국인들을 위한 안내책자의 부재로 인한 대학생활의 불편한 사항들이 파악되었다. 이러한 문제들이 개선되고 해결되어야 ``K`` 대학에서 일정기간동안 유학하는 외국 유학생들이 불편한 점이 없이 교육적 목적을 달성할 수 있으며, 이후에도 미래의 친한인재로 교류의 기틀이 되어 바람직한 미래의 가치가 창출될 수 있다고 생각한다. This paper, from the point of view of the design of services, take advantage of the service design concepts and tools to target foreigners 34 international students who are studying at the University of "K", to apply the process and methods of college life grasps the inconvenience factors in the medium, it is attempted to derive a problem. As a result, it was able to grasp the tangible, intangible of failure factor entities in college life. In other words, transportation and means of transportation outside the school, inconveniences of college life by the absence of a brochure for foreigners and restaurant, dormitory, is a problem in the classroom has been grasped. Basis of these issues are improved at the University of "K" should be resolved foreign students is inconvenient point without having a certain period of time studying abroad, it is possible to achieve the educational purposes, after also exchanges in the future of the close human resources I think that the value of the desired future is created to become.

An Estimation Method of Consolidation and Settlement of Soil Mass in Dredger Fill Area Based on SBAS-InSAR

( Qing-bo Yu ),( Qing Wang ),( Xue-xin Yan ),( Tian-liang Yang ),( Meng Yao ),( Kai Zhou ),( Xin-lei Huang ),( Jian-ping Chen ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2

The land subsidence poses a nonnegligible threat to production and life, especially in dredger fill area. The essence of land subsidence is soil consolidation. Better evaluation of the degree of soil consolidation presents significant progress for predicting land subsidence. In this study, SBAS-InSAR was conducted to Chenjia town, the typical dredger fill area in Chongming East Shoal, Shanghai. SAR data and precise Orbit data were collected from the ESA satellite Sentinel-1 in recent 2 years with approximately one month intervals. the relationship curve of cumulative subsidence with time is obtained after processing. On this basis, the final settlement and soil consolidation can be estimated by applying the method proposed by Professor Huang Wenxi of China. The results show that: The subsidence rate is faster than 20 mm/a; The estimated final settlement is 26.6-52.9 mm, and the corresponding consolidation degree is 54.6 % on average; Soil mass has not yet been fully consolidated and it still takes a long time to achieve stability. In conclusion, the method proposed in this study can provide a clearer understanding of the consolidation degree, and a new reference for the evaluation and prevention of land subsidence. Future research will focus on longer monitoring time to enrich and improve the method. Acknowledgements This work was financially supported by National Nature Science Foundation of China (Grant No: 41820104001, 41430642 and 41627801) and the Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources (Grant No. KLLSMP201801).

The Application of Fractional Brownian Motion in Option Pricing

Qing-xin Zhou 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1

In this text, Fractional Brown Motion theory during random process is applied to research the option pricing problem. Firstly, Fractional Brown Motion theory and actuarial pricing method of option are utilized to derive Black-Scholes formula under Fractional Brown Motion and form corresponding mathematical model to describe option pricing. Secondly, based on BYD stock, estimation model on volatility of this stock is given to analyze and calculate the stock price volatility. Finally, make instance analysis for BYD’s option. Based on market data of BYD’s stock and option, calculate the actual option price and theoretical price of BYD by Black-Scholes formula under Fractional Brown Motion. Compare the forecast price of this stock option given by model with actual price, relatively good effect is obtained, and then conclude that the model has relatively strong applicability.

Blockchain-based Lightweight Authentication Mechanism in Microgrid Networks with Resource-constrained Devices

Qing Zhou,Young-Seok Lee,In-ho Ra 한국콘텐츠학회 2018 한국콘텐츠학회 ICCC 논문집 Vol.2018 No.12

Flavonoid Glycosides and Potential Antivirus Activity of Isolated Compounds from the Leaves of Eucalyptus citriodora

Zhou, Zhong-Liu,Yin, Wen-Qing,Zou, Xiao-Peng,Huang, Dan-Ying,Zhou, Cui-Liu,Li, Lian-Mei,Chen, Ke-Cheng,Guo, Zi-Ying,Lin, San-Qing 한국응용생명화학회 2014 Applied Biological Chemistry (Appl Biol Chem) Vol.57 No.6

The extraction and solvent partition of the leaves of Eucalyptus citriodora, and repeated column chromatography for n-BuOH fraction yielded a new flavonoid glycoside, citrioside C (1), along with three known flavonoid glycosides (2-4). The latter were identified with kaempferol-3-O-${\beta}$-$\small{D}$-glucopyranosyl (12)-${\alpha}$-$\small{L}$-rhamnoside (2), kaempferol-3-O-${\alpha}$-$\small{L}$-rhamnoside (3), and quercetin-3-O-${\alpha}$-$\small{L}$-rhamnoside (4). Their chemical structures were identified on the basis of spectroscopic data analyses including NMR, MS, UV, and IR. All constitutents were isolated for the first time from the leaves of Eucalyptus citriodora. The potential antivirus activity of all the isolated compounds was evaluated. Compound 4 showed potent antiviral activity against respiratory syncytial virus with 50% inhibition concentration ($IC_{50}$) value of $1.9{\mu}g/mL$ and selective index value of 9.8.

Probing Three-Dimensional Single-Molecule Rotational Diffusion in Polymer

Qing Zhou 한국물리학회 2005 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.47 No.1

Three-dimensional orientational motion of many single molecules within polymethylacrylate (PMA) is studied. The emission dipole orientations of single fluorescent molecules at each time are determined by direct imaging of the emission patterns in the back focal plane of a high-numericalaperture objective lens and fitting them by a pattern-recognition algorithm. As a result, the single molecule orientational method can directly probe the spatial heterogeneities of polymer.

Improved Method for Calculating Magnetic Field of Surface-Mounted Permanent Magnet Machines Accounting for Slots and Eccentric Magnet Pole

Zhou, Yu,Li, Huaishu,Wang, Wei,Cao, Qing,Zhou, Shi The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.3

This paper presented an improved analytical method for calculating the open-circuit magnetic field in the surface-mounted permanent magnet machines accounting for slots and eccentric magnet pole. Magnetic field produced by radial and parallel permanent magnet is equivalent to that produced by surface current according to equivalent surface-current method of permanent magnet. The model is divided into two types of subdomains. The field solution of each subdomain is obtained by applying the interface and boundary conditions. The magnet field produced by equivalent surface current is superposed according to superposition principle of vector potential. The investigation shows harmonic contents of radial flux density can be reduced a lot by changing eccentric distance of eccentric magnet poles compared with conventional surface-mounted permanent-magnet machines with concentric magnet poles. The FE(finite element) results confirm the validity of the analytical results with the proposed model.