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Lan Y.,Huazhong University of Science and Technology | Lan Y.,Nanyang Normal University | Li Z.,Nanyang Normal University | Song X.,Huazhong University of Science and Technology | And 4 more authors.
Acta Medica Mediterranea | Year: 2016

Introduction: Lesion segmentation in mammograms, which affects the subsequent feature extraction and classification, plays a critical step in most of computer-aided detecting and diagnosis (CADx) systems. However, accurate segmentation of suspicious masses from surrounding breast tissues is a challenging and difficult task as lesion boundaries are usually overlapping or touching normal structures, obscured or irregular or low contrast. The aim of this paper is to propose an accurate and robust algorithm for mammographic mass segmentation. Material and methods: In this paper, we present new scheme for accurately segmenting breast lesions in mammograms. To achieve this task, two stages are included in this scheme. In the first, a hyperbolic secant template was applied to locate a rough rectangular region of breast lesions. Then, based on the rough region, C-V (Chan-Vese) model was employed to obtain the contour of the being segmented lesions in this region. 483 regions of interest (ROIs) extracted from 328 patients were taken from a publicly available database, the Digital Database for Screening Mammography (DDSM) and formed as the test data set. Area based and boundary distance based similarity measures based on radiologists' manually marked signs were used to evaluate the performance of the proposed approach and other four algorithms. This paper also provided a comparison between the proposed approach and other four different segmentation algorithms (i.e., Geodesic Active Contours, C-V model, Timp and Karssemeijer's dynamic programming method and marker-controlled watershed segmentation method). Results: Experimental results show that our scheme are better than those of other algorithms, the mean overlap percentage and combined measure were 0.7198 0.1149, 0.8056 0.08 respectively. Form experimental results, we also notice that values for all the measures distribution of the proposed method were. Discussion: Through the comparison, our scheme has better performance to improve the accuracy of lesions segmentation than other four algorithms.


Wan J.,Lianyungang Second Peoples Hospital | Lan Y.,Nanyang Normal University | Zhao R.,Huazhong University of Science and Technology | Wu Y.,First Affiliated Hospital
Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013 | Year: 2013

Mass segmentation is a very important step in most computer-aided diagnosis (CAD) systems for classification of suspicious regions as normal, benign or malignant. Although a lot of algorithms have been proposed for mass segmentation in mammography, accurate segmentation is still a challenge. In this article, a global optimal active contour model was applied to mammography masses segmentation. Variational method was employed to solve it. At last, a lot of experiments were carried out to demonstrate the effeteness of the proposed hybrid method. © 2013 IEEE.


Ruan L.,Wenzhou University | Chen R.,Wenzhou University | Wang R.,Taizhou Institution for Food and Drug Control | Xie X.,Wenzhou University | And 9 more authors.
Metabolic Brain Disease | Year: 2015

The lifetime prevalence rate for major depressive disorder (MDD) is approximately 17 % for most developed countries around the world. Dietary polyphenols are currently used as an adjuvant therapy to accelerate the therapeutic efficacy on depression. Ferulic acid (FA) or 4-hydroxy-3-methoxy-cinnamic acid (Fig. 1a) is a main polyphenolic component of Chinese herb Radix Angelicae Sinensis, which is found to have antidepressant-like effects through regulating serotonergic and noradrenergic function. The present study examined the synergistic effect of low doses of FA combined with subthreshold dose of piperine, a bioavailability enhancer, on depression-like behaviors in mice, and investigated the possible mechanism. The administration of FA, even in the highest dose tested, reduced immobility time by 60 % in the tail suspension and forced swimming tests (TST and FST) in mice when compared to control. The maximal antidepressant-like effect of FA was obtained with 200 mg/kg. In addition, piperine only produced a weak antidepressant-like effect in the TST and FST. However, the evidence from the interaction analysis suggested a synergistic effect when low doses of FA were combined with a subthreshold dose of piperine. Further neurochemical evidence such as monoamine levels in the frontal cortex, hippocampus, and hypothalamus and measurements of monoamine oxidase activity also supported a synergistic effect of FA and piperine in the enhancement of monoaminergic function. This finding supports the concept that the combination strategy might be an alternative therapy in the treatment of psychiatric disorders with high efficacy and low side effects. © 2015, Springer Science+Business Media New York.


PubMed | Jiangsu Province Hospital of TCM, Nantong University, Nanjing Southeast University, Yancheng Third Peoples Hospital and 12 more.
Type: Journal Article | Journal: PloS one | Year: 2016

To identify early signs associated with poor prognosis in Chinese patients with systemic lupus erythematosus (SLE) through a large population-based follow-up study.Medical records of > 2,500 SLE patients that first hospitalized between 1999-2009 were collected from 26 centers across Jiangsu province, China, and entered into a database. These patients were followed-up for 5 to 15 years, and those remained contact and had known survival status in 2015 were assessed for the association of factors presented at the initial hospitalization with mortality at two time points (1year and > 1year). The independency of mortality factors was evaluated using multivariate Cox regression analysis.Among 1,372 patients we assessed, 92.3% were women and 17.2% were deceased in 2015. The main causes of death were infection (30.1%), neuropsychiatric impairment (14.8%), renal failure (14.4%) and cardiopulmonary involvement (8.5%). Hazard ratios (HR) of independent predictors for mortality (1year and > 1year, respectively) included hospital presentation of neuropsychiatric involvement (2.03 and 1.91), cardiopulmonary involvement (1.94 and 1.61) and increased serum creatinine (2.52 and 2.58). Patients older than 45 years and with disease durations more than 2 years at admission had unfavorable short-term outcome (HR 1.76 and 1.79), while the presence of anti-dsDNA and anti-Sm antibodies indicated diverse prognosis after 1 year (HR 1.60 and 0.45). Treatment with cyclophosphamide was beneficial for patients first-year outcome (HR 0.50), and anti-malarial drugs significantly reduced the risk of mortality over different time points (HR 0.48 and 0.54). SLEDAI score, proteinuria or hypocomplementemia was not independently associated with the outcome in this cohort.SLE patients presented with vital organ damages rather than active disease at initial hospitalization are likely to have a poor outcome, especially for those with neuropsychiatric, cardiopulmonary involvements and renal insufficiency. Early and effective intervention with the use of anti-malarial drugs may decrease mortality.


Lan Y.,Huaihai Institute of Technology | Ren H.,Huaihai Institute of Technology | Wan J.,Lianyungang Second Peoples Hospital
Proceedings - 4th International Conference on Computational and Information Sciences, ICCIS 2012 | Year: 2012

Breast cancer is a very deadly disease for women. For the time being, mammographic screening remains the most effective method for early detection of breast cancer. However, reading mammography is a time-consume error-prone work. Therefore, many computer-aided detection and diagnosis systems (CAD) have been developed to assist radiologists in detecting and classifying mammographic mass. Most of those CAD system used single classifier for the classification of mass patterns into benign and malignant, or normal and mass or calcification. Increasing number of researches demonstrated that multi-classifier is an effective approach to improve the classification performance of CAD system. In this paper, we present a new hybrid classifier for mammographic CAD by hybridizing Logistic Regression (LR) and K-nearest neighbor (KNN) classifiers. To test and evaluate the proposed hybrid classifier, several experiments were carried out. The experimental results show that the proposed hybrid method achieves better performance then those two single classifiers (i.e., LR classifier and KNN classifier). © 2012 IEEE.


Lan Y.,Nanyang Normal University | Ren H.,Huaihai Institute of Technology | Li C.,Huaihai Institute of Technology | Min Z.,Huazhong Institute of Optoelectronics | And 3 more authors.
Technology in Cancer Research and Treatment | Year: 2013

In order to facilitate the leaf sequencing process in intensity modulated radiation therapy (IMRT), and design of a practical leaf sequencing algorithm, it is an important issue to smooth the planned fluence maps. The objective is to achieve both high-efficiency and high-precision dose delivering by considering characteristics of leaf sequencing process. The key factor which affects total number of monitor units for the leaf sequencing optimization process is the max flow value of the digraph which formulated from the fluence maps. Therefore, we believe that one strategy for compromising dose conformity and total number of monitor units in dose delivery is to balance the dose distribution function and the max flow value mentioned above. However, there are too many paths in the digraph, and we don't know the flow value of which path is the maximum. The maximum flow value among the horizontal paths was selected and used in the objective function of the fluence map optimization to formulate the model. The model is a traditional linear constrained quadratic optimization model which can be solved by interior point method easily. We believe that the smoothed maps from this model are more suitable for leaf sequencing optimization process than other smoothing models. A clinical head-neck case and a prostate case were tested and compared using our proposed model and the smoothing model which is based on the minimization of total variance. The optimization results with the same level of total number of monitor units (TNMU) show that the fluence maps obtained from our model have much better dose performance for the target/non-target region than the maps from total variance based on the smoothing model. This indicates that our model achieves better dose distribution when the algorithm suppresses the TNMU at the same level. Although we have just used the max flow value of the horizontal paths in the diagraph in the objective function, a good balance has been achieved between the dose conformity and the total number of monitor units. This idea can be extended to other fluence map optimization model, and we believe it can also achieve good performance. © Adenine Press (2013).


Liu C.,Nanyang Normal University | Fang L.,Nanyang Normal University | Peng Z.,Nanyang Normal University | Yang H.,Nanyang Normal University | And 2 more authors.
International Journal of Simulation: Systems, Science and Technology | Year: 2016

Breast cancer is one of the most devastating and deadly cancer among women. Early detecting and diagnosing can reduce mortality. Mammography screening is recognized as the most effective method for early detection. However, it is an error-prone task to interpret mammogram. Computer-aided detecting and diagnosis (CADx) systems have been investigated to assist radiologists to interpret mammographic images. In a new type of content-based image retrieval (CBIR) CAD systems, similarity, between a being detected suspicious region and regions of interest (ROI) which are beforehand included in a images database, is most important for the performance of a CAD system. According to the similarity measure, there are two types of CBIR CAD, multi-feature based and information template based. In this paper, a hybrid similarity measure method using the above two measures is proposed. This new hybrid method taken the advantages of two methods into account and avoid their disadvantages. A lot of experiments were carried out. CADs’ performance was evaluated using a leave-one-out sampling method and Receiver Operating Characteristics analysis. The experimental results show that the proposed hybrid method has better performance by compare with the two single types of method. © 2016, UK Simulation Society. All rights reserved.


Li M.,Lianyungang Second Peoples Hospital | Ma J.-X.,Lianyungang Second Peoples Hospital | Wang Z.-M.,Lianyungang Second Peoples Hospital | Hou J.-M.,Lianyungang Second Peoples Hospital | Zhou J.,Lianyungang Second Peoples Hospital
Chinese Journal of Cancer Prevention and Treatment | Year: 2011

OBJECTIVE: To investigate the effects of quercetin on heat shock protein expression in human breast cancer cell MCF-7. METHODS: MCF-7 cells were incubated at 42°C for 2 h in vitro. The changes of gene expression and protein levels of HSP70, HSP27 and HSP90 were detected by real-time PCR and Western-blot after 4, 8, 12 and 24 hours. MCF-7 cells were pretreated with 150 μmol/L Quercetin before heat treatment, then detected the changes of gene expression and protein levels of HSP70, HSP27 and HSP90. RESULTS: The gene expression and protein levels of HSP70, HSP27 and HSP90 reached to its peak at 4 h, decresed at 8 h and returned to normal level at 24 h after heat treatment. Quercetin could inhibit gene expression and protein levels of HSP70 and HSP27, but up-regulated and delayed descent of HSP90. The level stay in peak at 4 to 8 h and then decrease to normal. CONCLUSIONS: The gene expression and protein levels of HSP70, HSP27 and HSP90 up-regulate quickly after heat treatment. Using quercetin before heat treatment can inhibit gene expression and protein levels of HSP70 and HSP27, but increase and delay that of HSP90.


Fan G.-H.,Nanjing Medical University | Fan G.-H.,Shenzhen Third Peoples Hospital | Wang Z.-M.,Nanjing Medical University | Wang Z.-M.,Lianyungang Second Peoples Hospital | And 7 more authors.
Asian Pacific Journal of Cancer Prevention | Year: 2014

Resveratrol has been examined in several model systems for potential effects against cancer. Adenosine monophosphate-activated protein kinase (AMPK) is reported to suppress proliferation in most eukaryocyte cells. Whether resveratrol via AMPK inhibits proliferation of oesophageal adenocarcinoma cells (OAC) is unknown. The aim of this study was to determine the roles of AMPK in the protective effects of resveratrol in OAC proliferation and to elucidate the underlying mechanisms. Treatment of cultured OAC derived from human subjects or cell lines with resveratrol resulted in decreased cell proliferation. Further, inhibition of AMPK by pharmacological reagent or genetical approach abolished resveratrol-suppressed OAC proliferation, reduced the level of P27Kip1, a cyclin-dependent kinase inhibitor, and increased the levels of S-phase kinase-associated protein 2 (Skp2) of P27Kip1-E3 ubiquitin ligase and 26S proteasome activity reduced by resveratrol. Furthermore, gene silencing of P27Kip1 reversed resveratrol-suppressed OAC proliferation. In conclusion, these findings indicate that resveratrol inhibits Skp2-mediated ubiquitylation and 26S proteasome-dependent degradation of P27Kip1 via AMPK activation to suppress OAC proliferation.

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