M. Eftekhari, M. Abbasi, Azam Tarafdari, Alireza Emami-Ardekani, S. Farzanefar, F. Kalantari, B. Fallahi, A. Fard-Esfahani, D. Beiki, M. Naseri, M. Saghari
Aim: Bull's eye pattern recognition with artificial neural networks (ANNs) has the potential to assist interpretation of myocardial perfusion images (MPIs). We aimed to develop a model for interpretation of MPI based on the clinical variables and imaging data. Materials and Methods: The study included 208 patients referred to the department of nuclear medicine for 2-day stress-rest ECG-gated MPI. Several ANN models were designed with the following input variables: average count of 20 segments of the bull's eye images of stress and rest MPIs, gender, the constellation of coronary artery disease risk factors and scintigraphic cardiac ejection fraction. The procedure was repeated excluding the data of the rest phase scan. Data of 150 subjects were used for training, 21 subjects for cross-validation and 37 subjects for final operation testing. Several ANN models were examined with different hidden layers and processing elements and functions. The target output variable was the conclusion of the nuclear physician (i.e., normal vs. abnormal scan). Results: A multilayer perceptron (MLP) with two hidden layers trained with both stress and rest data demonstrated the best performance to classify the normal and abnormal MPIs. It showed an overall accuracy of 91.9%, sensitivity of 91.3% and specificity of 92.9%. The accuracy of the similar MLP trained using stress-only myocardial perfusion images reduced to 67.6%. Conclusion: The automated interpretation of MPIs with a 2 hidden layer MLP trained with stress and rest images could be an accurate support system either for the interpretation or quality assurance.
{"title":"Automated Interpretation of Myocardial Perfusion Images with Multilayer Perceptron Network as a Decision Support System","authors":"M. Eftekhari, M. Abbasi, Azam Tarafdari, Alireza Emami-Ardekani, S. Farzanefar, F. Kalantari, B. Fallahi, A. Fard-Esfahani, D. Beiki, M. Naseri, M. Saghari","doi":"10.1166/JMIHI.2018.2567","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2567","url":null,"abstract":"Aim: Bull's eye pattern recognition with artificial neural networks (ANNs) has the potential to assist interpretation of myocardial perfusion images (MPIs). We aimed to develop a model for interpretation of MPI based on the clinical variables and imaging data. Materials and\u0000 Methods: The study included 208 patients referred to the department of nuclear medicine for 2-day stress-rest ECG-gated MPI. Several ANN models were designed with the following input variables: average count of 20 segments of the bull's eye images of stress and rest MPIs, gender, the constellation\u0000 of coronary artery disease risk factors and scintigraphic cardiac ejection fraction. The procedure was repeated excluding the data of the rest phase scan. Data of 150 subjects were used for training, 21 subjects for cross-validation and 37 subjects for final operation testing. Several ANN\u0000 models were examined with different hidden layers and processing elements and functions. The target output variable was the conclusion of the nuclear physician (i.e., normal vs. abnormal scan). Results: A multilayer perceptron (MLP) with two hidden layers trained with both stress and\u0000 rest data demonstrated the best performance to classify the normal and abnormal MPIs. It showed an overall accuracy of 91.9%, sensitivity of 91.3% and specificity of 92.9%. The accuracy of the similar MLP trained using stress-only myocardial perfusion images reduced to 67.6%. Conclusion:\u0000 The automated interpretation of MPIs with a 2 hidden layer MLP trained with stress and rest images could be an accurate support system either for the interpretation or quality assurance.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85565850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Image segmentation is an important step in most medical image analysis tasks. An effective image segmentation method helps clinicians and patients in image-guided surgery, radiotherapy, early disease detection, volumetric measurement, and three-dimensional visualization. The fuzzy c-means (FCM) clustering algorithm is one of the most popular methods used for medical image segmentation. However, it does not produce satisfactory results for images with noise and intensity inhomogeneities. Hence, a wavelet-based FCM clustering algorithm is proposed in this work. An advanced wavelet transform, such as the dual-tree complex wavelet transform (DT-CWT), is proposed to sharpen the edges and to avoid segmentation error caused by noise. An appropriate level of decomposition is selected on the basis of the images. The FCM clustering technique is applied on the wavelet transformed image by selecting an optimal number of clusters. The combination of DT-CWT and FCM clustering technique produces an effective segmentation result. The conventional discrete wavelet transform (DWT) was also tested, but it was unable to give an efficient segmentation result when combined with FCM. Experiments were conducted on real T1-weighted magnetic resonance (MR) images to validate the proposed algorithm. Moreover, a comparison was performed with different state-of-the-art algorithms to show the superiority of our proposed method.
{"title":"Brain Image Segmentation Based on Dual-Tree Complex Wavelet Transform and Fuzzy C-Means Clustering Algorithm","authors":"Dibash Basukala, Debesh Jha, G. Kwon","doi":"10.1166/JMIHI.2018.2524","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2524","url":null,"abstract":"Image segmentation is an important step in most medical image analysis tasks. An effective image segmentation method helps clinicians and patients in image-guided surgery, radiotherapy, early disease detection, volumetric measurement, and three-dimensional visualization. The fuzzy c-means\u0000 (FCM) clustering algorithm is one of the most popular methods used for medical image segmentation. However, it does not produce satisfactory results for images with noise and intensity inhomogeneities. Hence, a wavelet-based FCM clustering algorithm is proposed in this work. An advanced wavelet\u0000 transform, such as the dual-tree complex wavelet transform (DT-CWT), is proposed to sharpen the edges and to avoid segmentation error caused by noise. An appropriate level of decomposition is selected on the basis of the images. The FCM clustering technique is applied on the wavelet transformed\u0000 image by selecting an optimal number of clusters. The combination of DT-CWT and FCM clustering technique produces an effective segmentation result. The conventional discrete wavelet transform (DWT) was also tested, but it was unable to give an efficient segmentation result when combined with\u0000 FCM. Experiments were conducted on real T1-weighted magnetic resonance (MR) images to validate the proposed algorithm. Moreover, a comparison was performed with different state-of-the-art algorithms to show the superiority of our proposed method.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75510680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Computed tomography (CT) and Magnetic resonance imaging (MRI) are two kinds of important medical images, simply namely CT and MRI. Automatic lesion detection of CT and MRI is an important step for accurate clinical diagnosis. The classical CT and MRI lesion segmentation methods have bad performance due to the complex background noise, various illumination, and uneven color on CT image. In this paper, an improved fully convolutional network (FCN) model is proposed for lesion detection of CT and MRI image. The structure is same as FCN, and the lesion information from a deep layer is combined with appearance information from a shallow layer. First, we labeled all of the images from training set manually, the lesion and background labeled as 1 and 0, respectively. Then, the whole CT and MRI image dataset is fed to FCN. After 100 epochs training iterations, the model after the last iteration is selected as the final model, and then test dataset is put into the final model to obtain the detection results. The experimental results show that the proposed method can effectively detect and segment the lesion of CT and MRI images and greatly improve the segmentation accuracy, and can be used for the automatic lesion detection of CT and MRI images.
{"title":"Lesion Detection of Computed Tomography and Magnetic Resonance Imaging Image Based on Fully Convolutional Networks","authors":"Shanwen Zhang, Wenzhun Huang, H. Wang","doi":"10.1166/JMIHI.2018.2565","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2565","url":null,"abstract":"Computed tomography (CT) and Magnetic resonance imaging (MRI) are two kinds of important medical images, simply namely CT and MRI. Automatic lesion detection of CT and MRI is an important step for accurate clinical diagnosis. The classical CT and MRI lesion segmentation methods have\u0000 bad performance due to the complex background noise, various illumination, and uneven color on CT image. In this paper, an improved fully convolutional network (FCN) model is proposed for lesion detection of CT and MRI image. The structure is same as FCN, and the lesion information from a\u0000 deep layer is combined with appearance information from a shallow layer. First, we labeled all of the images from training set manually, the lesion and background labeled as 1 and 0, respectively. Then, the whole CT and MRI image dataset is fed to FCN. After 100 epochs training iterations,\u0000 the model after the last iteration is selected as the final model, and then test dataset is put into the final model to obtain the detection results. The experimental results show that the proposed method can effectively detect and segment the lesion of CT and MRI images and greatly improve\u0000 the segmentation accuracy, and can be used for the automatic lesion detection of CT and MRI images.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"2014 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86744517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Gang, Zeng Mu, Ma Zenglin, L. Jiayi, Fan Zhanming, Liu Dongting, Wen Zhaoying
Objectives: To determine the value of cardiac magnetic resonance (CMR) quantitative tissue markers in the diagnosis of acute myocarditis, compared with the traditional Lake-Louise criteria (LLC). Methods: Totally 35 cases of patients diagnosed as acute myocarditis in Beijing Anzhen Hospital and 35 healthy volunteers were enrolled in our study, from May 2014 to August 2016. CMR protocol included quantitative assessment of T1 relaxation times using modified Look-Locker inversion recovery (MOLLI), extracellular volume fraction (ECV), T2 relaxation times. Established Lake-Louise criteria (LLC) consisting of T2-weighted signal intensity ratio (T2-ratio), early gadolinium enhancement ratio (EGEr), and late gadolinium enhancement (LGE) were assessed. Receiver operating characteristics analysis was performed to compare diagnostic performance. Results: T2-ratio (1.85±0.21 vs. 1.58±0.15; P = 0.002) and EGEr (3.87±1.62 vs. 2.15±1.36; P =0.024) were significantly higher in myocarditis subjects than in control subjects. Non-ischemic LGE was found in 27/35 (77.1%) of all myocarditis patients. Regional myocardial edema was found in 23/35 (65.7%) of all myocarditis patients. Myocardial T1 and T2 relaxation times and ECV were significantly prolonged in the myocarditis group compared with the control group (T1 native relaxation time: 1310±62 vs. 1247±27 ms, T2 native relaxation time: 65.46±8.49 vs. 55.17±3.59 ms; ECV: 34.47±8.52 vs. 27.68±5.82, P < 0.001, respectively). Areas under the curve of native T1 (0.94) and T2 relaxation times (0.91) were higher compared with those of the other CMR parameters (T2-ratio: 0.73, EGEr: 0.72, LGE: 0.88, LLC: 0.90, ECV: 0.79). Combined with LGE, each native mapping technique outperformed the diagnostic performance of LLC (P < 0.01, respectively). A combination of native parameters (T1, T2 relaxation times) significantly increased the diagnostic performance of CMR compared with LLC without need of contrast media application (0.99 vs. 0.90; P < 0.05). Conclusion: CMR quantitative tissue markers has good diagnostic efficiency for acute myocarditis, it may be potential to replace the Lake-Louise criteria in the future in patients with contraindications for the use of gadolinium-based contrast agents.
{"title":"Cardiac Magnetic Resonance Quantitative Tissue Markers in the Clinical Application Value for the Diagnosis of Acute Myocarditis","authors":"L. Gang, Zeng Mu, Ma Zenglin, L. Jiayi, Fan Zhanming, Liu Dongting, Wen Zhaoying","doi":"10.1166/JMIHI.2018.2523","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2523","url":null,"abstract":"Objectives: To determine the value of cardiac magnetic resonance (CMR) quantitative tissue markers in the diagnosis of acute myocarditis, compared with the traditional Lake-Louise criteria (LLC). Methods: Totally 35 cases of patients diagnosed as acute myocarditis in Beijing\u0000 Anzhen Hospital and 35 healthy volunteers were enrolled in our study, from May 2014 to August 2016. CMR protocol included quantitative assessment of T1 relaxation times using modified Look-Locker inversion recovery (MOLLI), extracellular volume fraction (ECV), T2 relaxation times. Established\u0000 Lake-Louise criteria (LLC) consisting of T2-weighted signal intensity ratio (T2-ratio), early gadolinium enhancement ratio (EGEr), and late gadolinium enhancement (LGE) were assessed. Receiver operating characteristics analysis was performed to compare diagnostic performance. Results:\u0000 T2-ratio (1.85±0.21 vs. 1.58±0.15; P = 0.002) and EGEr (3.87±1.62 vs. 2.15±1.36; P =0.024) were significantly higher in myocarditis subjects than in control subjects. Non-ischemic LGE was found in 27/35 (77.1%) of all myocarditis patients. Regional myocardial edema\u0000 was found in 23/35 (65.7%) of all myocarditis patients. Myocardial T1 and T2 relaxation times and ECV were significantly prolonged in the myocarditis group compared with the control group (T1 native relaxation time: 1310±62 vs. 1247±27 ms, T2 native relaxation time: 65.46±8.49\u0000 vs. 55.17±3.59 ms; ECV: 34.47±8.52 vs. 27.68±5.82, P < 0.001, respectively). Areas under the curve of native T1 (0.94) and T2 relaxation times (0.91) were higher compared with those of the other CMR parameters (T2-ratio: 0.73, EGEr: 0.72, LGE: 0.88, LLC: 0.90, ECV:\u0000 0.79). Combined with LGE, each native mapping technique outperformed the diagnostic performance of LLC (P < 0.01, respectively). A combination of native parameters (T1, T2 relaxation times) significantly increased the diagnostic performance of CMR compared with LLC without need of contrast\u0000 media application (0.99 vs. 0.90; P < 0.05). Conclusion: CMR quantitative tissue markers has good diagnostic efficiency for acute myocarditis, it may be potential to replace the Lake-Louise criteria in the future in patients with contraindications for the use of gadolinium-based\u0000 contrast agents.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85565238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to solve the problem of high coupling between hospital information systems and the effective use of data. According to the degree of hospital informatization, the hospital data integration platform technology and hospital data application platform technology can be adopted to solve the problem. Hospital data integration platform and hospital data application platform can be converted to each other. It should be based on its degree of informatization for the hospital to progress step by step and advance gradually.
{"title":"Research on the Construction Strategy of Hospital Data Platform","authors":"Xiaoliu Zhong","doi":"10.1166/jmihi.2018.2522","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2522","url":null,"abstract":"In order to solve the problem of high coupling between hospital information systems and the effective use of data. According to the degree of hospital informatization, the hospital data integration platform technology and hospital data application platform technology can be adopted\u0000 to solve the problem. Hospital data integration platform and hospital data application platform can be converted to each other. It should be based on its degree of informatization for the hospital to progress step by step and advance gradually.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89105494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RETRACTION Body Area Network System Based on ECG, GPS and Movement Signals (Journal of Medical Imaging and Health Informatics, Vol. 2(1), pp. 76–79 (2012))","authors":"E. Kańtoch, P. Augustyniak","doi":"10.1166/jmihi.2018.2514","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2514","url":null,"abstract":"","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"05 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80033792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: It is estimated that about 80% of general population experience low back pain lifetime. Decreased lumbar lordosis is one of the important findings of disc disease and degenerative process is the result. In this retrospective study, Magnetic Resonance Imaging (MRI) and direct radiographs were used to measure lordosis in patients with disc herniation and compared to patients with low back pain without disc herniation. Materials and Methods: Patients admitted to outpatient clinics of our institution with low back pain and sciatalgia between 2014 and 2017 were enrolled in the study. In present retrospective study, MRI and plain radiographic images were obtained and evaluated. Patients with disc hernia in L4–5 or L5–S1 level were determined. Control group were consisted of healthy subjects whom low back pain was not caused by disk herniation. Lumbar lordotic angle was measured by an experienced radiologist by Cobb method. Results: The lumbar spinal angles measured by plain radiography were 45.41±11.53 mm in the patient groups with disc hernia, and 54.87±8.80 mm in the control group (Fig. 2). The difference between the study groups was significant (p < 0.001). The lumbar lordosis angles measured by MRI were 41.65±8.50 mm in the patient groups with disc hernia, and 44.85±7.58 mm in control group. The difference between the study groups did not reach a significant level (p = 0 428) (Fig. 3). Conclusion: Lumbar disc herniation decreases lumbar lordosis and we suggest that lumbar lordotic angles should be measured by direct plain radiographies in standing position in these patients. Nevertheless, beside a detailed medical history and physical examination, the diagnosis and treatment should be decided by a combination of MRI and standing plain radiograph in subjects with herniated lumbar discs.
{"title":"The Superiority of Plain Radiography to Magnetic Resonance Imaging in Determining Lumbar Lordosis Angles in Patients with Disc Herniation","authors":"E. Dagistan","doi":"10.1166/JMIHI.2018.2525","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2525","url":null,"abstract":"Objective: It is estimated that about 80% of general population experience low back pain lifetime. Decreased lumbar lordosis is one of the important findings of disc disease and degenerative process is the result. In this retrospective study, Magnetic Resonance Imaging (MRI)\u0000 and direct radiographs were used to measure lordosis in patients with disc herniation and compared to patients with low back pain without disc herniation. Materials and Methods: Patients admitted to outpatient clinics of our institution with low back pain and sciatalgia between 2014\u0000 and 2017 were enrolled in the study. In present retrospective study, MRI and plain radiographic images were obtained and evaluated. Patients with disc hernia in L4–5 or L5–S1 level were determined. Control group were consisted of healthy subjects whom low back pain was not caused\u0000 by disk herniation. Lumbar lordotic angle was measured by an experienced radiologist by Cobb method. Results: The lumbar spinal angles measured by plain radiography were 45.41±11.53 mm in the patient groups with disc hernia, and 54.87±8.80 mm in the control group (Fig.\u0000 2). The difference between the study groups was significant (p < 0.001). The lumbar lordosis angles measured by MRI were 41.65±8.50 mm in the patient groups with disc hernia, and 44.85±7.58 mm in control group. The difference between the study groups did not reach a significant\u0000 level (p = 0 428) (Fig. 3). Conclusion: Lumbar disc herniation decreases lumbar lordosis and we suggest that lumbar lordotic angles should be measured by direct plain radiographies in standing position in these patients. Nevertheless, beside a detailed medical history and physical examination,\u0000 the diagnosis and treatment should be decided by a combination of MRI and standing plain radiograph in subjects with herniated lumbar discs.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82794648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiang Yingmei, Jin Tao, Yang Xueqi, Dai Xiaoli, Jin Ri, Xu Huancai, W. Xiuying
The ametropia is the most widespread eye disease for the humans. Wherein, the myopia is the commonest ophthalmological reason influencing the distant vision. The excimer laser corneal refractive surgery has always been an operation mode most widely used in myopic correction operations for a number of years. The laser assisted in-situ keratomi (LASIK) mainly transforms the frontal surface appearance of the cornea to change the corneal refraction power, and its correction effect is influenced by a great many factors such as regression and hydration of cornea. Thus, a lot of surgeons would combine own experience in conducting LASIK myopic correction. The myopic regression would affect the foreseeability, operation effect and stability of corneal refractive surgery, which results in reduction of the patients' visual quality in turn. The pathogenesis still needs further study. The change of lens thickness does not only lead to change in depth of central anterior chamber, but also would cause the change in refractive power of lens, thereby influencing the whole dioptric system of the eyeball. The previous research on postoperative regression was mostly focused on the corneal refraction, while few efforts were put in the changes of lens thickness and refractive power after LASIK.
{"title":"An Analysis on the Change Rule of Eyeball's Biological Parameters of Different Types in the Refraction State and Vision Before and After Refraction","authors":"Jiang Yingmei, Jin Tao, Yang Xueqi, Dai Xiaoli, Jin Ri, Xu Huancai, W. Xiuying","doi":"10.1166/JMIHI.2018.2532","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2532","url":null,"abstract":"The ametropia is the most widespread eye disease for the humans. Wherein, the myopia is the commonest ophthalmological reason influencing the distant vision. The excimer laser corneal refractive surgery has always been an operation mode most widely used in myopic correction operations\u0000 for a number of years. The laser assisted in-situ keratomi (LASIK) mainly transforms the frontal surface appearance of the cornea to change the corneal refraction power, and its correction effect is influenced by a great many factors such as regression and hydration of cornea. Thus,\u0000 a lot of surgeons would combine own experience in conducting LASIK myopic correction. The myopic regression would affect the foreseeability, operation effect and stability of corneal refractive surgery, which results in reduction of the patients' visual quality in turn. The pathogenesis still\u0000 needs further study. The change of lens thickness does not only lead to change in depth of central anterior chamber, but also would cause the change in refractive power of lens, thereby influencing the whole dioptric system of the eyeball. The previous research on postoperative regression\u0000 was mostly focused on the corneal refraction, while few efforts were put in the changes of lens thickness and refractive power after LASIK.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87043837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhang Wenyu, Jiao Dongdong, L. Beibei, Zhang Xinlei, Zhu Yingzhi, Weng Chuanqing, Wang Xiaohui, Zhu Guangjian
Goal: To investigate the clinical benefits of partial body weight support for the function of Cardiopulmonary and Cardiac autonomic nerve in the early stage of Heart failure rehabilitation. Materials and Methods: We selected 90 patients with heart failure, divided into observation group (n = 45) and control group (n = 45). Both patients had the conventional drug therapy, while the observation group had the partial body weight support additionally within the 3 months treatment period. Serological examination includes brain natriuretic peptide (BNP) and aldosterone. Echocardiography detects left ventricular morphology, cardiac ejection function (EF) and cardiac autonomic nerve function. Minnesota quality of life scale (MHL) evaluates the life quality of the patients. Results: Before any treatment, there is no significant difference of serum brain natriuretic peptide (BNP), aldosterone, cardiac autonomic nerve function and the Minnesota quality of life scale (MHL) (P > 0.05). After treatment, outcome measures declined, including serum brain natriuretic peptide (BNP) and aldosterone (P < 0.01), LVESD and ESV (P < 0.01), LVEDD and EDV (P > 0.05). Outcome measures raised, including SV, CI, EF%, ΔD%. Among them, EF% had significant difference with P value < 0.05, and ΔD% with P value < 0.01. Both LF and HF raised, but LF/HF declined. The Minnesota quality of life scale (MHL) is significantly lower than before. Conclusion: Partial body weight support obviously reduces serum brain natriuretic peptide (BNP) and aldosterone, as well as improves the function of cardiopulmonary and cardiac autonomic nerve of the patients with heart failure, which at last improves the life quality.
{"title":"Partial Body Weight Support Benefits the Function of Cardiopulmonary and Cardiac Autonomic Nerve in the Early Stage of Heart Failure Rehabilitation","authors":"Zhang Wenyu, Jiao Dongdong, L. Beibei, Zhang Xinlei, Zhu Yingzhi, Weng Chuanqing, Wang Xiaohui, Zhu Guangjian","doi":"10.1166/JMIHI.2018.2534","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2534","url":null,"abstract":"Goal: To investigate the clinical benefits of partial body weight support for the function of Cardiopulmonary and Cardiac autonomic nerve in the early stage of Heart failure rehabilitation. Materials and Methods: We selected 90 patients with heart failure, divided into\u0000 observation group (n = 45) and control group (n = 45). Both patients had the conventional drug therapy, while the observation group had the partial body weight support additionally within the 3 months treatment period. Serological examination includes brain natriuretic peptide\u0000 (BNP) and aldosterone. Echocardiography detects left ventricular morphology, cardiac ejection function (EF) and cardiac autonomic nerve function. Minnesota quality of life scale (MHL) evaluates the life quality of the patients. Results: Before any treatment, there is no significant\u0000 difference of serum brain natriuretic peptide (BNP), aldosterone, cardiac autonomic nerve function and the Minnesota quality of life scale (MHL) (P > 0.05). After treatment, outcome measures declined, including serum brain natriuretic peptide (BNP) and aldosterone (P <\u0000 0.01), LVESD and ESV (P < 0.01), LVEDD and EDV (P > 0.05). Outcome measures raised, including SV, CI, EF%, ΔD%. Among them, EF% had significant difference with P value < 0.05, and ΔD% with P value < 0.01. Both LF and HF raised, but LF/HF\u0000 declined. The Minnesota quality of life scale (MHL) is significantly lower than before. Conclusion: Partial body weight support obviously reduces serum brain natriuretic peptide (BNP) and aldosterone, as well as improves the function of cardiopulmonary and cardiac autonomic nerve of\u0000 the patients with heart failure, which at last improves the life quality.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81635455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Naiquan Duan, Hui Wang, Z. Niu, Yifan Guo, Shuling Wang, Yifan Liu, Bingsong Xu, Lin Zhao, Yuanqing Yao
Whether treatment outcomes in intracytoplasmic sperm injection (ICSI) cycles differ between polycystic ovary syndrome (PCOS) and non-PCOS patients remains inconclusive. The aim of this meta-analysis is to compare oocyte quality and clinical outcomes in PCOS patients and non-PCOS patients undergoing ICSI procedure. Methods: Databases including Medline, Embase and the Cochrane Library were searched for studies published up to 18 January 2018. All articles searched were independently reviewed and selected by two evaluators according to predetermined inclusion and exclusion criteria. Results: Eight studies were selected for inclusion, and a total of 474 PCOS patients (627 cycles) were compared to age-matched controls (962 patients, 992 cycles). The total gonadotropin usage was significant less in PCOS group, and the MD was –481.72 IU [95% CI:– 603.76–359.68, P < 0.00001]. A significantly higher mean number of oocytes, metaphase II (MII) oocytes and 2-pronucleated (2PN) oocytes per cycle were observed in the PCOS group than in the non-PCOS group (P < 0.005), the total MDs were 4.20 [95% CI: 2.50–5.90], 1.52 [95% CI: 0.84–2.20] and 1.71 [95% CI: 0.73–2.69], respectively. The fertilization rate was comparable. The clinical pregnancy rate per transfer cycle was higher in the PCOS group, the odd ratio (OR) was 1.59 [95% CI: 1.23–2.05, P < 0.005] and the live birth rate was comparable. A higher miscarriage rate was observed in the PCOS group, but this did not reach statistical significance. The risk of ovarian hyperstimulation syndrome (OHSS) was significantly higher in the PCOS group [OR: 3.01, 95% CI: 1.16–7.82, P < 0.05]. Conclusions: This meta-analysis demonstrated that PCOS patients may have more favourable ICSI outcomes than non-PCOS patients. Our findings should be evaluated in further prospective cohort studies.
多囊卵巢综合征(PCOS)和非多囊卵巢综合征(PCOS)患者的卵胞浆内单精子注射(ICSI)周期治疗结果是否存在差异尚不明确。本荟萃分析的目的是比较接受ICSI手术的PCOS患者和非PCOS患者的卵母细胞质量和临床结果。方法:检索Medline、Embase和Cochrane图书馆等数据库，检索截至2018年1月18日发表的研究。所有检索到的文章均由两名评估员根据预定的纳入和排除标准进行独立审查和选择。结果:8项研究被纳入，共有474名PCOS患者(627个周期)与年龄匹配的对照组(962名患者，992个周期)进行了比较。PCOS组促性腺激素总用量显著低于PCOS组，MD为- 481.72 IU [95% CI: - 603.76 ~ 359.68, P < 0.00001]。PCOS组每周期平均卵母细胞、中期II (MII)卵母细胞和2-原核(2PN)卵母细胞数量显著高于非PCOS组(P < 0.005)，总MDs分别为4.20 [95% CI: 2.50-5.90]、1.52 [95% CI: 0.84-2.20]和1.71 [95% CI: 0.73-2.69]。受精率是相当的。PCOS组每个移植周期的临床妊娠率较高，奇数比(OR)为1.59 [95% CI: 1.23-2.05, P < 0.005]，活产率相当。PCOS组流产率较高，但差异无统计学意义。PCOS组发生卵巢过度刺激综合征(OHSS)的风险明显高于PCOS组[OR: 3.01, 95% CI: 1.16 ~ 7.82, P < 0.05]。结论:这项荟萃分析表明，PCOS患者可能比非PCOS患者有更有利的ICSI结果。我们的发现应该在进一步的前瞻性队列研究中进行评估。
{"title":"A Meta-Analysis of Oocyte Quality and Clinical Outcome of Intracytoplasmic Sperm Injection Cycles in Patients with Polycystic Ovary Syndrome","authors":"Naiquan Duan, Hui Wang, Z. Niu, Yifan Guo, Shuling Wang, Yifan Liu, Bingsong Xu, Lin Zhao, Yuanqing Yao","doi":"10.1166/jmihi.2018.2519","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2519","url":null,"abstract":"Whether treatment outcomes in intracytoplasmic sperm injection (ICSI) cycles differ between polycystic ovary syndrome (PCOS) and non-PCOS patients remains inconclusive. The aim of this meta-analysis is to compare oocyte quality and clinical outcomes in PCOS patients and non-PCOS patients\u0000 undergoing ICSI procedure. Methods: Databases including Medline, Embase and the Cochrane Library were searched for studies published up to 18 January 2018. All articles searched were independently reviewed and selected by two evaluators according to predetermined inclusion and exclusion\u0000 criteria. Results: Eight studies were selected for inclusion, and a total of 474 PCOS patients (627 cycles) were compared to age-matched controls (962 patients, 992 cycles). The total gonadotropin usage was significant less in PCOS group, and the MD was –481.72 IU [95% CI:–\u0000 603.76–359.68, P < 0.00001]. A significantly higher mean number of oocytes, metaphase II (MII) oocytes and 2-pronucleated (2PN) oocytes per cycle were observed in the PCOS group than in the non-PCOS group (P < 0.005), the total MDs were 4.20 [95% CI: 2.50–5.90],\u0000 1.52 [95% CI: 0.84–2.20] and 1.71 [95% CI: 0.73–2.69], respectively. The fertilization rate was comparable. The clinical pregnancy rate per transfer cycle was higher in the PCOS group, the odd ratio (OR) was 1.59 [95% CI: 1.23–2.05, P < 0.005] and the live birth\u0000 rate was comparable. A higher miscarriage rate was observed in the PCOS group, but this did not reach statistical significance. The risk of ovarian hyperstimulation syndrome (OHSS) was significantly higher in the PCOS group [OR: 3.01, 95% CI: 1.16–7.82, P < 0.05]. Conclusions:\u0000 This meta-analysis demonstrated that PCOS patients may have more favourable ICSI outcomes than non-PCOS patients. Our findings should be evaluated in further prospective cohort studies.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"106 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88996854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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