To vertically analyze the trend of surgical approaches, demographics, surgical morbidity, and long-term survival outcomes of early-stage cervical cancer over the past 11 years and to determine whether there have been any significant changes.A total of 851 patients with consecutive International Federation of Gynecology and Obstetrics (FIGO) 2009 stage IA-IIA cervical cancer diagnosed between January 2008 and June 2018 at a single center in China were included in this retrospective study. Trends in the rate of minimally invasive surgery (MIS), demographics, surgical morbidities, and long-term survival outcomes were determined. We categorized patients into two groups according to their year of operation. The demographics, pathological factors, surgical morbidity, and long-term survival outcomes were compared between these two groups.Regarding the surgical approach, there was a significant increase in the rate of laparoscopic radical hysterectomy (LRH) performed over the study period, from 7.8% in 2008 to 72.5% in 2018 (p < 0.0001). The mean age of patients who underwent abdominal radical hysterectomy (ARH) has increased slightly from 2008 to 2018, and those who underwent ARH in the second half of the study period (2014-2018) were significantly older (45.01 vs. 47.50 years; p = 0.001). The most impressive changes over the past 11 years have occurred in the surgical morbidity in both the ARH and LRH groups. The overall surgical morbidity decreased from 29.2% in 2008 to 11.9% in 2018, with an annual rate of 1.57%. The median estimated blood loss volume of the ARH group was 500 ml (range 50-2,000) in the first few years compared to 400 ml (30-2500) in the last few years of the study period (p < 0.0001), which in the LRH group was 350 ml (range 150-800) and 150 ml (range 5-1,000), respectively (p < 0.0001). Similarly, allogeneic blood transfusions and hospital stay have all decreased dramatically over time in both approaches. On the other hand, our study did not reveal any significant statistical changes in long-term survival outcomes over the follow-up period in either group.The findings of our study demonstrate that great progress in surgically managed cervical cancer has been made over the last decade in West China. Our retrospective study demonstrated that the year of operation does not appear to influence the long-term survival, but the surgical morbidity impressively decreased over the study period in both the ARH and LRH groups, which reflects that the higher hospital surgical volume for radical hysterectomy (RH) was not associated with lower survival outcomes but related to the reduction of surgical morbidity.
Vaginal leiomyoma is a rare type of leiomyoma that occurs on the wall of vagina. Treatment for vaginal leiomyoma is varied and is based on the location and size of the leiomyoma.In this case, a 24-year-old newly married Chinese woman complained of dyspareunia. The physical examination revealed a solid mass on the anterior wall of vagina. It almost filled up the whole vagina cavity.Transvaginal ultrasound showed a tumor on the anterior wall of vagina. Pelvic computed tomography (CT) and magnetic resonance imaging (MRI) also confirmed the tumor on vaginal wall. Fine needle aspiration biopsy confirmed fibrous and smooth muscle tissue in the tumor, and immunohistochemical examination found the estrogen receptor (ER) and progesterone receptor (PR) were positive.6 courses of gonadotropin-releasing hormone (GnRH) analogue were given before the patient underwent complete surgical resection through vagina.No postoperative complications occurred, and the patient was discharged from the hospital 3 days after surgery. Follow-up after 3 months revealed negative symptoms of genitourinary system. No sign of recurrence was found.In this case, vaginal leiomyoma was diagnosed with help of imagological examinations like ultrasound, CT, and MRI, as well as pathological examination like fine needle aspiration biopsy. Preoperative GnRH analogue treatment can ensure smooth surgical procedure, and reduce blood loss during surgery.
Chromosomal karyotype is important to determine whether a newborn has a genetic disorder.There are two main categories of chromosomal abnormalities, structural abnormalities in which the chromosome structure is altered, and chromosome number abnormalities.Manual karyotyping is complex and takes a lot of time because it requires a high degree of domain expertise.Based on this investigation proposes a new method of chromosome defect detection based on deep learning with 20,299 chromosome images from Dongguan Kanghua Hospital as data and integrates the diversity of chromosome features, and trains to propose a classifier model based on feature fusion for chromosome abnormality detection.We put forward a feature fusion classifier with dynamic weights (FFCDW) for chromosomal abnormality detection, after data augmentation with three deep learning networks, ResNet, SENet, and VGG19, the three trained models are combined using a dynamic weighting approach.Experiments prove the FFCDW method outperforms these mainstream models of ResNet, SENet, and VGG19.The proposed method based on FFCDW achieves precision of 0.8902 and F1-score of 0.8805 with a small standard deviation (0.00903 and 0.00892, respectively).In addition, the algorithm can automatically assign weights based on the results of a single model, and the strategy with dynamic weights outperforms the strategy with fixed weights in the proposed feature fusion classifier.
Objective To observe the syndrome characteristics of neotype HINI influenza A patients and explain its etiology and pathogenesis,so as to summarize the staging dialectical model according with clinicalpractice..Methods 472 cases of influenza H1N1 were confirmed in line with the diagnostic criteria of Ministry of Public Health,who were isolated and hospitalized in Shenzhen Third People's Hospital during March 2009 to March 2010.They were retrospectively analyzed using cross-sectional survey methods and statistical analysis respectively according to respective clinical symptoms,signs,and each stage related syndrome factor of three stages such as superficial syndrome,interior syndrome and recovery stage.The corresponding basic syndrome,clips syndrome and main pathogenesis,secondary pathogenesis were identified on the basis of its expression frequency.Results The express frequencies more than 50% of the symptoms and signs in superficial syndrome stage were respectively such as fever 90.46%,fatigue 68.21%,cough 50.29%,pharynx hyperemia 72.83% and tonsil enlargement congestion 83.53%,etc.The express frequencies more than 50% of the symptoms and signs in interior syndrome stage were respectively such as fever,cough,yellow urinate,being thirsty all for 100%,thoracalgia 76.98%,pharyngodynia 81.75%,etc.The relative frequencies of the symptoms and signs in recovery stage were respectively fatigue 30.29%,poor diet 17.58%,yellow urinate 17.16%,cough 11.23%,etc.Conclusion Neotype HINI influenza A patient in superficial syndrome stage was characterized as Wind Hot invading and Healthy Qi damaged.The patient in interior syndrome stage was characterized as the combination of Pyretic Stagnation in Chest-Diaphragm and Accumulation of Pathogenic Heat in Lung.Patients in recovery stage was characterized as Healthy Qi damaged including Qi asthenia,Yin deficiency,Yang deficiency,and showed the pathogenesis characteristics not net subsidized.
William Blake is a famous English poet and engraver, one of the leading poets of the pre-romantic period.Many critics consider him as a remarkable poet, prophet, philosopher and artist in the world.He was unknown during his lifetime and was often called a madman.Many people surprisingly find that Blake has depicted the life in modern time in his poems and pointed out the prospects.The Marriage of Heaven and Hell is a classical prophetic book, which shows Blake's gift of prophecy.The thesis will deal with Blake's prophecy in
Automatic seizure detection plays an important role in long-term epilepsy monitoring, and seizure detection algorithms have been intensively investigated over the years. This paper proposes an algorithm for seizure detection using lacunarity and Bayesian linear discriminant analysis (BLDA) in long-term intracranial EEG. Lacunarity is a measure of heterogeneity for a fractal. The proposed method first conducts wavelet decomposition on EEGs with five scales, and selects the wavelet coefficients at scale 3, 4, and 5 for subsequent processing. Effective features including lacunarity and fluctuation index are extracted from the selected three scales, and then sent into the BLDA for training and classification. Finally, postprocessing which includes smoothing, threshold judgment, multichannels integration, and collar technique is applied to obtain high sensitivity and low false detection rate. The proposed algorithm is evaluated on 289.14 h intracranial EEG data from 21-patient Freiburg dataset and yields a sensitivity of 96.25% and a false detection rate of 0.13/h with a mean delay time of 13.8 s.
Aim High-intensity focused ultrasound (HIFU) is a non-invasive treatment of adenomyosis. Uterine rupture during pregnancy is a rare adverse event after HIFU treatment, because HIFU treatment results in tissue coagulative necrosis.Methods We reported a case of uterine rupture in a 34-year-old woman. The woman had HIFU treatment for adenomyosis eight months before unplanned pregnancy. She was closely monitored during the pregnancy and the antenatal course was uneventful. At the gestational age of 38 weeks and 2 days, an emergency lower segment cesarean section was performed because of inexplainable abdominal pain. After delivery of the fetus, a 2 × 2 cm serous membrane rupture was observed in the HIFU treatment area.Conclusion Uterine rupture during pregnancy after HIFU is a rare adverse event, however, attention is required during the whole pregnancy in case of unexpected uterine rupture.
In order to achieve the purpose of positioning the target point from any camera photos,for information on how to use the least get the coordinates of the target point in space,based on the the camera imaging model,geometric constraints of the fixed point in space,and the basic principles of the coordinate system transformation,this paper obtained a target point positioning method through uncalibrated photographs similar to P4 P.This method could calculate the three-dimensional world coordinates of the target point by observing two images' position coordinates of four points whose world coordinate was already known.Very minimal information was needed in this method,and it could be used with any cameras of photos.Experiment has been made to verify the feasibility of the algorithm.The accuracy compared to traditional calibration methods has no significant losses,and is higher than other self-calibration positioning methods.
In recent years, with the rapid development of artificial intelligence, machine vision technology has been widely used in various fields. Traditional cancer detection methods are time-consuming, labor-intensive, and highly dependent on the experience of pathologists; therefore, these methods cannot meet the needs of modern medical treatment. Machine vision overcomes the disadvantages of traditional detection methods in cancer detection and can help pathologists improve the detection accuracy. According to the requirements of medical detection, this review summarizes the applications of machine vision in the detection of cancer cells in histopathological images and analyzes the advantages and disadvantages of existing methods in image preprocessing, segmentation, feature extraction and recognition. Finally, research on the detection methods of histopathological cancer cells is reviewed and prospected, and future development trends are predicted to provide guidance for follow-up research.
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