Abstract
Background
In previous systematic reviews, meta-analysis was lacking, resulting in the statistical difference between the data of different surgeries being impossible to judge. This ...meta-analysis aims to contrast the fertility results and cancer outcomes between open and minimally invasive surgery.
Method
We systematically searched databases including PubMed, Embase, Cochrane, and Scopus to collect studies that included open and minimally invasive radical trachelectomy. A random-effect model calculated the weighted average difference of each primary outcome via Review Manager V.5.4.
Result
Eight studies (1369 patients) were incorporated into our study. For fertility results, the Open group excels MIS group in pregnancies-Third trimester delivery OR = 2.68; 95% CI (1.29, 5.59);
P
= 0.008. Nevertheless, there is no statistical difference in clinical pregnancy, miscarriage, and second-trimester rate. Concerning cancer outcomes, no difference was detected in the overall survival OR = 1.56; 95% CI (0.70, 3.45);
P
= 0.27 and recurrence OR = 0.63; 95% CI (0.35, 1.12);
P
= 0.12. Concerning surgery-related outcomes, the comprehensive effects revealed that the estimated blood loss of the Open group was higher than that of the MIS groupMD = 139.40; 95% CI (79.05, 199.75);
P
< 0.0001. However, there was no difference between the postoperative complication rate in the two groups OR = 1.52; 95% CI (0.89, 2.60);
P
= 0.12.
Conclusion
This meta-analysis suggested that the fertility result of the Open group may be better than the MIS group, while the MIS group has better surgery-related outcomes. Owing to the poor cases of our study, a more robust conclusion requires more relevant articles in the future.
Systematic review registration
PROSPERO CRD42022352999.
We designed a water-soluble guanidinium-modified calix5arene to target lysophosphatidic acid (LPA), an ideal biomarker for early diagnosis of ovarian and other gynecologic cancers, achieving binding ...on the nanomolar level. An indicator displacement assay, coupled with differential sensing, enabled ultrasensitive and specific detection of LPA. Moreover, we show that using a calibration line, the LPA concentration in untreated serum can be quantified in the biologically relevant low μM range with a detection limit of 1.7 μM. The reported approach is feasible for diagnosing ovarian and other gynecologic cancers, particularly at their early stages.
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Carbon dots (CDs) have been widely used in recent years because of their excellent water solubility and abundant surface functional groups. However, compared with quantum dots or ...biological probes, the quantum yield of CDs is lower, and the fluorescence mainly concentrated in the blue-green range, which significantly limits the biological applications of CDs. Heteroatoms doping is the most common method to improve the luminescence of CDs. In this work, nitrogen and sulfur co-doped luminescent CDs were successfully synthesized by microwave assisted method using glutathione (GSH) and p-phenylenediamine (PPD) as raw materials. It can emit bright green fluorescence in ethanol solution, and the maximum emission wavelength is 535 nm when excited at 374 nm, and the absolute quantum yield is as high as 63%. Iron ion (Fe3+) can interact with the functional groups on the surface of the CDs to form CDs/Fe3+, which is a non-fluorescence complex, and Fe3+ can be reduced to ferrous ion (Fe2+). In other words, the reaction mechanism of CDs and Fe3+ is a combination of dynamic quenching and static quenching. The fluorescence of CDs quenched by Fe3+ can be restored by thiol, because there is a stronger binding force between sulfhydryl (-SH) on the surface of thiol and Fe3+, which enables CDs to be released. In addition, the CDs has good biocompatibility and stability, indicating that it has excellent potential in bioimaging. This discovery will expand the application of CDs in the fields of biosensing and imaging.
Background
Accurate glioma grading plays an important role in the clinical management of patients and is also the basis of molecular stratification nowadays.
Purpose/Hypothesis
To verify the ...superiority of radiomics features extracted from multiparametric MRI to glioma grading and evaluate the grading potential of different MRI sequences or parametric maps.
Study Type
Retrospective; radiomics.
Population
A total of 153 patients including 42, 33, and 78 patients with Grades II, III, and IV gliomas, respectively.
Field Strength/Sequence
3.0T MRI/T1‐weighted images before and after contrast‐enhanced, T2‐weighted, multi‐b‐value diffusion‐weighted and 3D arterial spin labeling images.
Assessment
After multiparametric MRI preprocessing, high‐throughput features were derived from patients' volumes of interests (VOIs). The support vector machine‐based recursive feature elimination was adopted to find the optimal features for low‐grade glioma (LGG) vs. high‐grade glioma (HGG), and Grade III vs. IV glioma classification tasks. Then support vector machine (SVM) classifiers were established using the optimal features. The accuracy and area under the curve (AUC) was used to assess the grading efficiency.
Statistical Tests
Student's t‐test or a chi‐square test were applied on different clinical characteristics to confirm whether intergroup significant differences exist.
Results
Patients' ages between LGG and HGG groups were significantly different (P < 0.01). For each patient, 420 texture and 90 histogram parameters were derived from 10 VOIs of multiparametric MRI. SVM models were established using 30 and 28 optimal features for classifying LGGs from HGGs and grades III from IV, respectively. The accuracies/AUCs were 96.8%/0.987 for classifying LGGs from HGGs, and 98.1%/0.992 for classifying grades III from IV, which were more promising than using histogram parameters or using the single sequence MRI.
Data Conclusion
Texture features were more effective for noninvasively grading gliomas than histogram parameters. The combined application of multiparametric MRI provided a higher grading efficiency. The proposed radiomic strategy could facilitate clinical decision‐making for patients with varied glioma grades.
Level of Evidence: 3
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2018;48:1518–1528
With the increasing application of additive manufacturing (AM) in the industry, more attention has been paid to the performance of the additively manufactured part. How to maximize the structural ...efficiency of a part to achieve the desired performance has become the focus and challenge of design for additive manufacturing (DFAM). To give full play to the complex-geometry, multi-material, multi-scale, and multi-function manufacturing capabilities of AM, new approaches in DFAM have to be explored. The relationship between stress and growth in biology indicates that naturally evolved perfect structures are all optimal responses to their applied force. This work discusses a novel method to DFAM at the macroscale, mesoscale and microscale from a force-flow perspective, aiming to achieve an organic integration of force-flow based design with AM-driven manufacturing. Firstly, the characteristics of force-flow and its embodiment in nature and engineering are analyzed. Then, an overview of topology optimization, lattice/cellular structure design and infill pattern design are respectively provided in the combination of force-flow and AM. Finally, the future development directions of DFAM based on force-flow are proposed according to the limitations of current research.
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•A multi-scale design method for additive manufacturing is discussed from a force-flow perspective.•The visualization forms, characteristics and the application of force-flow are elucidated.•Force-flow based topology optimization, mesoscopic structure design and infill pattern design are respectively reviewed.•Future research directions are indicated to make AM and force flow highly compatible.
Evaporation of water and ethanol/water droplets containing large polystyrene (PS) microparticles on polydimethylsiloxane (PDMS) surface was experimentally investigated. It is found that no matter ...with or without small addition of ethanol, a compact monolayer deposition is formed for lower microparticle concentration while mountain-like deposition for higher concentration. Since the more volatile compound (ethanol) evaporates more quickly than the less volatile compound (water), evaporation of ethanol/water mixture droplet exhibits different characteristics from pure water. When the concentration of microparticle is low, the contact radius of ethanol/water mixture droplet decreases throughout the whole process, while the contact angle increases at first to a maximum, then keeps almost constant, and finally decreases sharply. However, the evaporation of ethanol/water mixture droplet with higher concentration of microparticle behaviors more complex. The settling time of microparticles was estimated and its theoretical value agrees well with the experimental one. Moreover, a mechanism of self-pinning of microparticles was used to elucidate the deposition behavior of microparticles, indicating that as the contact line is depinning, the liquid film covering the outmost microparticle becomes thicker and thicker, and the microparticles have to move spontaneously with the depinning contact line under the action of capillary force.
Automated inspection has proven to be the most effective approach to maintaining quality in industrial-scale manufacturing. This study employed the eye-in-hand architecture in conjunction with deep ...learning and convolutional neural networks to automate the detection of defects in forged aluminum rims for electric vehicles. RobotStudio software was used to simulate the environment and path trajectory for a camera installed on an ABB robot arm to capture 3D images of the rims. Four types of surface defects were examined: (1) dirt spots, (2) paint stains, (3) scratches, and (4) dents. Generative adversarial network (GAN) and deep convolutional generative adversarial networks (DCGAN) were used to generate additional images to expand the depth of the training dataset. We also developed a graphical user interface and software system to mark patterns associated with defects in the images. The defect detection algorithm based on YOLO algorithms made it possible to obtain results more quickly and with higher mean average precision (mAP) than that of existing methods. Experiment results demonstrated the accuracy and efficiency of the proposed system. Our developed system has been shown to be a helpful rim defective detection system for industrial applications.
A novel nanostructured mesoporous CoxNi1-x layered double hydroxides (CoxNi1-x LDHs), which both Co(OH)2 and Ni(OH)2 exhibit, has been successfully synthesized by a chemical co-precipitation route ...using polyethylene glycol as the structure-directing reagent. Structural and morphological characterizations were performed using powder X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM). The component and thermal stability of the sample were measured by energy dispersed X-ray spectrometry (EDS), FT-IR and thermal analyses, including thermogravimetry (TG) and differential thermal analysis (DTA). Cyclic voltammogram and galvanostatic charge-discharge testified that the CoxNi1-x LDH has a specific capacitance of 1809 F g-1 at a current density of 1 A g-1 and remains at about 90.2% of the initial value after 1000 cycles at a current density of 10 A g-1. The relationship between the chemical composition and the capacitance is discussed.
In this paper, we study a variable-coefficient nonlinear Schrödinger (vc-NLS) equation with fourth-order effects describing an inhomogeneous one-dimensional continuum anisotropic Heisenberg ...ferromagnetic spin chain or alpha helical protein. The first-order nonautonomous breather solution of the fourth-order vc-NLS equation is derived. The state transition between nonautonomous breather and nonautonomous multi-peak soliton can be realized when group velocity dispersion (GVD) coefficient is proportional to the fourth-order dispersion (FOD) coefficient. We also display how the higher-order effects influence the nonautonomous multi-peak solitons. Our results show that the velocity and localization of the nonautonomous multi-peak soliton are affected by the FOD coefficient, and the peak number is controlled by the GVD coefficient. Further, we also show the compression effect and motion with variable velocity of nonautonomous multi-peak soliton in two kinds of dispersion management systems. Finally, we reveal the relation between the state transition and the modulation instability (MI) analysis.
Aims
The study aimed to examine the impact of prenatal depression and diabetes management self‐efficacy on postpartum stress and postpartum depression in women with gestational diabetes mellitus.
...Background
Poor perinatal mental health is linked to various adverse pregnancy outcomes in women with gestational diabetes mellitus.
Designs
A predictive study design and the guidelines for the STROBE checklist were used for the study.
Methods
A total of 119 pregnant women with a positive 75 g‐glucose challenge test were recruited at a medical centre. The Taiwanese depression questionnaire (TDQ), the diabetes management self‐efficacy scale (DMSES) and the Hung postpartum stress scale (Hung PSS) were used for data collection at the 24th week of pregnancy and the first week after childbirth.
Results
Diabetes management self‐efficacy was correlated with postpartum stress in women with gestational diabetes mellitus. Moreover, prenatal depression was a predictor of postpartum stress and postpartum depression, respectively, in women with gestational diabetes mellitus.
Conclusions
Healthcare providers should assess those women's diabetes management self‐efficacy and mood status during prenatal visits and offer the needed intervention to reduce the levels of postpartum stress and postpartum depression of those women after childbirth.
Relevance to clinical practice
A holistic care approach integrated diabetic care and mental health for women with gestational diabetes mellitus in a timely manner is warranted to promote perinatal mental health in women with gestational diabetes mellitus.
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