scholarly journals The Female Pelvic Floor Fascia Anatomy: A Systematic Search and Review

Life ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 900
Author(s):  
Mélanie Roch ◽  
Nathaly Gaudreault ◽  
Marie-Pierre Cyr ◽  
Gabriel Venne ◽  
Nathalie J. Bureau ◽  
...  

The female pelvis is a complex anatomical region comprising the pelvic organs, muscles, neurovascular supplies, and fasciae. The anatomy of the pelvic floor and its fascial components are currently poorly described and misunderstood. This systematic search and review aimed to explore and summarize the current state of knowledge on the fascial anatomy of the pelvic floor in women. Methods: A systematic search was performed using Medline and Scopus databases. A synthesis of the findings with a critical appraisal was subsequently carried out. The risk of bias was assessed with the Anatomical Quality Assurance Tool. Results: A total of 39 articles, involving 1192 women, were included in the review. Although the perineal membrane, tendinous arch of pelvic fascia, pubourethral ligaments, rectovaginal fascia, and perineal body were the most frequently described structures, uncertainties were identified in micro- and macro-anatomy. The risk of bias was scored as low in 16 studies (41%), unclear in 3 studies (8%), and high in 20 studies (51%). Conclusions: This review provides the best available evidence on the female anatomy of the pelvic floor fasciae. Future studies should be conducted to clarify the discrepancies highlighted and accurately describe the pelvic floor fasciae.

Author(s):  
Falk Schwendicke ◽  
Akhilanand Chaurasia ◽  
Lubaina Arsiwala ◽  
Jae-Hong Lee ◽  
Karim Elhennawy ◽  
...  

Abstract Objectives Deep learning (DL) has been increasingly employed for automated landmark detection, e.g., for cephalometric purposes. We performed a systematic review and meta-analysis to assess the accuracy and underlying evidence for DL for cephalometric landmark detection on 2-D and 3-D radiographs. Methods Diagnostic accuracy studies published in 2015-2020 in Medline/Embase/IEEE/arXiv and employing DL for cephalometric landmark detection were identified and extracted by two independent reviewers. Random-effects meta-analysis, subgroup, and meta-regression were performed, and study quality was assessed using QUADAS-2. The review was registered (PROSPERO no. 227498). Data From 321 identified records, 19 studies (published 2017–2020), all employing convolutional neural networks, mainly on 2-D lateral radiographs (n=15), using data from publicly available datasets (n=12) and testing the detection of a mean of 30 (SD: 25; range.: 7–93) landmarks, were included. The reference test was established by two experts (n=11), 1 expert (n=4), 3 experts (n=3), and a set of annotators (n=1). Risk of bias was high, and applicability concerns were detected for most studies, mainly regarding the data selection and reference test conduct. Landmark prediction error centered around a 2-mm error threshold (mean; 95% confidence interval: (–0.581; 95 CI: –1.264 to 0.102 mm)). The proportion of landmarks detected within this 2-mm threshold was 0.799 (0.770 to 0.824). Conclusions DL shows relatively high accuracy for detecting landmarks on cephalometric imagery. The overall body of evidence is consistent but suffers from high risk of bias. Demonstrating robustness and generalizability of DL for landmark detection is needed. Clinical significance Existing DL models show consistent and largely high accuracy for automated detection of cephalometric landmarks. The majority of studies so far focused on 2-D imagery; data on 3-D imagery are sparse, but promising. Future studies should focus on demonstrating generalizability, robustness, and clinical usefulness of DL for this objective.


2009 ◽  
pp. 123-141
Author(s):  
Dennis R. Combs ◽  
Dustin J: Chapman ◽  
Casey Reneau

- There has been an increased interest in research on paranoia and persecutory delusions. This is partly based on the idea that paranoia exists on a continuum ranging from sub-clinical to clinical levels. One area of interest is in social cognition as it may provide methods to understand how persons with paranoia perceive, interpret, and understand their social world. Previous research has showed that social cognition directly influences or mediates social functioning. Paranoia can be ideally approached from a social cognitive perspective, which makes understanding these processes even more important. For this review, we will focus on the current state of knowledge for paranoia as it pertains to the three primary domains of social cognition: 1) emotion/social perception, 2) theory of mind, and 3) attributional style. Deficits in emotion/social perception appear to be found across the paranoia continuum. In contrast, deficits in theory of mind and attributional style are typically found in persons with clinical levels of paranoia. Future studies should focus on understanding the processes that might underlie the deficits.


2021 ◽  
Author(s):  
Nayra Anna Martin-Key ◽  
Benedetta Spadaro ◽  
Erin Funnell ◽  
Eleanor Jane Barker ◽  
Thea Sofie Schei ◽  
...  

BACKGROUND Given the role digital technologies are likely to play in the future of mental healthcare, there is a need for a comprehensive appraisal of the current state and validity (i.e., screening/diagnostic accuracy) of digital mental health assessments. OBJECTIVE To explore the current state and validity of question-and-answer-based digital tools for diagnosing and screening psychiatric conditions in adults. METHODS This systematic review was based on the Population, Intervention, Comparison, and Outcome (PICO) framework and was carried out in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. MEDLINE, Embase, Cochrane Library, ASSIA, Web of Science Core Collection, CINAHL, and PsycINFO were systematically searched for articles published between 2005 and 2020. A descriptive evaluation of the study characteristics and digital solutions and a quantitative appraisal of the screening/diagnostic accuracy of the included tools was conducted. Risk of bias and applicability were assessed using the Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) guidelines. RESULTS A total of 25 studies met the inclusion criteria, with the most frequently evaluated conditions encompassing generalized anxiety disorder (GAD), major depressive disorder (MDD), and any depressive disorder. The majority of the studies employed digitized versions of existing pen-and-paper questionnaires, with findings revealing poor to excellent screening/diagnostic accuracy (sensitivity = 0.36-1.00, specificity = 0.37-1.00, AUC = 0.57-0.98) and a high risk of bias for most of the included studies. CONCLUSIONS The current state of the field of digital mental health tools is in its early stages and high-quality evidence is lacking. INTERNATIONAL REGISTERED REPORT RR2-10.2196/25382


2021 ◽  
Vol 19 ◽  
Author(s):  
Lee Hsien Siang ◽  
Alina Arulsamy ◽  
Yeong Keng Yoon ◽  
Mohd. Farooq Shaikh

: Epilepsy is a devastating neurological disorder. Current anti-convulsant drugs are only effective in about 70% of patients, while the rest remain drug-resistant. Thus, alternative methods have been explored to control seizures in these drug-resistant patients. One such method may be through the utilization of fruit phytochemicals. These phytochemicals have been reported to have beneficial properties such as anti-convulsant, anti-oxidant and anti-inflammatory activities. However, some fruits may also elicit harmful effects. This review aims to summarize and elucidate the anti- or pro- convulsant effects of fruits used in relation to seizures, in hopes to provide a good therapeutic reference to epileptic patients and their carers. Three databases; SCOPUS, ScienceDirect and PubMed were utilized for the literature search. Based on the PRISMA guidelines, a total of 40 articles were selected for critical appraisal in this review. Overall, the extracts and phytochemicals of fruits managed to effectively reduce seizure activities in various preclinical seizure models, acting mainly through the activation of the inhibitory neurotransmission and blocking the excitatory neurotransmission. Only star fruit has been identified as a pro-convulsant fruit, which was attributed to the its caramboxin and oxalate compounds. Future studies should focus more on utilizing these fruits as possible treatment strategies for epilepsy.


Author(s):  
Jake M Robinson ◽  
Ross Cameron ◽  
Brenda Parker

Globally, anthropogenic sound and artificial light pollution have increased to alarming levels. Evidence suggests that these can disrupt critical processes that impact ecosystems and human health. However, limited focus has been given to the potential effects of sound and artificial light pollution on microbiomes. Microbial communities are the foundations of our ecosystems. They are essential for human health and provide myriad ecosystem services. Therefore, disruption to microbiomes by anthropogenic sound and artificial light could have important ecological and human health implications. In this mini-review, we provide a critical appraisal of available scientific literature on the effects of anthropogenic sound and light exposure on microorganisms and discuss the potential ecological and human health implications. Our mini-review shows that a limited number of studies have been carried out to investigate the effects of anthropogenic sound and light pollution on microbiomes. However, based on these studies, it is evident that anthropogenic sound and light pollution have the potential to significantly influence ecosystems and human health via microbial interactions. Many of the studies suffered from modest sample sizes, suboptimal experiments designs, and some of the bioinformatics approaches used are now outdated. These factors should be improved in future studies. This is an emerging and severely underexplored area of research that could have important implications for global ecosystems and public health. Finally, we also propose the photo-sonic restoration hypothesis: does restoring natural levels of light and sound help to restore microbiomes and ecosystem stability?


2016 ◽  
Vol 130 (5) ◽  
pp. 425-430 ◽  
Author(s):  
N Jufas ◽  
N Patel

AbstractObjective:To investigate the evidence for balloon dilatation of the eustachian tube using a transtympanic approach.Methods:A systematic search of several databases was conducted (using the search terms ‘dilation’ or ‘dilatation’, and ‘balloon’ and ‘eustachian tube’). Only studies that used a transtympanic approach for the procedure were included. These studies were then assessed for risk of bias.Results:Three studies were included. Each of these studies was a limited case series, with two performed on human subjects and one on human cadavers. Results of safety and efficacy are conflicting. There is a high risk of bias overall.Conclusion:At present, there is a very narrow evidence base for transtympanic balloon dilatation of the eustachian tube. There are a number of advantages and disadvantages of the technique. Previously identified and theoretical safety concerns will need to be addressed thoroughly in future studies prior to wider clinical use.


1913 ◽  
Vol 13 (3-4) ◽  
pp. 171-175
Author(s):  
A. E. Lehman

The large intestine, like all other organs of plant life, receives nerves of two kinds, belonging to the sympathetic and autonomic nervous systems. The first includes item n. hypogastrici with n. n. mesenterici inferiores, to the second n. n. erigentes (Eckhard) or Langley'io pelvici. The sympathetic nerves of the intestine depart from the nerve node g. meseutericum inferius, located on the anterior surface of the abdominal aorta at the point of departure of the lower mesenteric artery; n. erigens usually (in dogs) originates from the 1st, 2nd and 3rd sacral nerves and, before reaching the large intestine, enters the nerve plexus located on the sides of the pelvic floor - plexus hypogastricus, into which it enters and also takes part in its formation a pair of sympathetic nerves - n. n. hypogastrici.


Metabolites ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 120
Author(s):  
Thomas M. O’Connell

There is an ever-increasing appreciation for our gut microbiota that plays a crucial role in the maintenance of health, as well as the development of disease. Probiotics are live bacteria that are consumed to increase the population of beneficial bacteria and prebiotics are dietary substrates intended to promote the propagation of beneficial bacteria. In order to optimize the use of probiotics and prebiotics, a more complete biochemical understanding of the impact that these treatments have on the community and functioning of the gut microbiota is required. Nucleic acid sequencing methods can provide highly detailed information on the composition of the microbial communities but provide less information on the actual function. As bacteria impart much of their influence on the host through the production of metabolites, there is much to be learned by the application of metabolomics. The focus of this review is on the use of metabolomics in the study of probiotic and prebiotic treatments in the context of human clinical trials. Assessment of the current state of this research will help guide the design of future studies to further elucidate the biochemical mechanism by which probiotics and prebiotics function and pave the way toward more personalized applications.


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