bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accuracy of intraoral real-time navigation versus static, CAD/CAM-manufactured pilot drilling guides in dental implant surgery: an in vitro study
Authors: Stünkel Robert , Zeller Alexander-Nicolai , Bohne Thomas , Böhrnsen Florian , Wedi Edris , Raschke David , Kauffmann Philipp 
Published: October 2022

Abstract
Background
Nowadays, 3D planning and static for dynamic aids play an increasing role in oral rehabilitation of the masticatory apparatus with dental implants. The aim of this study is to compare the accuracy of implant placement using a 3D-printed drilling guide and an intraoral real-time dynamic navigation system.

Methods
A total of 60 implants were placed on 12 partially edentulous lower jaw models. 30 were placed with pilot drilling guides, the other half with dynamic navigation (DENACAM®). In addition, implant placement in interdental gaps and free-end situations were investigated. Accuracy was assessed by cone-beam computed tomography (CBCT).

Results
Both systems achieved clinically acceptable results, yet more accurate results regarding the offset of implant base and tip in several spatial dimensions were achieved using drilling guides (each p < 0.05). With regard to angulation, real-time navigation was more precise (p = 0.0016). Its inaccuracy was 3°; the template-guided systems was 4.6°. Median horizontal deviation was 0.52 mm at base and 0.75 mm at tip using DENACAM®. When using the pilot drill guide, horizontal deviation was 0.34 mm in the median and at the tip by 0.59 mm. Regarding angulation, it was found that the closer the drill hole was to the system's marker, the better navigation performed. The template did not show this trend (p = 0.0043; and p = 0.0022).

Conclusion
Considering the limitations of an in vitro study, dynamic navigation can be used be a tool for reliable and accurate implantation. However, further clinical studies need to follow in order to provide an evidence-based recommendation for use in vivo.
The role of extracellular vesicles in osteoarthritis treatment via microenvironment regulation
Authors: Yin Han , Li Muzhe , Tian Guangzhao , Ma Yang , Ning Chao , Yan Zineng , Wu Jiang , Ge Qian , Sui Xiang , Liu Shuyun , Zheng Jinxuan , Guo Weimin , Guo Quanyi 
Published: October 2022

Abstract
Osteoarthritis (OA) is a degenerative joint disease that is common among the middle-aged and older populations, causes patients to experience recurrent pain in their joints and negatively affects their quality of life. Currently, therapeutic options for patients with OA consist of medications to alleviate pain and treat the symptoms; however, due to typically poor outcomes, patients with advanced OA are unlikely to avoid joint replacement. In recent years, several studies have linked disrupted homeostasis of the joint cavity microenvironment to the development of OA. Recently, extracellular vesicles (EVs) have received increasing attention in the field of OA. EVs are natural nano-microcarrier materials with unique biological activity that are produced by cells through paracrine action. They are composed of lipid bilayers that contain physiologically active molecules, such as nucleic acids and proteins. Moreover, EVs may participate in local and distal intercellular and intracellular communication. EVs have also recently been shown to influence OA development by regulating biochemical factors in the OA microenvironmental. In this article, we first describe the microenvironment of OA. Then, we provide an overview of EVs, summarize the main types used for the treatment of OA, and describe their mechanisms. Next, we review clinical studies using EVs for OA treatment. Finally, the specific mechanism underlying the application of miRNA-enriched EVs in OA therapy is described.
Acute-onset chronic inflammatory demyelinating polyneuropathy complicating SARS-CoV-2 infection and Ad26.COV2.S vaccination: report of two cases
Authors: Fotiadou Aggeliki , Tsiptsios Dimitrios , Karatzetzou Stella , Kitmeridou Sofia , Iliopoulos Ioannis 
Published: October 2022

Abstract
Background
The spectrum of reported neurological sequelae associated with SARS-CoV-2 is continuously expanding, immune mediated neuropathies like Guillain–Barre syndrome (GBS) and exacerbations of preexisting chronic inflammatory demyelinating polyneuropathy (CIDP) being among them. However, respective cases of acute onset CIDP (A-CIDP) are rare.

Case presentation
We hereby report two cases of A-CIDP after COVID-19 infection and Ad26.COV2.S vaccination that presented with flaccid paraparesis and acroparesthesias (Case presentation 1; female, 52) and facial diplegia accompanied by acroparesthesias (Case presentation 2; male, 62), respectively. In both instances clinical, neurophysiological and CSF findings were indicative of acute inflammatory demyelinating polyneuropathy, thus both patients were initially treated with intravenous immunoglobulins resulting in clinical improvement. Nevertheless, the first patient relapsed 5 weeks after the initial episode, thus was diagnosed with GBS with treatment related fluctuations (GBS-TRF) and treated successfully with seven plasma exchange (PLEX) sessions. However, 11 weeks from symptom onset she relapsed again. Taking into account that the second relapse occurred more than 8 weeks after the first episode, the potential diagnosis of A-CIDP was reached and oral dexamethasone 40 mg/d for 4 consecutive days every 4 weeks was administered. With regards to the second patient, he relapsed > 8 weeks after the initial episode, thus was also diagnosed with A-CIDP and treated with 7 PLEX sessions followed by similar to the aforementioned corticosteroid therapy. On 2 month follow-up both patients exhibited remarkable clinical improvement.

Conclusions
Close surveillance of patients presenting with immune neuropathies in the context of SARS-CoV-2 infection or immunization is crucial for timely implementation of appropriate treatment. Prompt A-CIDP distinction from GBS-TRF is of paramount importance as treatment approach and prognosis between these two entities differ.
Effects of freeze-thaw cycles on physicochemical properties and structure of cooked crayfish (Procambarus clarkii)
Authors: Han Jiping , Sun Yingjie , Sun Rongxue , Zhang Tao , Wang Cheng , Jiang Ning 
Published: October 2022

AbstractTo explore the damage mechanisms of freeze-thaw cycles on cooked crayfish in frozen storage, changes in the physicochemical properties and structure of cooked crayfish during the freeze-thaw cycles were investigated. The physicochemical properties of cooked crayfish changed significantly after five freeze-thaw cycles. The moisture content, water holding capacity, pH, and textural properties were decreased, while the total color difference, drip loss, and protein and lipid oxidation were significantly increased (P < 0.05). LF-NMR and MRI verified the water loss, and SDS-PAGE showed denaturation/degradation of myofibrillar proteins (MPs). Multiple freeze-thaw cycles promoted the transition from α-helix to β-turn in the secondary structure, the unfolding of tertiary structure, and a significant change in the chemical forces of MPs. SEM results revealed a disruption in the microstructure of muscle fibers. Repeated freeze-thaw cycles reduced the moisture content and distorted the structure of MPs in cooked crayfish, resulting in the disruption of physicochemical properties and its structure.
Graphical Abstract
Cognitive and neurobehavioral patterns in a sample of Egyptian patients genetically diagnosed with Duchenne muscular dystrophy
Authors: Sayed Maha Mohamed , Fahmy Nagia Aly , El Habiby Mahmoud Mamdouh Mohamed , Elsayed Nermine Salah Eldin , El Bukhari Sara Mohamed Kamal Mohamed , Naguib Rehab Mohamed 
Published: October 2022

Abstract
Background
Children with Duchenne muscular dystrophy report a higher rate of cognitive and psychiatric disorders relative to general population. This study will describe and compare the psychiatric and cognitive problems in DMD patients with healthy controls.

Results
A statistically significant difference was found between the case and control groups regarding Total IQ (TIQ) with a mean of (82 ± 16) in cases compared to (94 ± 10) in controls, in which 58% of DMD boys had <90 TIQ and 40% less than 70. We also found that 58% of cases have delayed onset of speech, 38% have attention-deficit/hyperactivity disorder, 6% have autism spectrum disorder, 14% have anxiety disorders, and 22% have major depressive disorder. Ninety-two percent of cases had deletion mutations.

Conclusions
According to our results, we conclude that boys with DMD had a lower Total IQ and higher rate of psychiatric disorders than the general population. Also, school attendance and speech development are more affected in DMD patients compared to controls, with more speech delay and dropping out of school. So, the authors of this study recommend establishing cognitive and psychiatric screening as a routine in the evaluation and follow-up of DMD children.
Deauville score versus ratio Deauville score in the interpretation of interim 18F-FDG PET-CT and in prediction of outcome in children with FDG-avid extra-nodal lymphomas
Authors: Elhamady Hadeer Yousef , Mostafa Hosna Mohamed , Elsayed Huda Fathy , Abo-ElAzm Omnia Mohamed , Hussein Mohamed Hany 
Published: October 2022

Abstract
Background
Pediatric lymphoma is a common hematological neoplasm, representing the third most frequent childhood malignancy. 18F-fluoro-2-deoxyglucose–positron emission tomography has been found to be useful in lymphoma staging, prediction of prognosis and risk stratification of lymphoma patients. Although the interpretation of interim PET (after two cycles of chemotherapy) using the qualitative visual method of 5-point Deauville score has been widely accepted, semiquantitative methods of interpretation were evaluated by many studies and showed a better prediction of prognosis. The purpose of this study was to evaluate the prognostic role of the semiquantitative ratio Deauville score (rDS), defined as the ratio between target lesion and liver maximum standardized uptake values in children with FDG-avid extra-nodal lymphomas, undergoing interim FDG-PET/CT, and to compare it with the 5-point Deauville score (5p-DS).

Methods
This prospective study included 89 children with FDG-avid extra-nodal lymphoma. Interim PET was interpreted using both visual (5p-DS) and the semiquantitative method (rDS). The visual method depends on visual comparison of FDG uptake between lesions and liver as a reference organ for activity and considered lesions with activity higher than liver to be positive, while the semiquantitative method depends on making a ratio between the most active lesion and liver SUVmax. Receiver operating characteristic approach was applied to identify the optimal cut-point of rDS with respect to response to therapy and prognosis, and the prognostic significance of rDS was compared with 5p-DS.

Results
The ROC analysis for rDS as a predictor of progression showed an optimal cut-point of 1.25. Both 5p-DS and rDS were strong outcome predictors. Patients with negative 5p-DS and patients with rDS < 1.25 had a similar 3-year PFS (87%). Patients with a positive 5p-DS had a 3-year PFS of 67.4%, while patients with rDS > 1.25 had a 3-year PFS of 60%.

Conclusions
rDS could be suggested as an accurate prognostic factor in children with lymphoma undergoing interim FDG-PET/CT. However, larger studies with more homogenous sample regarding histopathological subtypes and chemotherapy lines are needed to confirm these data.
Arab healthcare professionals’ knowledge and perception of occupational therapy
Authors: Sarsak Hassan Izzeddin 
Published: October 2022

Abstract
Background
Occupational therapy (OT) services are not widespread and not well-represented or integrated into many healthcare settings. As a result, OT is not available at many clinical and rehabilitation institutions, which has led to both poor access and reduced knowledge and benefit from OT in many countries worldwide and in the Arab region.

Objective
To examine Arab healthcare professionals’ level of knowledge and perception of OT in an attempt to identify what action is required to enhance awareness and promote OT profession.

Methods
A descriptive online survey was conducted for healthcare professionals from different disciplines and Arab countries to obtain their knowledge and perceptions of OT.

Results
A total of 281 healthcare professionals completed the survey (57% were male). Of the total, only 96 (34.2%) have had worked with OT before, 144 (51.2%) were uncertain about the main domain of OT, 98 (34.9%) were not fully aware of the diverse OT healthcare work settings and different health conditions handled by OT, and 126 (44.8%) were not sure about the difference between OT and physical therapy (PT). Almost two third of the sample (187; 66.5%) were not satisfied with their knowledge of OT, 195 (69.4%) showed interest in learning further about OT, and 209 (74.4%) agreed that OT plays a vital role in the interdisciplinary rehabilitation team. There were significant associations between the participants’ knowledge of OT and their specialty (p = 0.01) and years of experience (p = 0.02).

Conclusion
Most Arab healthcare professionals perceive OT as playing a vital role in the interdisciplinary rehabilitation team. However, OT is not clearly understood and healthcare professionals are not well-educated about OT services and benefits. There is an emerging need to educate healthcare professionals on the focus areas of OT practice. Promoting and advocating for OT is key and crucial.
Deep physics-aware stochastic seismic inversion
Authors: Bürkle Paula Yamada , Azevedo Leonardo , Vellasco Marley 
Published: October 2022

Seismic inversion allows the prediction of subsurface properties from seismic reflection data and is a key step in reservoir modeling and characterization. With the generalization of machine learning in geophysics, deep learning methods have been proposed as efficient seismic inversion methods. However, most of these methods lack a probabilistic approach to deal with the uncertainties inherent in the seismic inversion problem and/or rely on complete and representative training data, which often is partially or scarcely available. We have explored the ability of deep convolutional neural networks to extract meaningful and complex representations from spatially structured data, combined with geostatistical simulation, to efficiently invert poststack seismic data directly for high-resolution models of acoustic impedance. Our model incorporates physics constraints and sparse direct measurements while leveraging the use of imprecise but widely distributed indirect measurements as represented by the seismic data. The models generated with geostatistical simulation provide additional information with higher spatial resolution than the original seismic data and allow assessing uncertainty in the model predictions by generating multiple realizations of the subsurface properties. Our method can (1) provide an uncertainty assessment of the predictions, (2) model the complex and nonlinear relationship between data and model, (3) extend the seismic bandwidth at low and high ends of the frequency parameters spectrum, and (4) lessen the need for large, annotated training data. Our method is applied to a 1D synthetic example and a real 3D application example from a Brazilian reservoir. The predicted impedance models are compared with those obtained from a full iterative geostatistical seismic inversion. Our method allows retrieving similar models but has the advantage of generating alternative solutions in greater numbers, providing a larger exploration of the model parameter space in less time than the iterative geostatistical seismic inversion.
Handling missing data in well-log curves with a gated graph neural network
Authors: Jiang Chunbi , Zhang Dongxiao , Chen Shifeng 
Published: October 2022

Well logging is a common method that is used to obtain the rock properties of a formation. It is relatively frequent, however, that log information is incomplete due to cost limitations or borehole problems. Existing models predict missing well logs from a fixed combination of other available well logs. However, the missing well logs vary from well to well. We have proposed using a gated graph neural network (GNN) to handle the missing values in well-log curves. It takes sequential data, predicting each missing measurement in the data not only using other available variables measured at the same depth but also available measurements of neighboring observations. Meanwhile, the missing well logs and available well logs could be any possible combinations as long as they are mutually exclusive. This approach has two advantages: (1) the gated GNN does not need to build a specific model for each missing measurement or from every possible combination of available measurements and (2) it can be integrated into the training process of the following predictive model to perform classification tasks. We evaluate the gated GNN model along with two other models: the GRAPE model and the multiple imputation by chained equations (MICE)-gated recurrent unit (GRU) model, on a data set from the North Sea to perform a missing feature imputation task and a lithofacies identification task. The GRAPE model also is a graph-based model, and it predicts values for each missing measurement from available variables measured at the same depth. The MICE-GRU model is a combination of the MICE algorithm and GRU, which handles the feature imputation procedure and the lithofacies identification procedure separately. Our experiments find that the gated GNN model outperforms the MICE algorithm and the GRAPE model on the missing feature imputation task. For the lithofacies identification task, the gated GNN model also provides comparable results to the MICE-GRU model, and they both outperform the GRAPE model.
Automated Ascertainment of Typhlitis From the Electronic Health Record
Authors: Miller Tamara P. , Li Yimei , Masino Aaron J. , Vallee Emma , Burrows Evanette , Ramos Mark , Alonzo Todd A. , Gerbing Robert , Castellino Sharon M. , Hawkins Douglas S. , Lash Timothy L. , Aplenc Richard , Grundmeier Robert W. 
Published: October 2022

PURPOSEAdverse events (AEs) on Children's Oncology Group (COG) trials are manually ascertained using Common Terminology Criteria for Adverse Events. Despite significant effort, we previously demonstrated that COG typhlitis reporting sensitivity was only 37% when compared with gold standard physician chart abstraction. This study tested an automated typhlitis identification algorithm using electronic health record data.METHODSElectronic health record data from children with leukemia age 0-22 years treated at a single institution from 2006 to 2019 were included. Patients were divided into derivation and validation cohorts. Rigorous chart abstraction of validation cohort patients established a gold standard AE data set. We created an automated algorithm to identify typhlitis matching Common Terminology Criteria for Adverse Events v5 that included antibiotics, neutropenia, and non-negated mention of typhlitis in a note. We iteratively refined the algorithm using the derivation cohort and then applied the algorithm to the validation cohort; performance was compared with the gold standard. For patients on trial AAML1031, COG AE report performance was compared with the gold standard.RESULTSThe derivation cohort included 337 patients. The validation cohort included 270 patients (961 courses). Chart abstraction identified 16 courses with typhlitis. The algorithm identified 37 courses with typhlitis; 13 were true positives (sensitivity 81.3%, positive predictive value 35.1%). For patients on AAML1031, chart abstraction identified nine courses with typhlitis, and COG reporting correctly identified 4 (sensitivity 44.4%, positive predictive value 100.0%).CONCLUSIONThe automated algorithm identified true cases of typhlitis with higher sensitivity than COG reporting. The algorithm identified false positives but reduced the number of courses needing manual review by 96% (961 to 37) by detecting potential typhlitis. This algorithm could provide a useful screening tool to reduce manual effort required for typhlitis AE reporting.
Psycho, Pharmaco and Sex therapy for the treatment of Premature Ejaculation
Authors: Bukhari Syeda Razia 
Published: October 2022

Pakistani’s men with Premature ejaculation (PE) hardly prefer to go for treatment due to cultural barriers (men dominating society). This research objective is the gives knowledge about the effective treatment of premature ejaculation, how it can be effectively treated with the help of different techniques. Premature ejaculation (PE) is happened when a man has an orgasm and ejaculated earlier at the time of intercourse then he or his spouse would like. PE is a men sexual dysfunction that creates a significant anguish for men, partner and their relationships’. Premature ejaculation is not only one illness; it contains 4 subtypes with a unique psychological concern and problems (longtime, acquired, organic and subjective). PE men and couples are treated psychologically for sexual ability but also for self-esteem, performance anxiety and interpersonal disputes. Psychotherapy outcomes alone are hard to compare and to appreciate due to insufficient methodology (lacking control groups, limited sample sizes, poor results and insufficient monitoring). Rare researches, however, which overcome these methodological barriers, indicate that psychological intervention provides a promising treatment choice for men and partners. A detail literature review was done via an electronic database, “Cochrane library databases”, “PsychInfo”, and “PubMed” from June to July 2021. The most effective procedure for lifetime and acquired PE is pharmaco- and psychotherapy combination. Men and partners develop sexual abilities and resolve the intra-psychological, interpersonal and cognitive problems that trigger and sustain dysfunction.
doi: https://doi.org/10.12669/pjms.38.8.5217
How to cite this:Bukhari SR. Psycho, Pharmaco and Sex therapy for the treatment of Premature Ejaculation. Pak J Med Sci. 2022;38(8):---------. doi: https://doi.org/10.12669/pjms.38.8.5217
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