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  • Open Access

    ARTICLE

    Prevalence and characterization of dyspareunia in a general urology clinic population

    Clinton Yeaman1, Jacqueline Zillioux1, Kimberly Boatman2, Sarah Krzastek3, David E. Rapp1

    Canadian Journal of Urology, Vol.28, No.6, pp. 10929-10935, 2021

    Abstract Introduction: To assess the character and prevalence of dyspareunia in a general urology population presenting for evaluation of unrelated non-painful complaints.
    Materials and methods: This is an IRB-approved, prospective, cross-sectional survey-based assessment of dyspareunia in a general cohort of female patients presenting to a urology clinic over a 10-month period (7/2018-5/2019). Patients presenting specifically for acute painful complaints were excluded. Participating patients completed an original 23-item survey with questions pertaining to dyspareunia. Specific focus was placed on pain characteristics, including location, quality, frequency, severity, and quality of life. Descriptive analysis, pain mapping, and plotting analyses were performed… More >

  • Open Access

    ARTICLE

    A narcotic free pathway for postoperative pain following urethroplasty

    Eileen R. Byrne1, Thomas W. Fuller2, Sunchin Kim3, Engy T. Said4, Jill C. Buckley1

    Canadian Journal of Urology, Vol.28, No.6, pp. 10914-10919, 2021

    Abstract Introduction: In an effort to decrease physician contribution to the opioid crisis, we utilized a narcotic free pathway (NFP) after urethroplasty. Our objectives were to demonstrate feasibility of a NFP and identify patients at higher risk for requiring postoperative narcotics.
    Materials and methods: We implemented a NFP for patients undergoing urethroplasty. Pain was assessed using the Likert scale (1-10). Narcotic use was quantified using oral morphine equivalents (OMEs).
    Results: Forty-six patients underwent urethroplasty following the NFP over a 7-month period. Fifteen patients were excluded, leaving 31 patients in the final analysis. Postintervention data was compared to 30 patients… More >

  • Open Access

    RESIDENT’S CORNER

    Celiac plexus block for chronic flank pain: a case series

    William W. French1, Joseph M. Kuebker2, Xiang Shu3, Christopher M. Sobey4, Ryan S. Hsi2

    Canadian Journal of Urology, Vol.28, No.1, pp. 10556-10559, 2021

    Abstract Non-obstructive, chronic flank pain in urologic patients can be a challenging problem to manage. In this series, we examined the efficacy of celiac plexus blockade in providing pain relief and reducing opiate use in 14 adult urology patients with non-obstructive flank pain for > 1 year. Demographic, clinical, and procedural variables were collected from the medical record for retrospective analysis. Subjective improvement in pain occurred in 11 individuals (79%), and 5 (50%) were able to reduce their daily morphine equivalent dose (MED). Celiac plexus blockade is a viable option for symptomatic relief in urologic patients More >

  • Open Access

    ARTICLE

    Stent duration and increased pain in the hours after ureteral stent removal

    Michael E. Rezaee1, Annah J. Vollstedt1, Tammer Yamany2, Manoj Monga3,4, Amy Krambeck4,5, Ojas Shah4,6, Roger L. Sur3,4, Anna M. Zampini4,7, Kymora B. Scotland4,8, Ben H. Chew4,8, Brian H. Eisner2,4, Vernon M. Pais Jr1,4

    Canadian Journal of Urology, Vol.28, No.1, pp. 10516-10521, 2021

    Abstract Introduction: To assess the relationship between pain after ureteral stent removal and patient and procedural factors.
    Materials and methods: A validated survey designed to assess the relationship between quality of life and treatment decisions in kidney stone disease was randomly distributed to patients with a history of a ureteral stent in seven medical centers across North America participating in an endourology research collaborative between July 2016 and June 2018. The primary outcome was increased pain after ureteral stent removal. Statistical analyses were performed using Chi-square and multiple logistic regression.
    Results: A total of 327 surveys were analyzed. Twenty… More >

  • Open Access

    ARTICLE

    Uncertainties in the Mercury Mass Balance in a Coal-Based IGCC Power Plant (Puertollano, Spain)

    José María Esbrí*, Alba Martinez-Coronado, Sofía Rivera Jurado, Eva García-Noguero, Pablo Higueras

    Energy Engineering, Vol.118, No.4, pp. 1223-1235, 2021, DOI:10.32604/EE.2021.015781 - 31 May 2021

    Abstract Mercury (Hg) is a global pollutant that is subject to strict regulations to reduce anthropogenic emissions. The production of energy represents an important activity that leads to Hg emissions into the atmosphere. Of all the systems used, IGCC plants are the most promising for reducing Hg emissions, since it is possible to remove Hg from syngas prior to combustion. The aim of the present work was to evaluate the presence of Hg in the main streams of an experimental IGCC plant (ELCOGAS, Puertollano) in order to quantify Hg emissions and investigate the possibility of reducing… More >

  • Open Access

    ARTICLE

    UFC-Net with Fully-Connected Layers and Hadamard Identity Skip Connection for Image Inpainting

    Chung-Il Kim1, Jehyeok Rew2, Yongjang Cho2, Eenjun Hwang2,*

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3447-3463, 2021, DOI:10.32604/cmc.2021.017633 - 06 May 2021

    Abstract Image inpainting is an interesting technique in computer vision and artificial intelligence for plausibly filling in blank areas of an image by referring to their surrounding areas. Although its performance has been improved significantly using diverse convolutional neural network (CNN)-based models, these models have difficulty filling in some erased areas due to the kernel size of the CNN. If the kernel size is too narrow for the blank area, the models cannot consider the entire surrounding area, only partial areas or none at all. This issue leads to typical problems of inpainting, such as pixel More >

  • Open Access

    ARTICLE

    A Machine Learning Approach for Expression Detection in Healthcare Monitoring Systems

    Muhammad Kashif1, Ayyaz Hussain2, Asim Munir1, Abdul Basit Siddiqui3, Aaqif Afzaal Abbasi4, Muhammad Aakif5, Arif Jamal Malik4, Fayez Eid Alazemi6, Oh-Young Song7,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2123-2139, 2021, DOI:10.32604/cmc.2021.014782 - 05 February 2021

    Abstract Expression detection plays a vital role to determine the patient’s condition in healthcare systems. It helps the monitoring teams to respond swiftly in case of emergency. Due to the lack of suitable methods, results are often compromised in an unconstrained environment because of pose, scale, occlusion and illumination variations in the image of the face of the patient. A novel patch-based multiple local binary patterns (LBP) feature extraction technique is proposed for analyzing human behavior using facial expression recognition. It consists of three-patch [TPLBP] and four-patch LBPs [FPLBP] based feature engineering respectively. Image representation is… More >

  • Open Access

    ARTICLE

    Self-Management of Low Back Pain Using Neural Network

    Purushottam Sharma1, Mohammed Alshehri2,*, Richa Sharma1, Osama Alfarraj3

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 885-901, 2021, DOI:10.32604/cmc.2020.012251 - 30 October 2020

    Abstract Low back pain (LBP) is a morbid condition that has afflicted several citizens in Europe. It has negatively impacted the European economy due to several man-days lost, with bed rest and forced inactivity being the usual LBP care and management steps. Direct models, which incorporate various regression analyses, have been executed for the investigation of this premise due to the simplicity of translation. However, such straight models fail to completely consider the impact of association brought about by a mix of nonlinear connections and autonomous factors.In this paper, we discuss a system that aids decision-making… More >

  • Open Access

    ARTICLE

    A 360-Degree Panoramic Image Inpainting Network Using a Cube Map

    Seo Woo Han, Doug Young Suh*

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 213-228, 2021, DOI:10.32604/cmc.2020.012223 - 30 October 2020

    Abstract Inpainting has been continuously studied in the field of computer vision. As artificial intelligence technology developed, deep learning technology was introduced in inpainting research, helping to improve performance. Currently, the input target of an inpainting algorithm using deep learning has been studied from a single image to a video. However, deep learning-based inpainting technology for panoramic images has not been actively studied. We propose a 360-degree panoramic image inpainting method using generative adversarial networks (GANs). The proposed network inputs a 360-degree equirectangular format panoramic image converts it into a cube map format, which has relatively More >

  • Open Access

    ARTICLE

    Injection location does not impact botulinum toxin Aeffcacy in interstitial cystitis/bladder pain syndrome patients

    Robert J. Evans1, Tyler Overholt1, Marc Colaco1, Stephen J. Walker1,2

    Canadian Journal of Urology, Vol.27, No.1, pp. 10125-10129, 2020

    Abstract Introduction: Botulinum toxin A (BTX-A) is currently used as a fourth-line therapeutic option for interstitial cystitis/bladder pain syndrome (IC/BPS) management. The purpose of this study was to determine if BTX-A injection can mitigate pain and if injection location (i.e., trigone-including versus trigone-sparing injection template) impacts treatment efficacy and/or treatment complications profile.
    Materials and methods: Female IC/BPS patients refractory to conservative management strategies were prospectively enrolled and asked to complete a baseline history and physical exam, post-void residual (PVR) urine volume determination, O’Leary Sant (OLS) questionnaire, and Pelvic Pain and Urgency/Frequency Symptom Scale (PUF) questionnaire. Participants were randomly… More >

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