1.A Novel Incisionless Disposable Vaginal Device for Female Stress Urinary Incontinence: Efficacy and Quality of Life
Chung Lyul LEE ; Jong Mok PARK ; Ji Yong LEE ; Seung Woo YANG ; Hyun Seok NA ; Jaegeun LEE ; Sunkyung JUNG ; Ju Hyun SHIN
International Neurourology Journal 2023;27(Suppl 1):S40-48
Purpose:
This clinical study sought to evaluate the possible clinical effectiveness and practicality of URINO, an innovative, incisionless, and disposable intravaginal device, designed for patients suffering from stress urinary incontinence.
Methods:
A prospective, multicenter, single-arm clinical trial was carried out, involving women diagnosed with stress urinary incontinence who used a self-inserted, disposable intravaginal pessary device. Comparisons were made between the results of the 20-minute pad-weight gain (PWG) test at baseline and visit 3, where the device was applied. After 1 week of device usage, compliance, satisfaction, the sensation of a foreign body, and adverse events were assessed.
Results:
Out of 45 participants, 39 completed the trial and expressed satisfaction within the modified intention-to-treat group. The average 20-minute PWG of participants was 17.2±33.6 g at baseline and significantly dropped to 5.3±16.2 g at visit 3 with device application. A total of 87.2% of participants exhibited a reduction ratio of PWG by 50% or more, surpassing the clinical trial success benchmark of 76%. The mean compliance was recorded as 76.6%±26.6%, the average visual analogue scale score for patient satisfaction was 6.4±2.6, and the sensation of a foreign body, measured on a 5-point Likert scale, was 3.1±1.2 after 1 week of device use. No serious adverse events were reported; there was 1 instance of microscopic hematuria and 2 cases of pyuria, all of which recovered.
Conclusions
The investigated device demonstrated significant clinical effectiveness and safety for patients with stress urinary incontinence. It was easy to use, showing favorable patient compliance. We propose that these disposable intravaginal pessaries could potentially be an alternative treatment for patients with stress urinary incontinence who are seeking nonsurgical options or are unable to undergo surgery.Trial Registration: The study was registered as a clinical trial (KCT0008369).
2.Machine Learning Approaches for the Prediction of Prostate Cancer according to Age and the Prostate-Specific Antigen Level
Jaegeun LEE ; Seung Woo YANG ; Seunghee LEE ; Yun Kyong HYON ; Jinbum KIM ; Long JIN ; Ji Yong LEE ; Jong Mok PARK ; Taeyoung HA ; Ju Hyun SHIN ; Jae Sung LIM ; Yong Gil NA ; Ki Hak SONG
Korean Journal of Urological Oncology 2019;17(2):110-117
PURPOSE: The aim of this study was to evaluate the applicability of machine learning methods that combine data on age and prostate-specific antigen (PSA) levels for predicting prostate cancer. MATERIALS AND METHODS: We analyzed 943 patients who underwent transrectal ultrasonography (TRUS)-guided prostate biopsy at Chungnam National University Hospital between 2014 and 2018 because of elevated PSA levels and/or abnormal digital rectal examination and/or TRUS findings. We retrospectively reviewed the patients’ medical records, analyzed the prediction rate of prostate cancer, and identified 20 feature importances that could be compared with biopsy results using 5 different algorithms, viz., logistic regression (LR), support vector machine, random forest (RF), extreme gradient boosting, and light gradient boosting machine. RESULTS: Overall, the cancer detection rate was 41.8%. In patients younger than 75 years and with a PSA level less than 20 ng/mL, the best prediction model for prostate cancer detection was RF among the machine learning methods based on LR analysis. The PSA density was the highest scored feature importances in the same patient group. CONCLUSIONS: These results suggest that the prediction rate of prostate cancer using machine learning methods not inferior to that using LR and that these methods may increase the detection rate for prostate cancer and reduce unnecessary prostate biopsy, as they take into consideration feature importances affecting the prediction rate for prostate cancer.
Biopsy
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Chungcheongnam-do
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Digital Rectal Examination
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Forests
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Humans
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Logistic Models
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Machine Learning
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Medical Records
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Prostate
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Prostate-Specific Antigen
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Prostatic Neoplasms
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Retrospective Studies
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Support Vector Machine
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Ultrasonography
3.Optimization of Exposure Condition and Photographic Techniques for Specimen and Devices in Neuroangiographic Suites.
Soonchan PARK ; Ok Kyun LIM ; Jin Ho YOUN ; Tae il KIM ; Seon Moon HWANG ; Han Soo KIM ; Jaegeun SHIM ; Eun Hye KIM ; Yun Gyeong JEONG ; Ha Young LEE ; Bohyun KIM ; Deok Hee LEE ; Dae Chul SUH
Neurointervention 2010;5(2):91-96
PURPOSE: We analyzed factors related to quality of photographs taken at neuroangiographic suites to optimize exposure condition. MATERIALS AND METHODS: We used a camera (EOS-300D, Canon Inc., Tokyo) with a standard- (EF-S 18-55 mm F3.5-5.6 USM, Canon Inc., Tokyo) and a macro-lens (EF 100 mm f/2.8 Macro USM, Canon Inc., Tokyo). Photographs were taken at a light-booth (1000 lux) and 2 neuroangiographic suites (988 and 856 lux) under ordinary intensity of illumination. We took photographs of a test chart (ColorChecker, X-rite, Michigan) and Kodak Q-13 Grey Scale Card at different values of aperture and shutter speed with fixed ISO of 400 and assessed the quality of photographs by Blade Pro (V1.1, Image group, Seoul). We analyzed photographs of a device at 1/25-1/80 shutter speed and F12 - 20 apertures and compared the result and also made visual assessment. RESULTS: Photographs of test chart and Grey Scale Card revealed that the best images chosen by Blade Pro were distributed in scattered range of quality which could help understand the range of optimum exposure condition but was not suitable for practical usage. We obtained reasonable quality photograph at shutter speed of 1/40 and aperture of F16 that can be used in 3 places. CONCLUSION: The most appropriate exposure condition when taking photographs in neuroangiographic suites could be explored. To get an optimal image in limited illumination, it is mandatory to select a fast enough shutter speed to avoid motion artifacts and a sufficient aperture to actualize the subject depth.
Artifacts
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Lighting