http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Nackeeran Sirpi (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Survey of Microsurgery Training Availability in US Urology Residency Programs
Masterson Thomas A.,Nackeeran Sirpi,Rainer Quinn,Hauser Nicholas,Marcovich Robert,Ramasamy Ranjith 대한남성과학회 2021 The World Journal of Men's Health Vol.39 No.2
Purpose: The Accreditation Council of Graduate Medical Education (ACGME) establishes surgical minimum numbers of cases for urologic training. Currently there is not a requirement for microsurgery, likely from a belief that programs do not offer exposure. In an effort to evaluate the availability of microsurgery training among urology residency programs we surveyed the programs. Materials and Methods: We obtained a list of the 138 ACGME-accredited urology residencies and contact information the American Urology Association (AUA). We contacted the residency programs by phone and e-mail. For programs that did not reply, we performed a search of the program website. We answered 3-questions to assess resident subspecialty training in microsurgery and used penile implant and artificial urinary sphincters as a comparison. Data are reported as frequencies. Results: We obtained data from 134 programs (97.1%). A total of 104 programs (77.6%) had fellowship-trained physicians for training in microsurgery, 86.6% for penile implants, and 88.8% for artificial urinary sphincters. The percentage of fellowshiptrained microsurgeons per program did not vary significantly when comparing the different sections of the AUA. The northeast and southeast sections had the lowest percentage (67% and 68%). Conclusions: Nearly 80% of urology residency programs have a fellowship-trained microsurgeon on faculty, we therefore believe that microsurgery should be added as part of the ACGME minimums. In order to provide an equal exposure to all graduating urology residents, urology residency programs that lack microsurgery should identify potential faculty with fellowship training.
-
Advanced Paternal Age and Sperm DNA Fragmentation: A Systematic Review
Gonzalez Daniel C.,Ory Jesse,Blachman-Braun Ruben,Nackeeran Sirpi,Best Jordan C.,Ramasamy Ranjith 대한남성과학회 2022 The World Journal of Men's Health Vol.40 No.1
Purpose: Male ageing is often associated with defective sperm DNA remodeling mechanisms that result in poorly packaged chromatin and a decreased ability to repair DNA strand breaks. However, the impact of advanced paternal age on DNA fragmentation remains inconclusive. The aim of the present systematic review was to investigate the impact of advancing paternal age (APA) on DNA fragmentation. Materials and Methods: We conducted a thorough search of listed publications in Scopus, PubMed, and EMBASE, in accordance with the PRISMA guidelines. Results: We identified 3,120 articles, of which nineteen were selected for qualitative analysis, resulting in a sample of 40,668 men. Of the 19 articles evaluating the impact of APA on DFI% (DNA fragmentation Index) included, 4 were on Normozoospermic and subfertile men, 3 on normozoospermic, Oligoasthenoteratozoospermic and Teratozoospermic, 6 on fertile and infertile men, 4 on just infertile men, and 2 evaluated a general population. Seventeen of the ninrnteen studies demonstrated APA’s effect and impact on DFI%. Conclusions: Although there was no universal definition for APA, the present review suggests that older age is associated with increased DFI. In elderly men with normal semen parameters, further studies should be performed to assess the clinical implications of DFI, as a conventional semen analysis can often fail to detect an etiology for infertility.
-
Ory Jesse,Tradewell Michael B.,Blankstein Udi,Lima Thiago F.,Nackeeran Sirpi,Gonzalez Daniel C.,Nwefo Elie,Moryousef Joseph,Madhusoodanan Vinayak,Lau Susan,Jarvi Keith,Ramasamy Ranjith 대한남성과학회 2022 The World Journal of Men's Health Vol.40 No.4
Purpose: Varicocele repair is recommended in the presence of a clinical varicocele together with at least one abnormal semen parameter, and male infertility. Unfortunately, up to 50% of men who meet criteria for repair will not see meaningful benefit in outcomes despite successful treatment. We developed an artificial intelligence (AI) model to predict which men with varicocele will benefit from treatment. Materials and Methods: We identified men with infertility, clinical varicocele, and at least one abnormal semen parameter from two large urology centers in North America (Miami and Toronto) between 2006 and 2020. We collected pre and postoperative clinical and hormonal data following treatment. Clinical upgrading was defined as an increase in sperm concentration that would allow a couple to access previously unavailable reproductive options. The tiers used for upgrading were: 1–5 million/mL (ICSI/IVF), 5–15 million/mL (IUI) and >15 million/mL (natural conception). Thus moving from ICSI/IVF to IUI, or from IUI to natural conception, would be considered an upgrade. AI models were trained and tested using R to predict which patients were likely to upgrade after surgery. The model sorted men into categories that defined how likely they were to upgrade after surgery (likely, equivocal, and unlikely). Results: Data from 240 men were included from both centers. A total of 45.6% of men experienced an upgrade in sperm concentration following surgery, 48.1% did not change, and 6.3% downgraded. The data from Miami were used to create a random forest model for predicting upgrade in sperm concentration. On external validation using Toronto data, the model accurately predicted upgrade in 87% of men deemed likely to improve, and in 49% and 36% of men who were equivocal and unlikely to improve, respectively. Overall, the personalized prediction for patients in the validation cohort was accurate (AUC 0.72). Conclusions: A machine learning model performed well in predicting clinically meaningful post-varicocelectomy sperm parameters using pre-operative hormonal, clinical, and semen analysis data. To our knowledge, this is the first prediction model to show the utility of hormonal data, as well as the first to use machine learning models to predict clinically meaningful upgrading. This model will be published online as a clinical calculator that can be used in the preoperative counseling of patients.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
