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    - UROLOGY, NEPHROLOGY AND ANDROLOGY (155 journals)

UROLOGY, NEPHROLOGY AND ANDROLOGY (155 journals)                     

Showing 1 - 155 of 155 Journals sorted alphabetically
Acta Urológica Portuguesa     Open Access   (Followers: 1)
Actas Urológicas Españolas     Full-text available via subscription   (Followers: 3)
Actas Urológicas Españolas (English Edition)     Full-text available via subscription   (Followers: 1)
Advances in Chronic Kidney Disease     Full-text available via subscription   (Followers: 11)
Advances in Urology     Open Access   (Followers: 13)
African Journal of Nephrology     Open Access  
African Journal of Urology     Open Access   (Followers: 7)
AJP Renal Physiology     Hybrid Journal   (Followers: 8)
Aktuelle Urologie     Hybrid Journal   (Followers: 11)
American Journal of Kidney Diseases     Hybrid Journal   (Followers: 42)
American Journal of Men's Health     Open Access   (Followers: 9)
American Journal of Nephrology     Full-text available via subscription   (Followers: 36)
Andrologia     Hybrid Journal   (Followers: 2)
Andrology     Hybrid Journal   (Followers: 4)
Andrology & Gynecology : Current Research     Hybrid Journal   (Followers: 4)
Andrology and Genital Surgery     Open Access   (Followers: 7)
Andrology-Open Access     Open Access  
Annales d'Urologie     Full-text available via subscription  
Arab Journal of Nephrology and Transplantation     Open Access   (Followers: 1)
Arab Journal of Urology     Open Access   (Followers: 7)
Archives of Clinical Nephrology     Open Access   (Followers: 2)
Archivio Italiano di Urologia e Andrologia     Open Access   (Followers: 1)
Archivos Españoles de Urología     Open Access  
Asian Journal of Andrology     Open Access   (Followers: 1)
Asian Journal of Urology     Open Access   (Followers: 3)
Bangladesh Journal of Urology     Open Access   (Followers: 5)
BANTAO Journal     Open Access  
Basic and Clinical Andrology     Open Access  
BJU International     Hybrid Journal   (Followers: 35)
BMC Nephrology     Open Access   (Followers: 9)
BMC Urology     Open Access   (Followers: 15)
Canadian Journal of Kidney Health and Disease     Open Access   (Followers: 6)
Canadian Urological Association Journal     Open Access   (Followers: 2)
Cancer Urology     Open Access   (Followers: 2)
Cardiorenal Medicine     Full-text available via subscription   (Followers: 1)
Case Reports in Nephrology     Open Access   (Followers: 5)
Case Reports in Nephrology and Dialysis     Open Access   (Followers: 9)
Case Reports in Urology     Open Access   (Followers: 12)
Clinical and Experimental Nephrology     Hybrid Journal   (Followers: 4)
Clinical Journal of the American Society of Nephrology     Full-text available via subscription   (Followers: 19)
Clinical Medicine Insights : Urology     Open Access   (Followers: 3)
Clinical Nephrology     Full-text available via subscription   (Followers: 8)
Clinical Nephrology and Urology Science     Open Access   (Followers: 6)
Clinical Queries: Nephrology     Hybrid Journal   (Followers: 1)
Cuadernos de Cirugía     Open Access   (Followers: 3)
Current Opinion in Nephrology & Hypertension     Hybrid Journal   (Followers: 10)
Current Opinion in Urology     Hybrid Journal   (Followers: 12)
Current Urology     Open Access   (Followers: 10)
Current Urology Reports     Hybrid Journal   (Followers: 5)
Der Nephrologe     Hybrid Journal  
Der Urologe     Hybrid Journal   (Followers: 7)
EMC - Urología     Full-text available via subscription  
Enfermería Nefrológica     Open Access   (Followers: 1)
European Urology     Full-text available via subscription   (Followers: 38)
European Urology Focus     Hybrid Journal   (Followers: 6)
European Urology Supplements     Full-text available via subscription   (Followers: 15)
Forum Nefrologiczne     Full-text available via subscription  
Geriatric Nephrology and Urology     Hybrid Journal   (Followers: 7)
Giornale di Clinica Nefrologica e Dialisi     Open Access  
Herald Urology     Open Access   (Followers: 2)
Hong Kong Journal of Nephrology     Open Access   (Followers: 3)
Human Andrology     Partially Free   (Followers: 2)
IJU Case Reports     Open Access  
Indian Journal of Nephrology     Open Access   (Followers: 2)
Indian Journal of Urology     Open Access   (Followers: 5)
International Brazilian Journal of Urology     Open Access   (Followers: 5)
International Journal of Nephrology     Open Access   (Followers: 2)
International Journal of Nephrology and Renovascular Disease     Open Access   (Followers: 2)
International Journal of Urology     Hybrid Journal   (Followers: 12)
International Urology and Nephrology     Hybrid Journal   (Followers: 7)
Jornal Brasileiro de Nefrologia     Open Access  
Journal für Urologie und Urogynäkologie/Österreich     Hybrid Journal  
Journal of Clinical Nephrology     Open Access   (Followers: 1)
Journal of Clinical Urology     Hybrid Journal   (Followers: 14)
Journal of Endoluminal Endourology     Open Access  
Journal of Endourology     Hybrid Journal   (Followers: 2)
Journal of Endourology Case Reports     Hybrid Journal  
Journal of Genital System & Disorders     Hybrid Journal   (Followers: 3)
Journal of Integrative Nephrology and Andrology     Open Access   (Followers: 2)
Journal of Kidney Cancer and VHL     Open Access  
Journal of Lower Genital Tract Disease     Hybrid Journal  
Journal of Nephrology     Hybrid Journal   (Followers: 4)
Journal of Nephrology Research     Open Access   (Followers: 3)
Journal of Pediatric Nephrology     Open Access   (Followers: 3)
Journal of Renal Care     Hybrid Journal   (Followers: 8)
Journal of Renal Nursing     Full-text available via subscription   (Followers: 12)
Journal of Renal Nutrition     Hybrid Journal   (Followers: 29)
Journal of Renal Nutrition and Metabolism     Open Access   (Followers: 1)
Journal of the American Society of Nephrology     Full-text available via subscription   (Followers: 27)
Journal of The Egyptian Society of Nephrology and Transplantation     Open Access  
Journal of Translational Neurosciences     Open Access  
Journal of Urology     Full-text available via subscription   (Followers: 53)
Journal of Urology & Nephrology     Open Access   (Followers: 2)
Kidney Disease and Transplantation     Open Access   (Followers: 4)
Kidney Diseases     Open Access   (Followers: 3)
Kidney International     Hybrid Journal   (Followers: 44)
Kidney International Reports     Open Access   (Followers: 3)
Kidney Medicine     Open Access  
Kidney Research Journal     Open Access   (Followers: 6)
Kidneys (Počki)     Open Access   (Followers: 1)
Nature Reviews Nephrology     Full-text available via subscription   (Followers: 19)
Nature Reviews Urology     Full-text available via subscription   (Followers: 13)
Nefrología (English Edition)     Open Access  
Nefrología (Madrid)     Open Access  
Nephro-Urology Monthly     Open Access   (Followers: 1)
Nephrology     Hybrid Journal   (Followers: 12)
Nephrology Dialysis Transplantation     Hybrid Journal   (Followers: 25)
Nephron     Hybrid Journal   (Followers: 4)
Nephron Clinical Practice     Full-text available via subscription   (Followers: 4)
Nephron Experimental Nephrology     Full-text available via subscription   (Followers: 4)
Nephron Extra     Open Access   (Followers: 1)
Nephron Physiology     Full-text available via subscription   (Followers: 4)
Neurourology and Urodynamics     Hybrid Journal   (Followers: 1)
OA Nephrology     Open Access   (Followers: 2)
Open Access Journal of Urology     Open Access   (Followers: 6)
Open Journal of Nephrology     Open Access   (Followers: 5)
Open Journal of Urology     Open Access   (Followers: 7)
Open Urology & Nephrology Journal     Open Access  
Pediatric Urology Case Reports     Open Access   (Followers: 7)
Portuguese Journal of Nephrology & Hypertension     Open Access   (Followers: 1)
Progrès en Urologie     Full-text available via subscription  
Progrès en Urologie - FMC     Full-text available via subscription  
Prostate Cancer and Prostatic Diseases     Hybrid Journal   (Followers: 6)
Renal Failure     Open Access   (Followers: 12)
Renal Replacement Therapy     Open Access   (Followers: 4)
Research and Reports in Urology     Open Access   (Followers: 4)
Revista de Nefrología, Diálisis y Trasplante     Open Access   (Followers: 1)
Revista Mexicana de Urología     Open Access   (Followers: 1)
Revista Urologia Colombiana     Open Access  
Saudi Journal of Kidney Diseases and Transplantation     Open Access   (Followers: 2)
Scandinavian Journal of Urology     Hybrid Journal   (Followers: 8)
Seminars in Nephrology     Hybrid Journal   (Followers: 11)
The Prostate     Hybrid Journal   (Followers: 8)
Therapeutic Advances in Urology     Open Access   (Followers: 4)
Trends in Urology & Men's Health     Partially Free   (Followers: 1)
Ukrainian Journal of Nephrology and Dialysis     Open Access   (Followers: 1)
Uro-News     Hybrid Journal   (Followers: 2)
Urolithiasis     Hybrid Journal   (Followers: 2)
Urologia Internationalis     Full-text available via subscription   (Followers: 2)
Urologia Journal     Hybrid Journal  
Urologic Clinics of North America     Full-text available via subscription   (Followers: 4)
Urologic Nursing     Full-text available via subscription   (Followers: 4)
Urologic Radiology     Hybrid Journal  
Urological Science     Open Access  
Urologicheskie Vedomosti     Open Access  
Urologie in der Praxis     Hybrid Journal  
Urologie Scan     Hybrid Journal  
Urology     Hybrid Journal   (Followers: 34)
Urology Annals     Open Access   (Followers: 4)
Urology Case Reports     Open Access   (Followers: 3)
Urology Practice     Full-text available via subscription   (Followers: 2)
Urology Times     Free   (Followers: 3)
Urology Video Journal     Open Access   (Followers: 1)
World Journal of Nephrology and Urology     Open Access   (Followers: 15)
World Journal of Urology     Hybrid Journal   (Followers: 12)

           

Similar Journals
Journal Cover
Current Opinion in Urology
Journal Prestige (SJR): 0.949
Citation Impact (citeScore): 2
Number of Followers: 12  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0963-0643 - ISSN (Online) 1473-6586
Published by LWW Wolters Kluwer Homepage  [301 journals]
  • Editorial introductions
    • Abstract: imageNo abstract available
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • Editorial: Artificial intelligence and simulation in urology
    • Authors: Veneziano; Domenico
      Abstract: No abstract available
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • Clinical applications of artificial intelligence in urologic oncology
    • Authors: Hosein; Sharif; Reitblat, Chanan R.; Cone, Eugene B.; Trinh, Quoc-Dien
      Abstract: imagePurpose of review This review aims to shed light on recent applications of artificial intelligence in urologic oncology.Recent findings Artificial intelligence algorithms harness the wealth of patient data to assist in diagnosing, staging, treating, and monitoring genitourinary malignancies. Successful applications of artificial intelligence in urologic oncology include interpreting diagnostic imaging, pathology, and genomic annotations. Many of these algorithms, however, lack external validity and can only provide predictions based on one type of dataset.Summary Future applications of artificial intelligence will need to incorporate several forms of data in order to truly make headway in urologic oncology. Researchers must actively ensure future artificial intelligence developments encompass the entire prospective patient population.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • Impact of radiomics on prostate cancer detection: a systematic review of
           clinical applications
    • Authors: Sugano; Dordaneh; Sanford, Daniel; Abreu, Andre; Duddalwar, Vinay; Gill, Inderbir; Cacciamani, Giovanni E.
      Abstract: imagePurpose of review To systematically review the current literature to assess the role of radiomics in the detection and evaluation of prostate cancer (PCa).Recent findings Radiomics involves the high-throughput extraction of radiologic features from clinical imaging, using a panel of sophisticated data-characterization algorithms to make an objective and quantitative determination of diagnoses and clinical characteristics. Radiomics evaluation of existing clinical images would increase their clinical value in many cancer management pathways, including PCa. However, a consensus on the implementation of radiomics has not been established across different sites, delaying its implementation in clinical practice. There are many potential advantages to radiomics. The ability to extract features from existing clinical imaging is one such advantage. A second is the empiric nature of the analysis. The third lies in the application of new technologies, such as machine learning, to be able to evaluate large quantities of data to make clinical conclusions. In this systematic review, we identify publications regarding the role of radiomics in PCa detection and evaluation. Many of these studies noted that radiomics, when incorporated into predictive models, had an advantageous impact on detection of PCa, clinically significant PCa, and extracapsular extension. This may assist in individualized decision making not only for diagnosis of PCa, but also for surveillance and surgical planning. With additional validation in large sample sizes, and randomized, multicenter studies using a consensus driven methodology, radiomics has the potential to alter the landscape of PCa detection and management, necessitating further prospective randomized investigation.Summary Radiomics is a promising new field, allowing for high-throughput analysis of imaging features for PCa detection and evaluation. These features can be extracted from existing data; therefore, the potential for future study is immense.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • Artificial intelligence in the diagnosis, treatment and prevention of
           urinary stones
    • Authors: Yang; Bob; Veneziano, Domenico; Somani, Bhaskar K.
      Abstract: imagePurpose of review There has a been rapid progress in the use of artificial intelligence in all aspects of healthcare, and in urology, this is particularly astute in the overall management of urolithiasis. This article reviews advances in the use of artificial intelligence for the diagnosis, treatment and prevention of urinary stone disease over the last 2 years. Pertinent studies were identified via a nonsystematic review of the literature performed using MEDLINE and the Cochrane database.Recent findings Twelve articles have been published, which met the inclusion criteria. This included three articles in the detection and diagnosis of stones, six in the prediction of postprocedural outcomes including percutaneous nephrolithotomy and shock wave lithotripsy, and three in the use of artificial intelligence in prevention of stone disease by predicting patients at risk of stones, detecting the stone type via digital photographs and detecting risk factors in patients most at risk of not attending outpatient appointments.Summary Our knowledge of artificial intelligence in urology has greatly advanced in the last 2 years. Its role currently is to aid the endourologist as opposed to replacing them. However, the ability of artificial intelligence to efficiently process vast quantities of data, in combination with the shift towards electronic patient records provides increasingly more ‘big data’ sets. This will allow artificial intelligence to analyse and detect novel diagnostic and treatment patterns in the future.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • Applications of neural networks in urology: a systematic review
    • Authors: Checcucci; Enrico; De Cillis, Sabrina; Granato, Stefano; Chang, Peter; Afyouni, Andrew Shea; Okhunov, Zhamshid; on behalf of the Uro-technology SoMe Working Group of the Young Academic Urologists Working Party of the European Association of Urology
      Abstract: imagePurpose of review Over the last decade, major advancements in artificial intelligence technology have emerged and revolutionized the extent to which physicians are able to personalize treatment modalities and care for their patients. Artificial intelligence technology aimed at mimicking/simulating human mental processes, such as deep learning artificial neural networks (ANNs), are composed of a collection of individual units known as ‘artificial neurons’. These ‘neurons’, when arranged and interconnected in complex architectural layers, are capable of analyzing the most complex patterns. The aim of this systematic review is to give a comprehensive summary of the contemporary applications of deep learning ANNs in urological medicine.Recent findings Fifty-five articles were included in this systematic review and each article was assigned an ‘intermediate’ score based on its overall quality. Of these 55 articles, nine studies were prospective, but no nonrandomized control trials were identified.Summary In urological medicine, the application of novel artificial intelligence technologies, particularly ANNs, have been considered to be a promising step in improving physicians’ diagnostic capabilities, especially with regards to predicting the aggressiveness and recurrence of various disorders. For benign urological disorders, for example, the use of highly predictive and reliable algorithms could be helpful for the improving diagnoses of male infertility, urinary tract infections, and pediatric malformations. In addition, articles with anecdotal experiences shed light on the potential of artificial intelligence-assisted surgeries, such as with the aid of virtual reality or augmented reality.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • Machine learning in the optimization of robotics in the operative field
    • Authors: Ma; Runzhuo; Vanstrum, Erik B.; Lee, Ryan; Chen, Jian; Hung, Andrew J.
      Abstract: imagePurpose of review The increasing use of robotics in urologic surgery facilitates collection of ‘big data’. Machine learning enables computers to infer patterns from large datasets. This review aims to highlight recent findings and applications of machine learning in robotic-assisted urologic surgery.Recent findings Machine learning has been used in surgical performance assessment and skill training, surgical candidate selection, and autonomous surgery. Autonomous segmentation and classification of surgical data have been explored, which serves as the stepping-stone for providing real-time surgical assessment and ultimately, improve surgical safety and quality. Predictive machine learning models have been created to guide appropriate surgical candidate selection, whereas intraoperative machine learning algorithms have been designed to provide 3-D augmented reality and real-time surgical margin checks. Reinforcement-learning strategies have been utilized in autonomous robotic surgery, and the combination of expert demonstrations and trial-and-error learning by the robot itself is a promising approach towards autonomy.Summary Robot-assisted urologic surgery coupled with machine learning is a burgeoning area of study that demonstrates exciting potential. However, further validation and clinical trials are required to ensure the safety and efficacy of incorporating machine learning into surgical practice.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • VR and machine learning: novel pathways in surgical hands-on training
    • Authors: Veneziano; Domenico; Cacciamani, Giovanni; Rivas, Juan Gomez; Marino, Nicola; Somani, Bhaskar K.
      Abstract: imagePurpose of review Surgical training has dramatically changed over the last decade. It has become not only the way to prepare surgeons for their everyday work, but also a way to certify their skills thus increasing patient safety. This article reviews advances in the use of machine learning and artificial intelligence applied to virtual reality based surgical training over the last 5 years.Recent findings Eight articles have been published which met the inclusion criteria. This included six articles about the use of machine learning and artificial intelligence for assessment purposes and two articles about the possibility of teaching applications, including one review and one original research article. All the research articles pointed out the importance of machine learning and artificial intelligence for the stratification of trainees, based on their performance on basic tasks or procedures simulated in a virtual reality environment.Summary Machine learning and artificial intelligence are designed to analyse data and use them to take decisions that typically require human intelligence. Evidence in literature is still scarce about this technology applied to virtual reality and existing manuscripts are mainly focused on its potential to stratify surgical performance and provide synthetic feedbacks about it. In consideration of the exponential growth of computer calculation capabilities, it is possible to expect a parallel increase of research about this topic within the next few years.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • Pathomics in urology
    • Authors: Schuettfort; Victor M.; Pradere, Benjamin; Rink, Michael; Comperat, Eva; Shariat, Shahrokh F.
      Abstract: imagePurpose of review Pathomics, the fusion of digitalized pathology and artificial intelligence, is currently changing the landscape of medical pathology and biologic disease classification. In this review, we give an overview of Pathomics and summarize its most relevant applications in urology.Recent findings There is a steady rise in the number of studies employing Pathomics, and especially deep learning, in urology. In prostate cancer, several algorithms have been developed for the automatic differentiation between benign and malignant lesions and to differentiate Gleason scores. Furthermore, several applications have been developed for the automatic cancer cell detection in urine and for tumor assessment in renal cancer. Despite the explosion in research, Pathomics is not fully ready yet for widespread clinical application.Summary In prostate cancer and other urologic pathologies, Pathomics is avidly being researched with commercial applications on the close horizon. Pathomics is set to improve the accuracy, speed, reliability, cost-effectiveness and generalizability of pathology, especially in uro-oncology.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • Editorial: A new paradigm in treating urinary infections'
    • Authors: Lee; Richard K.; Pradere, Benjamin
      Abstract: No abstract available
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • New paradigms in the management of recurrent urinary tract infections
    • Authors: Taich; Lior; Zhao, Hanson; Cordero, Camila; Anger, Jennifer T.
      Abstract: imagePurpose of review Recurrent urinary tract infections (rUTIs) represent a large burden on the healthcare system. Recent guidelines from the AUA/CUA/SUFU and advancements in the field reflect a paradigm shift for clinician and patients, steering away from empiric antibiotic therapy towards judicious antibiotic use.Recent findings Antibiotic stewardship, including increasing awareness of the collateral damage of antibiotics and the risks of bacterial resistance are a major focus of the new guidelines. Accurate diagnosis of rUTIs is imperative. Urine cultures are necessary to document rUTI and should be obtained prior to any treatment. First line treatment options (trimethoprim–sulfamethoxazole, nitrofurantoin, and fosfomycin) should be used whenever possible. Asymptomatic bacteriuria should not be treated in these patients with rUTI. Although antibiotic prophylaxis methods are effective, nonantibiotic regimens show promise.Summary The management of rUTIs has evolved significantly with the goal of antibiotic stewardship. It is increasingly important to ensure the accuracy of diagnosis with a positive urine culture in the setting of cystitis symptoms, and standardize treatment with first-line therapies to minimize antibiotic side effects.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • The best rules for antimicrobial stewardship in urogenital tract
           infections
    • Authors: Kulchavenya; Ekaterina
      Abstract: imagePurpose of review Urinary tract infections (UTIs) belong to the most common community-acquired and nosocomial infections, but therapy of UTIs is limited by resistance of pathogens and nonoptimal using of antibacterials. Narrative review of recent (2020–2018) literature dedicated to antimicrobial stewardship (AMS) in urological infections has been done.Recent findings Analysis of recent 64 articles has shown following principles of AMS for UTIs: selecting the correct drug, correct dose, and shortest clinically effective duration of therapy whenever possible, is a base for optimal antimicrobial stewardship; symptomatic UTIs should be treated with antimicrobials to alleviate symptoms, and in the case of more serious infection, to prevent complications; in both symptomatic and asymptomatic infection, quantitative culture is the gold standard for diagnosis; we have to avoid prescriptions of antibiotics when possible; we have to follow European and National Guidelines; we must avoid prescription of fluoroquinolones as empiric therapy for UTIs by many reasons, one of these is urogenital tuberculosis; the choice of antibiotic for UTI should be based on local level of resistance of uropathogens.Summary Studies of antimicrobial stewardship in urology are limited. Nevertheless, there are some golden rules, which may help to reduce inappropriate use of antimicrobials, improve patient outcomes, reduce side effects of antibiotic therapy, decrease the emergence and spread of multidrug-resistant infections, as well as decrease total costs of the therapy.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • Nonantibiotic treatments for urinary cystitis: an update
    • Authors: Barea; Bianca M.; Veeratterapillay, Rajan; Harding, Chris
      Abstract: imagePurpose of review Urinary tract infections (UTIs) are one of most common infections in everyday clinical practice. Given the increase in antimicrobial therapy resistance, there has been an increased interest in nonantibiotic treatment options for common infections.Recent findings A review of the recent literature including on nonantibiotic options for management of UTIs, symptoms of cystitis and prevention of recurrent UTIs.Summary The article provides an overview on alternative therapy to antibiotics in the treatment of cystitis and recurrent UTI prophylaxis, including alkalinization of urine, cranberry products, probiotics, NSAIDS, d-mannose, herbal medicine, methenamine hippurate, oral immunostimulants (immunotherapy), topical oestrogens, vitamins and acupuncture. The last few years of intense research has focused on an effort to find evidence to corroborate potentially efficacious non antibiotic treatments. However, alternative treatments for UTIs have not brought conclusive evidence that antibiotic usage can be replaced completely by nonantibiotic options. The reason for this is largely due to a lack of good-quality randomized controlled trials on this subject.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
  • A review of thulium-fiber laser in stone lithotripsy and soft tissue
           surgery
    • Authors: Enikeev; Dmitry; Traxer, Olivier; Taratkin, Mark; Okhunov, Zhamshid; Shariat, Shahrokh
      Abstract: imagePurpose of review To evaluate emerging evidence and practical applications of thulium-fiber laser (TFL) for genitourinary soft tissue disease and urinary stone disease treatment.Recent findings A systematic review was developed using the PubMed, ScienceDirect, Wiley, SpringerLink and Mary Ann Liebert Scopus databases between 2012 and 2020 years, using the PRISMA statement. We analyzed recent publications including in vitro and in humans outcomes of surgery using TFL. This new laser technology can be used in soft tissue diseases and stones present in the genitourinary system. Most of the comparisons are made with the Ho:YAG laser, using completely different settings. Nevertheless, TFL is safe, feasible and effective in the management of urologic diseases, showing superiority to Ho:YAG even in some studies.Summary The introduction of pulsed TFL technology has enabled the ablation of stones at rates comparable to or better than currently existing lasers in vitro, while also potentially reducing stone retropulsion. TFL is effective in treating genitourinary soft tissue diseases, including benign prostatic hyperplasia, and early data indicate that it may be effective in the treatment of urinary stone disease. More clinical studies are needed to better understand the indications for this novel technology and clarify its position in the urologic endoscopy armamentarium.
      PubDate: Sun, 01 Nov 2020 00:00:00 GMT-
       
 
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