المؤلفون: Zaragoza Bayle, María Concepción

المساهمون: Universidad de Extremadura. Departamento de Medicina Animal

مصطلحات موضوعية: Análisis clínicos, Aparato urinario, Enfermedades, Análisis de sangre, Blood test, Diseases, Urinary system, Clinical analysis, Gatos, Perros, Dogs, Cats, 3109 Ciencias Veterinarias, 3109.07 Patología, 3205.06 Nefrología, 3207.08 Hematología

وصف الملف: 10 p.; application/pdf

العلاقة: http://hdl.handle.net/10662/12816Test; ZARAGOZA BAYLE, C. (2021). El laboratorio de análisis clínicos en el diagnóstico de las enfermedades del aparato urinario. Análisis de sangre. En: BARRERA CHACÓN, R. y DUQUE CARRASCO, F.J. (Coord.) Patología médica veterinaria: enfermedades del aparato urinario en el perro y el gato. Cáceres: Universidad de Extremadura, Servicio de Publicaciones, pp. 137-146. ISBN: 978-84-09-30812-5; Patología médica veterinaria: enfermedades del aparato urinario en el perro y el gato; 137; 146; orcid:0000-0003-4705-6602

الإتاحة: http://hdl.handle.net/10662/12816Test

المؤلفون: Duque Carrasco, Francisco Javier

المساهمون: Universidad de Extremadura. Departamento de Medicina Animal

مصطلحات موضوعية: Diagnóstico por imagen, Enfermedades, Aparato urinario, Perros, Gatos, Ecografía, Urinary system, Diseases, Diagnostic imaging, Ultrasound, Dogs, Cats, 3109 Ciencias Veterinarias, 3109.07 Patología, 3205.06 Nefrología, 3311.08 Equipo de laboratorio, 3307.22 Dispositivos Ultrasónicos

وصف الملف: 20 p.; application/pdf

العلاقة: http://hdl.handle.net/10662/12819Test; DUQUE CARRASCO, F.J. (2021). Diagnóstico por imagen de las enfermedades del aparato urinario: Ecografía. En: BARRERA CHACÓN, R. y DUQUE CARRASCO, F.J. (Coord.) Patología médica veterinaria: enfermedades del aparato urinario en el perro y el gato. Cáceres: Universidad de Extremadura, Servicio de Publicaciones, pp. 211-230. ISBN: 978-84-09-30812-5; Patología médica veterinaria: enfermedades del aparato urinario en el perro y el gato; 211; 230

الإتاحة: http://hdl.handle.net/10662/12819Test

المؤلفون: Jiménez Fragoso, Joaquín

المساهمون: Universidad de Extremadura. Departamento de Medicina Animal

مصطلحات موضوعية: Aparato urinario, Patologías, Gatos, Perros, Diagnóstico por imagen, Radiología, Urinary system, Pathologies, Diagnostic imaging, Radiology, 3109 Ciencias Veterinarias, 3109.07 Patología, 3201.11 Radiología, 3205.06 Nefrología

وصف الملف: 40 p.; application/pdf

العلاقة: http://hdl.handle.net/10662/12818Test; JIMÉNEZ FRAGOSO, J. (2021). Diagnóstico por imagen de las enfermedades del aparato urinario: Radiología. En: BARRERA CHACÓN, R. y DUQUE CARRASCO, F.J. (Coord.) Patología médica veterinaria: enfermedades del aparato urinario en el perro y el gato. Cáceres: Universidad de Extremadura, Servicio de Publicaciones, pp. 171-210. ISBN: 978-84-09-30812-5; Patología médica veterinaria: enfermedades del aparato urinario en el perro y el gato; 171; 210

الإتاحة: http://hdl.handle.net/10662/12818Test

المؤلفون: Barrera Chacón, Rafael, Nicolás Barceló, Paloma

المساهمون: Universidad de Extremadura. Hospital Clínico Veterinario, Universidad de Extremadura. Departamento de Medicina Animal

مصطلحات موضوعية: Análisis clínicos, Análisis de orina, Perros, Gatos, Aparato urinario, Enfermedades, Clinical analysis, Diseases, Urinary system, Urine analysis, 3109 Ciencias Veterinarias, 3109.07 Patología, 3205.06 Nefrología, 3213.16 Urología

وصف الملف: 24 p.; application/pdf

العلاقة: http://hdl.handle.net/10662/12817Test; BARRERA CHACÓN, R. y NICOLÁS BARCELÓ, P. (2021). El laboratorio de análisis clínicos en el diagnóstico de las enfermedades del aparato urinario. Análisis de orina. En: BARRERA CHACÓN, R. y DUQUE CARRASCO, F.J. (Coord.) Patología médica veterinaria: enfermedades del aparato urinario en el perro y el gato. Cáceres: Universidad de Extremadura, Servicio de Publicaciones, pp. 147-170. ISBN: 978-84-09-30812-5; Patología médica veterinaria: enfermedades del aparato urinario en el perro y el gato; 147; 170

الإتاحة: http://hdl.handle.net/10662/12817Test

المؤلفون: Ortiz Zableh, Ana María

المساهمون: Sarmiento Sarmiento, Guillermo, Tobar Roa, Verónica, Camacho López, Paul Anthony, Tobar Roa, Verónica =0001473919, Camacho López, Paul Anthony 0000323578, Camacho López, Paul Anthony es&oi=ao, Sarmiento Sarmiento, Guillermo 0000-0001-5492-7168, Camacho López, Paul Anthony 0000-0002-6233-9582, Tobar Roa, Verónica Veronica-Roa-2, Camacho López, Paul Anthony paul-anthony-camacho-lópez, Camacho López, Paul Anthony paulcamachomdepi

مصطلحات موضوعية: Medical sciences, Health sciences, Urology, Medicine, Research, Patients, Urethroplasty, Prostate cancer, Urinary system, Stenosis, Urethra, Demographic characteristics, Urología, Medicina, Ciencias médicas, Investigación, Aparato urinario, Uretra, Características demográficas, Ciencias de la salud, Pacientes, Uretroplastia, Cáncer de próstata, Estenosis

جغرافية الموضوع: Floridablanca (Santander, Colombia), UNAB Campus Bucaramanga

الوقت: 2013-2022

وصف الملف: application/pdf

العلاقة: Andrich DE, Dunglison N, Greenwell TJ, Mundy AR. The long-term results of urethroplasty. Journal of Urology. 2003 Jul 1;170(1):90–2.; Barbagli G, Kulkarni SB, Fossati N, Larcher A, Sansalone S, Guazzoni G, et al. Long-term followup and deterioration rate of anterior substitution urethroplasty. Journal of Urology. 2014;192(3):808–13.; Bradley A. Erickson, George M. Ghareeb. Definition of Successful Treatment and Optimal Follow-up after Urethral Reconstruction for Urethral Stricture Disease. Urol Clin N Am. 2017;1–9.; Lazzeri M, Sansalone S, Guazzoni G, Barbagli G. Incidence, Causes, and Complications of Urethral Stricture Disease. European Urology, Supplements. 2016;15(1):2–6.; Pansadoro V, Emiliozzi P. Internal urethrotomy in the management of anterior urethral strictures: Long-term followup. Journal of Urology. 1996;156(1):73–5.; Tonkin JB, Jordan GH. Management of distal anterior urethral strictures. Nat Rev Urol. 2009;6(10):533–8.; Osterberg EC, Murphy G, Harris CR, Breyer BN. Cost-effective Strategies for the Management and Treatment of Urethral Stricture Disease. Urologic Clinics of North America. 2017;44(1):11–7.; Contreras-García R, García-Perdomo HA, Robayo-Ramirez J. Experiencia en el manejo de la estrechez uretral en un centro de tercer nivel en Colombia. Urologia Colombiana. 2017;26(2):98–103; McCammon KA, Zuckerman JM, Jordan GH. Surgery of the Penis and Urethra. In: Campbell-Walsh urology. 2016. p. 907–45.; Lumen N, Hoebeke P, Willemsen P, De Troyer B, Pieters R, Oosterlinck W. Etiology of Urethral Stricture Disease in the 21st Century. Journal of Urology. 2009;182(3):983–7.; Stein DM, Thum DJ, Barbagli G, Kulkarni S, Sansalone S, Pardeshi A, et al. A geographic analysis of male urethral stricture aetiology and location. BJU Int. 2013;112(6):830–4.; Zumrutbas AE, Ozlulerden Y, Celen S, Kucuker K, Aybek Z. The outcomes of Kulkarni’s one-stage oral mucosa graft urethroplasty in patients with panurethral stricture: a single centre experience. World J Urol. 2019;(0123456789).; Browne BM, Vanni AJ. Use of Alternative Techniques and Grafts in Urethroplasty. Urologic Clinics of North America. 2017;44(1):127–40.; Anger JT, Buckley JC, Santucci RA, Elliott SP, Saigal CS. Trends in stricture management among male medicare beneficiaries: Underuse of urethroplasty? Urology. 2011;77(2):481–6.; Buckley JC, Patel N, Wang S, Liss M. National Trends in the Management of Urethral Stricture Disease: A 14-Year Survey of the Nationwide Inpatient Sample. Urol Pract. 2016;3(4):315–20.; Morey AF, Watkin N, Shenfeld O, Eltahawy E, Giudice C. SIU/ICUD consultation on urethral strictures: Anterior urethra - Primary anastomosis. Urology. 2014;83(3 SUPPL.):S23–6.; Aldaqadossi H, El Gamal S, El-Nadey M, El Gamal O, Radwan M, Gaber M. Dorsal onlay (Barbagli technique) versus dorsal inlay (Asopa technique) buccal mucosal graft urethroplasty for anterior urethral stricture: A prospective randomized study. International Journal of Urology. 2014;21(2):185–8.; Liu JS, Hofer MD, Oberlin DT, Milose J, Flury SC, Morey AF, et al. Practice Patterns in the Treatment of Urethral Stricture among American Urologists: A Paradigm Change? Urology. 2015;86(4):830–4.; Greenwell TJ, Castle C, Andrich DE, MacDonald JT, Nicol DL, Mundy AR. Repeat urethrotomy and dilation for the treatment of urethral stricture are neither clinically effective nor cost-effective. J Urol. 2004;172(1):275–7; Gómez R, Marchetti P, Castillo OA. Rational and selective management of patients with anterior urethral stricture disease. Actas Urol Esp. 2011;35(3):159–66.; Spilotros M, Malde S, Solomon E, Grewal M, Mukhtar BM, Pakzad M, et al. Female urethral stricture: a contemporary series. World J Urol. 2017;35(6):991–5; Carr LK, Webster GD. Bladder outlet obstruction in women. Urologic Clinics of North America. 1996;23(3).; Hofer MD, Liu JS, Morey AF. Treatment of Radiation-Induced Urethral Strictures. Urologic Clinics of North America. 2017.; Ravikumar BR, Tejus C, Madappa KM, Prashant D, Dhayanand GS. A comparative study of ascending urethrogram and sono-urethrogram in the evaluation of stricture urethra. International Braz J Urol. 2015;41(2):388–92.; McAninch J, Laing F, Jeffrey RJr. Sonourethrography in the evaluation of urethral strictures: a preliminary report. Journal of Urology. 1988;139:294–7.; Sachse H. Zur Behandlung der Harnröhrenstriktur: Die transurethrale Schlitzung unter Sicht mit scharfem Schnitt. Fortschr Med. 1974;92:12–24.; Dutkiewicz S, Wroblewski M. Comparison of treatment results between holmium laser endourethrotomy and optical internal urethrotomy for urethral stricture. Int Urol Nephrol. 2012;44:717–24.; Kamp S, Knoll T, Osman M, Köhrmann K, Michel M, Alken P. Low-power holmium:YAG laser urethrotomy for treatment of urethral strictures: functional outcome and quality of life. J Endourol. 2006;20(1):38–41.; Wessells H, McAninch J. Use of free grafts in urethral stricture reconstruction. J Urol. 1996;155:1912–5.; Bhargava S, Chapple C. Buccal mucosal urethroplasty: is it the new gold standard? BJU Int. 2004;93:1191–3.; Dubey D, Kumar A, Mandhani A, Srivastava A, Kapoor R, Bhandari M. Buccal mucosal urethroplasty: a versatile technique for all urethral segments. BJU Int. 2005;95:625–9.; Andrich DE, Dunglison N, Greenwell TJ, Mundy AR. The long-term results of urethroplasty. Journal of Urology. 2003;170(1):90–2.; Andrich D, Mundy A. Surgery for stricture disease. Contemp Urol. 2001;13(12):32.; Erickson BA, Ghareeb GM. Definition of Successful Treatment and Optimal Follow-up after Urethral Reconstruction for Urethral Stricture Disease. Vol. 44, Urologic Clinics of North America. 2017. p. 1–9.; Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005 Feb;8(1):19–32.; Al-Hakeem Y, Chung A, Chung B, Tse V. Substitution urethroplasty for the treatment of male urethral stricture: Outcomes in an Australian center. LUTS: Lower Urinary Tract Symptoms. 2019 Sep 1;11(4):211–6.; Zumstein V, Dahlem R, Kluth LA, Rosenbaum CM, Maurer V, Bahassan O, et al. A critical outcome analysis of Asopa single-stage dorsal inlay substitution urethroplasty for penile urethral stricture. World J Urol. 2020 May 1;38(5):1283–94.; Vetterlein MW, Kluth LA, Zumstein V, Meyer CP, Ludwig TA, Soave A, et al. Buccal mucosal graft urethroplasty for radiation-induced urethral strictures: an evaluation using the extended Urethral Stricture Surgery Patient-Reported Outcome Measure (USS PROM). World J Urol. 2020 Nov 1;38(11):2863–72.; D’Hulst P, Eeckt K vander, Aa F van der, Joniau S. Patient-reported functional outcomes after urethroplasty. Prospective analysis from a single center. European Urology Supplements [Internet]. 2015 [cited 2022 Oct 13];14(2):e953. Available from: https://www.academia.edu/20814139/953_Patient_reported_functional_outcomes_after_ureTest throplasty_Prospective_analysis_from_a_single_center; Warner JN, Malkawi I, Dhradkeh M, Joshi PM, Kulkarni SB, Lazzeri M, et al. A multi-institutional evaluation of the management and outcomes of long-segment urethral strictures. Urology. 2015 Jun 1;85(6):1483–8.; Rosenbaum CM, Schmid M, Ludwig TA, Kluth LA, Dahlem R, Fisch M, et al. Redo buccal mucosa graft urethroplasty: success rate, oral morbidity and functional outcomes. BJU Int. 2016 Nov 1;118(5):797–803.; Zumrutbas AE, Ozlulerden Y, Celen S, Kucuker K, Aybek Z. The outcomes of Kulkarni’s one-stage oral mucosa graft urethroplasty in patients with panurethral stricture: a single centre experience. World J Urol. 2020 Jan 1;38(1):175–81.; Spilotros M, Sihra N, Malde S, Pakzad MH, Hamid R, Ockrim JL, et al. Buccal mucosal graft urethroplasty in men-risk factors for recurrence and complications: A third referral centre experience in anterior urethroplasty using buccal mucosal graft. Transl Androl Urol. 2017 Jun 1;6(3):510–6.; Ali AI, Hamid AA, Abdel-Rassoul MA, Galal EM, Hasanein MGS, Hassan MAE, et al. Buccal mucosal graft versus penile skin flap urethroplasty for long segment penile urethral stricture: A prospective randomized study. Cent European J Urol. 2019;72(2):191–7.; Levine LA, Strom KH, Lux MM. Buccal Mucosa Graft Urethroplasty for Anterior Urethral Stricture Repair: Evaluation of the Impact of Stricture Location and Lichen Sclerosus on Surgical Outcome. Journal of Urology. 2007 Nov;178(5):2011–5.; Policastro CG, Simhan J, Martins FE, Lumen N, Venkatesan K, Angulo JC, et al. A multi-institutional critical assessment of dorsal onlay urethroplasty for post-radiation urethral stenosis. World J Urol. 2021 Jul 1;39(7):2669–75.; Zumstein V, Dahlem R, Maurer V, Marks P, Kluth LA, Rosenbaum CM, et al. Single-stage buccal mucosal graft urethroplasty for meatal stenoses and fossa navicularis strictures: a 50 monocentric outcome analysis and literature review on alternative treatment options. World J Urol. 2020 Oct 1;38(10):2609–20.; Raber M, Naspro R, Scapaticci E, Salonia A, Scattoni V, Mazzoccoli B, et al. Dorsal onlay graft urethroplasty using penile skin or buccal mucosa for repair of bulbar urethral stricture: Results of a prospective single center study. Eur Urol. 2005 Dec;48(6):1013–7.; Ahyai SA, Schmid M, Kuhl M, Kluth LA, Soave A, Riechardt S, et al. Outcomes of Ventral Onlay Buccal Mucosa Graft Urethroplasty in Patients after Radiotherapy. Journal of Urology. 2015;194(2):441–6.; Singh B, Pathak H, Andankar M. Dorsolateral onlay urethroplasty for anterior urethral strictures by a unilateral urethral mobilization approach. Indian Journal of Urology. 2009 Jul 1;25(2):211–4.; Daneshvar M, Simhan J, Blakely S, Angulo JC, Lucas J, Hunter C, et al. Transurethral ventral buccal mucosa graft inlay for treatment of distal urethral strictures: international multi-institutional experience. World J Urol. 2020 Oct 1;38(10):2601–7.; Mellon MJ, Bihrle R. Ventral onlay buccal mucosa urethroplasty: A 10-year experience. International Journal of Urology. 2014 Feb 1;21(2):190–3.; Dubey D, Kumar A, Mandhani A, Srivastava A, Kapoor R, Bhandari M. Buccal mucosal urethroplasty: A versatile technique for all urethral segments. BJU Int. 2005 Mar;95(4):625–9.; Dubey D, Vijjan V, Kapoor R, Srivastava A, Mandhani A, Kumar A, et al. Dorsal Onlay Buccal Mucosa Versus Penile Skin Flap Urethroplasty for Anterior Urethral Strictures: Results From a Randomized Prospective Trial. Journal of Urology. 2007 Dec;178(6):2466–9.; Siegel JA, Panda A, Tausch TJ, Meissner M, Klein A, Morey AF. Repeat Excision and Primary Anastomotic Urethroplasty for Salvage of Recurrent Bulbar Urethral Stricture. Journal of Urology. 2015 Nov 1;194(5):1316–22.; D’Hulst P, Floyd MS, Castiglione F, vander Eeckt K, Joniau S, van der Aa F, et al. Excision and Primary Anastomosis for Bulbar Urethral Strictures Improves Functional Outcomes and Quality of Life: A Prospective Analysis from a Single Centre. Biomed Res Int [Internet]. 2019 [cited 2022 Oct 13];2019. Available from: /pmc/articles/PMC6364126/; Keith CG, Davenport MT, Kavoussi M, Yi YA, Bergeson RL, Morey AF. Long-term outcomes of anastomotic urethroplasty for radiation-induced strictures. World J Urol. 2020 Dec 1;38(12):3055–60.; Cooperberg MR, McAninch JW, Alsikafi NF, Elliott SP. Urethral Reconstruction for Traumatic Posterior Urethral Disruption: Outcomes of a 25-Year Experience. Journal of Urology. 2007 Nov;178(5):2006–10.; Kay HE, Srikanth P, Srivastava A v., Tijerina AN, Patel VR, Hauser N, et al. Preoperative and intraoperative factors predictive of complications and stricture recurrence following multiple urethroplasty techniques. BJUI Compass. 2021 Jul;2(4):286–91.; Han JS, Liu J, Hofer MD, Fuchs A, Chi A, Stein D, et al. Risk of urethral stricture recurrence increases over time after urethroplasty. International Journal of Urology. 2015 Jul 1;22(7):695–9.; Bertrand LA, Voelzke BB, Elliott SP, Myers JB, Breyer BN, Vanni AJ, et al. Measuring and Predicting Patient Dissatisfaction after Anterior Urethroplasty Using Patient Reported Outcomes Measures. Journal of Urology. 2016 Aug 1;196(2):453–61.; Tam CA, Elliott SP, Voelzke BB, Myers JB, Vanni AJ, Breyer BN, et al. The International Prostate Symptom Score (IPSS) Is an Inadequate Tool to Screen for Urethral Stricture Recurrence After Anterior Urethroplasty. Urology. 2016 Sep 1;95:197–201.; Granieri MA, Webster GD, Peterson AC. The evolution of urethroplasty for bulbar urethral stricture disease: Lessons learned from a single center experience. Journal of Urology. 2014 Nov 1;192(5):1468–72.; Choudhary AK, Jha NK. Is anastomotic urethroplasty is really superior than BMG augmented dorsal onlay urethroplasty in terms of outcomes and patient satisfaction: Our 4-year experience. Canadian Urological Association Journal. 2015 Jan 1;9(1–2):E22–6.; Delong J, Buckley J. Patient-reported outcomes combined with objective data to evaluate outcomes after urethral reconstruction. Urology. 2013 Feb;81(2):432–6.; Glass AS, McAninch JW, Zaid UB, Cinman NM, Breyer BN. Urethroplasty after radiation therapy for prostate cancer. Urology. 2012;79(6):1402–6.; Lumen N, Spiers S, de Backer S, Pieters R, Oosterlinck W. Assessment of the short-term functional outcome after urethroplasty: a prospective analysis. International Braz J Uro. 2011;37(6):712–8.; Liu JS, Hofer MD, Oberlin DT, Milose J, Flury SC, Morey AF, et al. Practice Patterns in the Treatment of Urethral Stricture among American Urologists: A Paradigm Change? Urology. 2015 Oct 1;86(4):830–4.; Cotta BH, Buckley JC. Endoscopic Treatment of Urethral Stenosis. Vol. 44, Urologic Clinics of North America. W.B. Saunders; 2017. p. 19–25.; Greenwell TJ, Castle C, Andrich DE, MacDonald JT, Nicol DL, Mundy AR. Repeat urethrotomy and dilation for the treatment of urethral stricture are neither clinically effective nor cost-effective. J Urol. 2004;172(1):275–7.; Tobar-Roa V, Ortiz-Zableh AM, Mantilla-Rey DJ, Sarmiento-Sarmiento G. Urethral reconstruction in a reference center in eastern Colombia. Urologia Colombiana. 2020;29(1):26–31.; Contreras-García R, García-Perdomo HA, Robayo-Ramirez J. Management of urethral stricture in tertiary centre in Colombia. Urologia Colombiana. 2017 May 1;26(2):98–103.; Zehri AA, Ather MH, Afshan Q. Predictors of recurrence of urethral stricture disease following optical urethrotomy. International Journal of Surgery. 2009;7(4):361–4.; Breyer BN, McAninch JW, Whitson JM, Eisenberg ML, Mehdizadeh JF, Myers JB, et al. Multivariate Analysis of Risk Factors for Long-Term Urethroplasty Outcome. Journal of Urology. 2010 Feb;183(2):613–7.; Puche-Sanz I, Martín-Way D, Flores-Martín J, Expósito-Ruiz M, Vicente-Prados J, Nogueras-Ocaña M, et al. Validación psicométrica de la versión en castellano del cuestionario USS-PROM para pacientes sometidos a cirugía de uretra anterior. Actas Urol Esp. 2016 Jun 1;40(5):322–7.; Jackson MJ, Chaudhury I, Mangera A, Brett A, Watkin N, Chapple CR, et al. A Prospective Patient-centred Evaluation of Urethroplasty for Anterior Urethral Stricture Using a Validated Patient-reported Outcome Measure. Eur Urol. 2013 Nov 1;64(5):777–82.; Erickson BA, Elliott SP, Voelzke BB, Myers JB, Broghammer JA, Smith TG, et al. Multi-institutional 1-year bulbar urethroplasty outcomes using a standardized prospective cystoscopic follow-up protocol. Urology. 2014;84(1):213–7.; http://hdl.handle.net/20.500.12749/18661Test; instname:Universidad Autónoma de Bucaramanga - UNAB; reponame:Repositorio Institucional UNAB; repourl:https://repository.unab.edu.coTest

الإتاحة: https://doi.org/20.500.12749/18661Test
https://hdl.handle.net/20.500.12749/18661Test

المؤلفون: Gema Ruiz-Hurtado, Montserrat Baldan-Martin, Dolores Molero, Maria G. Barderas, E. Calvo, Aranzazu Santiago-Hernandez, M. Cabrera, Juan M. García-Segura, Luis M. Ruilope, Gloria Alvarez-Llamas, Paula J. Martinez, Marta Martin-Lorenzo, Felipe Madruga, Marta Agudiez, Fernando Vivanco

المصدر: ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
E-Prints Complutense. Archivo Institucional de la UCM
instname
Journal of Molecular Medicine (Berlin, Germany)
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid

مصطلحات موضوعية: Male, Nefrología y urología, Glucuronate, Aparato urinario, Urine, 030204 cardiovascular system & hematology, Mass Spectrometry, 0302 clinical medicine, Elderly, Risk Factors, Drug Discovery, Medicine, Public Health Surveillance, Young adult, Genetics (clinical), Aged, 80 and over, Metabolismo, 0303 health sciences, Age Factors, Middle Aged, Lifetime risk, Cardiovascular Diseases, Cohort, Metabolome, Molecular Medicine, Original Article, Female, Adult, medicine.medical_specialty, Urinary system, Anciano, Risk Assessment, 03 medical and health sciences, Young Adult, Metabolomics, Internal medicine, Humans, Nuclear Magnetic Resonance, Biomolecular, 030304 developmental biology, Aged, Sistema cardiovascular, business.industry, Early prevention, Cardiovascular risk, Human genetics, Cross-Sectional Studies, ROC Curve, Heart Disease Risk Factors, business, Ancianos, Biomarkers

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::563b884934ca0e2d987748547c437b09Test
http://hdl.handle.net/11268/9619Test

المؤلفون: Alfredo Tagarro, Alfonso Cañete, María Luisa Herreros, Aida Sánchez, Araceli García-Pose, Pablo Gili

المصدر: Acta Paediatrica. 107:145-150

مصطلحات موضوعية: Male, medicine.medical_specialty, Urinary system, Sample (material), Urology, Aparato urinario, Urine, urologic and male genital diseases, 03 medical and health sciences, Clean catch urine, Medicina preventiva, 0302 clinical medicine, 030225 pediatrics, medicine, Humans, 030212 general & internal medicine, Primera infancia, Reagent Strips, Urine Specimen Collection, business.industry, Leucocyte esterase, Infant, Newborn, Infant, General Medicine, Dipstick, Orina, Leukocyte esterase, Nitrite test, Urinary Tract Infections, Pediatrics, Perinatology and Child Health, Female, Lactantes, business

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51feb770c0b6b65e9bcc84ee62356c33Test
https://doi.org/10.1111/apa.14090Test

المؤلفون: Güiza Ortiz, María Camila

المساهمون: Ortiz Cuadros, José David, Ortiz Beltrán, Ariel, https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000062739Test, orcid:0000-0002-2347-6584

مصطلحات موضوعية: Systems engineer, Technological innovations, Kidney stones, Nephrolithiasis, Urinary system, Deep learning, Urinary stones, Artificial intelligence, Simulation by digital computers, Ingeniería de sistemas, Innovaciones tecnológicas, Cálculos urinarios, Inteligencia artificial, Simulación por computadores digitales, Cálculos renales, Litiasis renal, Aparato urinario

جغرافية الموضوع: Colombia

وصف الملف: application/pdf

العلاقة: A. Sevik. P. Erdogmus and E. Yalein. (2018). Font and Turkish Letter Recognition in Images with Deep Learning. ANKARA, Turkey: IEEE; Ahmed Hosny, C. P., Quackenbush, J., Schwartz, L. H., & Aerts, H. J. (2018). Artificial intelligence in radiology; Akkasaligar & Biradar, P. T. (2016). Diagnosis of renal calculus disease in medical ultrasound images. Chennai, India; Arias, J. M. (2019). Modelo de aprendizaje profundo / red neuronal convolucional (CNN) para clasificación de calidad de ácidos grasos por imágenes de semillas de Helianthus annuus.; Azhar et al, K. A. (2016). Computer vision based detection and localization of potholes in asphalt pavement images. Vancouver, Canada: IEEE; Bejaimal & Bejaimal, S. B. (2017). Magnetic resonance enterography performs well in detecting active inflammation in pediatric inflammatory bowel disease.; BUSTAMANTE, S.-H. Y. (2014). ALGORITMOS DE PROCESAMIENTO DE IMAGEN APLICADOS A LA DETECCIÓN DE FIGURAS GEOMÉTRICAS Y SUS PROPIEDADES ESPACIALES; Colombia, C. d. (2020). Ley 2015 del 31 de enero de 2020.; DÅDERMAN, A., & ROSANDER, S. (2018). Evaluating Frameworks for Implementing Machine Learning in Signal Processing. STOCKHOLM, SVERIGE; Diaz & Suárez, H. R. (2017). Ecografía clínica. Nuevas concepciones sobre una disciplina clásica en. Villa Clara. Cuba; Dutta & Dubey, A. D. (2019). Detection of Liver Cancer using Image Processing Techniques. Chennai, India; Farrera, M. S., & Acebes, A. d. (2015). Litiasis renal; Fawzi, A., Samulowitz, H., Turaga, D., & Frossard, P. (2016). Adaptive data augmentation for image classification. Phoenix, AZ, USA; Gamboa-Gutiérrez, E., Varela-Villalobos, M., & Varela-Briceño, C. (2020). Litiasis renal en Costa Rica: bioquímica y epidemiología. San José, Costa Rica.; García, R. G. (2015). Estudio comporativo de efectividad sedativa con propofol vs midazolam-fentanyl en pacientes sometidos a tomografía axial computarizada (TAC) de emergencia en el Hospital Luis Vernaza periodo 2013; Gollapudi, S. (2019). Learn Computer Vision Using OpenCV With Deep Learning CNNs and RNNs. Hyderabad, Telangana, India; Goularas & Kamis, D. G. (2019). Evaluation of Deep Learning Techniques in. Istanbul, Turkey: IEEE; Graffigna et al, M. G. (2017). Diagnóstico de esteatosis hepática por métodos clínicos, bioquímicos y por imágenes. Argentina: ScienceDirect.; Gutiérrez et al, J. S. (2016). SÚPER RESOLUCIÓN Y MEJORA DEL ALGORITMO CANNY PARA LA DETECCIÓN DE BORDES EN IMÁGENES MÉDICAS; ITELLIGENT. (3 de enero de 2018). ITELLIGENT. Obtenido de https://itelligent.es/es/deep-learning-convolutional-neuronal-network-cnnconsisteTest/; Kim & Ro, J. U. (2019). Attentive Layer Separation for Object Classification and Object Localization in Object Detection. Taipei, Taiwan; Koplay et al, M. S. (2015). Importance of imaging and recent developments in diagnosis of nonalcoholic fatty liver disease. World journal of hepatology, 7(5), 769–776. doi:10.4254/wjh.v7.i5.769. Konya, Turquía.; Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). ImageNet Classification with Deep Convolutional Neural Networks.; LeCun. Bengio & Hinton. (2015). Deep learning; Lemley, J., Bazrafkan, S., & Corcoran, P. (2017). Deep Learning for Consumer Devices and Services; Li et al, D. L.-I. (2019). Soft Phantom for the Training of Renal Calculi Diagnostics and Lithotripsy. Berlin, Germany; Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2017). Brain Intelligence: Go beyond Artificial Intelligence.; Mangayarkarasi &Najumnissa, T. M. (2017). PNN-based analysis system to classify renal pathologies in Kidney Ultrasound Images. Chennai, India.; McAninch & Lue, J. W. (2020). Smith & Tanagho's General Urology.; Mello Legal & Vázquez, M. R. (2015). Mejora de contraste de imagen a color utilizando la transformada de top-hat multiescala. San Lorenzo, Paraguay.; MINSALUD. (2018). Estimación de oferta de médicos especialistas en Colombia 1950-2030. Bogotá, Colombia; MinTIC. (22 de mayo de 2019). MinTIC. Obtenido de https://www.mintic.gov.co/portal/inicio/Sala-de-Prensa/MinTIC-en-losTest Medios/100826:Colombia-se-adhiere-a-acuerdo-de-Inteligencia-Artificialante-la-OCDE; MUNDIAL, A. G. (2000). DECLARACIÓN DE HELSINKI: PRINCIPIOS ÉTICOS PARA LA INVESTIGACIÓN MÉDICA SOBRE SUJETOS HUMANOS; Na8. (29 de noviembre de 2018). https://www.aprendemachinelearning.comTest. Obtenido de https://www.aprendemachinelearning.com/como-funcionan-lasconvolutional-neural-networks-vision-por-ordenadorTest; Nieto, V. M., & Yanes, M. I. (2019). Nefrología.; Palacios, H. J., Pantoja, G. A., Navarro, A. A., Puetaman, I. M., & Toledo, R. A. (2016). Comparativa entre CRISP-DM y SEMMA para la limpieza de datos en productos MODIS en un estudio de cambio de cobertura y uso del suelo.; Pico, L. M. (11 de abril de 2019). Este es el escalafón de enfermedades más buscadas en Colombia. Lafm; Poggio et al, G. P. (2017). La ecografía primero: ¿Por qué, cómo y cuándo? La Plata, Argentina; Portillo, C. O. (2016). Selección y adecuación de la imagen para productos editoriales; Quintero et al, C. Q.-G. (2017). Uso de Redes Neuronales Convolucionales para el Reconocimiento Automático de Imágenes de Macroinvertebrados para el Biomonitoreo Participativo. ESTEC Conference Proceedings 6th Engineering, Science and Technology Conference (2017). Knowledge E. Engaging minds; Raghunandan et al, A. R. (2018). Object Detection Algorithms for Video Surveillance Applications. Chennai, India.; Ranjitha, M. (2016). Extraction and dimensionality reduction of features for Renal Calculi detection and artifact differentiation from segmented ultrasound kidney images. New Delhi, India.; Rozman, F. (2016). Medicina Interna. Elsevier, España; Salud, M. d. (1999). Resolución 1995 de 1999.; Schäfer, F., Zeiselmair, C., Becker, J., & Otten, H. (2018). Synthesizing CRISP-DM and Quality Management: A Data Mining Approach for Production Processes. Marrakech, Morocco, Morocco; Shah & Kadge, T. S. (2019). Analysis and Identification of Renal Calculi in Computed Tomography Images. Navi Mumbai, India; Shao Zhu & Li, L. S. (2014). Transfer Learning for Visual Categorization: A Survey; Sharma, K., & Nandal, D. R. (2019). A Literature Study on Machine Learning Fusion. Rohtak, Haryana, India; Snopek, K. M. (2017). Relationship between the cayley-dickson fourier transform and the hartley transform of multidimensional real signals. Barcelona, Spain; Social, M. d. (2017). Resolución Nº 839 de 23 de marzo de 2017; Stevens, E., & Antiga, L. (2019). Deep Learning with PyTorch.; Supriyanti et al, R. S. (2016). Brightness and Contrast Modification in Ultrasonography Images Using Edge Detection Results.; Velásquez, A. R. (1999). Procesamiento de imágenes médicas; Weiss. Khoshgodtaar & Wang, K. W. (2016). A survey of transfer learning. SpringerOpen.; X. Li and Y. Shi. (2018). Computer Vision Imaging Based on Artificial Intelligence. Changsha, China: IEEE; Zabala Rivera & Maldonado, S. A. (2009). Metodología para la implementación de un sistema de reconocimiento de objetos mediante técnicas de visión artificial aplicado a manipuladores robóticos.; Akbulut, Y., Sengur, A., Guo, Y., & Smarandache, F. (2017). NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier; aws. (2020). https://aws.amazon.comTest/. Obtenido de https://aws.amazon.com/es/mxnetTest; Battineni, G., Chintalapudi, N., & Amenta, F. (2019). Machine learning in medicine: Performance calculation of dementia prediction by support vector machines (SVM); Budhiraja, A. (15 de diciembre de 2016). Medium. Obtenido de https://medium.com/@amarbudhiraja/https-medium-com-amarbudhirajalearning-less-to-learn-better-dropout-in-deep-machine-learning74334da4bfc5Test; Chillón, F. R. (19 de agosto de 2020). Clínica Universidad de Navarra. Obtenido de https://www.cun.es/enfermedades-tratamientos/enfermedades/litiasis-renalTest; Cuevas, E., & Reyna-Orta, A. (2014). A Cuckoo Search Algorithm for Multimodal Optimization.; Espejel, O. (2020). Entendiendo PyTorch: las bases de las bases para hacer inteligencia artificial.; Fan, Q., Brown, L., & Smith, J. (2016). A Closer Look at Faster R-CNN for Vehicle Detection; Girshick, R. (2015). Fast R-CNN; Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning; Huang, G., Liu, Z., Weinberger, K. Q., & Maaten, L. v. (2016). Densely Connected Convolutional Networks; imagingbiometrics. (2017). imagingbiometrics. Obtenido de https://www.imagingbiometrics.com/what-we-offer/product-services/ibstonecheckerTest; Index, P. P. (septiembre de 2020). https://pypi.orgTest/. Obtenido de https://pypi.org/project/TheanoTest; infosalus. (06 de octubre de 2014). infosalus. Obtenido de https://www.infosalus.com/asistencia/noticia-realizan-programa-informaticomejorar-diagnostico-pacientes-calculos-renales-20140402124529.htmlTest; Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., . . . Darrell, T. (2014). Caffe: Convolutional Architecture for Fast Feature Embedding; LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning.; Leslie, S. W., Sajjad, H., & Murphy, P. B. (2020). Renal Calculi.; Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., & Berg, A. C. (2016). SSD: Single Shot MultiBox Detector.; Málaga, U. d. (1 de septiembre de 2020). Urólogos de Málaga. Obtenido de https://www.urologosmalaga.com/tratamientos/litiasis-calculos/4-1-litiasiscalculos-evaluacion-y-diagnosticoTest/; MathWorks. (24 de agosto de 2020). GoogLeNet convolutional neural network. Obtenido de MathWorks: https://www.mathworks.com/help/deeplearning/ref/googlenet.htmlTest; MayoClinic. (8 de febrero de 2019). MayoClinic. Obtenido de https://www.mayoclinic.org/es-es/diseases-conditions/kidneystones/diagnosis-treatment/drc-20355759Test; missinglink.ai. (2020). missinglink.ai. Obtenido de https://missinglink.ai/guides/keras/keras-resnet-building-training-scalingresidual-netskeras/#:~:text=Residual%20Network%20Test(ResNet)%20is%20a,or%20thousa nds%20of%20convolutional%20layers.&text=ResNet%20stacks%20up%20i dentity%20mappings,the%20activations%; Navamani, T. (2019). Efficient Deep Learning Approaches for Health Informatics. Deep Learning and Parallel Computing Environment for Bioengineering Systems; Peixeiro, M. (12 de marzo de 2019). towardsdatascience. Obtenido de https://towardsdatascience.com/how-to-improve-a-neural-network-withregularization-8a18ecda9fe3Test; Pereira-Toledo, A., López-Cabrera, J. D., & Quintero-Domínguez, L. A. (2017). Estudio experimental para la comparación del desempeño de Naïve Bayes con otros clasificadores bayesianos; PyTorch. (2020). PyTorch. Obtenido de https://pytorch.orgTest; Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2015). You Only Look Once: Unified, Real-Time Object Detection.; Rizwan, M. (05 de Octubre de 2018). DataCamp. Obtenido de https://www.datacamp.com/community/news/how-to-implement-alexnet-cnnarchitecture-using-keras-7vq9ilt9qb7Test; Sak, H., Senior, A., & Beaufays, F. (2014). Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling.; Sankesara, H. (23 de Enero de 2019). UNet, Introducing Symmetry in Segmentation. Obtenido de https://towardsdatascience.com/u-netb229b32b4a71Test; Shorten, C., & Khoshgoftaar, T. M. (2019). A survey on Image Data Augmentation for Deep Learning.; Susaeta, R., Benavente, D., Marchant, F., & Gana, R. (2018). Diagnóstico y manejo de litiasis renal en adultos y niños. Santiago, Chile.; Tan, L. (2015). 17.2.2.1 Supervised learning. En Code Comment Analysis for Improving Software Quality (pág. 500).; Tharwat, A., Gaber, T., Ibrahim, A., & Hassanien, A. E. (2017). Linear discriminant analysis: A detailed tutorial.; UAB. (30 de septiembre de 2014). UAB. Obtenido de https://www.uab.cat/web/sala-de-prensa/detalle-noticia/mystone-un-nuevodispositivo-de-analisis-rapido-de-calculos-renales1345667994339.html?noticiaid=1345676036016Test; Wang, L., Guo, S., Huang, W., & Qiao, Y. (2015). Places205-VGGNet Models for Scene Recognition. Hong Kong, China; Wang, Z., Wang, Y., Zeng, R., Srinivasan, R. S., & Ahrentzen, S. (2018). Random Forest based Hourly Building Energy Prediction; Weiss. Khoshgodtaar & Wang, K. W. (2016). A survey of transfer learning; Wu, S., Li, G., Deng, L., Liu, L., Wu, D., Xie, Y., & Shi, L. (2018). L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks; Zeng, Y.-R., Zeng, Y., Choi, B., & Wang, L. (2017). Multifactor-Influenced Energy Consumption Forecasting Using Enhanced Back-propagation Neural Network.; Zhong, Z., Jin, L., & Xie, Z. (2015). High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps; CHILLÓN, F. R. (16 de agosto de 2020). Clínica Universidad de Navarra. Obtenido de https://www.cun.es/enfermedades-tratamientos/enfermedades/litiasisrenalTest; http://hdl.handle.net/20.500.12749/12742Test; instname:Universidad Autónoma de Bucaramanga - UNAB; reponame:Repositorio Institucional UNAB; repourl:https://repository.unab.edu.coTest

الإتاحة: https://doi.org/20.500.12749/12742Test
https://doi.org/10.4254/wjh.v7.i5.769Test
https://hdl.handle.net/20.500.12749/12742Test

المؤلفون: C. Redondo, E. Meilán, Ana García-Tello, Sergio Pérez, I. Arance, Javier C. Angulo

المصدر: Europe PubMed Central

مصطلحات موضوعية: Male, Reconstructive surgery, medicine.medical_specialty, Urology, Urinary system, Umbilicus (mollusc), Cirugía plástica, 030232 urology & nephrology, Aparato urinario, Laparoscopia, 03 medical and health sciences, 0302 clinical medicine, Patient satisfaction, Port (medical), Postoperative Complications, Cirugía, medicine, Humans, Laparoscopy, Tecnología médica, Urinary Tract, medicine.diagnostic_test, Umbilicus, business.industry, Perioperative, Middle Aged, Surgery, 030220 oncology & carcinogenesis, Cohort, Urologic Surgical Procedures, Female, business

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef85d3d70b2f7880aa7148a44529d14dTest
https://pubmed.ncbi.nlm.nih.gov/26930218Test

المؤلفون: J.M. Eiros Bouza, C. Ochoa Sangrador, Grupo Investigador del Proyecto

المصدر: UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname
Anales de Pediatría, Vol 67, Iss 5, Pp 461-468 (2007)

مصطلحات موضوعية: Evidence-based medicine, Pathology, medicine.medical_specialty, Etiology, medicine.drug_class, Urinary system, Cephalosporin, Antibiotics, Urine, Aparato urinario, Infecciones - Tratamiento, Fosfomycin, Pediatrics, RJ1-570, Microbiology, Ampicillin, medicine, Child, Antibacterial agent, business.industry, Bacterial drug resistance, Urinary tract infections, Consensus development conference, Pediatrics, Perinatology and Child Health, business, medicine.drug

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3da9afdf02533cdce14e3fbfffdbb35Test
https://doi.org/10.1016/s1695-4033Test(07)70713-0