Relación entre los hallazgos imagenológicos de la zona transicional en la resonancia magnética multiparamétrica de próstata y la biopsia transrectal de próstata en la Clínica Fundación Oftalmológica de Santander Foscal

dc.contributor.advisorSalazar Rey, Milton Augusto
dc.contributor.advisorReyes González, Adriana
dc.contributor.apolounabSalazar Rey, Milton Augusto [milton-augusto-salazar-rey]spa
dc.contributor.apolounabReyes González, Adriana [adriana-lucia-reyes-gonzález]spa
dc.contributor.authorGarzón Correa, Diana Lucía
dc.contributor.cvlacGarzón Correa, Diana Lucía [0001753121]spa
dc.contributor.cvlacSalazar Rey, Milton Augusto [0001489804]spa
dc.contributor.cvlacReyes González, Adriana [0000126469]spa
dc.contributor.orcidGarzón Correa, Diana Lucía [0009-0005-3246-5667]spa
dc.contributor.orcidSalazar Rey, Milton Augusto [0000-0002-1316-4149]spa
dc.contributor.orcidReyes González, Adriana [0000-0002-9852-9345]spa
dc.coverage.campusUNAB Campus Bucaramangaspa
dc.coverage.spatialFloridablanca (Santander, Colombia)spa
dc.coverage.temporalEnero 2017 - Junio 2023spa
dc.date.accessioned2024-01-30T12:53:09Z
dc.date.available2024-01-30T12:53:09Z
dc.date.issued2024-01-29
dc.degree.nameEspecialista en Urologíaspa
dc.description.abstractIntroducción: La prevalencia mundial del cáncer de próstata así como su aumento progresivo destaca su impacto significativo en la salud masculina, siendo la quinta causa de mortalidad por cáncer a nivel mundial. Este estudio aborda la necesidad de mejorar la detección temprana y precisa del cáncer de próstata clínicamente significativo, evitando falsos positivos y su sobrediagnóstico. Se investiga la eficacia de la resonancia magnética multiparamétrica de próstata y su papel en el diagnóstico y la estratificación del riesgo de esta patología. La investigación de esta tesis se centra en explorar y validar la frecuencia de alteraciones observadas en la zona transicional de la próstata, desafiando las tendencias globales, y busca determinar la correlación entre estas alteraciones y la confirmación de carcinoma mediante histopatología. Este estudio contribuirá a la comprensión y mejora de las estrategias de detección del cáncer de próstata en la zona transicional en nuestra institución. Metodología: Se realizó un estudio de corte transversal, analítico, de fuente secundaria de datos anonimizados. Se realizaron cálculos para determinar la prevalencia del cáncer de próstata en la zona transicional. Se empleó el modelo de correlación Kappa para analizar la concordancia entre las lesiones sospechosas en la zona transicional observadas mediante resonancia y los resultados de la biopsia. Se realizaron cálculos de sensibilidad, especificidad y áreas bajo la curva así como se realizaron cálculos de asociación entre estas variables. Resultados: Entre enero del 2017 y junio del 2023, 201 pacientes fueron sometidos a biopsia transrectal de próstata posterior a obtener una resonancia multiparamétrica de próstata informada como anormal. La población tuvo una mediana de edad de 65,53 años. El 33,88 tenía alteración del tacto rectal y la mediana de PSA fue de 14 ng/dl con una mediana de PSAd de 0,25. El 56,72% de los pacientes tenía lesiones hipoecógenas visualizadas ecográficamente. En el 66,17% de los pacientes se reportaron lesiones sospechosas en la zona transicional. En cuanto a la clasificación PI-RADS, el 60,20% de la población se ubicó en la categoría 4. De la totalidad de la población llevada a biopsia, el 53.54% mostró resultados positivos siendo el grado grupo 4 el más prevalente con un 33,33%. La prevalencia del cáncer de próstata en la zona transicional de la población de estudio fue del 27,7%. Los resultados revelaron una baja concordancia entre las lesiones sospechosas en la zona transicional observadas mediante resonancia y los resultados de la biopsia, con un coeficiente de kappa de -0.3015. En el caso de las lesiones de esta misma zona, se observó una sensibilidad del 51.9%, una especificidad del 18.5%, y un área bajo la curva ROC de 0.35. Se observó una asociación inversa significativa entre la presencia de lesiones sospechosas en la zona transicional y la probabilidad de obtener una biopsia positiva (OR 0,24 IC 95%: 0,1276 - 0,4681, p < 0,05). Conclusión: Respecto a la prevalencia del cáncer de próstata en la zona transicional, los resultados del estudio respaldan los hallazgos previos de la literatura mundial. La correlación positiva en la zona periférica refuerza la utilidad de la resonancia en esa región pero los resultados de nuestro estudio dejan grandes dudas sobre su ayuda e interpretación en la zona transicional dada la baja concordancia entre esta y la biopsia, lo que subraya desafíos interpretativos con implicaciones clínicas importantes. Se destaca la necesidad de enfoques complementarios y estrategias de seguimiento en nuestro campo para mejorar las estrategias de diagnóstico y tratamiento del cáncer de próstata en esta área.spa
dc.description.abstractenglishIntroduction: The global prevalence of prostate cancer, along with its progressive increase, underscores its significant impact on men's health, ranking as the fifth leading cause of cancer-related mortality worldwide. This study addresses the need to enhance early and accurate detection of clinically significant prostate cancer, aiming to avoid false positives and overdiagnosis. In this project, we explore the efficacy of multiparametric magnetic resonance imaging and its role in diagnosing and stratifying the risk associated with this pathology. This study focuses on investigating and validating the frequency of observed alterations in the transitional zone of the prostate, challenging global trends. The primary goal is to determine the correlation between these alterations and confirmed carcinoma through histopathology. This study aims to further understand and improve prostate cancer detection strategies in the transitional zone within our institution Methodology: A cross-sectional, analytical study was conducted using secondary anonymized data. Calculations were performed to determine the prevalence of prostate cancer in the transitional zone in our institution. The Kappa correlation model was employed to analyze the agreement between suspicious lesions in the transitional zone observed by mp-MRI and biopsy results. Sensitivity, specificity, and area under the curve were also calculated. Results: Between January 2017 and June 2023, 201 patients underwent transrectal prostate biopsy after an abnormal mp-MRI. The population had a median age of 65.53 years (IQR 9.5). 33.88% had abnormal digital rectal exam, with a median PSA of 14 ng/dl and a median PSAd of 0.25. 56.72% of patients had hypoechoic lesions visualized by ultrasound. 66.17% of patients reported suspicious lesions in the transitional zone. Regarding PI-RADS classification, 60.20% of patients were classified as category 4. Of the total population biopsied, 53.54% showed positive results, with Grade Group 4 being the most prevalent (33.33%). The prevalence of prostate cancer in the transitional zone of the study population was 27.7%. Results revealed low concordance between suspicious lesions in the transitional zone observed through mp-MRI and biopsy results, with a Kappa coefficient of -0.3015. For lesions in this zone, a sensitivity of 51.9%, specificity of 18.5%, and an AUC of 0.35 were observed. A significant inverse association was noted between the presence of suspicious lesions in the transitional zone and the likelihood of a positive biopsy (OR 0.24, 95% CI: 0.1276 - 0.4681, p < 0.05). Conclusion: The observed positive correlation in the peripheral zone further underscores the effectiveness of mp-MRI in that particular region. However, our study interrogates the utility and interpretation of mp-MRI in the transitional zone, as evidenced by its low association with biopsy. This underscores interpretive challenges that hold significant clinical implications. The implications of our study emphasize the imperative for complementary approaches and follow-up strategies in our field. Addressing these challenges is crucial to enhancing diagnostic and treatment strategies for prostate cancer, particularly in the transitional zone.spa
dc.description.degreelevelEspecializaciónspa
dc.description.learningmodalityModalidad Presencialspa
dc.description.tableofcontentsLISTA DE TABLAS LISTA DE FIGURAS LISTA DE ANEXOS GLOSARIO RESUMEN ESPAÑOL INGLÉS PLANTEAMIENTO DEL PROBLEMA DE INVESTIGACIÓN Y SU JUSTIFICACIÓN EN TÉRMINOS DE NECESIDADES Y PERTINENCIA MARCO TEÓRICO Y ESTADO DEL ARTE OBJETIVOS 8.1 GENERAL 8.2 ESPECÍFICOS METODOLOGÍA 9.1 TIPO DE ESTUDIO 9.2 POBLACIÓN DE ESTUDIO 9.3 TAMAÑO DE LA MUESTRA 9.4 CRITERIOS DE INCLUSIÓN 9.5 CRITERIOS DE EXCLUSIÓN 9.6 VARIABLES 9.7 PROCEDIMIENTO 9.8 CONTROL DE CALIDAD 9.8.1 PROCESAMIENTO Y CONTROL DE LA CALIDAD DE LOS DATOS 9.8.2 MONITOREO DE LOS DATOS Y PLAN DE ANÁLISIS 9.8.3 ANÁLISIS DE LOS DATOS 10. CONSIDERACIONES ÉTICAS 11. RESULTADOS 12. DISCUSIÓN 13. LIMITACIONES Y PERSPECTIVAS FUTURAS 14. CONCLUSIONES 15. REFERENCIAS BIBLIOGRÁFICAS 16. ANEXOSspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameinstname:Universidad Autónoma de Bucaramanga - UNABspa
dc.identifier.reponamereponame:Repositorio Institucional UNABspa
dc.identifier.repourlrepourl:https://repository.unab.edu.cospa
dc.identifier.urihttp://hdl.handle.net/20.500.12749/23315
dc.language.isospaspa
dc.publisher.facultyFacultad Ciencias de la Saludspa
dc.publisher.grantorUniversidad Autónoma de Bucaramanga UNABspa
dc.publisher.programEspecialización en Urologíaspa
dc.publisher.programidEURO-1271
dc.relation.referencesSung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249spa
dc.relation.referencesGlobocan 2020 Cancer Today. Colombiaspa
dc.relation.referencesSaba K, Wettstein MS, Lieger L, Hötker AM, Donati OF, Moch H, Ankerst DP, Poyet C, Sulser T, Eberli D, Mortezavi A. External Validation and Comparison of Prostate Cancer Risk Calculators Incorporating Multiparametric Magnetic Resonance Imaging for Prediction of Clinically Significant Prostate Cancer. J Urol. 2020 Apr;203(4):719-726.spa
dc.relation.referencesOsses DF, Roobol MJ, Schoots IG. Prediction Medicine: Biomarkers, Risk Calculators and Magnetic Resonance Imaging as Risk Stratification Tools in Prostate Cancer Diagnosis. Int J Mol Sci. 2019 Apr 2;20(7):1637spa
dc.relation.referencesPoyet C, Wettstein MS, Lundon DJ, Bhindi B, Kulkarni GS, Saba K, Sulser T, Vickers AJ, Hermanns T. External Evaluation of a Novel Prostate Cancer Risk Calculator (ProstateCheck) Based on Data from the Swiss Arm of the ERSPC. J Urol. 2016 Nov;196(5):1402-1407spa
dc.relation.referencesHermanns T, Poyet C. The Next Generation of Prostate Cancer Risk Calculators. Eur Urol. 2017 Dec;72(6):897-898spa
dc.relation.referencesMannaerts CK, Gayet M, Verbeek JF, Engelbrecht MRW, Savci-Heijink CD, Jager GJ, Gielens MPM, van der Linden H, Beerlage HP, de Reijke TM, Wijkstra H, Roobol MJ. Prostate Cancer Risk Assessment in Biopsy-naïve Patients: The Rotterdam Prostate Cancer Risk Calculator in Multiparametric Magnetic Resonance Imaging-Transrectal Ultrasound (TRUS) Fusion Biopsy and Systematic TRUS Biopsy. Eur Urol Oncol. 2018 Jun;1(2):109-117.spa
dc.relation.referencesHarland N, Stenzl A, Todenhöfer T. Role of Multiparametric Magnetic Resonance Imaging in Predicting Pathologic Outcomes in Prostate Cancer. World J Mens Health. 2021 Jan;39(1):38-47.spa
dc.relation.referencesWang X, Bao J, Ping X, Hu C, Hou J, Dong F, Guo L. The diagnostic value of PI-RADS V1 and V2 using multiparametric MRI in transition zone prostate clinical cancer. Oncol Lett. 2018 Sep;16(3):3201-3206.spa
dc.relation.referencesAhmed, H. U., El-Shater Bosaily, A., Brown, L. C., Gabe, R., Kaplan, R., Parmar, M. K., Collaco-Moraes, Y., Ward, K., Hindley, R. G., Freeman, A., Kirkham, A. P., Oldroyd, R., Parker, C., Emberton, M., & PROMIS study group (2017). Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet (London, England), 389(10071), 815–822.spa
dc.relation.referencesvan Leenders, G. J. L. H., van der Kwast, T. H., Grignon, D. J., Evans, A. J., Kristiansen, G., Kweldam, C. F., Litjens, G., McKenney, J. K., Melamed, J., Mottet, N., Paner, G. P., Samaratunga, H., Schoots, I. G., Simko, J. P., Tsuzuki, T., Varma, M., Warren, A. Y., Wheeler, T. M., Williamson, S. R., Iczkowski, K. A. ISUP Grading Workshop Panel Members (2020). The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma. The American journal of surgical pathology, 44(8), e87–e99spa
dc.relation.referencesMatoso, A., & Epstein, J. I. (2019). Defining clinically significant prostate cancer on the basis of pathological findings. Histopathology, 74(1), 135–145.spa
dc.relation.referencesNordström, T., Discacciati, A., Bergman, M., Clements, M., Aly, M., Annerstedt, M., Glaessgen, A., Carlsson, S., Jäderling, F., Eklund, M., Grönberg, H., & STHLM3 study group (2021). Prostate cancer screening using a combination of risk-prediction, MRI, and targeted prostate biopsies (STHLM3-MRI): a prospective, population-based, randomised, open-label, non-inferiority trial. The Lancet. Oncology, 22(9), 1240–1249.spa
dc.relation.referencesSteiger, P., & Thoeny, H. C. (2016). Prostate MRI based on PI-RADS version 2: how we review and report. Cancer imaging : the official publication of the International Cancer Imaging Society, 16, 9.spa
dc.relation.referencesTurkbey B, Rosenkrantz AB, Haider MA, et al. Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol. 2019;76(3):340-351spa
dc.relation.referencesMcNeal, J. E., Redwine, E. A., Freiha, F. S., & Stamey, T. A. (1988). Zonal distribution of prostatic adenocarcinoma. Correlation with histologic pattern and direction of spread. The American journal of surgical pathology, 12(12), 897–906spa
dc.relation.referencesHoeks, C. M., Hambrock, T., Yakar, D., Hulsbergen-van de Kaa, C. A., Feuth, T., Witjes, J. A., Fütterer, J. J., & Barentsz, J. O. (2013). Transition zone prostate cancer: detection and localization with 3-T multiparametric MR imaging. Radiology, 266(1), 207–217.spa
dc.relation.referencesBjurlin, M. A., & Taneja, S. S. (2014). Standards for prostate biopsy. Current opinion in urology, 24(2), 155–161.spa
dc.relation.referencesLaura S. Graham et al., Management of Prostate Cancer in Older Adults. Am Soc Clin Oncol Educ Book 43, e390396(2023)spa
dc.relation.referencesRaghallaigh HN, Bott SRJ. The Role of Family History and Germline Genetics in Prostate Cancer Disease Profile and Screening. In: Barber N, Ali A, editors. Urologic Cancers [Internet]. Brisbane (AU): Exon Publications; 2022 Sep 12. Chapter 15. Available from: https://www.ncbi.nlm.nih.gov/books/NBK585972/ doi:10.36255/exon-publications-urologic-cancers-prostate-cancer-family-history-geneticsspa
dc.relation.referencesCosta, D. N., Kay, F. U., Pedrosa, I., Kolski, L., Lotan, Y., Roehrborn, C. G., Hornberger, B., Xi, Y., Francis, F., & Rofsky, N. M. (2017). An initial negative round of targeted biopsies in men with highly suspicious multiparametric magnetic resonance findings does not exclude clinically significant prostate cancer-Preliminary experience. Urologic oncology, 35(4), 149.e15–149.e21.spa
dc.relation.referencesZattoni, F., Pereira, L. J. P., Marra, G., Valerio, M., Olivier, J., Puche-Sanz, I., Rajwa, P., Maggi, M., Campi, R., Amparore, D., De Cillis, S., Junlong, Z., Guo, H., La Bombarda, G., Fuschi, A., Veccia, A., Ditonno, F., Marquis, A., Barletta, F., Leni, R., … Novara, G. (2023). The impact of a second MRI and re-biopsy in patients with initial negative mpMRI-targeted and systematic biopsy for PIRADS ≥ 3 lesions. World journal of urology, 41(11), 3357–3366.spa
dc.relation.referencesDavid MK, Leslie SW. Prostate Specific Antigen. [Updated 2022 Nov 10]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK557495/#spa
dc.relation.referencesPellegrino, F., Tin, A. L., Martini, A., Vertosick, E. A., Porwal, S. P., Stabile, A., Gandaglia, G., Eastham, J. A., Briganti, A., Montorsi, F., & Vickers, A. J. (2023). Prostate-specific Antigen Density Cutoff of 0.15 ng/ml/cc to Propose Prostate Biopsies to Patients with Negative Magnetic Resonance Imaging: Efficient Threshold or Legacy of the Past?. European urology focus, 9(2), 291–297.spa
dc.relation.referencesTzenios, N., Tazanios, M. E., & Chahine, M. (2022). The impact of body mass index on prostate cancer: An updated systematic review and meta-analysis. Medicine, 101(45), e30191spa
dc.relation.referencesDahran, N., Szewczyk-Bieda, M., Wei, C., Vinnicombe, S., & Nabi, G. (2017). Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease. Scientific reports, 7(1), 4630.spa
dc.relation.referencesLewis, S., Besa, C., Rosen, A., Rastinehad, A. R., Semaan, S., Hectors, S., & Taouli, B. (2017). Multiparametric magnetic resonance imaging for transition zone prostate cancer: essential findings, limitations, and future directions. Abdominal radiology (New York), 42(11), 2732–2744.spa
dc.relation.referencesEllis-Caleo, T., Hegde, J. V., Batth, S., Mesko, S., Reiter, R., Margolis, D., & Kamrava, M. (2017). Imaging and Pathology Correlations for Different Risk Stratification Models for Intermediate-risk Prostate Cancer. Anticancer research, 37(3), 1237–1242.spa
dc.relation.referencesAsvadi, N. H., Afshari Mirak, S., Mohammadian Bajgiran, A., Khoshnoodi, P., Wibulpolprasert, P., Margolis, D., Sisk, A., Reiter, R. E., & Raman, S. S. (2018). 3T multiparametric MR imaging, PIRADSv2-based detection of index prostate cancer lesions in the transition zone and the peripheral zone using whole mount histopathology as reference standard.spa
dc.relation.referencesGholizadeh, N., Greer, P. B., Simpson, J., Goodwin, J., Fu, C., Lau, P., Siddique, S., Heerschap, A., & Ramadan, S. (2021). Diagnosis of transition zone prostate cancer by multiparametric MRI: added value of MR spectroscopic imaging with sLASER volume selection. Journal of biomedical science, 28(1), 54spa
dc.relation.referencesRosenkrantz, A. B., Kim, S., Campbell, N., Gaing, B., Deng, F. M., & Taneja, S. S. (2015). Transition zone prostate cancer: revisiting the role of multiparametric MRI at 3 T. AJR. American journal of roentgenology, 204(3), W266–W272spa
dc.relation.referencesSathianathen, N. J., Omer, A., Harriss, E., Davies, L., Kasivisvanathan, V., Punwani, S., Moore, C. M., Kastner, C., Barrett, T., Van Den Bergh, R. C., Eddy, B. A., Gleeson, F., Macpherson, R., Bryant, R. J., Catto, J. W. F., Murphy, D. G., Hamdy, F. C., Ahmed, H. U., & Lamb, A. D. (2020). Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in the Detection of Clinically Significant Prostate Cancer in the Prostate Imaging Reporting and Data System Era: A Systematic Review and Meta-analysis. European urology, 78(3), 402–414spa
dc.relation.referencesRegis, L., Celma, A., Planas, J., Lopez, R., Roche, S., Lorente, D., Placer, J., Trilla, E., & Morote, J. (2019). The role of negative magnetic resonance imaging: can we safely avoid biopsy in P.I.-R.A.D.S. 2 as in P.I.-R.A.D.S. 1?. Scandinavian journal of urology, 53(1), 21–25spa
dc.relation.referencesMazzone, E., Stabile, A., Pellegrino, F., Basile, G., Cignoli, D., Cirulli, G. O., Sorce, G., Barletta, F., Scuderi, S., Bravi, C. A., Cucchiara, V., Fossati, N., Gandaglia, G., Montorsi, F., & Briganti, A. (2021). Positive Predictive Value of Prostate Imaging Reporting and Data System Version 2 for the Detection of Clinically Significant Prostate Cancer: A Systematic Review and Meta-analysis. European urology oncology, 4(5), 697–713.spa
dc.relation.referencesLee, J. J., Thomas, I. C., Nolley, R., Ferrari, M., Brooks, J. D., & Leppert, J. T. (2015). Biologic differences between peripheral and transition zone prostate cancer. The Prostate, 75(2), 183–190.spa
dc.relation.referencesShannon, B. A., McNeal, J. E., & Cohen, R. J. (2003). Transition zone carcinoma of the prostate gland: a common indolent tumour type that occasionally manifests aggressive behaviour. Pathology, 35(6), 467–471.spa
dc.relation.referencesSato, S., Kimura, T., Onuma, H., Egawa, S., & Takahashi, H. (2020). Transition zone prostate cancer is associated with better clinical outcomes than peripheral zone cancer. BJUI compass, 2(3), 169–177.spa
dc.relation.uriapolohttps://apolo.unab.edu.co/en/persons/milton-augusto-salazar-reyspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonsAtribución-NoComercial-SinDerivadas 2.5 Colombia*
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.subject.keywordsMedical sciencesspa
dc.subject.keywordsHealth sciencesspa
dc.subject.keywordsUrologyspa
dc.subject.keywordsMedicinespa
dc.subject.keywordsProstatespa
dc.subject.keywordsMultiparametric prostate magnetic resonancespa
dc.subject.keywordsTransitional zonespa
dc.subject.keywordsMagnetic fieldsspa
dc.subject.keywordsLaboratory diagnosisspa
dc.subject.keywordsProstate neoplasmsspa
dc.subject.lembUrologíaspa
dc.subject.lembMedicinaspa
dc.subject.lembCiencias médicasspa
dc.subject.lembCampos magnéticosspa
dc.subject.lembDiagnóstico de laboratoriospa
dc.subject.lembNeoplasmas de la próstataspa
dc.subject.proposalCiencias de la saludspa
dc.subject.proposalPróstataspa
dc.subject.proposalResonancia magnética multiparamétricaspa
dc.subject.proposalZona transicionalspa
dc.subject.proposalUrologíaspa
dc.titleRelación entre los hallazgos imagenológicos de la zona transicional en la resonancia magnética multiparamétrica de próstata y la biopsia transrectal de próstata en la Clínica Fundación Oftalmológica de Santander Foscalspa
dc.title.translatedRelationship between imaging findings in the transitional zone on multiparametric prostate magnetic resonance imaging and transrectal prostate biopsy at the Santander Ophthalmological Foundation Clinic (Foscal)spa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersion
dc.type.localTesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TM

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