Academic literature on the topic 'Diagnosis and monitoring of bladder cancer'
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Journal articles on the topic "Diagnosis and monitoring of bladder cancer"
Kawano, Takahito, Yoko Tachibana, Junichi Inokuchi, Jeong-Hun Kang, Masaharu Murata, and Masatoshi Eto. "Identification of Activated Protein Kinase Cα (PKCα) in the Urine of Orthotopic Bladder Cancer Xenograft Model as a Potential Biomarker for the Diagnosis of Bladder Cancer." International Journal of Molecular Sciences 22, no. 17 (August 27, 2021): 9276. http://dx.doi.org/10.3390/ijms22179276.
Full textChen, Ling, YaRong Wang, Le Zhao, Wei Chen, Chunhui Dong, Xinhan Zhao, and Xu Li. "Hsp74, a Potential Bladder Cancer Marker, Has Direct Interaction with Keratin 1." Journal of Immunology Research 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/492849.
Full textLi, Chong, Zhao Yang, Xu Zhang, Xing Kang, Yin Yang, Dechun Lei, Yunxia Zhao, and Shaojie Ning. "Hopes and Challenges: Translational Medical Research in Bladder Cancer." Cancer Plus 1, no. 1 (March 14, 2019): 1. http://dx.doi.org/10.18063/cp.v1i1.189.
Full textWei, Hairong, Weiming Wan, Hui Zhan, Jiansong Wang, and Jian Chen. "The Role of FGFR3 in the Diagnosis and Treatment of Bladder Cancer: A Review." Cancer Plus 3, no. 1 (February 21, 2021): 28. http://dx.doi.org/10.18063/cp.v3i1.302.
Full textBatista, Rui, Nuno Vinagre, Sara Meireles, João Vinagre, Hugo Prazeres, Ricardo Leão, Valdemar Máximo, and Paula Soares. "Biomarkers for Bladder Cancer Diagnosis and Surveillance: A Comprehensive Review." Diagnostics 10, no. 1 (January 13, 2020): 39. http://dx.doi.org/10.3390/diagnostics10010039.
Full textSchwab, Andrew J., Matthew W. Mitchell, Edward D. Karoly, and Rangaprasad Sarangarajan. "Abstract 5546: Urine metabolomic biomarkers discovery for bladder cancer diagnostics." Cancer Research 83, no. 7_Supplement (April 4, 2023): 5546. http://dx.doi.org/10.1158/1538-7445.am2023-5546.
Full textChin, Fee-Wai, Soon-Choy Chan, and Abhi Veerakumarasivam. "Homeobox Gene Expression Dysregulation as Potential Diagnostic and Prognostic Biomarkers in Bladder Cancer." Diagnostics 13, no. 16 (August 10, 2023): 2641. http://dx.doi.org/10.3390/diagnostics13162641.
Full textYang, Zhao, Nan Zhang, Zongyi Shen, Suhang Bai, Mengran Shi, Liqi Yin, Jieqiao Li, Xiaolin Lei, Changyuan Yu, and Chong Li. "Markers for Early Diagnosis and Post-operative Recurrence Monitoring of Bladder Cancer." Cancer Plus 2, no. 1 (February 14, 2020): 1. http://dx.doi.org/10.18063/cp.v2i1.270.
Full textCheng, Timothy H. T., Peiyong Jiang, Jeremy Y. C. Teoh, Macy M. S. Heung, Jacqueline C. W. Tam, Xiao Sun, Wing-Shan Lee, et al. "Noninvasive Detection of Bladder Cancer by Shallow-Depth Genome-Wide Bisulfite Sequencing of Urinary Cell-Free DNA for Methylation and Copy Number Profiling." Clinical Chemistry 65, no. 7 (July 1, 2019): 927–36. http://dx.doi.org/10.1373/clinchem.2018.301341.
Full textKałużewski, Tadeusz, Grzegorz K. Przybylski, Michał Bednarek, Sławomir Glazar, Magdalena Grabiec, Adam Jędrzejczyk, Łukasz Kępczyński, et al. "The Usefulness of Cell-Based and Liquid-Based Urine Tests in Clarifying the Diagnosis and Monitoring the Course of Urothelial Carcinoma. Identification of Novel, Potentially Actionable, RB1 and ERBB2 Somatic Mutations." Journal of Personalized Medicine 11, no. 5 (April 30, 2021): 362. http://dx.doi.org/10.3390/jpm11050362.
Full textDissertations / Theses on the topic "Diagnosis and monitoring of bladder cancer"
Bastos, Paulo André Dias. "Development of multiple reaction monitoring assays for bladder cancer diagnosis from urine samples." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/22510.
Full textO Carcinoma da Bexiga é uma doença maligna com extremas implicações físicas e psicológicas para os pacientes e de elevadas repercussões socioeconómicas. A falta de procedimentos de diagnóstico precoce não-invasivos tem permitido que a sobrevivência destes pacientes tenha permanecido inalterada nos últimos 30 anos. Desta forma, biomarcadores para diagnóstico não-invasivo são urgentemente necessários, e amostras de urina representam o meio mais promissor para alcançar este fim. Contudo, apesar de várias tentativas, ensaios imunológicos realizados em amostras de urina demonstram fraca performance clínica e analítica. Single/Multiple Reaction Monitoring (SRM/MRM) é uma técnica de espectrometria de massa para quantificação exata e absoluta. SRM/MRM representa a alternativa mais promissora para efeitos de quantificação, sendo altamente reprodutível, sensível e robusta. Desta forma, objetivou-se o desenvolvimento de ensaios por SRM/MRM para quantificação de biomarcadores de cancro da bexiga na urina, combinando múltiplos marcadores num classificador unificador. O ensaio MRM desenvolvido demonstrou em exatidão e especificidade equiparável ou superior aos ensaios imunológicos até á data disponível. Combinando SLIT2, PROF1, SPRC e NMP22 num classificador baseado em 4 marcadores resultou em performance clínica comparável (~70% sensibilidade e ~100% especificidade ou ~80% sensibilidade e ~57% especificidade) quando comparado com os ensaios convencionais. Contudo, a quantificação livre de interferências não pode ser assegurada devido a efeitos da matriz. Um método eficiente e reprodutível para remover substâncias contaminantes presentes na urina sem comprometer a deteção dos marcadores em causa é necessária para atenuar os efeitos de matriz.
Bladder cancer is a malignant disease with extreme physical and psychological implications for the patients together with major economic societal costs. The lack of early non-‐invasive diagnostic procedures has allowed survival outcomes to remain unaltered for the past 30 years. Accordingly, non-‐invasive diagnostic biomarkers are urgently needed, and urine samples represent the most promising means for non-‐invasive bladder cancer diagnosis. However, despite several encouraging claims, available immuno-‐based molecular assays display poor analytical and clinical performance in urine samples. Single/Multiple Reaction Monitoring (SRM/MRM) is a high-‐performance mass spectrometry scanning mode for precise targeted quantification. SRM/MRM represents the most promising approach for biomarker quantification purposes, as it is highly reproducible, sensitive and robust. The main aim of this thesis was thus to develop a SRM/MRM-‐based assay for bladder cancer urinary biomarker quantification, combining multiple markers into a unifying classifier. In addition, two independent chapters have been dedicated to i) the value of urine proteomics for disease diagnostics and to ii) the burden of the disease together with available tools for its diagnosis in the form of a literature meta-‐analysis and book chapter, respectively. At the individual biomarker level, the MRM assay herein developed for urine profiling provided comparable-‐to-‐superior accuracy and specificity as comparedwhen to ELISA assays. The combination of SLIT2, PROF1, SPRC and NMP22 in a 4-‐marker classifier resulted in comparable-‐to-‐superior clinical performance (~70% sensitivity with ~100% specificity ~80% sensitivity with ~57% specificity) over conventional immuno-‐based assays. However, interference-‐free measurements still could not be assured due to urinary matrix effects. A cost-‐efficient and reproducible method for the removal of unidentified urinary contaminating substances without compromising the signal for the sought biomarkers is required in order to counteract urinary matrix effects.
Oudahmane, Imane. "Évaluation de l’analyse vibrationnelle des urines comme potentiel outil diagnostique du cancer de la vessie." Electronic Thesis or Diss., Reims, 2024. http://www.theses.fr/2024REIMS049.
Full textInitial diagnosis and monitoring of bladder cancer is mainly based on cystoscopy, an invasive examination combined with urine cytology, which has limited sensitivity, especially in the early stages of this cancer. The need for non-invasive tests with improved sensitivity has led to the exploration of urine-based biomarker testing. Despite numerous advancements, no urine-based test is currently recommended for routine clinical use due to the complexity of use, performance, or cost. Vibrational analysis of urine using infrared absorption spectroscopy is an interesting approach for developing an easy-to-use, relatively inexpensive, and clinically applicable urine test. In this thesis, the diagnostic performances of this technique, combined with machine learning tools, were evaluated using urine samples from patients consulting the Urology Department of the Reims University Hospital. Despite the high spectral variability of urine samples, the combined optimization of spectral pretreatments and classification model parameters yielded promising results. Meanwhile, algorithmic developments have been developed to include clinical data, offering a way to improve the performance of these techniques in future investigations
Johnson, Emmanuel Uche. "Volatile organic compounds: novel potential biomarkers in bladder cancer diagnosis." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681344.
Full textSuh, Lara K. "Time Interval to Diagnosis of Bladder Cancer and Its Associated Outcomes." Yale University, 2008. http://ymtdl.med.yale.edu/theses/available/etd-08282007-145441/.
Full textPalmer, Scott Gordon. "Development of non-invasive techniques for bladder cancer diagnosis and therapy." Thesis, University of Dundee, 2016. https://discovery.dundee.ac.uk/en/studentTheses/cb8dc9da-ae98-44a0-aa27-56f0bd9376dc.
Full textMariappan, Paramananthan. "Quality of bladder cancer surgery : improving outcomes." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31261.
Full textMorgan, Sarah Louise. "Towards the molecular diagnosis of bladder and colorectal cancer : analysis of CD44 exon splicing." Thesis, Cranfield University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269524.
Full textNguyen, Huyen Thanh. "Dynamic Contrast-Enhanced MRI and Diffusion-Weighted MRI for the Diagnosis of Bladder Cancer." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1365176629.
Full textKalyagina, Nina. "Diffuse Reflectance Endoscopic Imaging for Bladder Early-Stage Cancer and Pre-Cancer Diagnosis : Instrumentation, Modelling and Experimental Validation." Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0099/document.
Full textThe present thesis aimed to evaluate the performance of non-invasive optical method for bladder pre- and early- cancer detection by means of diffuse-reflected laser light analysis. The analysis of light distribution at the surface of multi-layered bladder phantoms with different scattering and absorption properties showed that the changes in the optical properties lead to increase or decrease of the diffuse-reflected light spot area, detectable by a video camera. It was also determined, that the presented method is capable of detection of the photosensitizer accumulation, and can be applied for both (diffuse-reflected laser and fluorescence) studies simultaneously. The calculations for spherical and ?coated?-spherical tissue scatterers, based on the electromagnetic wave theory, allowed for obtaining optical parameters of three-layered biological phantoms and of bladder tissues at different states. These parameters served as inputs for Monte Carlo simulations, which provided us with matrices of diffuse-reflected light distributions. The study showed that the measurements of non-polarized back-scattered laser light can provide useful information on the tissue state
Kalyagina, Nina. "Diffuse Reflectance Endoscopic Imaging for Bladder Early-Stage Cancer and Pre-Cancer Diagnosis : Instrumentation, Modelling and Experimental Validation." Electronic Thesis or Diss., Université de Lorraine, 2012. http://www.theses.fr/2012LORR0099.
Full textThe present thesis aimed to evaluate the performance of non-invasive optical method for bladder pre- and early- cancer detection by means of diffuse-reflected laser light analysis. The analysis of light distribution at the surface of multi-layered bladder phantoms with different scattering and absorption properties showed that the changes in the optical properties lead to increase or decrease of the diffuse-reflected light spot area, detectable by a video camera. It was also determined, that the presented method is capable of detection of the photosensitizer accumulation, and can be applied for both (diffuse-reflected laser and fluorescence) studies simultaneously. The calculations for spherical and ?coated?-spherical tissue scatterers, based on the electromagnetic wave theory, allowed for obtaining optical parameters of three-layered biological phantoms and of bladder tissues at different states. These parameters served as inputs for Monte Carlo simulations, which provided us with matrices of diffuse-reflected light distributions. The study showed that the measurements of non-polarized back-scattered laser light can provide useful information on the tissue state
Books on the topic "Diagnosis and monitoring of bladder cancer"
J, Droller Michael, ed. Bladder cancer: Current diagnosis and treatment. Totowa, N.J: Humana Press, 2001.
Find full textNilsson, William E. Bladder cancer: Etymology, diagnosis, and treatments. Hauppauge, N.Y: Nova Science Publishers, 2010.
Find full textLee, Cheryl T. Bladder cancer: Diagnosis, therapeutics, and management. New York, NY: Humana Press, 2010.
Find full textN, Syrigos Konstantinos, and Skinner Donald G, eds. Bladder cancer: Biology, diagnosis, and management. Oxford: Oxford University Press, 1999.
Find full textHayat, M. A. Methods of Cancer Diagnosis, Therapy, and Prognosis: Ovarian Cancer, Renal Cancer, Urogenitary tract Cancer, Urinary Bladder Cancer, Cervical Uterine Cancer, Skin Cancer, Leukemia, Multiple Myeloma and Sarcoma. Dordrecht: Springer Science+Business Media B.V., 2010.
Find full textG, Maldonado Jonathon, and Cervantes Mikayla K, eds. Small cell carcinomas: Causes, diagnosis and treatment. Hauppauge, N.Y: Nova Science, 2009.
Find full textMaldonado, Jonathon G. Small cell carcinomas: Causes, diagnosis and treatment. New York: Nova Biomedical Books, 2009.
Find full textGalsky, Matthew D. Dx/Rx: Genitourinary oncology : cancer of the kidneys, bladders, and testis. 2nd ed. Sudbury, Mass: Jones & Bartlett Learning, 2012.
Find full textGiampietro, Gasparini, and Hayes Daniel 1951-, eds. Biomarkers in breast cancer: Molecular diagnostics for predicting and monitoring therapeutic effect. Totowa, N.J: Humana Press, 2006.
Find full textBook chapters on the topic "Diagnosis and monitoring of bladder cancer"
Dundar, Ilyas. "Imaging in Bladder Tumors." In The Radiology of Cancer, 217–36. Istanbul: Nobel Tip Kitabevleri, 2024. http://dx.doi.org/10.69860/nobel.9786053359364.18.
Full textGupta, Natasha, Jean H. Hoffman-Censits, and Phillip M. Pierorazio. "Oncologic Monitoring After Radical Nephroureterectomy." In Bladder Cancer, 457–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70646-3_40.
Full textLi, Roger. "Patient Evaluation and Diagnosis – Screening, Evaluation, and Workup." In Bladder Cancer, 379–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70646-3_33.
Full textGolla, Vishnukamal, and Karim Chamie. "Oncological Monitoring of NonMuscle Invasive Bladder Cancer (NMIBC)." In Bladder Cancer, 123–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70646-3_13.
Full textJung, Ichabod, Edward M. Messing, and Yves Fradet. "Diagnosis of Bladder Cancer." In Current Clinical Urology, 57–83. Totowa, NJ: Humana Press, 2001. https://doi.org/10.1007/978-1-59259-097-1_3.
Full textCanter, Daniel J., Joseph Zabell, Stephen A. Boorjian, and Christopher J. Weight. "Surveillance and Monitoring." In Management of Bladder Cancer, 429–39. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1881-2_34.
Full textPloeg, M., and J. A. Witjes. "Bladder Cancer Diagnosis and Detection: Current Status." In Bladder Tumors:, 63–77. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-928-4_4.
Full textSleeper, Joshua, and Yair Lotan. "Economics of Bladder Cancer Diagnosis and Surveillance." In Bladder Tumors:, 121–37. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-928-4_7.
Full textBryan, Rik, and Doug Ward. "Urine Biomarkers for Bladder Cancer Diagnosis and Screening." In Biology of Bladder Cancer, 371–92. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-68505-7_18.
Full textBirkenkamp-Demtröder, Karin, Iver Nordentoft, Trine Strandgaard, Sia Viborg Lindskrog, and Lars Dyrskjøt. "Blood-Based Biomarkers for Bladder Cancer Diagnosis and Prognosis." In Biology of Bladder Cancer, 393–413. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-68505-7_19.
Full textConference papers on the topic "Diagnosis and monitoring of bladder cancer"
Brinkmann, Maximilian, Anke Bonse, Ramon Droop, Felix Neumann, Steffen Ullmann, Thomas Würthwein, Niklas Lüpken, Sven Dobner, and Tim Hellwig. "Mobile SRS imaging for real-time histological assessment in bladder cancer (Conference Presentation)." In Optical Biopsy XXIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Angela B. Seddon, Lingyan Shi, and Binlin Wu, 3. SPIE, 2025. https://doi.org/10.1117/12.3042698.
Full textAmaouche, Meryem, Ouassim Karrakchou, Mounir Ghogho, Anouar El Ghazzaly, Mohamed Alami, and Ahmed Ameur. "Redefining Cystoscopy With AI: Bladder Cancer Diagnosis Using an Efficient Hybrid CNN-Transformer Model." In 2024 IEEE International Conference on Image Processing (ICIP), 3030–36. IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10647282.
Full textHan, Haoyu, Shenghan Qu, Yanze Liu, Chunhui Liu, Jiaqi Yong, and Xiaoqing Yang. "Deep Convolutional Neural Network-Based Model for Precise Grading and Diagnosis of Bladder Cancer from Pathological Images." In 2024 IEEE 7th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), 299–303. IEEE, 2024. https://doi.org/10.1109/auteee62881.2024.10869706.
Full textSingh Panesar, Gurpreet, Aman Kaushik, and Ajav Goel. "Revolutionizing Bladder Cancer Detection: Harnessing Advanced AI-Driven Learning Techniques for Enhanced Early Diagnosis and Effective Treatment Strategies." In 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS), 1027–35. IEEE, 2024. https://doi.org/10.1109/ictacs62700.2024.10840795.
Full textShin, Yoo-kyoung, You-rim Park, and Joo Beom Eom. "An implemented fluorescence imaging system for real-time monitoring of colorectal cancer location." In 3D Image Acquisition and Display: Technology, Perception and Applications, JF2A.10. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/3d.2024.jf2a.10.
Full textWu, Eric, Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, Kenny H. Cha, Caleb Richter, Richard H. Cohan, et al. "Deep learning based bladder cancer treatment response assessment." In Computer-Aided Diagnosis, edited by Horst K. Hahn and Kensaku Mori. SPIE, 2019. http://dx.doi.org/10.1117/12.2512240.
Full textMukherjee, Sushmita, James S. Wysock, Casey K. Ng, Mohammed Akhtar, Sven Perner, Ming-Ming Lee, Mark A. Rubin, Frederick R. Maxfield, Watt W. Webb, and Douglas S. Scherr. "Human bladder cancer diagnosis using multiphoton microscopy." In SPIE BiOS: Biomedical Optics, edited by Nikiforos Kollias, Bernard Choi, Haishan Zeng, Reza S. Malek, Brian J. Wong, Justus F. R. Ilgner, Kenton W. Gregory, et al. SPIE, 2009. http://dx.doi.org/10.1117/12.808314.
Full textClever, Jonathan, Lubomir Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Kenny H. Cha, Ravi K. Samala, and Chuan Zhou. "Bladder cancer segmentation using U-Net-based deep-learning." In Computer-Aided Diagnosis, edited by Khan M. Iftekharuddin and Weijie Chen. SPIE, 2023. http://dx.doi.org/10.1117/12.2654650.
Full textGrimbergen, M. C. M., C. F. P. van Swol, R. O. P. Draga, P. van Diest, R. M. Verdaasdonk, N. Stone, and J. H. L. R. Bosch. "Bladder cancer diagnosis during cystoscopy using Raman spectroscopy." In SPIE BiOS: Biomedical Optics, edited by Nikiforos Kollias, Bernard Choi, Haishan Zeng, Reza S. Malek, Brian J. Wong, Justus F. R. Ilgner, Kenton W. Gregory, et al. SPIE, 2009. http://dx.doi.org/10.1117/12.807811.
Full textBegelman, Grigory, and Ehud Rivlin. "Automatic screening of bladder cells for cancer diagnosis." In 2009 16th IEEE International Conference on Image Processing ICIP 2009. IEEE, 2009. http://dx.doi.org/10.1109/icip.2009.5414076.
Full textReports on the topic "Diagnosis and monitoring of bladder cancer"
Boyes, Allison, Jamie Bryant, Alix Hall, and Elise Mansfield. Barriers and enablers for older people at risk of and/or living with cancer to accessing timely cancer screening, diagnosis and treatment. The Sax Institute, July 2022. http://dx.doi.org/10.57022/ieoy3254.
Full textCurrent evidence for NBI technology in the diagnosis and treatment of bladder cancer. BJUI Knowledge, January 2018. http://dx.doi.org/10.18591/bjuik.0620.
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