The feasibility of computational modelling technique to detect the bladder cancer |
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| Authors: | Ahmad Keshtkar Asghar Mesbahi SH Rasta Asghar Keshtkar |
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| Institution: | 1. Medical Physics Department, Medical Faculty, Tabriz University of Medical Sciences, Tabriz, Iran;2. The Faculty of Engineering and Technology, Imam Khomeini International University, Ghazvin, Iran;1. Freemasons Foundation Centre for Men''s Health, University of Adelaide, Adelaide, South Australia;2. School of Medicine, University of Adelaide, Adelaide, South Australia;3. Population Research and Outcome Studies, University of Adelaide, Adelaide, South Australia;4. SANSOM Institute, Division of Health Sciences, University of South Australia, Adelaide, South Australia;1. Department of Oncology, Queen''s University, Kingston, Canada;2. Department of Urology, Queen''s University, Kingston, Canada;3. Department of Public Health Sciences, Queen''s University, Kingston, Canada;4. Department of Pathology, Queen''s University, Kingston, Canada;5. Division of Cancer Care and Epidemiology, Queen''s University Cancer Research Institute, Queen''s University, Kingston, Canada;1. Department of Radiation Oncology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA;2. Jonsson Comprehensive Cancer Center, Los Angeles, CA;3. Department of Urology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA;1. Department of Urology and Transplantation, Saint Louis Academic Hospital, Paris Diderot University, Paris, France;2. Department of Urology and Transplantation, Picardie Jules Verne University, CHU Amiens, Amiens, France;3. Department of Urology, Henri Mondor Hospital, Paris Est Creteil University, Créteil, France;4. Department of Pathology, Picardie Jules Verne University, CHU Amiens, Amiens, France;5. Department of Pathology, Henri Mondor Hospital, Paris Est Creteil University, Créteil, France;6. HeRVI EA 3801, Picardie Jules Verne University, CHU Amiens, Amiens, France;1. Department of Molecular Medicine, University of Padova Medical School, University of Padova, Italy;2. Department of Basic Medical Sciences, Neurosciences, and Sensory Organs, University of Bari Medical School, Piazza Giulio Cesare, 11, 70124 Bari, Italy;3. Department of Emergency and Transplantation, Pathology Section, University of Bari Medical School, Bari, Italy;4. Department of Emergency and Transplantation, Hematology Section, University of Bari Medical School, Italy;5. National Cancer Institute “Giovanni Paolo II”, Bari, Italy;1. Department of Urology, Urological Research Institute, Vita-Salute San Raffaele University, San Raffaele Scientific Institute, Milan, Italy;2. Department of Urology, Medical University of Vienna, Vienna, Austria;3. Klinik für Urologie, Luzerner Kantonsspital, Lucerne, Switzerland;4. Karl Landsteiner Institute of Urology and Andrology, Vienna, Austria;5. Department of Urology, Weill Cornell Medical College, New York-Presbyterian Hospital, New York, NY;6. Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX;7. Division of Urology, Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman, Jordan |
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| Abstract: | A numerical technique, finite element analysis (FEA) was used to model the electrical properties, the bio impedance of the bladder tissue in order to predict the bladder cancer. This model results showed that the normal bladder tissue have significantly higher impedance than the malignant tissue that was in opposite with the impedance measurements or the experimental results. Therefore, this difference can be explained using the effects of inflammation, oedema on the urothelium and the property of the bladder as a distensible organ. Furthermore, the different current distributions inside the bladder tissue (in histological layers) in normal and malignant cases and finally different applied pressures over the bladder tissue can cause different impedances for the bladder tissue. Finally, it is believed that further studies have to be carried out to characterise the human bladder tissue using the electrical impedance measurement and modelling techniques. |
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