- -

Estimating the Relative Stiffness between a Hepatic Lesion and the Liver Parenchyma through Biomechanical Simulations of the Breathing Process

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Estimating the Relative Stiffness between a Hepatic Lesion and the Liver Parenchyma through Biomechanical Simulations of the Breathing Process

Mostrar el registro completo del ítem

Martinez-Sanchis, S.; Rupérez Moreno, MJ.; Nadal, E.; Pareja, E.; Brugger, S.; Borzacchiello, D.; López, R.... (2018). Estimating the Relative Stiffness between a Hepatic Lesion and the Liver Parenchyma through Biomechanical Simulations of the Breathing Process. Mathematical Problems in Engineering. 1-10. https://doi.org/10.1155/2018/5317324

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/145747

Ficheros en el ítem

Thumbnail
Nombre: Martinez-Sanchis; ...
Tamaño: 3.503Mb
Formato: PDF
Descripción: Versión editorial
Abrir/Preview

Metadatos del ítem

Título: Estimating the Relative Stiffness between a Hepatic Lesion and the Liver Parenchyma through Biomechanical Simulations of the Breathing Process
Autor: Martinez-Sanchis, Sandra Rupérez Moreno, María José Nadal, Enrique Pareja, E. Brugger, Sara Borzacchiello, D. López, R. Monserrat, C.
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Fecha difusión:
Resumen:
[EN] In this paper, a method to in vivo estimate the relative stifness between a hepatic lesion and the liver parenchyma is presented. Tis method is based on the fnite element simulation of the deformation that the liver ...[+]
Derechos de uso: Reconocimiento (by)
Fuente:
Mathematical Problems in Engineering. (issn: 1024-123X )
DOI: 10.1155/2018/5317324
Editorial:
Hindawi Limited
Versión del editor: https://doi.org/10.1155/2018/5317324
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//TIN2014-52033-R/ES/SIMULACION DEL COMPORTAMIENTO BIOMECANICO DEL TEJIDO BLANDO EN TIEMPO REAL MEDIANTE INTELIGENCIA COMPUTACIONAL/
info:eu-repo/grantAgreement/MINECO//DPI2013-40859-R/ES/SISTEMA DE SEGUIMIENTO DE LESIONES TUMORALES HEPATICAS MEDIANTE APROXIMACIONES BIOMECANICAS PARA DIAGNOSIS TEMPRANA Y PLANIFICACION DE TRATAMIENTO./
Agradecimientos:
This work has been funded by the Spanish Ministry of Economy and Competitiveness (MINECO) through research projects DPI2013-40859-R and TIN2014-52033-R, both also supported by European FEDER funds.
Tipo: Artículo

References

Kmieć, Z. (2001). Introduction — Morphology of the Liver Lobule. Advances in Anatomy Embryology and Cell Biology, 1-6. doi:10.1007/978-3-642-56553-3_1

Cequera, A., & García de León Méndez, M. C. (2014). Biomarkers for liver fibrosis: Advances, advantages and disadvantages. Revista de Gastroenterología de México (English Edition), 79(3), 187-199. doi:10.1016/j.rgmxen.2014.07.001

Vilar-Gomez, E., & Chalasani, N. (2018). Non-invasive assessment of non-alcoholic fatty liver disease: Clinical prediction rules and blood-based biomarkers. Journal of Hepatology, 68(2), 305-315. doi:10.1016/j.jhep.2017.11.013 [+]
Kmieć, Z. (2001). Introduction — Morphology of the Liver Lobule. Advances in Anatomy Embryology and Cell Biology, 1-6. doi:10.1007/978-3-642-56553-3_1

Cequera, A., & García de León Méndez, M. C. (2014). Biomarkers for liver fibrosis: Advances, advantages and disadvantages. Revista de Gastroenterología de México (English Edition), 79(3), 187-199. doi:10.1016/j.rgmxen.2014.07.001

Vilar-Gomez, E., & Chalasani, N. (2018). Non-invasive assessment of non-alcoholic fatty liver disease: Clinical prediction rules and blood-based biomarkers. Journal of Hepatology, 68(2), 305-315. doi:10.1016/j.jhep.2017.11.013

Giannini, E. G. (2005). Liver enzyme alteration: a guide for clinicians. Canadian Medical Association Journal, 172(3), 367-379. doi:10.1503/cmaj.1040752

Oliva, M. R. (2004). Liver cancer imaging: role of CT, MRI, US and PET. Cancer Imaging, 4(Special Issue A), S42-S46. doi:10.1102/1470-7330.2004.0011

Mouw, J. K., Yui, Y., Damiano, L., Bainer, R. O., Lakins, J. N., Acerbi, I., … Weaver, V. M. (2014). Tissue mechanics modulate microRNA-dependent PTEN expression to regulate malignant progression. Nature Medicine, 20(4), 360-367. doi:10.1038/nm.3497

Paszek, M. J., Zahir, N., Johnson, K. R., Lakins, J. N., Rozenberg, G. I., Gefen, A., … Weaver, V. M. (2005). Tensional homeostasis and the malignant phenotype. Cancer Cell, 8(3), 241-254. doi:10.1016/j.ccr.2005.08.010

Kuo, Y.-H., Lu, S.-N., Hung, C.-H., Kee, K.-M., Chen, C.-H., Hu, T.-H., … Wang, J.-H. (2010). Liver stiffness measurement in the risk assessment of hepatocellular carcinoma for patients with chronic hepatitis. Hepatology International, 4(4), 700-706. doi:10.1007/s12072-010-9223-1

Heide, R., Strobel, D., Bernatik, T., & Goertz, R. (2010). Characterization of Focal Liver Lesions (FLL) with Acoustic Radiation Force Impulse (ARFI) Elastometry. Ultraschall in der Medizin - European Journal of Ultrasound, 31(04), 405-409. doi:10.1055/s-0029-1245565

Frulio, N., Laumonier, H., Carteret, T., Laurent, C., Maire, F., Balabaud, C., … Trillaud, H. (2013). Evaluation of Liver Tumors Using Acoustic Radiation Force Impulse Elastography and Correlation With Histologic Data. Journal of Ultrasound in Medicine, 32(1), 121-130. doi:10.7863/jum.2013.32.1.121

Ma, X., Zhan, W., Zhang, B., Wei, B., Wu, X., Zhou, M., … Li, P. (2014). Elastography for the differentiation of benign and malignant liver lesions: a meta-analysis. Tumor Biology, 35(5), 4489-4497. doi:10.1007/s13277-013-1591-4

Guo, L.-H., Wang, S.-J., Xu, H.-X., Sun, L.-P., Zhang, Y.-F., Xu, J.-M., … Xu, X.-H. (2015). Differentiation of benign and malignant focal liver lesions: value of virtual touch tissue quantification of acoustic radiation force impulse elastography. Medical Oncology, 32(3). doi:10.1007/s12032-015-0543-9

Dietrich, C., Bamber, J., Berzigotti, A., Bota, S., Cantisani, V., Castera, L., … Thiele, M. (2017). EFSUMB Guidelines and Recommendations on the Clinical Use of Liver Ultrasound Elastography, Update 2017 (Long Version). Ultraschall in der Medizin - European Journal of Ultrasound, 38(04), e16-e47. doi:10.1055/s-0043-103952

Ferraioli, G., Filice, C., Castera, L., Choi, B. I., Sporea, I., Wilson, S. R., … Kudo, M. (2015). WFUMB Guidelines and Recommendations for Clinical Use of Ultrasound Elastography: Part 3: Liver. Ultrasound in Medicine & Biology, 41(5), 1161-1179. doi:10.1016/j.ultrasmedbio.2015.03.007

Sigrist, R. M. S., Liau, J., Kaffas, A. E., Chammas, M. C., & Willmann, J. K. (2017). Ultrasound Elastography: Review of Techniques and Clinical Applications. Theranostics, 7(5), 1303-1329. doi:10.7150/thno.18650

Cosgrove, D., Piscaglia, F., Bamber, J., Bojunga, J., Correas, J.-M., Gilja, O., … Dietrich, C. (2013). EFSUMB Guidelines and Recommendations on the Clinical Use of Ultrasound Elastography.Part 2: Clinical Applications. Ultraschall in der Medizin - European Journal of Ultrasound, 34(03), 238-253. doi:10.1055/s-0033-1335375

Palmeri, M. L., & Nightingale, K. R. (2011). What challenges must be overcome before ultrasound elasticity imaging is ready for the clinic? Imaging in Medicine, 3(4), 433-444. doi:10.2217/iim.11.41

Samir, A. E., Dhyani, M., Vij, A., Bhan, A. K., Halpern, E. F., Méndez-Navarro, J., … Chung, R. T. (2015). Shear-Wave Elastography for the Estimation of Liver Fibrosis in Chronic Liver Disease: Determining Accuracy and Ideal Site for Measurement. Radiology, 274(3), 888-896. doi:10.1148/radiol.14140839

Toshima, T., Shirabe, K., Takeishi, K., Motomura, T., Mano, Y., Uchiyama, H., … Maehara, Y. (2011). New method for assessing liver fibrosis based on acoustic radiation force impulse: a special reference to the difference between right and left liver. Journal of Gastroenterology, 46(5), 705-711. doi:10.1007/s00535-010-0365-7

Barr, R. G., Ferraioli, G., Palmeri, M. L., Goodman, Z. D., Garcia-Tsao, G., Rubin, J., … Levine, D. (2015). Elastography Assessment of Liver Fibrosis: Society of Radiologists in Ultrasound Consensus Conference Statement. Radiology, 276(3), 845-861. doi:10.1148/radiol.2015150619

Venkatesh, S. K., Yin, M., & Ehman, R. L. (2013). Magnetic resonance elastography of liver: Technique, analysis, and clinical applications. Journal of Magnetic Resonance Imaging, 37(3), 544-555. doi:10.1002/jmri.23731

Low, G. (2016). General review of magnetic resonance elastography. World Journal of Radiology, 8(1), 59. doi:10.4329/wjr.v8.i1.59

Thompson, S. M., Wang, J., Chandan, V. S., Glaser, K. J., Roberts, L. R., Ehman, R. L., & Venkatesh, S. K. (2017). MR elastography of hepatocellular carcinoma: Correlation of tumor stiffness with histopathology features—Preliminary findings. Magnetic Resonance Imaging, 37, 41-45. doi:10.1016/j.mri.2016.11.005

Myronenko, A., & Xubo Song. (2010). Point Set Registration: Coherent Point Drift. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(12), 2262-2275. doi:10.1109/tpami.2010.46

Martínez-Martínez, F., Lago, M. A., Rupérez, M. J., & Monserrat, C. (2013). Analysis of several biomechanical models for the simulation of lamb liver behaviour using similarity coefficients from medical image. Computer Methods in Biomechanics and Biomedical Engineering, 16(7), 747-757. doi:10.1080/10255842.2011.637492

Untaroiu, C. D., & Lu, Y.-C. (2013). Material characterization of liver parenchyma using specimen-specific finite element models. Journal of the Mechanical Behavior of Biomedical Materials, 26, 11-22. doi:10.1016/j.jmbbm.2013.05.013

Large deformation isotropic elasticity – on the correlation of theory and experiment for incompressible rubberlike solids. (1972). Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences, 326(1567), 565-584. doi:10.1098/rspa.1972.0026

Chui, C., Kobayashi, E., Chen, X., Hisada, T., & Sakuma, I. (2006). Transversely isotropic properties of porcine liver tissue: experiments and constitutive modelling. Medical & Biological Engineering & Computing, 45(1), 99-106. doi:10.1007/s11517-006-0137-y

Hostettler, A., George, D., Rémond, Y., Nicolau, S. A., Soler, L., & Marescaux, J. (2010). Bulk modulus and volume variation measurement of the liver and the kidneys in vivo using abdominal kinetics during free breathing. Computer Methods and Programs in Biomedicine, 100(2), 149-157. doi:10.1016/j.cmpb.2010.03.003

Chatterjee, S., Laudato, M., & Lynch, L. A. (1996). Genetic algorithms and their statistical applications: an introduction. Computational Statistics & Data Analysis, 22(6), 633-651. doi:10.1016/0167-9473(96)00011-4

Martínez-Martínez, F., Rupérez, M. J., Martín-Guerrero, J. D., Monserrat, C., Lago, M. A., Pareja, E., … López-Andújar, R. (2013). Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation. Computer Methods and Programs in Biomedicine, 111(3), 537-549. doi:10.1016/j.cmpb.2013.05.005

Lago, M. A., Rupérez, M. J., Martínez-Martínez, F., Monserrat, C., Larra, E., Güell, J. L., & Peris-Martínez, C. (2015). A new methodology for the in vivo estimation of the elastic constants that characterize the patient-specific biomechanical behavior of the human cornea. Journal of Biomechanics, 48(1), 38-43. doi:10.1016/j.jbiomech.2014.11.009

Lago, M. A., Rupérez, M. J., Martínez-Martínez, F., Martínez-Sanchis, S., Bakic, P. R., & Monserrat, C. (2015). Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues. Expert Systems with Applications, 42(21), 7942-7950. doi:10.1016/j.eswa.2015.05.058

Hoyt, K., Castaneda, B., Zhang, M., Nigwekar, P., di Sant’Agnese, P. A., Joseph, J. V., … Parker, K. J. (2008). Tissue elasticity properties as biomarkers for prostate cancer. Cancer Biomarkers, 4(4-5), 213-225. doi:10.3233/cbm-2008-44-505

Xu, W., Mezencev, R., Kim, B., Wang, L., McDonald, J., & Sulchek, T. (2012). Cell Stiffness Is a Biomarker of the Metastatic Potential of Ovarian Cancer Cells. PLoS ONE, 7(10), e46609. doi:10.1371/journal.pone.0046609

Martinez-Sanchis, S., Rupérez, M. J., Nadal, E., Borzacchiello, D., Monserrat, C., Pareja, E., … López-Andújar, R. (2017). Estimating the Patient-Specific Relative Stiffness Between a Hepatic Lesion and the Liver Parenchyma. Lecture Notes in Computational Vision and Biomechanics, 485-494. doi:10.1007/978-3-319-68195-5_53

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem