Intraductal papillary mucinous neoplasms (IPMNs) represent an opportunity to treat pancreatic tumors before they develop into aggressive, hard-to-treat cancers. Beginning with morphological classification and its clinical significance, natural history, and malignant change of both main duct and branch duct IPMNs, this book covers the whole field of IPMNs of the pancreas. It reviews the various methods of investigation: imaging, diagnostic investigation of cyst fluid, and those using pancreatic juice; and also examines aspects ranging from the development of malignancy to the timing and method of resection, focusing on both main duct and branch duct IPMNs. Aimed at residents, clinical fellows, and pancreatologists who treat patients with this common disease of the pancreas, this book is a landmark in the current understanding and future perspectives of IPMNs of the pancreas.

Intraductal papillary mucinous neoplasms (IPMNs) represent an opportunity to treat pancreatic tumors before they develop into aggressive, hard-to-treat cancers. Beginning with morphological classification and its clinical significance, natural history, and malignant change of both main duct and branch duct IPMNs, this book covers the whole field of IPMNs of the pancreas. It reviews the various methods of investigation: imaging, diagnostic investigation of cyst fluid, and those using pancreatic juice; and also examines aspects ranging from the development of malignancy to the timing and method of resection, focusing on both main duct and branch duct IPMNs.

Aimed at residents, clinical fellows, and pancreatologists who treat patients with this common disease of the pancreas, this book is a landmark in the current understanding and future perspectives of IPMNs of the pancreas.

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Rapid developments have taken place in biological/biomedical measurement and imaging technologies as well as in computer analysis and information technologies. The increase in data obtained with such technologies invites the reader into a virtual world that represents realistic biological tissue or organ structures in digital form and allows for simulation and what is called "in silico medicine." This volume is the third in a textbook series and covers both the basics of continuum mechanics of biosolids and biofluids and the theoretical core of computational methods for continuum mechanics analyses. Several biomechanics problems are provided for better understanding of computational modeling and analysis. Topics include the mechanics of solid and fluid bodies, fundamental characteristics of biosolids and biofluids, computational methods in biomechanics analysis/simulation, practical problems in orthopedic biomechanics, dental biomechanics, ophthalmic biomechanics, cardiovascular biomechanics, hemodynamics, cell mechanics, and model-, rule-, and image-based methods in computational biomechanics analysis and simulation. The book is an excellent resource for graduate school-level engineering students and young researchers in bioengineering and biomedicine.

The challenge for the biosciences in the twenty-first century is to integrate genome sequencing information into a better understanding of biology, physiology, and human pathology. Such attempts at integration are moving the world toward a new generation of bioscience and bioengineering, where biological, physiological, and pathological information from humans and other living animals can be quantitatively described in silico across multiple scales of time and size and through diverse hierarchies of organization - from molecules to cells and organs, to individuals. To "harness" such complexity, international communities of integrative bioscientists and bioengineers aim to establish frameworks and information infrastructures for describing biological structures and physiological functions on multiple scales of time and space. This textbook includes a public platform to describe physiological functions using mathematical equations and guides the reader to perform mathematical modeling and computer simulations, to combine existing models as well as to create new models. Accessible to biologists, physiologists, and students of the sciences, with illustrative details provided when necessary, this book seeks to achieve a systematic way of harnessing biological complexity. Sharing the databases among communities worldwide will help to find comprehensive answers to all the important questions.

Biological systems inherently possess much ambiguity or uncertainty. Computational electrophysiology is the one area, from among the vast and rapidly growing discipline of computational and systems biology, in which computational or mathematical models have succeeded. This textbook provides a practical and quick guide to both computational electrophysiology and numerical bifurcation analysis. Bifurcation analysis is a very powerful tool for the analysis of such highly nonlinear biological systems. Bifurcation theory provides a way to analyze the effect of a parameter change on a system and to detect a critical parameter value when the qualitative nature of the system changes. Included in this work are many examples of numerical computations of bifurcation analysis of various models as well as mathematical models with different abstraction levels from neuroscience and electrophysiology. This volume will benefit graduate and undergraduate students as well as researchers in diverse fields of science.