Vivek Verma – författare

Supported by real-world case studies, this essential textbook provides a detailed overview of the use of biostatistical tools and methods, enabling students and researchers to undertake their own research with confidence and understanding.After a general introduction to the field, the book provides a step-by-step description of the essential statistical methods that are foundational to analysing data from clinical trials, epidemiological studies and other health-related research. From basic concepts such as probability and distribution through to hypothesis testing, regression analysis, survival analysis, meta-analysis and systematic reviews, each chapter is designed with a clear pedagogical approach featuring explanatory diagrams, real-life examples and sample problems. Later sections of the book cover clinical trial design and analysis, diagnostic testing, Bayesian methods and machine learning. Through this detailed, comprehensive treatment of the key tools and methods, the book encourages readers to develop their own critical thinking skills, recognising good or bad pieces of research when they see them, asking questions about where evidence and assumptions come from or choosing the most appropriate biostatistical methodologies in their own research.Written by a team of experts with extensive teaching experience in this field, this is the ideal textbook for graduate students and researchers across the biomedical sciences, from public health to epidemiology to clinical medicine.

Supported by real-world case studies, this essential textbook provides a detailed overview of the use of biostatistical tools and methods, enabling students and researchers to undertake their own research with confidence and understanding.After a general introduction to the field, the book provides a step-by-step description of the essential statistical methods that are foundational to analysing data from clinical trials, epidemiological studies and other health-related research. From basic concepts such as probability and distribution through to hypothesis testing, regression analysis, survival analysis, meta-analysis and systematic reviews, each chapter is designed with a clear pedagogical approach featuring explanatory diagrams, real-life examples and sample problems. Later sections of the book cover clinical trial design and analysis, diagnostic testing, Bayesian methods and machine learning. Through this detailed, comprehensive treatment of the key tools and methods, the book encourages readers to develop their own critical thinking skills, recognising good or bad pieces of research when they see them, asking questions about where evidence and assumptions come from or choosing the most appropriate biostatistical methodologies in their own research.Written by a team of experts with extensive teaching experience in this field, this is the ideal textbook for graduate students and researchers across the biomedical sciences, from public health to epidemiology to clinical medicine.

Supported by real-world case studies, this essential textbook provides a detailed overview of the use of biostatistical tools and methods, enabling students and researchers to undertake their own research with confidence and understanding.After a general introduction to the field, the book provides a step-by-step description of the essential statistical methods that are foundational to analysing data from clinical trials, epidemiological studies and other health-related research. From basic concepts such as probability and distribution through to hypothesis testing, regression analysis, survival analysis, meta-analysis and systematic reviews, each chapter is designed with a clear pedagogical approach featuring explanatory diagrams, real-life examples and sample problems. Later sections of the book cover clinical trial design and analysis, diagnostic testing, Bayesian methods and machine learning. Through this detailed, comprehensive treatment of the key tools and methods, the book encourages readers to develop their own critical thinking skills, recognising good or bad pieces of research when they see them, asking questions about where evidence and assumptions come from or choosing the most appropriate biostatistical methodologies in their own research.Written by a team of experts with extensive teaching experience in this field, this is the ideal textbook for graduate students and researchers across the biomedical sciences, from public health to epidemiology to clinical medicine.

Supported by real-world case studies, this essential textbook provides a detailed overview of the use of biostatistical tools and methods, enabling students and researchers to undertake their own research with confidence and understanding.After a general introduction to the field, the book provides a step-by-step description of the essential statistical methods that are foundational to analysing data from clinical trials, epidemiological studies and other health-related research. From basic concepts such as probability and distribution through to hypothesis testing, regression analysis, survival analysis, meta-analysis and systematic reviews, each chapter is designed with a clear pedagogical approach featuring explanatory diagrams, real-life examples and sample problems. Later sections of the book cover clinical trial design and analysis, diagnostic testing, Bayesian methods and machine learning. Through this detailed, comprehensive treatment of the key tools and methods, the book encourages readers to develop their own critical thinking skills, recognising good or bad pieces of research when they see them, asking questions about where evidence and assumptions come from or choosing the most appropriate biostatistical methodologies in their own research.Written by a team of experts with extensive teaching experience in this field, this is the ideal textbook for graduate students and researchers across the biomedical sciences, from public health to epidemiology to clinical medicine.

Ideal as a graduate textbook, this title is aimed at helping design effective biomaterials, taking into account the complex interactions that occur at the interface when a synthetic material is inserted into a living system.  Surface reactivity, biochemistry, substrates, cleaning, preparation, and coatings are presented, with numerous case studies and applications throughout.Highlights include: Starts with concepts and works up to real-life applications such as implantable devices, medical devices, prosthetics, and drug delivery technologyAddresses surface reactivity, requirements for surface coating, cleaning and preparation techniques, and characterizationDiscusses the biological response to coatingsAddresses biomaterial-tissue interactionIncorporates nanomechanical properties and processing strategies

Ideal as a graduate textbook, this title is aimed at helping design effective biomaterials, taking into account the complex interactions that occur at the interface when a synthetic material is inserted into a living system.  Surface reactivity, biochemistry, substrates, cleaning, preparation, and coatings are presented, with numerous case studies and applications throughout.

 Highlights include:

Starts with concepts and works up to real-life applications such as implantable devices, medical devices, prosthetics, and drug delivery technology Addresses surface reactivity, requirements for surface coating, cleaning and preparation techniques, and characterization Discusses the biological response to coatings Addresses biomaterial-tissue interaction Incorporates nanomechanical properties and processing strategies

Ideal as a graduate textbook, this title is aimed at helping design effective biomaterials, taking into account the complex interactions that occur at the interface when a synthetic material is inserted into a living system.  Surface reactivity, biochemistry, substrates, cleaning, preparation, and coatings are presented, with numerous case studies and applications throughout.

 Highlights include:

Starts with concepts and works up to real-life applications such as implantable devices, medical devices, prosthetics, and drug delivery technology Addresses surface reactivity, requirements for surface coating, cleaning and preparation techniques, and characterization Discusses the biological response to coatings Addresses biomaterial-tissue interaction Incorporates nanomechanical properties and processing strategies

DSCT Technology / Contrast Medium Dual Source CT Technology Bernhard Schmidt, Christiane Koch, Thomas Flohr 11 Ultravist(R): New Perspectives with Dual Source CT Matthias Brautigam, Philipp Lengsfeld, Ute Hubner-Steiner, Hubertus Pietsch 29 Cardiovascular and Body Radiology DSCT Applications Cardiac: Coronary CT Angiography Kunming Medical College 47 Cardiac: Coronary Stents Shanghai Xinhua Hospital 55 Cardiac: Coronary CTA in Obese Patients PUMC, Beijing 63 Cardiac: Valvular Function Asan Medical Center 71 Cardiac: Morphology Singapore General Hospital 79 Cardiac: Atrial Fibrillation / Arrhythmia PUMC, Beijing 87 Cardiac: Bypass Grafts Chonbuk National University Hospital 95 Vascular: Extended Chest Pain Protocol Seoul National University Hospital 103 Vascular: Pulmonary Veins Kunming Medical College 111 Vascular: Aortic Runoff, Abdominal CTA Singapore General Hospital 119 Vascular: Renal CTA 1st Af?liated Hospital of China Medical University 127 3 Vascular: Peripheral Runoff Seoul National University Hospital 135 Vascular: Brain Perfusion Chonbuk National University Hospital 143 Dual Energy CT Applications Dual Energy: CTA of Head and Neck Shanghai Xinhua Hospital 153 Dual Energy: CTA Aorta 1st Af?liated Hospital of China Medical University 161 Dual Energy: CTA Lung Perfusion (PE) Asan Medical Center 167 Dual Energy: Virtual Non-Contrast 1st Af?liated Hospital of China Medical University 175 Dual Energy: Vascular Plaque Detection / Removal PUMC, Beijing 183 Abbreviations 191 4 Dear Colleagues It is our great pleasure to present to you the Asian adaptation of the Dual Source CT (DSCT) imaging protocol book.