Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Advances And New Insights Into Cancer Characterization When Novel Imaging Meets Quantitative Imaging Biomarkers PDF full book. Access full book title Advances And New Insights Into Cancer Characterization When Novel Imaging Meets Quantitative Imaging Biomarkers.
| Author | : Guang Yang |
| Publisher | : Frontiers Media SA |
| Total Pages | : 277 |
| Release | : 2022-11-29 |
| Genre | : Medical |
| ISBN | : 2832507514 |
| Author | : Guang Yang |
| Publisher | : Frontiers Media SA |
| Total Pages | : 107 |
| Release | : 2023-04-27 |
| Genre | : Medical |
| ISBN | : 2832521630 |
| Author | : Luis Martí-Bonmatí |
| Publisher | : Springer |
| Total Pages | : 313 |
| Release | : 2016-11-03 |
| Genre | : Medical |
| ISBN | : 3319435043 |
This is the first book to cover all aspects of the development of imaging biomarkers and their integration into clinical practice, from the conceptual basis through to the technical aspects that need to be considered in order to ensure that medical imaging can serve as a powerful quantification instrument capable of providing valuable information on organ and tissue properties. The process of imaging biomarker development is considered step by step, covering proof of concept, proof of mechanism, image acquisition, image preparation, imaging biomarker analysis and measurement, detection of measurement biases (proof of principle), proof of efficacy and effectiveness, and reporting of results. Sources of uncertainty in the accuracy and precision of measurements and pearls and pitfalls in gold standards and biological correlation are discussed. In addition, practical use cases are included on imaging biomarker implementation in brain, oncologic, cardiovascular, musculoskeletal, and abdominal diseases. The authors are a multidisciplinary team of expert radiologists and engineers, and the book will be of value to all with an interest in the quantitative imaging of biomarkers in personalized medicine.
| Author | : |
| Publisher | : |
| Total Pages | : 294 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
Quantitative imaging biomarkers -- numerical measurements derived from medical imaging that can be interpreted by clinicians - are a critical component of treatment response assessment in oncology. They can also play an important role in the design and interpretation of clinical trials, provided that they are measured following a standardized set of best practices. In this thesis, we have demonstrated the successful application of imaging biomarkers of treatment response to a clinical trial assessing the pharmacodynamics and pharmacokinetics of the anti-angiogenic TKI therapeutic Axitinib. We have illustrated the challenges facing quantitative imaging biomarkers in general, and gained valuable insights into anti-angiogenic therapy in particular. We have characterized the pharmacodynamics of "withdrawal flare," a rapid increase in tumor proliferation following cessation of anti-angiogenic therapy, using quantitative imaging biomarkers derived from FLT PET. This is the first time in humans that the temporal dynamics of Axitinib withdrawal flare have been characterized, a critical step in optimizing the use of this drug in combination therapy. Although we demonstrated that significant flare occurs in patients treated with Axitinib, we also observed substantial inter-patient heterogeneity in imaging response during withdrawal. Among the sub-set of patients experiencing withdrawal flare, it was found to occur at two days post-cessation of Axitinib, with relatively little additional flare between days 2 and 7 of withdrawal. Moreover, withdrawal flare was found to be associated with poor clinical outcome. We directly compared the results of the Axitinib trial with an earlier trial of a related anti-angiogenic drug, Sunitinib, which had used the same imaging biomarkers of treatment response. The proliferative and vascular response during withdrawal of Axitinib and Sunitinib was found to be nearly identical, and there is not sufficient evidence to support any significant difference in proliferative response during treatment. We also explored intra-patient, inter-lesion response heterogeneity. However, when comparing the imaging response with pre-treatment phenotypes, no significant correlations were observed, suggesting that some underlying biological mechanisms may be driving the inter-lesion differences in response. The insights gained from this original work support several hypotheses for how to improve patient treatment. These hypotheses will be partially addressed in three new ongoing clinical trials at the University of Wisconsin.
| Author | : Seyedehnafiseh Mirniaharikandehei |
| Publisher | : |
| Total Pages | : 114 |
| Release | : 2021 |
| Genre | : Diagnostic imaging |
| ISBN | : |
| Author | : Adib Keikhosravi |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : |
| ISBN | : |
Collagen forms the structural network of the extracellular matrix (ECM) in biological tissues and is the most abundant protein in vertebrates. The amount, distribution, and structural organization of fibrillar collagen are all important factors underlying the properties of tissues and play an integral role in many diseases, including cancer. There have been many studies using collagen as a biomarker in wound healing, aging, and other pathologies including fibrosis, atherosclerosis and diabetes. Most of these findings are due to advent of Second Harmonic Generation (SHG) microscopy, a type of laser scanning two-photon microscopy specific to non-cetnrosymmetric structures such as collagen molecule. However, due to the high cost, size and the need for expert operator this modality has never been clinically used. Imaging cost and lack of proper image analysis tools have been major barriers towards interrogating these stromal biomarkers and finding new insights in clinical research and diagnosis. Here we present some answers to these questions by introducing CurveAlign, a collagen analysis software package that has been widely used for quantitation of collagen images that has led to new insights regarding stromal reorganization during disease progression from wound healing to breast, pancreatic, renal cell and other types of cancer. To overcome the impracticality of using SHG microscopy in clinical pathology we have introduced and explored a variety of polarization based, fluorescence and phase imaging methods that are all clinically feasible and could be setup on pathologist microscope. However, to further facilitate the collagen imaging on H & E stained samples that have been the gold standard in diagnostic pathology we have proposed a method to computationally synthesize SHG images of collagen from bright field images of these samples as the pathologist see using microscope eyepieces by using convolutional neural networks. To further prove applicability of stromal biomarkers in pathological diagnosis we have tested whole tissue (cell and stroma) evaluation using deep learning methods to improve the diagnosis and prognosis of pancreatic cancer, which is one of the deadliest types cancer with a unique stromal response during cancer progression.
| Author | : David A. Clunie |
| Publisher | : PixelMed Publishing |
| Total Pages | : 396 |
| Release | : 2000 |
| Genre | : Communication in medicine |
| ISBN | : 0970136900 |
| Author | : Institute of Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 354 |
| Release | : 2012-09-13 |
| Genre | : Science |
| ISBN | : 0309224187 |
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
| Author | : Ruijiang Li |
| Publisher | : CRC Press |
| Total Pages | : 420 |
| Release | : 2019-07-09 |
| Genre | : Science |
| ISBN | : 1351208268 |
Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists. Features Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics Shows how they are improving diagnostic and prognostic decisions with greater efficacy Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas Covers applications in oncology and beyond, covering all major disease sites in separate chapters Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation
| Author | : Nicole Seiberlich |
| Publisher | : Academic Press |
| Total Pages | : 1094 |
| Release | : 2020-11-18 |
| Genre | : Computers |
| ISBN | : 0128170581 |
Quantitative Magnetic Resonance Imaging is a ‘go-to’ reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion. Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: The basic physics behind tissue property mapping How to implement basic pulse sequences for the quantitative measurement of tissue properties The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2* The pros and cons for different approaches to mapping perfusion The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor maps and more complex representations of diffusion How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance Fingerprinting can be used to accelerate or improve tissue property mapping schemes How tissue property mapping is used clinically in different organs Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches
