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Novel Radiomics And Deep Learning Approaches Targeting The Tumor Environment To Predict Response To Chemotherapy


Novel Radiomics And Deep Learning Approaches Targeting The Tumor Environment To Predict Response To Chemotherapy
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Novel Radiomics And Deep Learning Approaches Targeting The Tumor Environment To Predict Response To Chemotherapy


Novel Radiomics And Deep Learning Approaches Targeting The Tumor Environment To Predict Response To Chemotherapy
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Author : Nathaniel Braman
language : en
Publisher:
Release Date : 2020

Novel Radiomics And Deep Learning Approaches Targeting The Tumor Environment To Predict Response To Chemotherapy written by Nathaniel Braman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Biochemical markers categories.


As the arsenal of therapeutic strategies in the fight against cancer grows, so too does the need for predictive biomarkers that can precisely guide their use in order to match patients with their optimal personalized treatment plan. Currently, clinicians often have little recourse but to initiate treatment and monitor a tumor for signs of response or progression, which exposes non-responsive patients to overtreatment, harmful side effects, and windows of ineffective therapy that increase a patient's risk of progression or metastasis. Thus, there is an urgent need for new sources of predictive biomarkers to help more effectively plan personalized treatment strategies. Radiological images acquired before treatment may contain previously untapped predictive information that can be quantified in the form of computational imaging biomarkers. The vast majority of existing computational imaging biomarkers provides analysis limited to the tumor region itself. However, the tumor environment contains critical biological information pertinent to tumor progression and treatment outcome, such as tumor-associated vascularization and immune response. This dissertation focuses on the development of new, biologically-inspired computational imaging biomarkers targeting the tumor environment for the prediction of response to a wide range of chemotherapeutic and targeted treatment strategies in oncology. First, we explore measurements of textural heterogeneity within the tumor and surrounding peritumoral environment, and demonstrate the ability to predict therapeutic response and tumor biology to neoadjuvant chemotherapy in primary and targeted therapy in primary and metastatic breast cancer. Second, we introduce morphologic techniques for the quantification of the twistedness and organization of the tumor-associated vasculature, and demonstrate their association with response and survival following four different therapeutic strategies in breast cancer MRI and non-small cell lung cancer CT. Third, we present novel deep learning strategies involving the training of specialized convolutional neural networks tailored to the prediction of response to chemotherapy and targeted therapy from MRI. Finally, we present a novel methodology to combine the computational imaging biomarkers across both the tumor and peritumoral environment.



Radiomics And Radiogenomics


Radiomics And Radiogenomics
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Author : Ruijiang Li
language : en
Publisher: CRC Press
Release Date : 2019-07-09

Radiomics And Radiogenomics written by Ruijiang Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-09 with Science categories.


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



Radiomics And Radiogenomics In Neuro Oncology


Radiomics And Radiogenomics In Neuro Oncology
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Author : Hassan Mohy-ud-Din
language : en
Publisher: Springer Nature
Release Date : 2020-02-24

Radiomics And Radiogenomics In Neuro Oncology written by Hassan Mohy-ud-Din and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-24 with Computers categories.


This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.



Radiomics And Its Clinical Application


Radiomics And Its Clinical Application
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Author : Jie Tian
language : en
Publisher: Academic Press
Release Date : 2021-06-03

Radiomics And Its Clinical Application written by Jie Tian and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-03 with Computers categories.


The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice. An introduction to the concepts of radiomics In-depth presentation of the core technologies and methods Summary of current radiomics research, perspective on the future of radiomics and the challenges ahead An introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms



Imaging In Oncology


Imaging In Oncology
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Author : Janet Husband
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Imaging In Oncology written by Janet Husband and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Medical categories.


Building on the foundation laid down by the first edition, the 1998 winner of the Royal Society's award for the Multi-author Textbook of the Year, Imaging in Oncology, Second Edition presents an extensively referenced, evidence-based analysis of the role of imaging in planning treatment. Emphasizing image interpretation for tumor staging and follow



Contouring In Head And Neck Cancer


Contouring In Head And Neck Cancer
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Author : Peter C. Levendag
language : en
Publisher: Elsevier,Urban&FischerVerlag
Release Date : 2009

Contouring In Head And Neck Cancer written by Peter C. Levendag and has been published by Elsevier,Urban&FischerVerlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.




Antiangiogenic Cancer Therapy


Antiangiogenic Cancer Therapy
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Author : Darren W. Davis
language : en
Publisher: CRC Press
Release Date : 2007-07-25

Antiangiogenic Cancer Therapy written by Darren W. Davis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-25 with Medical categories.


Top Investigators Explore the Complexities of Angiogenesis Cancer Research The targeting of tumor angiogenesis has evolved into one of the most widely pursued therapeutic strategies. However, as of yet, no antiangiogenic agent used as a monotherapy has demonstrated a survival benefit in a randomized Phase III trial. The combination of bev



Application Of Bioinformatics In Cancers


Application Of Bioinformatics In Cancers
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Author : Chad Brenner
language : en
Publisher: MDPI
Release Date : 2019-11-20

Application Of Bioinformatics In Cancers written by Chad Brenner and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Medical categories.


This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.



Artificial Intelligence In Medical Imaging


Artificial Intelligence In Medical Imaging
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Author : Erik R. Ranschaert
language : en
Publisher: Springer
Release Date : 2019-01-29

Artificial Intelligence In Medical Imaging written by Erik R. Ranschaert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Medical categories.


This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.



Companion And Complementary Diagnostics


Companion And Complementary Diagnostics
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Author : Jan Trøst Jørgensen
language : en
Publisher: Academic Press
Release Date : 2019-05-08

Companion And Complementary Diagnostics written by Jan Trøst Jørgensen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-08 with Medical categories.


Companion and Complementary Diagnostics: From Biomarker Discovery to Clinical Implementation provides readers with in-depth insights into the individual steps in the development of companion diagnostic assays, from the early biomarker discovery phase straight through to final regulatory approval. Further, the clinical implementation of companion diagnostic testing in the clinic is also discussed. As the development of predictive or selective biomarker assays linked to specific drugs is substantially increasing, this book offers comprehensive information on this quickly-evolving area of biomedicine. It is an essential resource for those in academic institutions, hospitals and pharma, and biotech and diagnostic commercial companies. Covers all aspects, from biomarker discovery, to development and regulatory approval Explains the "how to" aspects of companion diagnostics Incorporates information on the entire process, allowing for easier and deeper understanding of the topic