Journal of Tumor Research

Journal of Tumor Research
Open Access

ISSN: 2684-1258

Opinion - (2021)Volume 7, Issue 6

The Impact of Tumor Treating Fields on Progression Patterns

Quan Zou*
 
*Correspondence: Quan Zou, Department of Biochemistry and Cancer Biology, Meharry Medical College, Tennessee, USA, Email:

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Abstract

The imaging science and cancer biology symposium the first in the hood collegeleidos biomedical research. Life sciences symposium series will showcase the latest technologies and advances in imaging science across the spectrum from molecules to man. The symposium comes when revolutionary advances in imaging technologies offer new and powerful tools to elucidate cancer biology. These technologies hold promise for unprecedented insights into cancer biology and molecular therapeutics. Radiation oncology for any injury and or damage to persons or property as a result of any actual or alleged libelous statements, infringement of intellectual property or privacy rights, products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions or ideas contained in the material herein.

Introduction

The imaging science and cancer biology symposium the first in the hood collegeleidos biomedical research. Life sciences symposium series will showcase the latest technologies and advances in imaging science across the spectrum from molecules to man. The symposium comes when revolutionary advances in imaging technologies offer new and powerful tools to elucidate cancer biology. These technologies hold promise for unprecedented insights into cancer biology and molecular therapeutics. Radiation oncology for any injury and or damage to persons or property as a result of any actual or alleged libelous statements, infringement of intellectual property or privacy rights, products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions or ideas contained in the material herein. Because of rapid advances in the medical sciences, in particular, independent verification of diagnoses and drug dosages should be made. Although all advertising material is expected to conform to ethical medical standards, inclusion in this publication does not constitute a guarantee or endorsement of the quality or value of such product or of the claims made of it by its manufacturer. Having an MRI diagnosis by a radiology sub-specialist is particularly important. Radiologists may be generalists reading a wide range of exams or specially trained experts who focus on a particular area. It has handpicked a team of highly-trained sub-specialists to give you peace of mind about your MRI second opinion. These physicians have the extra training and experience to assess small nuances on your exam and their MRI second opinion may make the important difference in your diagnosis. When you book your MRI second opinion, review the website carefully and select the correct sub-specialist. If you are unsure, contact for assistance. Most physicians agree that patients should conduct research about their medical symptoms. They feel patients should play an important role in their own healthcare and their MRI second opinion. In particular an MRI second opinion is particularly important for conditions where diagnosis demands a high level of radiology skill and when a misdiagnosis may result in more invasive treatment or an irreversible treatment that may be unnecessary. Future radiation oncology encompasses a broad spectrum of topics ranging from modern clinical trial design to treatment and imaging technology and biology. In more detail, the application of hybrid MRI devices in modern image-guided radiotherapy. The emerging field of radiomics the role of molecular imaging using positron emission tomography and its integration into clinical routine radiation biology with its future perspectives, the role of molecular signatures in prognostic modelling as well as special treatment modalities such as brachytherapy or proton beam therapy are areas of rapid development. . More clinically, radiation oncology will certainly find an important role in the management of oligometastasis. The treatment spectrum will also be widened by the rational integration of modern systemic targeted or immune therapies into multimodal treatment strategies. All these developments will require a concise rethinking of clinical trial design. Radiomics is defined as high throughput machine learned quantitative image features from standard of care medical imaging that enables actionable insight to be extracted and applied within clinical decision support systems to improve diagnostic, prognostic, and predictive accuracy. In oncology, this refers to the comprehensive quantification of tumor phenotypes and is a promising field of scientific investigation with a large amount of activity in recent times. A large number of molecular prognostic signatures have been published in recent years, however, only a few made it into clinical practice, such as oncotype dx or Mamma print in breast cancer. Possible reasons for the low success rate here are small, non-representative discovery cohorts, flawed study designs and inappropriate choices of bioinformatics approaches. An important decision point is the selection of discovery and external validation cohorts, while there is a discussion ongoing whether multicentric or monocentric cohorts should be used and which combination increases the chance of finding generalizable molecular signatures. Another challenge with molecular signatures is the lack of suggestions on how new prognostic factors can be integrated into the framework of existing robust clinical markers or other existing molecular signatures from other molecular levels. For this reason, an important research topic in this field is the conception of multilevel prediction approaches that allow the simultaneous generation of signatures at several molecular levels, clinical markers and existing molecular signatures

Author Info

Quan Zou*
 
Department of Biochemistry and Cancer Biology, Meharry Medical College, Tennessee, USA
 

Received: 08-Dec-2021 Accepted: 19-Dec-2021 Published: 27-Dec-2021

Copyright: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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