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[Cellular mechanisms of tumor response: clinical demands].

Authors: M-K, Ganten; M A, Weber; T M, Ganten;

[Cellular mechanisms of tumor response: clinical demands].

Abstract

Diseases caused by cancer have become more common due to an increase in life-expectation, but the probability of reaching an old age with or without a tumor disease is still increasing. According to the statistics of the German Cancer register, at present more than half of cancer patients survive for at least 5 years after cancer has been diagnosed. Many tumors can be cured using innovative neoadjuvant and adjuvant therapy regimes, but the options for palliative therapy have also been improved. This leads to an increasing importance of the evaluation of the tumor response using imaging techniques. Classically, tumor response is measured by imaging using the RECIST (response evaluation criteria in solid tumors) criteria, which define the changes in size of the tumor during therapy. However, there is increasingly more evidence that RECIST as the only measure of tumor response, does not document tumor response for all tumor entities and especially not for many medications known as targeted therapy. This article gives a review of the principles and mode of effect of various therapy regimes as well as the clinical demands on imaging techniques.

Keywords

Diagnostic Imaging, Neoplasms, Outcome Assessment, Health Care, Humans, Computer Simulation, Prognosis, Models, Biological

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Related to Research communities
Cancer Research
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