Dear Colleagues,

In recent years, the role of imaging has rapidly evolved from sole detection and measurement of malignant lesions to prognostication, treatment prediction and prediction of histologic features of tumors.

This led to a novel field of imaging analysis: Radiomics, which can aid in all of different clinical aspects of oncologic imaging. Due to the advent of artificial intelligence in imaging research and even in clinical routine, the field of oncologic imaging will be significantly improved. The advent of hybrid imaging with PET-CT and PET-MRT helps to better characterize tumors in a morphological and functional way.

Possible associations between imaging and histopathology features are identified due to deeper understanding of tumors by imaging modalities and analyses methods.

There is no doubt that clinical translation of these novel techniques will be achieved soon.

In this Special Issue, we aim to highlight recent advances in the context of Radiomics to predict prognostic informations of tumors and to elucidate possible associations between imaging and histopathology. Papers investigating these novel aspects of oncologic imaging are welcomed in this Special Issue.

Dr. Hans-Jonas Meyer
Guest Editor

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• Radiomics
• histopathology
• texture analysis
• CT
• MRI
• PET