Over the past few decades, there have been many dramatic innovations in cancer diagnosis and treatment strategies. Medical imaging plays a pivotal role in the diagnosis and treatment of cancer. It provides a comprehensive assessment of the tumors and their environments. Multiple imaging modalities are used for theranostics including optical (fluorescence or bioluminescence), nuclear (PET or SPECT), ultrasound, photoacoustic, CT, and MR imaging techniques. Radiomics is an approach for high-throughput extraction of quantitative imaging features or textures from imaging to decode histopathology and create high-dimensional datasets for feature extraction. Therefore, Radiomics may provide quantitative and objective support for decisions surrounding cancer detection and treatment.
With the development of computer-aided diagnosis technologies, radiomics-based cancer therapeutics is becoming a more accurate and non-invasive method for cancer differential diagnosis and management. As a bridge between medical imaging and personalized medicine, radiomics may enable precise diagnosis, provide personalized treatment strategies, and ultimately improve both efficacy and safety.
For this Research Topic, we are interested in Original Research, Review, Mini-Review, Opinion, and Case Report related but not limited to the aspects below:
• Multi-modality imaging(ultrasound, CT, MRI, PET, SPECT imaging, optical imaging, etc.) based radiomics for cancer diagnosis
• Radiomics-based cancer staging
• Radiomics-based treatment response assessment for cancer
• Radiomics-based prognosis prediction for cancer
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Over the past few decades, there have been many dramatic innovations in cancer diagnosis and treatment strategies. Medical imaging plays a pivotal role in the diagnosis and treatment of cancer. It provides a comprehensive assessment of the tumors and their environments. Multiple imaging modalities are used for theranostics including optical (fluorescence or bioluminescence), nuclear (PET or SPECT), ultrasound, photoacoustic, CT, and MR imaging techniques. Radiomics is an approach for high-throughput extraction of quantitative imaging features or textures from imaging to decode histopathology and create high-dimensional datasets for feature extraction. Therefore, Radiomics may provide quantitative and objective support for decisions surrounding cancer detection and treatment.
With the development of computer-aided diagnosis technologies, radiomics-based cancer therapeutics is becoming a more accurate and non-invasive method for cancer differential diagnosis and management. As a bridge between medical imaging and personalized medicine, radiomics may enable precise diagnosis, provide personalized treatment strategies, and ultimately improve both efficacy and safety.
For this Research Topic, we are interested in Original Research, Review, Mini-Review, Opinion, and Case Report related but not limited to the aspects below:
• Multi-modality imaging(ultrasound, CT, MRI, PET, SPECT imaging, optical imaging, etc.) based radiomics for cancer diagnosis
• Radiomics-based cancer staging
• Radiomics-based treatment response assessment for cancer
• Radiomics-based prognosis prediction for cancer
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
