Image-Guided Cancer Diagnosis and Therapy
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 27576
Special Issue Editors
Interests: radiotherapy; radiomics; texture analysis; nsclc
Interests: magnetic resonance; oncologic radiology; abdominal radiology; bone metastases; lung cancer; breast cancer; colo-rectal cancer; whole-body diffusion-weighted imaging; whole-body MRI; contrast media; computed tomography
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Special Issue Information
Dear Colleagues,
In the last decade, the definition of precision medicine has seen raised interest, thanks to the huge advances in technologies and knowledge of both the human body and diseases.
Precision medicine represents an opportunity to provide far more tailored treatments, taking into consideration that particular attributes and characteristics are unique for patients.
In oncology, this concept is known as precision oncology, defined as the molecular profiling of tumors to identify targetable alterations, and is rapidly developing and has entered the mainstream of clinical practice.
In the fields of imaging, that involve both radiology and radiation oncology, the corresponding concept is represented by the image-guided precision medicine, defined as the use of any form of medical imaging to plan, perform, and evaluate procedures and interventions.
The cross-sectional digital imaging modalities magnetic resonance imaging (MRI) and computed tomography (CT) are the most commonly used modalities of image-guided therapy. These procedures are also supported by ultrasound, angiography, surgical navigation equipment, tracking tools, and integration software.
At the same time, recent developments in radiotherapy with the incorporation of intensity-modulated radiotherapy, molecular imaging-guided radiotherapy, adaptive radiotherapy, and proton therapy have always included image-guided approaches in the workflow.
Last (but not least), radiomics can also be included in this context, as a method that extracts a large number of features from medical images using data-characterisation algorithms, with the aim of uncovering tumoral patterns and characteristics that cannot be appreciated by the naked eye.
For this Special Issue, we welcome basic translational and clinical research papers, cancer biomarkers, professional opinions, and reviews in the broad field of image-guided cancer diagnosis and therapy in the following categories:
- CNS
- Head and neck
- Breast
- Hematology
- Upper GI (oesophagus, stomach, pancreas, liver)
- Lung
- Gynaecological (endometrium, cervix, vagina, vulva)
- Lower GI (colon, rectum, anus)
- Non-prostate urology-
- Prostate
- Sarcoma
- Skin cancer/malignant melanoma
- Palliation
- Pediatric tumours
- Elderly Oncology
Dr. Valerio Nardone
Dr. Alfonso Reginelli
Guest Editors
Manuscript Submission Information
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