Thyroid Imaging Challenges and Opportunities: Advancing Precision Diagnosis and Treatment
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 November 2023) | Viewed by 272
Special Issue Editors
Interests: personalized medicine; precision imaging; molecular imaging; immunoPET; theranostics; targeted radionuclide therapy; immuno-oncology
Special Issue Information
Dear Colleagues,
Thyroid imaging plays a crucial role in the accurate diagnosis and effective management of thyroid diseases, including thyroid cancer. It provides valuable insights into the characterization of tumor microenvironments, and offers opportunities for personalized treatment approaches. However, the field of thyroid imaging faces various challenges that need to be addressed for further advancements. In light of this, we are pleased to announce this Special Issue on "Thyroid Imaging Challenges and Opportunities: Advancing Precision Diagnosis and Treatment", which will aim to explore the latest research and developments in this area, including radiomics and artificial intelligence (AI) applications.
This Special Issue aims to cover a wide range of topics related to thyroid imaging, highlighting both the existing challenges and the opportunities for innovation. We invite contributions in the form of research articles, literature reviews, and discussions on diagnostic and therapeutic challenges associated with thyroid imaging, with a particular emphasis on radiomics and AI integration.
The topics of focus for this Special Issue will include (but will not be limited to):
- Multimodal imaging approaches combining PET, magnetic resonance imaging (MRI), computed tomography (CT) and ultrasound for a comprehensive evaluation of thyroid nodules and cancer.
- Novel approaches in developing antibody-based imaging probes for the precise imaging of thyroid cancer and for overcoming clinical translation hurdles.
- The integration of radiomics and AI algorithms for the improved risk stratification, diagnosis, and prediction of treatment responses in thyroid cancer.
- Theranostic applications in thyroid cancer management, including image-guided interventions and targeted therapies.
- Quantitative imaging biomarkers for thyroid cancer characterization and response assessment.
- Emerging trends and innovations in AI-assisted thyroid imaging, such as deep learning algorithms and automated image analysis.
- Theranostic applications of radioimmunoimaging probes in thyroid cancer management.
We anticipate that the research and insights shared in this Special Issue will contribute to meaningful scientific discussions and advancements in the field of thyroid imaging, particularly addressing the challenges associated with accurate thyroid cancer detection and treatment using radiomics and AI approaches.
Dr. Bahar Ataeinia
Dr. Arvin Haj-Mirzaian
Guest Editors
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