Advances in Diagnostics and Prognostics in the Management of Intrathoracic Malignancies
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 2079
Special Issue Editors
2. Department of Thoracic Surgery, University Hospitals Birmingham, Birmingham, UK
Interests: thymic tumors; cardiothoracic surgery
Special Issue Information
Dear Colleagues,
Within the dynamic landscape of oncology, the management of intrathoracic malignancies has always been at the forefront of medical and technological advances with respect to diagnostic and prognostic innovations. As we have delved deeper into the intricacies of this disease's biology, our understanding of its aggressiveness, patterns, and symptomatology has expanded. Consequently, there is a pressing need to further enhance our diagnostic methods, enabling the earlier detection and monitoring of minimal-residual disease and micro-metastatic disease. Traditional staging systems, while valuable, may fall short in elucidating the complexities of disease patterns in the current era. Thus, the integration of molecular biomarkers, radiomics, artificial intelligence, and immunobiological parameters is imperative to provide comprehensive insights into disease prognosis.
This Special Issue will delve into the pivotal strides made in diagnostics and prognostics for intrathoracic malignancies, illuminating contemporary approaches shaping clinical practice. By harnessing cutting-edge technologies and insights, this collection seeks to showcase real-world examples, providing clinicians with essential tools to navigate complexities, optimize patient care, and advance towards more precise, personalized therapeutic strategies in the fight against intrathoracic cancers.
Dr. Akshay Jatin Patel
Dr. Marcus Taylor
Guest Editors
Manuscript Submission Information
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Keywords
- intrathoracic malignancies
- diagnostics
- prognostics
- molecular biomarkers
- radiomics
- artificial intelligence
- immunobiological parameters
- personalized therapy
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