Advances in Tumor Cytopathology: Diagnostic Innovations and Applications

Dear Colleagues,

The field of cytopathology in tumor diagnosis is rapidly evolving, with the expanding diagnostic techniques including digital pathology and molecular diagnostics, and the growing complexity in pathological diagnosis and classification of tumors. In this Special Issue, “Advances in Tumor Cytopathology: Diagnostic Innovations and Applications”, we invite original research and timely reviews exploring the roles of cytomorphological assessment, immunocytochemistry, molecular diagnostics for screening, risk assessment, primary diagnosis and precision theragnosis, as well as digital cytopathology, deep learning and artificial intelligence in cytopathologic diagnosis. Cytopathology is advancing on many fronts, including 1) cytomorphological classification with the establishment of multiple reporting systems such as the Bethesda, Milan, Paris, World Health Organization and Yokohama systems, 2) digital image analysis and 3) molecular techniques. The collection welcomes contributions from multiple disciplines and multidisciplinary collaboration, not limited to cytopathologists but basic, computational, clinical and medical laboratory scientists, aiming to provide a comprehensive update of the most current research and practice landscape in cytopathology.

Dr. Joshua Jing Xi Li
Dr. Swati P. Satturwar
Guest Editors

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