Advancements in Thoracic Surgical Oncology

Dear Colleagues,

The latest advancements in clinical practice and surgical oncology have revolutionized the current concept of care provided to patients.

With the advancement of technologies available, healthcare is undergoing a cultural transformation where these aiding advancements are becoming ever more indispensable to provide the “best practice” possible. “Surgery” is one of the areas that has benefited the most from these advancements, as high technology has greatly aided in performing the increasingly complex procedures with the best outcomes possible.

Lung cancer represents the most diagnosed malignancy and the leading cause of cancer-related mortality in the world.

The substantial advances in screening methods, early diagnosis, and breakthroughs in treatments have increased survival rates among patients with lung cancer.

These are just some of the key elements of the ongoing revolution, which in association with "advanced imaging", "machine learning", "big data", "virtual simulation" and "tissue analysis" integrated with the most modern robotic platforms, constitute what is now called "digital surgery".

Thanks to novel therapies such as immunotherapy, new intra-operative imaging techniques, and new real-time diagnostic methodologies, we are advancing to obtain patient’s tailored therapies for lung cancer patients.

With this Special Issue, we aim at obtaining an overview of the latest advancements available in the field of lung cancer and mediastinal lesions. These advancements have drastically improved patients’ conditions and are allowing a progressive achievement of patient-tailored treatments with better prognosis and quality of life for oncologic patients.

In this Special Issue, original research articles, reviews, perspectives, communications, and opinion manuscripts are welcome.

We look forward to receiving your contributions.

Prof. Franca M.A. Melfi
Prof. Alan Sihoe
Prof. Federico Venuta
Dr. Carmelina C. Zirafa
Prof. Dr. Mohsen Ibrahim
Guest Editors

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