Management of de novo Metastatic Hormone-Sensitive Prostate Cancer (mHSPC) and the role of Radiation Therapy: A Consensus by the Italian Association of Radiotherapy and Clinical Oncology (AIRO).

Purpose: Prostate cancer treatments paradigms are in continuous evolution, especially in the metastatic setting. In this context, the Genito-Urinary Group of Italian Association of Radiotherapy and Clinical Oncology aimed to create a consensus on radiation therapy indication in de novo metastatic hormone-sensitive prostate cancer both on primary tumor and metastatic sites.

Methods: A panel of experts, involved in clinical management of prostate cancer, through the estimate-talk-estimate method, developed a list of items and correspondent statements on the identified topic.

Brain Stem Glioma Recurrence: Exploring the Therapeutic Frontiers.

Gliomas of the brainstem represent a small percentage of central nervous system gliomas in adults. Due to the proximity of the tumor to critical structures, radical surgery is highly challenging and limited to selected cases. In addition, postoperative treatments, which become exclusive to non-operable patients, do not guarantee satisfactory disease control, making the progression of the disease inevitable.

Local therapy in glioma: An evolving paradigm from history to horizons (Review).

Despite the implementation of multimodal treatments after surgery, glioblastoma (GBM) remains an incurable disease, posing a significant challenge in neuro-oncology. In this clinical setting, local therapy (LT), a developing paradigm, has received significant interest over time due to its potential to overcome the drawbacks of conventional therapy options for GBM. The present review aimed to trace the historical development, highlight contemporary advances and provide insights into the future horizons of LT in GBM management.

A network control theory pipeline for studying the dynamics of the structural connectome.

Network control theory (NCT) is a simple and powerful tool for studying how network topology informs and constrains the dynamics of a system. Compared to other structure-function coupling approaches, the strength of NCT lies in its capacity to predict the patterns of external control signals that may alter the dynamics of a system in a desired way. An interesting development for NCT in the neuroscience field is its application to study behavior and mental health symptoms.