Publications by authors named "F Roncaroli"
Objective: Brainstem cavernous malformations (BSCMs) were once considered inoperable. Microsurgical resection now represents a valuable option for treating patients with hemorrhagic or symptomatic lesions. The aim of this study was to provide a practical guide for surgical planning by analyzing postoperative neurological and functional outcomes.
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- - Non-neuroendocrine tumors make up about 10% of primary tumors in the sella, with a variety of unusual, benign, and aggressive types present.
- - The review focuses on key characteristics of tumors related to the posterior pituitary gland and specific types like infundibulum tumors and atypical rhabdoid teratoid tumors.
- - It provides essential information for diagnosing and managing these tumors, highlighting their clinicopathological features.
Skull base chordomas and chondrosarcomas are distinct types of rare, locally aggressive mesenchymal tumors that share key principles of imaging investigation and multidisciplinary care. Maximal safe surgical resection is the treatment choice for each, often via an expanded endoscopic endonasal approach, with or without multilayer skull base repair. Postoperative adjuvant radiation therapy is frequently administered, usually with particle therapy such as proton beam therapy (PBT).
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- The study introduces a method to predict protein expression in tissues using standard H&E stained images, aiming to enhance understanding of diseases like cancer and improve precision medicine outcomes.
- The authors develop a framework called Ouroboros that generates H&E images from protein profiles and vice versa, highlighting spatial changes in glioblastoma samples.
- Validation of this method with extensive data shows significant improvements over previous techniques in predicting protein expression and generating virtual images, suggesting potential for better diagnostic and therapeutic decisions.
The aim of this multicenter prospective survey called PIT-EASY was to assess the relevance of the European Pituitary Pathology Group (EPPG) diagnostic tools for pituitary neuroendocrine tumors (PitNETs) to improve the quality of their histological diagnosis. Each center performed at least 30 histological cases of PitNETs using the EPPG tools and assessed their value using a scorecard with 10 questions. For each center, the histological cases were carried out by pathologists with varying levels of expertise in pituitary pathology defined as junior, intermediate, and expert.
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