Sandro Misciagna

Belcolle Hospital

Dr. Sandro Misciagna was born on March 15, 1969 in Italy. He received his degree in medicine in 1995 and in neurology in 1999 at the Catholic University in Rome. From 1993 to 1995 he attended a research laboratory involved in cerebellar functions in mice. From 1994 to 2003 he attended the Neuropsychological Department of the Catholic University involved in human cognitive and behavioral disorders, writing various publications and book chapters. From 2001 to 2003 he was a teacher of clinical neuropsychology, clinical neurology, and cognitive rehabilitation mainly at the Catholic University. In 2003 he took a PhD in Neuroscience at the Catholic University discussing behavioral and cognitive profiles of patients with frontotemporal dementia. As a clinician he has worked in different neurological departments in Italian hospitals, Alzheimer’s clinics, neuropsychiatric clinics, and neurological rehabilitative departments. From November 2016 he worked as a clinical neurologist in the Neurological Department and Stroke Unit of Belcolle Hospital in Viterbo. Recent interests include patients with epilepsy and epileptic seizure, neurophysiological studies, and antiepileptic pharmacological therapies.

3books edited

4chapters authored

Latest work with IntechOpen by Sandro Misciagna

Positron Emission Tomography is a nuclear medicine technique first used to study the brain. Several decades ago, PET scanners design and performance have improved considerably: number of detectors has increased from 20 to 20,0000, axial field of view from 2 to 20 cm, spatial resolution has improved from 25 to 5 mm, sensitivity has increased of about 1000 fold. At the same time, clinical applications have grown dramatically. In the first section of this book the authors review some of developments in PET instrumentation, with emphasis on data acquisition, processing and image formation. In the second section authors expose examples of applications in human research. In the last section authors describe applications in assessment and prediction of oncological treatment response.

Go to the book