Search results for " Multimodal Imaging"
showing 3 items of 3 documents
Impact of 18F-Choline PET/CT in the Decision-Making Strategy of Treatment Volumes in Definitive Prostate Cancer Volumetric Modulated Radiation Therapy
2015
INTRODUCTION Aim of the study is to evaluate the impact of Cho-PET/CT in decision-making strategy of patients with localized prostate cancer (PC) eligible to definitive radiotherapy (RT). MATERIALS AND METHODS Sixty patients Cho-PET/CT before RT were prospectively enrolled. All patients were treated with volumetric modulated arc therapy with simultaneous integrated boost in 28 fractions. Androgen deprivation therapy was prescribed according to National Comprehensive Cancer Network (NCCN) risk classification. Therapeutic strategy based on the Cho-PET/CT evaluation was compared with the strategy that would have been proposed in case of PET not available and/or not strictly indicated, accordin…
Minimally invasive secondary cytoreduction plus HIPEC for recurrent ovarian cancer: a case series.
2014
Objective To analyze the feasibility of laparoscopic/robotic secondary cytoreductive surgery and hyperthermic intraperitoneal intra-operative chemotherapy (SCS + HIPEC) in a retrospective series of isolated platinum sensitive recurrent ovarian cancer. Methods We retrospectively evaluated a consecutive series of ovarian cancer patients with isolated platinum sensitive relapse. Isolated relapse was defined as the presence of a single nodule, in a single anatomic site. In all cases the presence of isolated relapse was assessed at pre-operative FDG-PET/CT scan, and confirmed with staging laparoscopy performed immediately before SCS + HIPEC. Results 84 women with platinum sensitive relapse recei…
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning
2017
The aim of this study is to combine Biological Target Volume (BTV) segmentation and Gross Target Volume (GTV) segmentation in stereotactic neurosurgery.Our goal is to enhance Clinical Target Volume (CTV) definition, including metabolic and morphologic information, for treatment planning and patient follow-up.We propose a fully automatic approach for multimodal PET and MR image segmentation. This method is based on the Random Walker (RW) and Fuzzy C-Means clustering (FCM) algorithms. A total of 19 brain metastatic tumors, undergone stereotactic neuro-radiosurgery, were retrospectively analyzed. A framework for the evaluation of multimodal PET/MRI segmentation is presented, considering volume…