A Predictive System to Classify Preoperative Grading of Rectal Cancer Using Radiomics Features

Although preoperative biopsy of rectal cancer (RC) is an essential step for confirmation of diagnosis, it currently fails to provide prognostic information to the clinician beyond a rough estimation of tumour grade. In this study we used a risk classification to stratified patient in low-risk and high-risk patients in relation to the disease free survival and the overall survival using histopathological post-operative features. The purpose of this study was to evaluate if low-risk and high-risk RC can be distinguished using a CT-based radiomics model. We retrospectively reviewed the preoperative abdominal contrast-enhanced CT of 40 patients with RC. CT portal-venous phase was used for manua…

IMAGING IN RISONANZA MAGNETICA NELLE FISTOLE PERIANALI

Role of Densitometric Criteria in Evaluation of Effectiveness of Antiangiogenic Therapies in Metastatic Colorectal Cancer: An Italian Clinical Experience.

Background/Aim: To evaluate the role of densitometric criterion using the Choi Criteria in the assessment of the response to antiangiogenic treatments of metastatic colorectal cancer (mCRC) compared to the RECIST criteria. Patients and Methods: Fifty-four patients (mean age=50.6 years ) affected by advanced colorectal cancer and with hepatic and possibly peritoneal and pulmonary metastases, that can be treated with bevacizumab, were prospectively evaluated by computerized tomography (CT) scan. Metastases were also evaluated by CT in onedimensional form according to RECIST. Results: Results show that in 58% of analyzed cases, stable disease according to RECIST coincided with stable disease a…

A Random Neural Network for the Dynamic Multicast Problem

This paper proposes a new heuristic for the dynamic version of the Steiner Tree Problem in Networks (SPN). The heuristic adopts a Random Neural Network (RNN) to improve solutions obtained by previously proposed dynamic algorithms. The Random Neural Network model is adapted to map the intrinsic features of the multicast transmission on a computer network. Exhaustive experiments are carried out to validate the proposed methodology.