Background: The nuclear grading of ductal carcinoma in situ (DCIS) affects its clinical risk. aim this study was to investigate the possibility predicting DCIS, by magnetic resonance imaging (MRI)-based radiomics features. And develop a nomogram combining features and MRI semantic explore potential role radiomic assessment DCIS grading.

The effects of a computer-aided diagnosis (CAD) system based on quantitative intensity features with magnetic resonance (MR) imaging (MRI) were evaluated by examining radiologists' performance in grading gliomas. The acquired MRI database included 71 lower-grade gliomas and 34 glioblastomas. Quantitative image features were extracted from the tumor area and combined in a CAD system to generate ...

This study aimed at combining an iron-based, steady-state, vessel size index magnetic resonance imaging (VSI MRI) approach, and a gadolinium (Gd)-based, dynamic contrast-enhanced MRI approach (DCE MRI) to characterize tumoral microvasculature. Rats bearing an orthotopic glioma (C6, n=14 and RG2, n=6) underwent DCE MRI and combined VSI and DCE MRI 4 h later, at 2.35 T. Gd-DOTA (200 mumol of Gd p...

BACKGROUND For a number of years, FDG-PET was considered as a gold standard for the differential diagnosis of recurrent glioma and radionecrosis. Recently published papers have introduced a wealth of scepticism into this area. The aim of this work is to specify the added value of FDG PET, as compared to MRI, in terms of diagnostics of recurrent gliomas in the clinical setting of the PET Centre ...

glioblastoma is considered as the most aggressive type of gliomas. its invasive character involves adjacent tissues and hinders the treatment procedure. although surgical resection followed by radiotherapy and chemotherapy have been the standard therapeutic protocol, the incompetency of detection methods to delineate the exact tumor margins results in recurrence of the tumor. nkcc1 (sodium-pota...

OBJECTIVES Deficient microvascular blood flow control is thought to cause tumor hypoxia and increase resistance to therapy. In glioma patients, we tested whether perfusion-weighted MRI (PWI) based indices of microvascular flow control provide more information on tumor grade and patient outcome than does the established PWI angiogenesis marker, cerebral blood volume (CBV). MATERIAL AND METHODS...

Clinical decision-making in oncology involves multimodal data such as radiology scans, molecular profiling, histopathology slides, and clinical factors. Despite the importance of these modalities individually, no deep learning framework to date has combined them all predict patient prognosis. Here, we overall survival (OS) glioma patients from diverse with a Deep Orthogonal Fusion (DOF) model. ...