Objective Despite 90% Glioblastoma (GBM) recurrences occurring in the peritumoral brain zone (PBZ), its contribution in patient survival is poorly understood. The current study leverages computerized texture (i.e. radiomic) analysis to evaluate the efficacy of PBZ features from preoperative MRI in predicting long (>18-months) versus short-term (<7-months) survival in GBM. Methods 65 patient exams (29 short-term, 36 long-term) with Gadolinium-contrast T1w, FLAIR, T2w sequences from the Cancer Imaging Archive were employed. An expert manually segmented each study as: enhancing lesion, PBZ, and tumour necrosis. 402 radiomic features (capturing co-occurrence, gray-level dependence, directional gradients) was obtained for each region. Evaluation was performed using 3-fold cross validation, such that a subset of studies was used to select the most predictive features, and the remaining subset was used to evaluate their efficacy in predicting survival. Results A subset of 10 radiomic “peritumoral” MRI features, suggestive of intensity heterogeneity and textural patterns, was found to be predictive of survival (p = 1.47 × 10−5), as compared to features from enhancing tumour, necrotic regions, and known clinical factors. Conclusion Our preliminary analysis suggests that radiomic features from the PBZ on routine pre-operative MRI may be predictive of long-, versus short-term survival in GBM.

http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10101008/-/DC1.

Hypoxia, a characteristic trait of Glioblastoma (GBM), is known to cause resistance to chemo-radiation treatment and is linked with poor survival. There is hence an urgent need to non-invasively characterize tumor hypoxia to improve GBM management. We hypothesized that (a) radiomic texture descriptors can capture tumor heterogeneity manifested as a result of molecular variations in tumor hypoxia, on routine treatment naïve MRI, and (b) these imaging based texture surrogate markers of hypoxia can discriminate GBM patients as short-term (STS), mid-term (MTS), and long-term survivors (LTS). 115 studies (33 STS, 41 MTS, 41 LTS) with gadolinium-enhanced T1-weighted MRI (Gd-T1w) and T2-weighted (T2w) and FLAIR MRI protocols and the corresponding RNA sequences were obtained. After expert segmentation of necrotic, enhancing, and edematous/nonenhancing tumor regions for every study, 30 radiomic texture descriptors were extracted from every region across every MRI protocol. Using the expression profile of 21 hypoxia-associated genes, a hypoxia enrichment score (HES) was obtained for the training cohort of 85 cases. Mutual information score was used to identify a subset of radiomic features that were most informative of HES within 3-fold cross-validation to categorize studies as STS, MTS, and LTS. When validated on an additional cohort of 30 studies (11 STS, 9 MTS, 10 LTS), our results revealed that the most discriminative features of HES were also able to distinguish STS from LTS (p = 0.003).

The use of contrast-enhanced ultrasound (CEUS) for vascular imaging indications has increased dramatically during the last decade. Ultrasound contrast agents are gas-filled microbubbles that are injected into the bloodstream and serve as strict intravascular reflectors of ultrasound waves. Numerous studies have addressed the potential clinical use of CEUS in different vascular fields including the carotid arteries, the abdominal aorta, renal arteries and the kidneys. In this review article we discuss the clinical value of contrast agents in vascular ultrasound by enhancing the vascular lumen, and more important, their role as a tool to deliver high resolution, real-time images of microvascular perfusion. Specifically, CEUS imaging of the carotid artery provides a novel, non-invasive method not only to improve the delineation of the vessel wall, but also for the assessment of the vasa vasorum and the ectopic vascularization of the atherosclerotic plaque (intraplaque neovascularization); probably providing a "window" to risk stratify atherosclerotic lesions and individuals by identifying "vulnerable" plaques prone to rupture causing vascular events. CEUS imaging has also emerged as a novel diagnostic tool in various aortic pathologies and particularly for the detection of endoleaks following endovascular treatment of abdominal aortic aneurysms. It is also a valuable tool for the assessment of the tissue perfusion in native and transplanted kidneys providing information on perfusion deficits of the parenchyma. Furthermore, a real-time CEUS method has recently been developed to assess the skeletal muscle microcirculation which could be used to study patients with peripheral arterial occlusive disease or diabetic microangiopathy. In the future, the use of targeted microbubbles could further enhance and expand the diagnostic capabilities of current vascular ultrasound imaging by detecting specific molecular processes that play a role in the pathophysiology of vascular disease.