The encouraging results of the proposed technique could be of benefit in optimizing the reconstruction of large critical-size bone defects.

Morphologically significant lesions could be underlying in patients with clinically significant CVD. Direct MDCT-V provides clear reconstructable cross-sectional images of the whole deep venous tree, including infrainguinal areas, beyond the reach of intravascular ultrasound. Utilization of new venous imaging modalities may uncover previously undiagnosed and potentially treatable venous pathology in patients with CVD.

Popliteal venous aneurysms have always been linked to death from pulmonary embolism. Incidental finding of an asymptomatic popliteal venous aneurysm during duplex scan performed for patients with chronic venous disease is increasingly diagnosed but the relation between popliteal venous aneurysms and chronic venous disease remains unknown. We report the incidental finding of three asymptomatic popliteal venous aneurysms associated with iliac vein compression in patients with chronic venous disease who had undergone computed tomography venography with direct pedal contrast injection. An association between popliteal venous aneurysms and iliac vein compression is postulated.

Background Non-neoplastic brain lesions can be misdiagnosed as low-grade gliomas. Conventional magnetic resonance (MR) imaging may be non-specific. Additional imaging modalities such as spectroscopy (MRS), perfusion and diffusion imaging aid in diagnosis of such lesions. However, contradictory and overlapping results are still present. Hence, our purpose was to evaluate the role of advanced neuro-imaging in differentiation between low-grade gliomas (WHO grade II) and MR morphologically similar non-neoplastic lesions and to prove which modality has the most accurate results in differentiation. Results All patients were classified into two main groups: patients with low-grade glioma (n = 12; mean age, 38.8 ± 16; 8 males) and patients with non-neoplastic lesions (n = 27; mean age, 36.6 ± 15; 19 males) based on the histopathological and clinical–radiological diagnosis. Using ROC curve analysis, a threshold value of 0.93 for rCBV (AUC = 0.875, PPV = 92%, NPV = 71.4%) and a threshold value of 2.5 for Cho/NAA (AUC = 0.829, PPV = 92%, NPV = 71.4%) had 85.2% sensitivity and 83.3% specificity for predicting neoplastic lesions. The area under the curve (AUC) of ROC analysis was good for relative cerebral blood volume (rCBV) and Cho/NAA ratios (> 0.80) and fair for Cho/Cr and NAA/Cr ratios (0.70–0.80). When the rCBV measurements were combined with MRS ratios, significant improvement was observed in the area under the curve (AUC) (0.969) with improved diagnostic accuracy (89.7%) and sensitivity (88.9%). Conclusions Evaluation of rCBV and metabolite ratios at MRS, particularly Cho/NAA ratio, may be helpful in differentiating low-grade gliomas from non-neoplastic lesions. The combination of dynamic susceptibility contrast (DSC) perfusion and MRS can significantly improve the diagnostic accuracy and can help avoiding the need for an invasive biopsy.

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